From 6920059c9c164b05a421669c54d9eb6b7dbdb11d 2016-09-12 22:08:06
From: Fiorella Quino <fiorella.quino@jro.igp.gob.pe>
Date: 2016-09-12 22:08:06
Subject: [PATCH] Task #716: ABS Views, plot beams patterns with OverJRO and overJroShow scripts

git-svn-id: http://jro-dev.igp.gob.pe/svn/jro_hard/radarsys/trunk/webapp@201 aa17d016-51d5-4e8b-934c-7b2bbb1bbe71

---

diff --git a/apps/abs/templates/abs_downpattern_img.html b/apps/abs/templates/abs_downpattern_img.html
new file mode 100644
index 0000000..3479a4f
--- /dev/null
+++ b/apps/abs/templates/abs_downpattern_img.html
@@ -0,0 +1,25 @@
+{% load static %}
+{% load bootstrap3 %}
+{% load main_tags %}
+
+{% block content %}
+<style>
+</style>
+
+<div id="PictureOverJRODown" style="float: right">
+  <img id="imgMainDown" src="{% url 'url_plot_down_beam' beam.abs_conf.id beam.id %}" alt="Error in Parameters" style="width:360px;height:270px;">
+  <img id="imgLoaderDown" src="{% static 'images/loading_loading.gif' %}" alt="Error in Parameters" width="50" height="50" align="left">
+
+</div>
+
+<script>
+
+$('#imgMainDown').hide();
+	$('#imgLoaderDown').show();
+	    $('#imgMainDown').load(function(){
+	      $('#imgLoaderDown').hide();
+        $('#imgMainDown').show();
+});
+//window.onload = function () { alert("It's loaded!") }
+</script>
+{% endblock %}
diff --git a/apps/abs/templates/abs_pattern.html b/apps/abs/templates/abs_pattern.html
index 106e89e..e9e2c21 100644
--- a/apps/abs/templates/abs_pattern.html
+++ b/apps/abs/templates/abs_pattern.html
@@ -167,194 +167,6 @@
 
 </style>
 
-<script>
-$(document).ready(function() {
-
-  {% for beam in abs_beams %}
-    $( "#button-{{ forloop.counter }}" ).click(function() {
-
-      var antenna_upvalues     = {{beam.antenna_upvalues}};
-      var antenna_downvalues     = {{beam.antenna_downvalues}};
-
-      var table_up = document.getElementById('antenna_up');
-      var cells_up = table_up.getElementsByTagName('td');
-
-      var table_down = document.getElementById('antenna_down');
-      var cells_down = table_down.getElementsByTagName('td');
-
-      //TX Tables
-      var tx_upvalues   = {{beam.get_tx.up}};
-      var tx_downvalues = {{beam.get_tx.down}};
-
-      var tabletx_up = document.getElementById('tx_up');
-      var cellstx_up = tabletx_up.getElementsByTagName('td');
-      var tabletx_down = document.getElementById('tx_down');
-      var cellstx_down = tabletx_down.getElementsByTagName('td');
-
-      //RX Tables
-      var rx_upvalues   = {{beam.get_rx.up}};
-      var rx_downvalues = {{beam.get_rx.down}};
-
-      var tablerx_up = document.getElementById('rx_up');
-      var cellsrx_up = tablerx_up.getElementsByTagName('td');
-      var tablerx_down = document.getElementById('rx_down');
-      var cellsrx_down = tablerx_down.getElementsByTagName('td');
-
-      //alert(cells_down[51].textContent);
-      //alert(cells_up[51].textContent);
-
-      for (var i = 1, len = 17; i < len; i++) {
-          if ((i > 12) && (i<17)){
-            cells_up[i].innerHTML   = antenna_upvalues[3][i-13].toFixed(1);
-            cells_down[i].innerHTML = antenna_downvalues[3][i-13].toFixed(1);
-            cellstx_up[i].innerHTML   = tx_upvalues[3][i-13];
-            cellstx_down[i].innerHTML = tx_downvalues[3][i-13];
-            cellsrx_up[i].innerHTML   = rx_upvalues[3][i-13];
-            cellsrx_down[i].innerHTML = rx_downvalues[3][i-13];
-          }
-          else if ((i > 8) && (i<13)){
-            cells_up[i].innerHTML   = antenna_upvalues[2][i-9].toFixed(1);
-            cells_down[i].innerHTML = antenna_downvalues[2][i-9].toFixed(1);
-            cellstx_up[i].innerHTML   = tx_upvalues[2][i-9];
-            cellstx_down[i].innerHTML = tx_downvalues[2][i-9];
-            cellsrx_up[i].innerHTML   = rx_upvalues[2][i-9];
-            cellsrx_down[i].innerHTML = rx_downvalues[2][i-9];
-          }
-          else if ((i > 4) && (i<9)){
-            cells_up[i].innerHTML   = antenna_upvalues[1][i-5].toFixed(1);
-            cells_down[i].innerHTML = antenna_downvalues[1][i-5].toFixed(1);
-            cellstx_up[i].innerHTML   = tx_upvalues[1][i-5];
-            cellstx_down[i].innerHTML = tx_downvalues[1][i-5];
-            cellsrx_up[i].innerHTML   = rx_upvalues[1][i-5];
-            cellsrx_down[i].innerHTML = rx_downvalues[1][i-5];
-          }
-          else if (i < 5) {
-            cells_up[i].innerHTML   = antenna_upvalues[0][i-1].toFixed(1);
-            cells_down[i].innerHTML = antenna_downvalues[0][i-1].toFixed(1);
-            cellstx_up[i].innerHTML   = tx_upvalues[0][i-1];
-            cellstx_down[i].innerHTML = tx_downvalues[0][i-1];
-            cellsrx_up[i].innerHTML   = rx_upvalues[0][i-1];
-            cellsrx_down[i].innerHTML = rx_downvalues[0][i-1];
-            }
-        }
-
-        for (var i = 18, len = 34; i < len; i++) {
-          if ((i > 29) && (i<34)) {
-            cells_up[i].innerHTML   = antenna_upvalues[3][i-26].toFixed(1);
-            cells_down[i].innerHTML = antenna_downvalues[3][i-26].toFixed(1);
-            cellstx_up[i].innerHTML   = tx_upvalues[3][i-26];
-            cellstx_down[i].innerHTML = tx_downvalues[3][i-26];
-            cellsrx_up[i].innerHTML   = rx_upvalues[3][i-26];
-            cellsrx_down[i].innerHTML = rx_downvalues[3][i-26];
-          }
-          if ((i > 25) && (i<30)) {
-            cells_up[i].innerHTML   = antenna_upvalues[2][i-22].toFixed(1);
-            cells_down[i].innerHTML = antenna_downvalues[2][i-22].toFixed(1);
-            cellstx_up[i].innerHTML   = tx_upvalues[2][i-22];
-            cellstx_down[i].innerHTML = tx_downvalues[2][i-22];
-            cellsrx_up[i].innerHTML   = rx_upvalues[2][i-22];
-            cellsrx_down[i].innerHTML = rx_downvalues[2][i-22];
-          }
-          else if ((i > 21) && (i<26)) {
-            cells_up[i].innerHTML   = antenna_upvalues[1][i-18].toFixed(1);
-            cells_down[i].innerHTML = antenna_downvalues[1][i-18].toFixed(1);
-            cellstx_up[i].innerHTML   = tx_upvalues[1][i-18];
-            cellstx_down[i].innerHTML = tx_downvalues[1][i-18];
-            cellsrx_up[i].innerHTML   = rx_upvalues[1][i-18];
-            cellsrx_down[i].innerHTML = rx_downvalues[1][i-18];
-          }
-          else if (i < 22) {
-            cells_up[i].innerHTML = antenna_upvalues[0][i-14].toFixed(1);
-            cells_down[i].innerHTML = antenna_downvalues[0][i-14].toFixed(1);
-            cellstx_up[i].innerHTML   = tx_upvalues[0][i-14];
-            cellstx_down[i].innerHTML = tx_downvalues[0][i-14];
-            cellsrx_up[i].innerHTML   = rx_upvalues[0][i-14];
-            cellsrx_down[i].innerHTML = rx_downvalues[0][i-14];
-          }
-        }
-
-        for (var i = 35, len = 51; i < len; i++) {
-          if ((i > 46) && (i<51)) {
-            cells_up[i].innerHTML   = antenna_upvalues[7][i-47].toFixed(1);
-            cells_down[i].innerHTML = antenna_downvalues[7][i-47].toFixed(1);
-            cellstx_up[i].innerHTML   = tx_upvalues[7][i-47];
-            cellstx_down[i].innerHTML = tx_downvalues[7][i-47];
-            cellsrx_up[i].innerHTML   = rx_upvalues[7][i-47];
-            cellsrx_down[i].innerHTML = rx_downvalues[7][i-47];
-          }
-          else if ((i > 42) && (i<47)) {
-            cells_up[i].innerHTML   = antenna_upvalues[6][i-43].toFixed(1);
-            cells_down[i].innerHTML = antenna_downvalues[6][i-43].toFixed(1);
-            cellstx_up[i].innerHTML   = tx_upvalues[6][i-43];
-            cellstx_down[i].innerHTML = tx_downvalues[6][i-43];
-            cellsrx_up[i].innerHTML   = rx_upvalues[6][i-43];
-            cellsrx_down[i].innerHTML = rx_downvalues[6][i-43];
-          }
-          else if ((i > 38) && (i<43)) {
-            cells_up[i].innerHTML   = antenna_upvalues[5][i-39].toFixed(1);
-            cells_down[i].innerHTML = antenna_downvalues[5][i-39].toFixed(1);
-            cellstx_up[i].innerHTML   = tx_upvalues[5][i-39];
-            cellstx_down[i].innerHTML = tx_downvalues[5][i-39];
-            cellsrx_up[i].innerHTML = rx_upvalues[5][i-39];
-            cellsrx_down[i].innerHTML = rx_downvalues[5][i-39];
-          }
-          else if (i < 39) {
-            cells_up[i].innerHTML   = antenna_upvalues[4][i-35].toFixed(1);
-            cells_down[i].innerHTML = antenna_downvalues[4][i-35].toFixed(1);
-            cellstx_up[i].innerHTML   = tx_upvalues[4][i-35];
-            cellstx_down[i].innerHTML = tx_downvalues[4][i-35];
-            cellsrx_up[i].innerHTML = rx_upvalues[4][i-35];
-            cellsrx_down[i].innerHTML = rx_downvalues[4][i-35];
-            }
-        }
-
-        for (var i = 52, len = 68; i < len; i++) {
-          if ((i > 63) && (i<68)) {
-            cells_up[i].innerHTML   = antenna_upvalues[7][i-60].toFixed(1);
-            cells_down[i].innerHTML = antenna_downvalues[7][i-60].toFixed(1);
-            cellstx_up[i].innerHTML   = tx_upvalues[7][i-60];
-            cellstx_down[i].innerHTML = tx_downvalues[7][i-60];
-            cellsrx_up[i].innerHTML   = rx_upvalues[7][i-60];
-            cellsrx_down[i].innerHTML = rx_downvalues[7][i-60];
-            }
-          else if ((i > 59) && (i<64)) {
-            cells_up[i].innerHTML   = antenna_upvalues[6][i-56].toFixed(1);
-            cells_down[i].innerHTML = antenna_downvalues[6][i-56].toFixed(1);
-            cellstx_up[i].innerHTML   = tx_upvalues[6][i-56];
-            cellstx_down[i].innerHTML = tx_downvalues[6][i-56];
-            cellsrx_up[i].innerHTML   = rx_upvalues[6][i-56];
-            cellsrx_down[i].innerHTML = rx_downvalues[6][i-56];
-            }
-          else if ((i > 55) && (i<60)) {
-            cells_up[i].innerHTML   = antenna_upvalues[5][i-52].toFixed(1);
-            cells_down[i].innerHTML = antenna_downvalues[5][i-52].toFixed(1);
-            cellstx_up[i].innerHTML   = tx_upvalues[5][i-52];
-            cellstx_down[i].innerHTML = tx_downvalues[5][i-52];
-            cellsrx_up[i].innerHTML   = rx_upvalues[5][i-52];
-            cellsrx_down[i].innerHTML = rx_downvalues[5][i-52];
-            }
-          else if (i < 56) {
-            cells_up[i].innerHTML   = antenna_upvalues[4][i-48].toFixed(1);
-            cells_down[i].innerHTML = antenna_downvalues[4][i-48].toFixed(1);
-            cellstx_up[i].innerHTML   = tx_upvalues[4][i-48];
-            cellstx_down[i].innerHTML = tx_downvalues[4][i-48];
-            cellsrx_up[i].innerHTML   = rx_upvalues[4][i-48];
-            cellsrx_down[i].innerHTML = rx_downvalues[4][i-48];
-            }
-        }
-
-        var up_ues = document.getElementById('up_ues');
-        up_ues.innerHTML = "{{beam.get_up_ues}}";
-        var down_ues = document.getElementById('down_ues');
-        down_ues.innerHTML = "{{beam.get_down_ues}}";
-
-      });
-
-  {% endfor %}
-
-});
-</script>
-
 
 <div id="UP" class="panel-group">
   <div class="panel panel-default">
@@ -367,68 +179,36 @@ $(document).ready(function() {
               <tr>
                 <td> North Quarter
                   <table class="north_quarter">
-                    <tr>
-                      <td>{{abs_beams.0.get_upvalues.0}}</td> <td>{{abs_beams.0.get_upvalues.1}}</td> <td>{{abs_beams.0.get_upvalues.2}}</td> <td>{{abs_beams.0.get_upvalues.3}}</td>
-                    </tr>
-                    <tr>
-                      <td>{{abs_beams.0.get_upvalues.8}}</td> <td>{{abs_beams.0.get_upvalues.9}}</td> <td>{{abs_beams.0.get_upvalues.10}}</td> <td>{{abs_beams.0.get_upvalues.11}}</td>
-                    </tr>
-                    <tr>
-                      <td>{{abs_beams.0.get_upvalues.16}}</td> <td>{{abs_beams.0.get_upvalues.17}}</td> <td>{{abs_beams.0.get_upvalues.18}}</td> <td>{{abs_beams.0.get_upvalues.19}}</td>
-                    </tr>
-                    <tr>
-                      <td>{{abs_beams.0.get_upvalues.24}}</td> <td>{{abs_beams.0.get_upvalues.25}}</td> <td>{{abs_beams.0.get_upvalues.26}}</td> <td>{{abs_beams.0.get_upvalues.27}}</td>
-                    </tr>
+                    <tr> <td>{{beam.get_upvalues.0}}</td> <td>{{beam.get_upvalues.1}}</td> <td>{{beam.get_upvalues.2}}</td> <td>{{beam.get_upvalues.3}}</td> </tr>
+                    <tr> <td>{{beam.get_upvalues.8}}</td> <td>{{beam.get_upvalues.9}}</td> <td>{{beam.get_upvalues.10}}</td> <td>{{beam.get_upvalues.11}}</td> </tr>
+                    <tr> <td>{{beam.get_upvalues.16}}</td> <td>{{beam.get_upvalues.17}}</td> <td>{{beam.get_upvalues.18}}</td> <td>{{beam.get_upvalues.19}}</td> </tr>
+                    <tr> <td>{{beam.get_upvalues.24}}</td> <td>{{beam.get_upvalues.25}}</td> <td>{{beam.get_upvalues.26}}</td> <td>{{beam.get_upvalues.27}}</td> </tr>
                   </table>
                 </td>
                 <td> East Quarter
                   <table class="east_quarter">
-                    <tr>
-                      <td>{{abs_beams.0.get_upvalues.4}}</td> <td>{{abs_beams.0.get_upvalues.5}}</td> <td>{{abs_beams.0.get_upvalues.6}}</td> <td>{{abs_beams.0.get_upvalues.7}}</td>
-                    </tr>
-                    <tr>
-                      <td>{{abs_beams.0.get_upvalues.12}}</td> <td>{{abs_beams.0.get_upvalues.13}}</td> <td>{{abs_beams.0.get_upvalues.14}}</td> <td>{{abs_beams.0.get_upvalues.15}}</td>
-                    </tr>
-                    <tr>
-                      <td>{{abs_beams.0.get_upvalues.20}}</td> <td>{{abs_beams.0.get_upvalues.21}}</td> <td>{{abs_beams.0.get_upvalues.22}}</td> <td>{{abs_beams.0.get_upvalues.23}}</td>
-                    </tr>
-                    <tr>
-                      <td>{{abs_beams.0.get_upvalues.28}}</td> <td>{{abs_beams.0.get_upvalues.29}}</td> <td>{{abs_beams.0.get_upvalues.30}}</td> <td>{{abs_beams.0.get_upvalues.31}}</td>
-                    </tr>
+                    <tr> <td>{{beam.get_upvalues.4}}</td> <td>{{beam.get_upvalues.5}}</td> <td>{{beam.get_upvalues.6}}</td> <td>{{beam.get_upvalues.7}}</td> </tr>
+                    <tr> <td>{{beam.get_upvalues.12}}</td> <td>{{beam.get_upvalues.13}}</td> <td>{{beam.get_upvalues.14}}</td> <td>{{beam.get_upvalues.15}}</td> </tr>
+                    <tr> <td>{{beam.get_upvalues.20}}</td> <td>{{beam.get_upvalues.21}}</td> <td>{{beam.get_upvalues.22}}</td> <td>{{beam.get_upvalues.23}}</td> </tr>
+                    <tr> <td>{{beam.get_upvalues.28}}</td> <td>{{beam.get_upvalues.29}}</td> <td>{{beam.get_upvalues.30}}</td> <td>{{beam.get_upvalues.31}}</td> </tr>
                   </table>
                 </td>
               </tr>
               <tr>
                 <td> West Quarter
                   <table class="west_quarter">
-                    <tr>
-                      <td>{{abs_beams.0.get_upvalues.32}}</td> <td>{{abs_beams.0.get_upvalues.33}}</td> <td>{{abs_beams.0.get_upvalues.34}}</td> <td>{{abs_beams.0.get_upvalues.35}}</td>
-                    </tr>
-                    <tr>
-                      <td>{{abs_beams.0.get_upvalues.40}}</td> <td>{{abs_beams.0.get_upvalues.41}}</td> <td>{{abs_beams.0.get_upvalues.42}}</td> <td>{{abs_beams.0.get_upvalues.43}}</td>
-                    </tr>
-                    <tr>
-                      <td>{{abs_beams.0.get_upvalues.48}}</td> <td>{{abs_beams.0.get_upvalues.49}}</td> <td>{{abs_beams.0.get_upvalues.50}}</td> <td>{{abs_beams.0.get_upvalues.51}}</td>
-                    </tr>
-                    <tr>
-                      <td>{{abs_beams.0.get_upvalues.56}}</td> <td>{{abs_beams.0.get_upvalues.57}}</td> <td>{{abs_beams.0.get_upvalues.58}}</td> <td>{{abs_beams.0.get_upvalues.59}}</td>
-                    </tr>
+                    <tr> <td>{{beam.get_upvalues.32}}</td> <td>{{beam.get_upvalues.33}}</td> <td>{{beam.get_upvalues.34}}</td> <td>{{beam.get_upvalues.35}}</td> </tr>
+                    <tr> <td>{{beam.get_upvalues.40}}</td> <td>{{beam.get_upvalues.41}}</td> <td>{{beam.get_upvalues.42}}</td> <td>{{beam.get_upvalues.43}}</td> </tr>
+                    <tr> <td>{{beam.get_upvalues.48}}</td> <td>{{beam.get_upvalues.49}}</td> <td>{{beam.get_upvalues.50}}</td> <td>{{beam.get_upvalues.51}}</td> </tr>
+                    <tr> <td>{{beam.get_upvalues.56}}</td> <td>{{beam.get_upvalues.57}}</td> <td>{{beam.get_upvalues.58}}</td> <td>{{beam.get_upvalues.59}}</td> </tr>
                   </table>
                 </td>
                 <td> South Quarter
                   <table class="south_quarter">
-                    <tr>
-                      <td>{{abs_beams.0.get_upvalues.36}}</td> <td>{{abs_beams.0.get_upvalues.37}}</td> <td>{{abs_beams.0.get_upvalues.38}}</td> <td>{{abs_beams.0.get_upvalues.39}}</td>
-                    </tr>
-                    <tr>
-                      <td>{{abs_beams.0.get_upvalues.44}}</td> <td>{{abs_beams.0.get_upvalues.45}}</td> <td>{{abs_beams.0.get_upvalues.46}}</td> <td>{{abs_beams.0.get_upvalues.47}}</td>
-                    </tr>
-                    <tr>
-                      <td>{{abs_beams.0.get_upvalues.52}}</td> <td>{{abs_beams.0.get_upvalues.53}}</td> <td>{{abs_beams.0.get_upvalues.54}}</td> <td>{{abs_beams.0.get_upvalues.55}}</td>
-                    </tr>
-                    <tr>
-                      <td>{{abs_beams.0.get_upvalues.60}}</td> <td>{{abs_beams.0.get_upvalues.61}}</td> <td>{{abs_beams.0.get_upvalues.62}}</td> <td>{{abs_beams.0.get_upvalues.63}}</td>
-                    </tr>
+                    <tr> <td>{{beam.get_upvalues.36}}</td> <td>{{beam.get_upvalues.37}}</td> <td>{{beam.get_upvalues.38}}</td> <td>{{beam.get_upvalues.39}}</td> </tr>
+                    <tr> <td>{{beam.get_upvalues.44}}</td> <td>{{beam.get_upvalues.45}}</td> <td>{{beam.get_upvalues.46}}</td> <td>{{beam.get_upvalues.47}}</td> </tr>
+                    <tr> <td>{{beam.get_upvalues.52}}</td> <td>{{beam.get_upvalues.53}}</td> <td>{{beam.get_upvalues.54}}</td> <td>{{beam.get_upvalues.55}}</td> </tr>
+                    <tr> <td>{{beam.get_upvalues.60}}</td> <td>{{beam.get_upvalues.61}}</td> <td>{{beam.get_upvalues.62}}</td> <td>{{beam.get_upvalues.63}}</td> </tr>
                   </table>
                 </td>
               </tr>
@@ -446,32 +226,32 @@ $(document).ready(function() {
                 <td> North Quarter
                   <table align="center" class="north_quarter">
                     <tr>
-                      <td>{{abs_beams.0.get_tx.up.0.0}}</td> <td>{{abs_beams.0.get_tx.up.0.1}}</td> <td>{{abs_beams.0.get_tx.up.0.2}}</td> <td>{{abs_beams.0.get_tx.up.0.3}}</td>
+                      <td>{{beam.get_tx.up.0.0}}</td> <td>{{beam.get_tx.up.0.1}}</td> <td>{{beam.get_tx.up.0.2}}</td> <td>{{beam.get_tx.up.0.3}}</td>
                     </tr>
                     <tr>
-                      <td>{{abs_beams.0.get_tx.up.1.0}}</td> <td>{{abs_beams.0.get_tx.up.1.1}}</td> <td>{{abs_beams.0.get_tx.up.1.2}}</td> <td>{{abs_beams.0.get_tx.up.1.3}}</td>
+                      <td>{{beam.get_tx.up.1.0}}</td> <td>{{beam.get_tx.up.1.1}}</td> <td>{{beam.get_tx.up.1.2}}</td> <td>{{beam.get_tx.up.1.3}}</td>
                     </tr>
                     <tr>
-                      <td>{{abs_beams.0.get_tx.up.2.0}}</td> <td>{{abs_beams.0.get_tx.up.2.1}}</td> <td>{{abs_beams.0.get_tx.up.2.2}}</td> <td>{{abs_beams.0.get_tx.up.2.3}}</td>
+                      <td>{{beam.get_tx.up.2.0}}</td> <td>{{beam.get_tx.up.2.1}}</td> <td>{{beam.get_tx.up.2.2}}</td> <td>{{beam.get_tx.up.2.3}}</td>
                     </tr>
                     <tr>
-                      <td>{{abs_beams.0.get_tx.up.3.0}}</td> <td>{{abs_beams.0.get_tx.up.3.1}}</td> <td>{{abs_beams.0.get_tx.up.3.2}}</td> <td>{{abs_beams.0.get_tx.up.3.3}}</td>
+                      <td>{{beam.get_tx.up.3.0}}</td> <td>{{beam.get_tx.up.3.1}}</td> <td>{{beam.get_tx.up.3.2}}</td> <td>{{beam.get_tx.up.3.3}}</td>
                     </tr>
                   </table>
                 </td>
                 <td> East Quarter
                   <table align="center" class="east_quarter">
                     <tr>
-                      <td>{{abs_beams.0.get_tx.up.0.4}}</td> <td>{{abs_beams.0.get_tx.up.0.5}}</td> <td>{{abs_beams.0.get_tx.up.0.6}}</td> <td>{{abs_beams.0.get_tx.up.0.7}}</td>
+                      <td>{{beam.get_tx.up.0.4}}</td> <td>{{beam.get_tx.up.0.5}}</td> <td>{{beam.get_tx.up.0.6}}</td> <td>{{beam.get_tx.up.0.7}}</td>
                     </tr>
                     <tr>
-                      <td>{{abs_beams.0.get_tx.up.1.4}}</td> <td>{{abs_beams.0.get_tx.up.1.5}}</td> <td>{{abs_beams.0.get_tx.up.1.6}}</td> <td>{{abs_beams.0.get_tx.up.1.7}}</td>
+                      <td>{{beam.get_tx.up.1.4}}</td> <td>{{beam.get_tx.up.1.5}}</td> <td>{{beam.get_tx.up.1.6}}</td> <td>{{beam.get_tx.up.1.7}}</td>
                     </tr>
                     <tr>
-                      <td>{{abs_beams.0.get_tx.up.2.4}}</td> <td>{{abs_beams.0.get_tx.up.2.5}}</td> <td>{{abs_beams.0.get_tx.up.2.6}}</td> <td>{{abs_beams.0.get_tx.up.2.7}}</td>
+                      <td>{{beam.get_tx.up.2.4}}</td> <td>{{beam.get_tx.up.2.5}}</td> <td>{{beam.get_tx.up.2.6}}</td> <td>{{beam.get_tx.up.2.7}}</td>
                     </tr>
                     <tr>
-                      <td>{{abs_beams.0.get_tx.up.3.4}}</td> <td>{{abs_beams.0.get_tx.up.3.5}}</td> <td>{{abs_beams.0.get_tx.up.3.6}}</td> <td>{{abs_beams.0.get_tx.up.3.7}}</td>
+                      <td>{{beam.get_tx.up.3.4}}</td> <td>{{beam.get_tx.up.3.5}}</td> <td>{{beam.get_tx.up.3.6}}</td> <td>{{beam.get_tx.up.3.7}}</td>
                     </tr>
                   </table>
                 </td>
@@ -480,32 +260,32 @@ $(document).ready(function() {
                 <td> West Quarter
                   <table align="center" class="west_quarter">
                     <tr>
-                      <td>{{abs_beams.0.get_tx.up.4.0}}</td> <td>{{abs_beams.0.get_tx.up.4.1}}</td> <td>{{abs_beams.0.get_tx.up.4.2}}</td> <td>{{abs_beams.0.get_tx.up.4.3}}</td>
+                      <td>{{beam.get_tx.up.4.0}}</td> <td>{{beam.get_tx.up.4.1}}</td> <td>{{beam.get_tx.up.4.2}}</td> <td>{{beam.get_tx.up.4.3}}</td>
                     </tr>
                     <tr>
-                      <td>{{abs_beams.0.get_tx.up.5.0}}</td> <td>{{abs_beams.0.get_tx.up.5.1}}</td> <td>{{abs_beams.0.get_tx.up.5.2}}</td> <td>{{abs_beams.0.get_tx.up.5.3}}</td>
+                      <td>{{beam.get_tx.up.5.0}}</td> <td>{{beam.get_tx.up.5.1}}</td> <td>{{beam.get_tx.up.5.2}}</td> <td>{{beam.get_tx.up.5.3}}</td>
                     </tr>
                     <tr>
-                      <td>{{abs_beams.0.get_tx.up.6.0}}</td> <td>{{abs_beams.0.get_tx.up.6.1}}</td> <td>{{abs_beams.0.get_tx.up.6.2}}</td> <td>{{abs_beams.0.get_tx.up.6.3}}</td>
+                      <td>{{beam.get_tx.up.6.0}}</td> <td>{{beam.get_tx.up.6.1}}</td> <td>{{beam.get_tx.up.6.2}}</td> <td>{{beam.get_tx.up.6.3}}</td>
                     </tr>
                     <tr>
-                      <td>{{abs_beams.0.get_tx.up.7.0}}</td> <td>{{abs_beams.0.get_tx.up.7.1}}</td> <td>{{abs_beams.0.get_tx.up.7.2}}</td> <td>{{abs_beams.0.get_tx.up.7.3}}</td>
+                      <td>{{beam.get_tx.up.7.0}}</td> <td>{{beam.get_tx.up.7.1}}</td> <td>{{beam.get_tx.up.7.2}}</td> <td>{{beam.get_tx.up.7.3}}</td>
                     </tr>
                   </table>
                 </td>
                 <td> South Quarter
                   <table align="center" class="south_quarter">
                     <tr>
-                      <td>{{abs_beams.0.get_tx.up.4.4}}</td> <td>{{abs_beams.0.get_tx.up.4.5}}</td> <td>{{abs_beams.0.get_tx.up.4.6}}</td> <td>{{abs_beams.0.get_tx.up.4.7}}</td>
+                      <td>{{beam.get_tx.up.4.4}}</td> <td>{{beam.get_tx.up.4.5}}</td> <td>{{beam.get_tx.up.4.6}}</td> <td>{{beam.get_tx.up.4.7}}</td>
                     </tr>
                     <tr>
-                      <td>{{abs_beams.0.get_tx.up.5.4}}</td> <td>{{abs_beams.0.get_tx.up.5.5}}</td> <td>{{abs_beams.0.get_tx.up.5.6}}</td> <td>{{abs_beams.0.get_tx.up.5.7}}</td>
+                      <td>{{beam.get_tx.up.5.4}}</td> <td>{{beam.get_tx.up.5.5}}</td> <td>{{beam.get_tx.up.5.6}}</td> <td>{{beam.get_tx.up.5.7}}</td>
                     </tr>
                     <tr>
-                      <td>{{abs_beams.0.get_tx.up.6.4}}</td> <td>{{abs_beams.0.get_tx.up.6.5}}</td> <td>{{abs_beams.0.get_tx.up.6.6}}</td> <td>{{abs_beams.0.get_tx.up.6.7}}</td>
+                      <td>{{beam.get_tx.up.6.4}}</td> <td>{{beam.get_tx.up.6.5}}</td> <td>{{beam.get_tx.up.6.6}}</td> <td>{{beam.get_tx.up.6.7}}</td>
                     </tr>
                     <tr>
-                      <td>{{abs_beams.0.get_tx.up.7.4}}</td> <td>{{abs_beams.0.get_tx.up.7.5}}</td> <td>{{abs_beams.0.get_tx.up.7.6}}</td> <td>{{abs_beams.0.get_tx.up.7.7}}</td>
+                      <td>{{beam.get_tx.up.7.4}}</td> <td>{{beam.get_tx.up.7.5}}</td> <td>{{beam.get_tx.up.7.6}}</td> <td>{{beam.get_tx.up.7.7}}</td>
                     </tr>
                   </table>
                 </td>
@@ -524,32 +304,32 @@ $(document).ready(function() {
                 <td> North Quarter
                   <table align="center" class="north_quarter">
                     <tr>
-                      <td>{{abs_beams.0.get_rx.up.0.0}}</td> <td>{{abs_beams.0.get_rx.up.0.1}}</td> <td>{{abs_beams.0.get_rx.up.0.2}}</td> <td>{{abs_beams.0.get_rx.up.0.3}}</td>
+                      <td>{{beam.get_rx.up.0.0}}</td> <td>{{beam.get_rx.up.0.1}}</td> <td>{{beam.get_rx.up.0.2}}</td> <td>{{beam.get_rx.up.0.3}}</td>
                     </tr>
                     <tr>
-                      <td>{{abs_beams.0.get_rx.up.1.0}}</td> <td>{{abs_beams.0.get_rx.up.1.1}}</td> <td>{{abs_beams.0.get_rx.up.1.2}}</td> <td>{{abs_beams.0.get_rx.up.1.3}}</td>
+                      <td>{{beam.get_rx.up.1.0}}</td> <td>{{beam.get_rx.up.1.1}}</td> <td>{{beam.get_rx.up.1.2}}</td> <td>{{beam.get_rx.up.1.3}}</td>
                     </tr>
                     <tr>
-                      <td>{{abs_beams.0.get_rx.up.2.0}}</td> <td>{{abs_beams.0.get_rx.up.2.1}}</td> <td>{{abs_beams.0.get_rx.up.2.2}}</td> <td>{{abs_beams.0.get_rx.up.2.3}}</td>
+                      <td>{{beam.get_rx.up.2.0}}</td> <td>{{beam.get_rx.up.2.1}}</td> <td>{{beam.get_rx.up.2.2}}</td> <td>{{beam.get_rx.up.2.3}}</td>
                     </tr>
                     <tr>
-                      <td>{{abs_beams.0.get_rx.up.3.0}}</td> <td>{{abs_beams.0.get_rx.up.3.1}}</td> <td>{{abs_beams.0.get_rx.up.3.2}}</td> <td>{{abs_beams.0.get_rx.up.3.3}}</td>
+                      <td>{{beam.get_rx.up.3.0}}</td> <td>{{beam.get_rx.up.3.1}}</td> <td>{{beam.get_rx.up.3.2}}</td> <td>{{beam.get_rx.up.3.3}}</td>
                     </tr>
                   </table>
                 </td>
                 <td> East Quarter
                   <table align="center" class="east_quarter">
                     <tr>
-                      <td>{{abs_beams.0.get_rx.up.0.4}}</td> <td>{{abs_beams.0.get_rx.up.0.5}}</td> <td>{{abs_beams.0.get_rx.up.0.6}}</td> <td>{{abs_beams.0.get_rx.up.0.7}}</td>
+                      <td>{{beam.get_rx.up.0.4}}</td> <td>{{beam.get_rx.up.0.5}}</td> <td>{{beam.get_rx.up.0.6}}</td> <td>{{beam.get_rx.up.0.7}}</td>
                     </tr>
                     <tr>
-                      <td>{{abs_beams.0.get_rx.up.1.4}}</td> <td>{{abs_beams.0.get_rx.up.1.5}}</td> <td>{{abs_beams.0.get_rx.up.1.6}}</td> <td>{{abs_beams.0.get_rx.up.1.7}}</td>
+                      <td>{{beam.get_rx.up.1.4}}</td> <td>{{beam.get_rx.up.1.5}}</td> <td>{{beam.get_rx.up.1.6}}</td> <td>{{beam.get_rx.up.1.7}}</td>
                     </tr>
                     <tr>
-                      <td>{{abs_beams.0.get_rx.up.2.4}}</td> <td>{{abs_beams.0.get_rx.up.2.5}}</td> <td>{{abs_beams.0.get_rx.up.2.6}}</td> <td>{{abs_beams.0.get_rx.up.2.7}}</td>
+                      <td>{{beam.get_rx.up.2.4}}</td> <td>{{beam.get_rx.up.2.5}}</td> <td>{{beam.get_rx.up.2.6}}</td> <td>{{beam.get_rx.up.2.7}}</td>
                     </tr>
                     <tr>
-                      <td>{{abs_beams.0.get_rx.up.3.4}}</td> <td>{{abs_beams.0.get_rx.up.3.5}}</td> <td>{{abs_beams.0.get_rx.up.3.6}}</td> <td>{{abs_beams.0.get_rx.up.3.7}}</td>
+                      <td>{{beam.get_rx.up.3.4}}</td> <td>{{beam.get_rx.up.3.5}}</td> <td>{{beam.get_rx.up.3.6}}</td> <td>{{beam.get_rx.up.3.7}}</td>
                     </tr>
                   </table>
                 </td>
@@ -558,32 +338,32 @@ $(document).ready(function() {
                 <td> West Quarter
                   <table align="center" class="west_quarter">
                     <tr>
-                      <td>{{abs_beams.0.get_rx.up.4.0}}</td> <td>{{abs_beams.0.get_rx.up.4.1}}</td> <td>{{abs_beams.0.get_rx.up.4.2}}</td> <td>{{abs_beams.0.get_rx.up.4.3}}</td>
+                      <td>{{beam.get_rx.up.4.0}}</td> <td>{{beam.get_rx.up.4.1}}</td> <td>{{beam.get_rx.up.4.2}}</td> <td>{{beam.get_rx.up.4.3}}</td>
                     </tr>
                     <tr>
-                      <td>{{abs_beams.0.get_rx.up.5.0}}</td> <td>{{abs_beams.0.get_rx.up.5.1}}</td> <td>{{abs_beams.0.get_rx.up.5.2}}</td> <td>{{abs_beams.0.get_rx.up.5.3}}</td>
+                      <td>{{beam.get_rx.up.5.0}}</td> <td>{{beam.get_rx.up.5.1}}</td> <td>{{beam.get_rx.up.5.2}}</td> <td>{{beam.get_rx.up.5.3}}</td>
                     </tr>
                     <tr>
-                      <td>{{abs_beams.0.get_rx.up.6.0}}</td> <td>{{abs_beams.0.get_rx.up.6.1}}</td> <td>{{abs_beams.0.get_rx.up.6.2}}</td> <td>{{abs_beams.0.get_rx.up.6.3}}</td>
+                      <td>{{beam.get_rx.up.6.0}}</td> <td>{{beam.get_rx.up.6.1}}</td> <td>{{beam.get_rx.up.6.2}}</td> <td>{{beam.get_rx.up.6.3}}</td>
                     </tr>
                     <tr>
-                      <td>{{abs_beams.0.get_rx.up.7.0}}</td> <td>{{abs_beams.0.get_rx.up.7.1}}</td> <td>{{abs_beams.0.get_rx.up.7.2}}</td> <td>{{abs_beams.0.get_rx.up.7.3}}</td>
+                      <td>{{beam.get_rx.up.7.0}}</td> <td>{{beam.get_rx.up.7.1}}</td> <td>{{beam.get_rx.up.7.2}}</td> <td>{{beam.get_rx.up.7.3}}</td>
                     </tr>
                   </table>
                 </td>
                 <td> South Quarter
                   <table align="center" class="south_quarter">
                     <tr>
-                      <td>{{abs_beams.0.get_rx.up.4.4}}</td> <td>{{abs_beams.0.get_rx.up.4.5}}</td> <td>{{abs_beams.0.get_rx.up.4.6}}</td> <td>{{abs_beams.0.get_rx.up.4.7}}</td>
+                      <td>{{beam.get_rx.up.4.4}}</td> <td>{{beam.get_rx.up.4.5}}</td> <td>{{beam.get_rx.up.4.6}}</td> <td>{{beam.get_rx.up.4.7}}</td>
                     </tr>
                     <tr>
-                      <td>{{abs_beams.0.get_rx.up.5.4}}</td> <td>{{abs_beams.0.get_rx.up.5.5}}</td> <td>{{abs_beams.0.get_rx.up.5.6}}</td> <td>{{abs_beams.0.get_rx.up.5.7}}</td>
+                      <td>{{beam.get_rx.up.5.4}}</td> <td>{{beam.get_rx.up.5.5}}</td> <td>{{beam.get_rx.up.5.6}}</td> <td>{{beam.get_rx.up.5.7}}</td>
                     </tr>
                     <tr>
-                      <td>{{abs_beams.0.get_rx.up.6.4}}</td> <td>{{abs_beams.0.get_rx.up.6.5}}</td> <td>{{abs_beams.0.get_rx.up.6.6}}</td> <td>{{abs_beams.0.get_rx.up.6.7}}</td>
+                      <td>{{beam.get_rx.up.6.4}}</td> <td>{{beam.get_rx.up.6.5}}</td> <td>{{beam.get_rx.up.6.6}}</td> <td>{{beam.get_rx.up.6.7}}</td>
                     </tr>
                     <tr>
-                      <td>{{abs_beams.0.get_rx.up.7.4}}</td> <td>{{abs_beams.0.get_rx.up.7.5}}</td> <td>{{abs_beams.0.get_rx.up.7.6}}</td> <td>{{abs_beams.0.get_rx.up.7.7}}</td>
+                      <td>{{beam.get_rx.up.7.4}}</td> <td>{{beam.get_rx.up.7.5}}</td> <td>{{beam.get_rx.up.7.6}}</td> <td>{{beam.get_rx.up.7.7}}</td>
                     </tr>
                   </table>
                 </td>
@@ -594,17 +374,17 @@ $(document).ready(function() {
       </table>
 
       {% if not edit %}
-        {% include "abs_pattern_img.html" %}
+        {% include "abs_uppattern_img.html" %}
       {% endif %}
 
       <br>
 
       <div id="up_ues" style="display: inline-block">
-        Ues: {{abs_beams.0.get_up_ues}}
+        Ues: {{beam.get_up_ues}}
       </div>
 
       <div style="margin-left: 70px; display: inline-block">
-        <input type="checkbox" id="up_onlyrx" {% if abs_beams.0.get_up_onlyrx == True %} checked="True" {% endif %} disabled>
+        <input type="checkbox" id="up_onlyrx" {% if beam.get_up_onlyrx == True %} checked="True" {% endif %} disabled>
           Only RX
         </input>
       </div>
@@ -624,68 +404,36 @@ $(document).ready(function() {
               <tr>
                 <td> <b>North Quarter</b>
                   <table class="north_quarter">
-                    <tr>
-                      <td>0.0</td> <td>0.0</td> <td>0.0</td> <td>0.0</td>
-                    </tr>
-                    <tr>
-                      <td>0.0</td> <td>0.0</td> <td>0.0</td> <td>0.0</td>
-                    </tr>
-                    <tr>
-                      <td>0.0</td> <td>0.0</td> <td>0.0</td> <td>0.0</td>
-                    </tr>
-                    <tr>
-                      <td>0.0</td> <td>0.0</td> <td>0.0</td> <td>0.0</td>
-                    </tr>
+                    <tr> <td>{{beam.get_downvalues.0}}</td> <td>{{beam.get_downvalues.1}}</td> <td>{{beam.get_downvalues.2}}</td> <td>{{beam.get_downvalues.3}}</td> </tr>
+                    <tr> <td>{{beam.get_downvalues.8}}</td> <td>{{beam.get_downvalues.9}}</td> <td>{{beam.get_downvalues.10}}</td> <td>{{beam.get_downvalues.11}}</td> </tr>
+                    <tr> <td>{{beam.get_downvalues.16}}</td> <td>{{beam.get_downvalues.17}}</td> <td>{{beam.get_downvalues.18}}</td> <td>{{beam.get_downvalues.19}}</td> </tr>
+                    <tr> <td>{{beam.get_downvalues.24}}</td> <td>{{beam.get_downvalues.25}}</td> <td>{{beam.get_downvalues.26}}</td> <td>{{beam.get_downvalues.27}}</td> </tr>
                   </table>
                 </td>
                 <td> <b>East Quarter</b>
                   <table class="east_quarter">
-                    <tr>
-                      <td>0.0</td> <td>0.0</td> <td>0.0</td> <td>0.0</td>
-                    </tr>
-                    <tr>
-                      <td>0.0</td> <td>0.0</td> <td>0.0</td> <td>0.0</td>
-                    </tr>
-                    <tr>
-                      <td>0.0</td> <td>0.0</td> <td>0.0</td> <td>0.0</td>
-                    </tr>
-                    <tr>
-                      <td>0.0</td> <td>0.0</td> <td>0.0</td> <td>0.0</td>
-                    </tr>
+                    <tr> <td>{{beam.get_downvalues.4}}</td> <td>{{beam.get_downvalues.5}}</td> <td>{{beam.get_downvalues.6}}</td> <td>{{beam.get_downvalues.7}}</td> </tr>
+                    <tr> <td>{{beam.get_downvalues.12}}</td> <td>{{beam.get_downvalues.13}}</td> <td>{{beam.get_downvalues.14}}</td> <td>{{beam.get_downvalues.15}}</td> </tr>
+                    <tr> <td>{{beam.get_downvalues.20}}</td> <td>{{beam.get_downvalues.21}}</td> <td>{{beam.get_downvalues.22}}</td> <td>{{beam.get_downvalues.23}}</td> </tr>
+                    <tr> <td>{{beam.get_downvalues.28}}</td> <td>{{beam.get_downvalues.29}}</td> <td>{{beam.get_downvalues.30}}</td> <td>{{beam.get_downvalues.31}}</td> </tr>
                   </table>
                 </td>
               </tr>
               <tr>
                 <td> <b>West Quarter</b>
                   <table class="west_quarter">
-                    <tr>
-                      <td>0.0</td> <td>0.0</td> <td>0.0</td> <td>0.0</td>
-                    </tr>
-                    <tr>
-                      <td>0.0</td> <td>0.0</td> <td>0.0</td> <td>0.0</td>
-                    </tr>
-                    <tr>
-                      <td>0.0</td> <td>0.0</td> <td>0.0</td> <td>0.0</td>
-                    </tr>
-                    <tr>
-                      <td>0.0</td> <td>0.0</td> <td>0.0</td> <td>0.0</td>
-                    </tr>
+                    <tr> <td>{{beam.get_downvalues.32}}</td> <td>{{beam.get_downvalues.33}}</td> <td>{{beam.get_downvalues.34}}</td> <td>{{beam.get_downvalues.35}}</td> </tr>
+                    <tr> <td>{{beam.get_downvalues.40}}</td> <td>{{beam.get_downvalues.41}}</td> <td>{{beam.get_downvalues.42}}</td> <td>{{beam.get_downvalues.43}}</td> </tr>
+                    <tr> <td>{{beam.get_downvalues.48}}</td> <td>{{beam.get_downvalues.49}}</td> <td>{{beam.get_downvalues.50}}</td> <td>{{beam.get_downvalues.51}}</td> </tr>
+                    <tr> <td>{{beam.get_downvalues.56}}</td> <td>{{beam.get_downvalues.57}}</td> <td>{{beam.get_downvalues.58}}</td> <td>{{beam.get_downvalues.59}}</td> </tr>
                   </table>
                 </td>
                 <td> <b>South Quarter</b>
                   <table class="south_quarter">
-                    <tr>
-                      <td>0.0</td> <td>0.0</td> <td>0.0</td> <td>0.0</td>
-                    </tr>
-                    <tr>
-                      <td>0.0</td> <td>0.0</td> <td>0.0</td> <td>0.0</td>
-                    </tr>
-                    <tr>
-                      <td>0.0</td> <td>0.0</td> <td>0.0</td> <td>0.0</td>
-                    </tr>
-                    <tr>
-                      <td>0.0</td> <td>0.0</td> <td>0.0</td> <td>0.0</td>
-                    </tr>
+                    <tr> <td>{{beam.get_downvalues.36}}</td> <td>{{beam.get_downvalues.37}}</td> <td>{{beam.get_downvalues.38}}</td> <td>{{beam.get_downvalues.39}}</td> </tr>
+                    <tr> <td>{{beam.get_downvalues.44}}</td> <td>{{beam.get_downvalues.45}}</td> <td>{{beam.get_downvalues.46}}</td> <td>{{beam.get_downvalues.47}}</td> </tr>
+                    <tr> <td>{{beam.get_downvalues.52}}</td> <td>{{beam.get_downvalues.53}}</td> <td>{{beam.get_downvalues.54}}</td> <td>{{beam.get_downvalues.55}}</td> </tr>
+                    <tr> <td>{{beam.get_downvalues.60}}</td> <td>{{beam.get_downvalues.61}}</td> <td>{{beam.get_downvalues.62}}</td> <td>{{beam.get_downvalues.63}}</td> </tr>
                   </table>
                 </td>
               </tr>
@@ -702,32 +450,32 @@ $(document).ready(function() {
                 <td> <b>North Quarter</b>
                   <table align="center" class="north_quarter">
                     <tr>
-                      <td>{{abs_beams.0.get_tx.down.0.0}}</td> <td>{{abs_beams.0.get_tx.down.0.1}}</td> <td>{{abs_beams.0.get_tx.down.0.2}}</td> <td>{{abs_beams.0.get_tx.down.0.3}}</td>
+                      <td>{{beam.get_tx.down.0.0}}</td> <td>{{beam.get_tx.down.0.1}}</td> <td>{{beam.get_tx.down.0.2}}</td> <td>{{beam.get_tx.down.0.3}}</td>
                     </tr>
                     <tr>
-                      <td>{{abs_beams.0.get_tx.down.1.0}}</td> <td>{{abs_beams.0.get_tx.down.1.1}}</td> <td>{{abs_beams.0.get_tx.down.1.2}}</td> <td>{{abs_beams.0.get_tx.down.1.3}}</td>
+                      <td>{{beam.get_tx.down.1.0}}</td> <td>{{beam.get_tx.down.1.1}}</td> <td>{{beam.get_tx.down.1.2}}</td> <td>{{beam.get_tx.down.1.3}}</td>
                     </tr>
                     <tr>
-                      <td>{{abs_beams.0.get_tx.down.2.0}}</td> <td>{{abs_beams.0.get_tx.down.2.1}}</td> <td>{{abs_beams.0.get_tx.down.2.2}}</td> <td>{{abs_beams.0.get_tx.down.2.3}}</td>
+                      <td>{{beam.get_tx.down.2.0}}</td> <td>{{beam.get_tx.down.2.1}}</td> <td>{{beam.get_tx.down.2.2}}</td> <td>{{beam.get_tx.down.2.3}}</td>
                     </tr>
                     <tr>
-                      <td>{{abs_beams.0.get_tx.down.3.0}}</td> <td>{{abs_beams.0.get_tx.down.3.1}}</td> <td>{{abs_beams.0.get_tx.down.3.2}}</td> <td>{{abs_beams.0.get_tx.down.3.3}}</td>
+                      <td>{{beam.get_tx.down.3.0}}</td> <td>{{beam.get_tx.down.3.1}}</td> <td>{{beam.get_tx.down.3.2}}</td> <td>{{beam.get_tx.down.3.3}}</td>
                     </tr>
                   </table>
                 </td>
                 <td> <b>East Quarter</b>
                   <table align="center" class="east_quarter">
                     <tr>
-                      <td>{{abs_beams.0.get_tx.down.0.4}}</td> <td>{{abs_beams.0.get_tx.down.0.5}}</td> <td>{{abs_beams.0.get_tx.down.0.6}}</td> <td>{{abs_beams.0.get_tx.down.0.7}}</td>
+                      <td>{{beam.get_tx.down.0.4}}</td> <td>{{beam.get_tx.down.0.5}}</td> <td>{{beam.get_tx.down.0.6}}</td> <td>{{beam.get_tx.down.0.7}}</td>
                     </tr>
                     <tr>
-                      <td>{{abs_beams.0.get_tx.down.1.4}}</td> <td>{{abs_beams.0.get_tx.down.1.5}}</td> <td>{{abs_beams.0.get_tx.down.1.6}}</td> <td>{{abs_beams.0.get_tx.down.1.7}}</td>
+                      <td>{{beam.get_tx.down.1.4}}</td> <td>{{beam.get_tx.down.1.5}}</td> <td>{{beam.get_tx.down.1.6}}</td> <td>{{beam.get_tx.down.1.7}}</td>
                     </tr>
                     <tr>
-                      <td>{{abs_beams.0.get_tx.down.2.4}}</td> <td>{{abs_beams.0.get_tx.down.2.5}}</td> <td>{{abs_beams.0.get_tx.down.2.6}}</td> <td>{{abs_beams.0.get_tx.down.2.7}}</td>
+                      <td>{{beam.get_tx.down.2.4}}</td> <td>{{beam.get_tx.down.2.5}}</td> <td>{{beam.get_tx.down.2.6}}</td> <td>{{beam.get_tx.down.2.7}}</td>
                     </tr>
                     <tr>
-                      <td>{{abs_beams.0.get_tx.down.3.4}}</td> <td>{{abs_beams.0.get_tx.down.3.5}}</td> <td>{{abs_beams.0.get_tx.down.3.6}}</td> <td>{{abs_beams.0.get_tx.down.3.7}}</td>
+                      <td>{{beam.get_tx.down.3.4}}</td> <td>{{beam.get_tx.down.3.5}}</td> <td>{{beam.get_tx.down.3.6}}</td> <td>{{beam.get_tx.down.3.7}}</td>
                     </tr>
                   </table>
                 </td>
@@ -736,32 +484,32 @@ $(document).ready(function() {
                 <td> <b>West Quarter</b>
                   <table align="center" class="west_quarter">
                     <tr>
-                      <td>{{abs_beams.0.get_tx.down.4.0}}</td> <td>{{abs_beams.0.get_tx.down.4.1}}</td> <td>{{abs_beams.0.get_tx.down.4.2}}</td> <td>{{abs_beams.0.get_tx.down.4.3}}</td>
+                      <td>{{beam.get_tx.down.4.0}}</td> <td>{{beam.get_tx.down.4.1}}</td> <td>{{beam.get_tx.down.4.2}}</td> <td>{{beam.get_tx.down.4.3}}</td>
                     </tr>
                     <tr>
-                      <td>{{abs_beams.0.get_tx.down.5.0}}</td> <td>{{abs_beams.0.get_tx.down.5.1}}</td> <td>{{abs_beams.0.get_tx.down.5.2}}</td> <td>{{abs_beams.0.get_tx.down.5.3}}</td>
+                      <td>{{beam.get_tx.down.5.0}}</td> <td>{{beam.get_tx.down.5.1}}</td> <td>{{beam.get_tx.down.5.2}}</td> <td>{{beam.get_tx.down.5.3}}</td>
                     </tr>
                     <tr>
-                      <td>{{abs_beams.0.get_tx.down.6.0}}</td> <td>{{abs_beams.0.get_tx.down.6.1}}</td> <td>{{abs_beams.0.get_tx.down.6.2}}</td> <td>{{abs_beams.0.get_tx.down.6.3}}</td>
+                      <td>{{beam.get_tx.down.6.0}}</td> <td>{{beam.get_tx.down.6.1}}</td> <td>{{beam.get_tx.down.6.2}}</td> <td>{{beam.get_tx.down.6.3}}</td>
                     </tr>
                     <tr>
-                      <td>{{abs_beams.0.get_tx.down.7.0}}</td> <td>{{abs_beams.0.get_tx.down.7.1}}</td> <td>{{abs_beams.0.get_tx.down.7.2}}</td> <td>{{abs_beams.0.get_tx.down.7.3}}</td>
+                      <td>{{beam.get_tx.down.7.0}}</td> <td>{{beam.get_tx.down.7.1}}</td> <td>{{beam.get_tx.down.7.2}}</td> <td>{{beam.get_tx.down.7.3}}</td>
                     </tr>
                   </table>
                 </td>
                 <td> <b>South Quarter</b>
                   <table align="center" class="south_quarter">
                     <tr>
-                      <td>{{abs_beams.0.get_tx.down.4.4}}</td> <td>{{abs_beams.0.get_tx.down.4.5}}</td> <td>{{abs_beams.0.get_tx.down.4.6}}</td> <td>{{abs_beams.0.get_tx.down.4.7}}</td>
+                      <td>{{beam.get_tx.down.4.4}}</td> <td>{{beam.get_tx.down.4.5}}</td> <td>{{beam.get_tx.down.4.6}}</td> <td>{{beam.get_tx.down.4.7}}</td>
                     </tr>
                     <tr>
-                      <td>{{abs_beams.0.get_tx.down.5.4}}</td> <td>{{abs_beams.0.get_tx.down.5.5}}</td> <td>{{abs_beams.0.get_tx.down.5.6}}</td> <td>{{abs_beams.0.get_tx.down.5.7}}</td>
+                      <td>{{beam.get_tx.down.5.4}}</td> <td>{{beam.get_tx.down.5.5}}</td> <td>{{beam.get_tx.down.5.6}}</td> <td>{{beam.get_tx.down.5.7}}</td>
                     </tr>
                     <tr>
-                      <td>{{abs_beams.0.get_tx.down.6.4}}</td> <td>{{abs_beams.0.get_tx.down.6.5}}</td> <td>{{abs_beams.0.get_tx.down.6.6}}</td> <td>{{abs_beams.0.get_tx.down.6.7}}</td>
+                      <td>{{beam.get_tx.down.6.4}}</td> <td>{{beam.get_tx.down.6.5}}</td> <td>{{beam.get_tx.down.6.6}}</td> <td>{{beam.get_tx.down.6.7}}</td>
                     </tr>
                     <tr>
-                      <td>{{abs_beams.0.get_tx.down.7.4}}</td> <td>{{abs_beams.0.get_tx.down.7.5}}</td> <td>{{abs_beams.0.get_tx.down.7.6}}</td> <td>{{abs_beams.0.get_tx.down.7.7}}</td>
+                      <td>{{beam.get_tx.down.7.4}}</td> <td>{{beam.get_tx.down.7.5}}</td> <td>{{beam.get_tx.down.7.6}}</td> <td>{{beam.get_tx.down.7.7}}</td>
                     </tr>
                   </table>
                 </td>
@@ -780,32 +528,32 @@ $(document).ready(function() {
                 <td> <b>North Quarter</b>
                   <table align="center" class="north_quarter">
                     <tr>
-                      <td>{{abs_beams.0.get_rx.down.0.0}}</td> <td>{{abs_beams.0.get_rx.down.0.1}}</td> <td>{{abs_beams.0.get_rx.down.0.2}}</td> <td>{{abs_beams.0.get_rx.down.0.3}}</td>
+                      <td>{{beam.get_rx.down.0.0}}</td> <td>{{beam.get_rx.down.0.1}}</td> <td>{{beam.get_rx.down.0.2}}</td> <td>{{beam.get_rx.down.0.3}}</td>
                     </tr>
                     <tr>
-                      <td>{{abs_beams.0.get_rx.down.1.0}}</td> <td>{{abs_beams.0.get_rx.down.1.1}}</td> <td>{{abs_beams.0.get_rx.down.1.2}}</td> <td>{{abs_beams.0.get_rx.down.1.3}}</td>
+                      <td>{{beam.get_rx.down.1.0}}</td> <td>{{beam.get_rx.down.1.1}}</td> <td>{{beam.get_rx.down.1.2}}</td> <td>{{beam.get_rx.down.1.3}}</td>
                     </tr>
                     <tr>
-                      <td>{{abs_beams.0.get_rx.down.2.0}}</td> <td>{{abs_beams.0.get_rx.down.2.1}}</td> <td>{{abs_beams.0.get_rx.down.2.2}}</td> <td>{{abs_beams.0.get_rx.down.2.3}}</td>
+                      <td>{{beam.get_rx.down.2.0}}</td> <td>{{beam.get_rx.down.2.1}}</td> <td>{{beam.get_rx.down.2.2}}</td> <td>{{beam.get_rx.down.2.3}}</td>
                     </tr>
                     <tr>
-                      <td>{{abs_beams.0.get_rx.down.3.0}}</td> <td>{{abs_beams.0.get_rx.down.3.1}}</td> <td>{{abs_beams.0.get_rx.down.3.2}}</td> <td>{{abs_beams.0.get_rx.down.3.3}}</td>
+                      <td>{{beam.get_rx.down.3.0}}</td> <td>{{beam.get_rx.down.3.1}}</td> <td>{{beam.get_rx.down.3.2}}</td> <td>{{beam.get_rx.down.3.3}}</td>
                     </tr>
                   </table>
                 </td>
                 <td> <b>East Quarter</b>
                   <table align="center" class="east_quarter">
                     <tr>
-                      <td>{{abs_beams.0.get_rx.down.0.4}}</td> <td>{{abs_beams.0.get_rx.down.0.5}}</td> <td>{{abs_beams.0.get_rx.down.0.6}}</td> <td>{{abs_beams.0.get_rx.down.0.7}}</td>
+                      <td>{{beam.get_rx.down.0.4}}</td> <td>{{beam.get_rx.down.0.5}}</td> <td>{{beam.get_rx.down.0.6}}</td> <td>{{beam.get_rx.down.0.7}}</td>
                     </tr>
                     <tr>
-                      <td>{{abs_beams.0.get_rx.down.1.4}}</td> <td>{{abs_beams.0.get_rx.down.1.5}}</td> <td>{{abs_beams.0.get_rx.down.1.6}}</td> <td>{{abs_beams.0.get_rx.down.1.7}}</td>
+                      <td>{{beam.get_rx.down.1.4}}</td> <td>{{beam.get_rx.down.1.5}}</td> <td>{{beam.get_rx.down.1.6}}</td> <td>{{beam.get_rx.down.1.7}}</td>
                     </tr>
                     <tr>
-                      <td>{{abs_beams.0.get_rx.down.2.4}}</td> <td>{{abs_beams.0.get_rx.down.2.5}}</td> <td>{{abs_beams.0.get_rx.down.2.6}}</td> <td>{{abs_beams.0.get_rx.down.2.7}}</td>
+                      <td>{{beam.get_rx.down.2.4}}</td> <td>{{beam.get_rx.down.2.5}}</td> <td>{{beam.get_rx.down.2.6}}</td> <td>{{beam.get_rx.down.2.7}}</td>
                     </tr>
                     <tr>
-                      <td>{{abs_beams.0.get_rx.down.3.4}}</td> <td>{{abs_beams.0.get_rx.down.3.5}}</td> <td>{{abs_beams.0.get_rx.down.3.6}}</td> <td>{{abs_beams.0.get_rx.down.3.7}}</td>
+                      <td>{{beam.get_rx.down.3.4}}</td> <td>{{beam.get_rx.down.3.5}}</td> <td>{{beam.get_rx.down.3.6}}</td> <td>{{beam.get_rx.down.3.7}}</td>
                     </tr>
                   </table>
                 </td>
@@ -814,32 +562,32 @@ $(document).ready(function() {
                 <td> <b>West Quarter</b>
                   <table align="center" class="west_quarter">
                     <tr>
-                      <td>{{abs_beams.0.get_rx.down.4.0}}</td> <td>{{abs_beams.0.get_rx.down.4.1}}</td> <td>{{abs_beams.0.get_rx.down.4.2}}</td> <td>{{abs_beams.0.get_rx.down.4.3}}</td>
+                      <td>{{beam.get_rx.down.4.0}}</td> <td>{{beam.get_rx.down.4.1}}</td> <td>{{beam.get_rx.down.4.2}}</td> <td>{{beam.get_rx.down.4.3}}</td>
                     </tr>
                     <tr>
-                      <td>{{abs_beams.0.get_rx.down.5.0}}</td> <td>{{abs_beams.0.get_rx.down.5.1}}</td> <td>{{abs_beams.0.get_rx.down.5.2}}</td> <td>{{abs_beams.0.get_rx.down.5.3}}</td>
+                      <td>{{beam.get_rx.down.5.0}}</td> <td>{{beam.get_rx.down.5.1}}</td> <td>{{beam.get_rx.down.5.2}}</td> <td>{{beam.get_rx.down.5.3}}</td>
                     </tr>
                     <tr>
-                      <td>{{abs_beams.0.get_rx.down.6.0}}</td> <td>{{abs_beams.0.get_rx.down.6.1}}</td> <td>{{abs_beams.0.get_rx.down.6.2}}</td> <td>{{abs_beams.0.get_rx.down.6.3}}</td>
+                      <td>{{beam.get_rx.down.6.0}}</td> <td>{{beam.get_rx.down.6.1}}</td> <td>{{beam.get_rx.down.6.2}}</td> <td>{{beam.get_rx.down.6.3}}</td>
                     </tr>
                     <tr>
-                      <td>{{abs_beams.0.get_rx.down.7.0}}</td> <td>{{abs_beams.0.get_rx.down.7.1}}</td> <td>{{abs_beams.0.get_rx.down.7.2}}</td> <td>{{abs_beams.0.get_rx.down.7.3}}</td>
+                      <td>{{beam.get_rx.down.7.0}}</td> <td>{{beam.get_rx.down.7.1}}</td> <td>{{beam.get_rx.down.7.2}}</td> <td>{{beam.get_rx.down.7.3}}</td>
                     </tr>
                   </table>
                 </td>
                 <td> <b>South Quarter</b>
                   <table class="south_quarter">
                     <tr>
-                      <td>{{abs_beams.0.get_rx.down.4.4}}</td> <td>{{abs_beams.0.get_rx.down.4.5}}</td> <td>{{abs_beams.0.get_rx.down.4.6}}</td> <td>{{abs_beams.0.get_rx.down.4.7}}</td>
+                      <td>{{beam.get_rx.down.4.4}}</td> <td>{{beam.get_rx.down.4.5}}</td> <td>{{beam.get_rx.down.4.6}}</td> <td>{{beam.get_rx.down.4.7}}</td>
                     </tr>
                     <tr>
-                      <td>{{abs_beams.0.get_rx.down.5.4}}</td> <td>{{abs_beams.0.get_rx.down.5.5}}</td> <td>{{abs_beams.0.get_rx.down.5.6}}</td> <td>{{abs_beams.0.get_rx.down.5.7}}</td>
+                      <td>{{beam.get_rx.down.5.4}}</td> <td>{{beam.get_rx.down.5.5}}</td> <td>{{beam.get_rx.down.5.6}}</td> <td>{{beam.get_rx.down.5.7}}</td>
                     </tr>
                     <tr>
-                      <td>{{abs_beams.0.get_rx.down.6.4}}</td> <td>{{abs_beams.0.get_rx.down.6.5}}</td> <td>{{abs_beams.0.get_rx.down.6.6}}</td> <td>{{abs_beams.0.get_rx.down.6.7}}</td>
+                      <td>{{beam.get_rx.down.6.4}}</td> <td>{{beam.get_rx.down.6.5}}</td> <td>{{beam.get_rx.down.6.6}}</td> <td>{{beam.get_rx.down.6.7}}</td>
                     </tr>
                     <tr>
-                      <td>{{abs_beams.0.get_rx.down.7.4}}</td> <td>{{abs_beams.0.get_rx.down.7.5}}</td> <td>{{abs_beams.0.get_rx.down.7.6}}</td> <td>{{abs_beams.0.get_rx.down.7.7}}</td>
+                      <td>{{beam.get_rx.down.7.4}}</td> <td>{{beam.get_rx.down.7.5}}</td> <td>{{beam.get_rx.down.7.6}}</td> <td>{{beam.get_rx.down.7.7}}</td>
                     </tr>
                   </table>
                 </td>
@@ -850,17 +598,17 @@ $(document).ready(function() {
       </table>
 
       {% if not edit %}
-        {% include "abs_pattern_img.html" %}
+        {% include "abs_downpattern_img.html" %}
       {% endif %}
 
       <br>
 
       <div id="down_ues" style="display: inline-block">
-        Ues: {{abs_beams.0.get_down_ues}}
+        Ues: {{beam.get_down_ues}}
       </div>
 
       <div style="margin-left: 70px; display: inline-block">
-        <input type="checkbox" id="up_onlyrx" {% if abs_beams.0.get_down_onlyrx == True %} checked="True" {% endif %} disabled>
+        <input type="checkbox" id="up_onlyrx" {% if beam.get_down_onlyrx == True %} checked="True" {% endif %} disabled>
           Only RX
         </input>
       </div>
diff --git a/apps/abs/templates/abs_patterns.html b/apps/abs/templates/abs_patterns.html
index d7ed960..95d19bc 100644
--- a/apps/abs/templates/abs_patterns.html
+++ b/apps/abs/templates/abs_patterns.html
@@ -8,27 +8,28 @@
 
 </style>
 
+
+
 {% if abs_beams %}
   <div>
     <h4>Beams:</h4>
 
     <div class="container">
-      <ul class="nav nav-pills">
-
-      {% for beam in abs_beams %}
-      <li {% if forloop.counter == 1 %} class="active" {% endif %}>
-        <a  data-toggle="pill" id="button-{{ forloop.counter }}" href="#">{{ forloop.counter }}</a>
-      </li>
-      {% endfor %}
-
-      </ul>
+      <div class="btn-group">
+        {% for abs_beam in abs_beams %}
+          <button id="bt_beam{{ forloop.counter }}" type="button"  class="btn btn-default">{{ forloop.counter }}</button>
+        {% endfor %}
+      </div>
     </div>
 
-  </div>
 
+  </div>
   <br>
-  {% include "abs_pattern.html" %}
-  <br>
+
+  {% if beam %}
+    {% include "abs_pattern.html" %}
+  {% endif %}
+
 
 {% else %}
   <div>
@@ -37,11 +38,17 @@
   </div>
 {% endif %}
 
-{% endblock %}
 
 <script>
-function ChangeColor() {
-    document.getElementById("button_1").style.backgroundColor = "#2c3e50";
-    document.getElementById("button_1").style.color = "#ecf0f1";
-}
+{% for abs_beam in abs_beams %}
+  $("#bt_beam{{ forloop.counter }}").click(function() {
+    document.location = "{% url 'url_plot_abs_pattern' abs_beam.abs_conf.id abs_beam.id %}";
+  });
+{% endfor %}
+//function ChangeColor() {
+//    document.getElementById("button_1").style.backgroundColor = "#2c3e50";
+//    document.getElementById("button_1").style.color = "#ecf0f1";
+//}
 </script>
+
+{% endblock %}
diff --git a/apps/abs/templates/abs_uppattern_img.html b/apps/abs/templates/abs_uppattern_img.html
new file mode 100644
index 0000000..bb619ee
--- /dev/null
+++ b/apps/abs/templates/abs_uppattern_img.html
@@ -0,0 +1,25 @@
+{% load static %}
+{% load bootstrap3 %}
+{% load main_tags %}
+
+{% block content %}
+<style>
+</style>
+
+<div id="PictureOverJROUp" style="float: right">
+  <img id="imgMain" src="{% url 'url_plot_up_beam' beam.abs_conf.id beam.id %}" alt="Error in Parameters" style="width:360px;height:270px;">
+  <img id="imgLoader" src="{% static 'images/loading_loading.gif' %}" alt="Error in Parameters" width="50" height="50">
+
+</div>
+
+<script>
+
+$('#imgMain').hide();
+	$('#imgLoader').show();
+	    $('#imgMain').load(function(){
+	      $('#imgLoader').hide();
+        $('#imgMain').show();
+});
+
+</script>
+{% endblock %}
diff --git a/apps/abs/utils/Astro_Coords.py b/apps/abs/utils/Astro_Coords.py
new file mode 100644
index 0000000..73ca019
--- /dev/null
+++ b/apps/abs/utils/Astro_Coords.py
@@ -0,0 +1,1419 @@
+""" 
+The module  ASTRO_COORDS.py  gathers classes and functions for coordinates transformation. Additiona-
+lly a class EquatorialCorrections and celestial bodies are defined. The first of these is to correct 
+any error  in the location  of the body and the second to know the location of certain celestial bo-
+dies in the sky.
+
+MODULES CALLED:
+OS, NUMPY, NUMERIC, SCIPY, TIME_CONVERSIONS
+        
+MODIFICATION HISTORY:
+Created by Ing. Freddy Galindo (frederickgalindo@gmail.com). ROJ Sep 20, 2009.
+"""
+
+import numpy
+#import Numeric
+import scipy.interpolate
+import os
+import sys
+import TimeTools
+import Misc_Routines
+
+class EquatorialCorrections():
+    def __init__(self):
+        """
+        EquatorialCorrections class creates an  object to call methods to correct the  loca-
+        tion of the celestial bodies.
+        
+        Modification History
+        --------------------
+        Converted to Object-oriented Programming by Freddy Galindo, ROJ, 27 September 2009.
+        """
+        
+        pass
+    
+    def co_nutate(self,jd,ra,dec):
+        """
+        co_nutate calculates changes in RA and Dec due to  nutation of the Earth's rotation
+        Additionally it returns the obliquity of the ecliptic (eps), nutation in the longi-
+        tude of the ecliptic (d_psi) and nutation in the pbliquity of the ecliptic (d_eps).
+
+        Parameters
+        ----------
+        jd = Julian Date (Scalar or array).
+        RA = A scalar o array giving the Right Ascention of interest.
+        Dec = A scalar o array giving the Right Ascention of interest.
+
+        Return
+        ------
+        d_ra =  Correction to ra due to nutation.
+        d_dec = Correction to dec due to nutation.
+
+        Examples
+        --------
+        >> Julian = 2462088.7 
+        >> Ra = 41.547213
+        >> Dec = 49.348483
+        >> [d_ra,d_dec,eps,d_psi,d_eps] = co_nutate(julian,Ra,Dec)
+        >> print d_ra, d_dec, eps, d_psi, d_eps
+        [ 15.84276651] [ 6.21641029] [ 0.4090404] [ 14.85990198] [ 2.70408658]
+
+        Modification history
+        --------------------
+        Written by Chris O'Dell, 2002.
+        Converted to Python by Freddy R. Galindo, ROJ, 26 September 2009.
+        """
+        
+        jd = numpy.atleast_1d(jd)
+        ra = numpy.atleast_1d(ra)
+        dec = numpy.atleast_1d(dec)
+        
+        # Useful transformation constants
+        d2as = numpy.pi/(180.*3600.)
+        
+        # Julian centuries from J2000 of jd
+        T = (jd - 2451545.0)/36525.0
+
+        # Must calculate obliquity of ecliptic
+        [d_psi, d_eps] = self.nutate(jd)
+        d_psi = numpy.atleast_1d(d_psi)
+        d_eps = numpy.atleast_1d(d_eps)
+        
+        eps0 = (23.4392911*3600.) - (46.8150*T) - (0.00059*T**2) + (0.001813*T**3)
+        # True obliquity of the ecliptic in radians
+        eps = (eps0 + d_eps)/3600.*Misc_Routines.CoFactors.d2r
+        
+        # Useful numbers
+        ce = numpy.cos(eps)
+        se = numpy.sin(eps)
+
+        # Convert Ra-Dec to equatorial rectangular coordinates
+        x = numpy.cos(ra*Misc_Routines.CoFactors.d2r)*numpy.cos(dec*Misc_Routines.CoFactors.d2r)
+        y = numpy.sin(ra*Misc_Routines.CoFactors.d2r)*numpy.cos(dec*Misc_Routines.CoFactors.d2r)
+        z = numpy.sin(dec*Misc_Routines.CoFactors.d2r)
+        
+        # Apply corrections to each rectangular coordinate
+        x2 = x - (y*ce + z*se)*d_psi*Misc_Routines.CoFactors.s2r
+        y2 = y + (x*ce*d_psi - z*d_eps)*Misc_Routines.CoFactors.s2r
+        z2 = z + (x*se*d_psi + y*d_eps)*Misc_Routines.CoFactors.s2r
+        
+        # Convert bask to equatorial spherical coordinates
+        r = numpy.sqrt(x2**2. + y2**2. + z2**2.)
+        xyproj =numpy.sqrt(x2**2. + y2**2.)
+        
+        ra2 = x2*0.0
+        dec2 = x2*0.0
+        
+        xyproj = numpy.atleast_1d(xyproj)
+        z = numpy.atleast_1d(z)
+        r = numpy.atleast_1d(r)
+        x2 = numpy.atleast_1d(x2)
+        y2 = numpy.atleast_1d(y2)
+        z2 = numpy.atleast_1d(z2)
+        ra2 = numpy.atleast_1d(ra2)
+        dec2 = numpy.atleast_1d(dec2)
+        
+        w1 = numpy.where((xyproj==0) & (z!=0))
+        w2 = numpy.where(xyproj!=0)
+        
+        # Calculate Ra and Dec in radians (later convert to degrees)
+        if w1[0].size>0:
+            # Places where xyproj=0 (point at NCP or SCP)
+            dec2[w1] = numpy.arcsin(z2[w1]/r[w1])
+            ra2[w1] = 0
+        
+        if w2[0].size>0:
+            # Places other than NCP or SCP
+            ra2[w2] = numpy.arctan2(y2[w2],x2[w2])
+            dec2[w2] = numpy.arcsin(z2[w2]/r[w2])
+
+        # Converting to degree
+        ra2 = ra2/Misc_Routines.CoFactors.d2r
+        dec2 = dec2/Misc_Routines.CoFactors.d2r
+        
+        w = numpy.where(ra2<0.)
+        if w[0].size>0:
+            ra2[w] = ra2[w] + 360.
+        
+        # Return changes in Ra and Dec in arcseconds
+        d_ra = (ra2 -ra)*3600.
+        d_dec = (dec2 - dec)*3600.
+        
+        return d_ra, d_dec, eps, d_psi, d_eps
+        
+    def nutate(self,jd):
+        """
+        nutate returns the nutation in longitude and obliquity for a given Julian date.
+        
+        Parameters
+        ----------
+        jd = Julian ephemeris date, scalar or vector.
+        
+        Return
+        ------ 
+        nut_long = The nutation in longitude.
+        nut_obliq = The nutation in latitude.
+        
+        Example
+        -------
+        >> julian = 2446895.5
+        >> [nut_long,nut_obliq] = nutate(julian)
+        >> print nut_long, nut_obliq
+        -3.78793107711 9.44252069864
+        
+        >> julians = 2415020.5 + numpy.arange(50)
+        >> [nut_long,nut_obliq] = nutate(julians)
+        
+        Modification History
+        --------------------
+        Written by W.Landsman (Goddard/HSTX), June 1996.
+        Converted to Python by Freddy R. Galindo, ROJ, 26 September 2009.
+        """
+
+        jd = numpy.atleast_1d(jd)
+        
+        # Form time in Julian centuries from 1900
+        t = (jd - 2451545.0)/36525.0
+        
+        # Mean elongation of the moon
+        coeff1 = numpy.array([1/189474.0,-0.0019142,445267.111480,297.85036])
+        d = numpy.poly1d(coeff1)
+        d = d(t)*Misc_Routines.CoFactors.d2r
+        d = self.cirrange(d,rad=1)
+        
+        # Sun's mean elongation
+        coeff2 = numpy.array([-1./3e5,-0.0001603,35999.050340,357.52772])
+        m = numpy.poly1d(coeff2)
+        m = m(t)*Misc_Routines.CoFactors.d2r
+        m = self.cirrange(m,rad=1)
+        
+        # Moon's mean elongation
+        coeff3 = numpy.array([1.0/5.625e4,0.0086972,477198.867398,134.96298])
+        mprime = numpy.poly1d(coeff3)
+        mprime = mprime(t)*Misc_Routines.CoFactors.d2r
+        mprime = self.cirrange(mprime,rad=1)
+        
+        # Moon's argument of latitude
+        coeff4 = numpy.array([-1.0/3.27270e5,-0.0036825,483202.017538,93.27191])
+        f = numpy.poly1d(coeff4)
+        f = f(t)*Misc_Routines.CoFactors.d2r
+        f = self.cirrange(f,rad=1)
+        
+        # Longitude fo the ascending node of the Moon's  mean orbit on the ecliptic, measu-
+        # red from the mean equinox of the date.
+        coeff5 = numpy.array([1.0/4.5e5,0.0020708,-1934.136261,125.04452])
+        omega = numpy.poly1d(coeff5)
+        omega = omega(t)*Misc_Routines.CoFactors.d2r
+        omega = self.cirrange(omega,rad=1)
+
+        d_lng = numpy.array([0,-2,0,0,0,0,-2,0,0,-2,-2,-2,0,2,0,2,0,0,-2,0,2,0,0,-2,0,-2,0,0,\
+            2,-2,0,-2,0,0,2,2,0,-2,0,2,2,-2,-2,2,2,0,-2,-2,0,-2,-2,0,-1,-2,1,0,0,-1,0,\
+            0,2,0,2])
+
+        m_lng = numpy.array([0,0,0,0,1,0,1,0,0,-1])
+        m_lng = numpy.append(m_lng,numpy.zeros(17))
+        m_lng = numpy.append(m_lng,numpy.array([2,0,2,1,0,-1,0,0,0,1,1,-1,0,0,0,0,0,0,-1,-1,0,0,\
+            0,1,0,0,1,0,0,0,-1,1,-1,-1,0,-1]))
+
+        mp_lng = numpy.array([0,0,0,0,0,1,0,0,1,0,1,0,-1,0,1,-1,-1,1,2,-2,0,2,2,1,0,0, -1, 0,\
+            -1,0,0,1,0,2,-1,1,0,1,0,0,1,2,1,-2,0,1,0,0,2,2,0,1,1,0,0,1,-2,1,1,1,-1,3,0])
+
+        f_lng = numpy.array([0,2,2,0,0,0,2,2,2,2,0,2,2,0,0,2,0,2,0,2,2,2,0,2,2,2,2,0,0,2,0,0,\
+            0,-2,2,2,2,0,2,2,0,2,2,0,0,0,2,0,2,0,2,-2,0,0,0,2,2,0,0,2,2,2,2])
+
+        om_lng = numpy.array([1,2,2,2,0,0,2,1,2,2,0,1,2,0,1,2,1,1,0,1,2,2,0,2,0,0,1,0,1,2,1, \
+            1,1,0,1,2,2,0,2,1,0,2,1,1,1,0,1,1,1,1,1,0,0,0,0,0,2,0,0,2,2,2,2])
+
+        sin_lng = numpy.array([-171996,-13187,-2274,2062,1426,712,-517,-386,-301, 217, -158, \
+               129,123,63,63,-59,-58,-51,48,46,-38,-31,29,29,26,-22,21,17,16,-16,-15,-13,\
+                 -12,11,-10,-8,7,-7,-7,-7,6,6,6,-6,-6,5,-5,-5,-5,4,4,4,-4,-4,-4,3,-3,-3,-3,\
+            -3,-3,-3,-3])
+
+        sdelt = numpy.array([-174.2,-1.6,-0.2,0.2,-3.4,0.1,1.2,-0.4,0,-0.5,0, 0.1, 0, 0, 0.1,\
+             0,-0.1])
+        sdelt = numpy.append(sdelt,numpy.zeros(10))
+        sdelt = numpy.append(sdelt,numpy.array([-0.1, 0, 0.1]))
+        sdelt = numpy.append(sdelt,numpy.zeros(33))
+        
+        cos_lng = numpy.array([92025,5736,977,-895,54,-7,224,200,129,-95,0,-70,-53,0,-33,26, \
+            32,27,0,-24,16,13,0,-12,0,0,-10,0,-8,7,9,7,6,0,5,3,-3,0,3,3,0,-3,-3,3,3,0,\
+            3,3,3])
+        cos_lng = numpy.append(cos_lng,numpy.zeros(14))
+        
+        cdelt = numpy.array([8.9,-3.1,-0.5,0.5,-0.1,0.0,-0.6,0.0,-0.1,0.3])
+        cdelt = numpy.append(cdelt,numpy.zeros(53))
+
+        # Sum the periodic terms.
+        n = numpy.size(jd)
+        nut_long = numpy.zeros(n)
+        nut_obliq = numpy.zeros(n)
+        
+        d_lng = d_lng.reshape(numpy.size(d_lng),1)
+        d = d.reshape(numpy.size(d),1)
+        matrix_d_lng = numpy.dot(d_lng,d.transpose())
+        
+        m_lng = m_lng.reshape(numpy.size(m_lng),1)
+        m = m.reshape(numpy.size(m),1)
+        matrix_m_lng = numpy.dot(m_lng,m.transpose())
+        
+        mp_lng = mp_lng.reshape(numpy.size(mp_lng),1)
+        mprime = mprime.reshape(numpy.size(mprime),1)
+        matrix_mp_lng = numpy.dot(mp_lng,mprime.transpose())
+        
+        f_lng = f_lng.reshape(numpy.size(f_lng),1)
+        f = f.reshape(numpy.size(f),1)
+        matrix_f_lng = numpy.dot(f_lng,f.transpose())
+        
+        om_lng = om_lng.reshape(numpy.size(om_lng),1)
+        omega = omega.reshape(numpy.size(omega),1)
+        matrix_om_lng = numpy.dot(om_lng,omega.transpose())
+        
+        arg = matrix_d_lng + matrix_m_lng + matrix_mp_lng + matrix_f_lng + matrix_om_lng
+        
+        sarg = numpy.sin(arg)
+        carg = numpy.cos(arg)
+
+        for ii in numpy.arange(n):
+            nut_long[ii] = 0.0001*numpy.sum((sdelt*t[ii] + sin_lng)*sarg[:,ii])
+            nut_obliq[ii] = 0.0001*numpy.sum((cdelt*t[ii] + cos_lng)*carg[:,ii])
+
+        if numpy.size(jd)==1:
+            nut_long = nut_long[0]
+            nut_obliq = nut_obliq[0]
+    
+        return nut_long, nut_obliq
+
+    def co_aberration(self,jd,ra,dec):
+        """
+        co_aberration calculates changes to Ra and Dec due to "the effect of aberration".
+        
+        Parameters
+        ----------
+        jd = Julian Date (Scalar or vector).
+        ra = A scalar o vector giving the Right Ascention of interest.
+        dec = A scalar o vector giving the Declination of interest.
+        
+        Return
+        ------
+        d_ra = The correction to right ascension due to aberration (must be added  to ra to
+          get the correct value).
+        d_dec = The correction to  declination due to aberration (must be  added to the dec
+          to get the correct value).
+        eps = True obliquity of the ecliptic (in radians).
+        
+        Examples
+        --------
+        >> Julian = 2462088.7 
+        >> Ra = 41.547213
+        >> Dec = 49.348483
+        >> [d_ra,d_dec,eps] = co_aberration(julian,Ra,Dec)
+        >> print d_ra, d_dec, eps
+        [ 30.04441796] [ 6.69837858] [ 0.40904059]
+        
+        Modification history
+        --------------------
+        Written by Chris O'Dell , Univ. of Wisconsin, June 2002.
+        Converted to Python by Freddy R. Galindo, ROJ, 27 September 2009.
+        """
+
+        # Julian centuries from J2000 of jd.
+        T = (jd - 2451545.0)/36525.0
+        
+        # Getting obliquity of ecliptic
+        njd = numpy.size(jd)
+        jd = numpy.atleast_1d(jd)
+        ra = numpy.atleast_1d(ra)
+        dec = numpy.atleast_1d(dec)
+        
+        d_psi = numpy.zeros(njd)
+        d_epsilon = d_psi
+        for ii in numpy.arange(njd):
+            [dp,de] = self.nutate(jd[ii])
+            d_psi[ii] = dp
+            d_epsilon[ii] = de
+
+        coeff = 23 + 26/60. + 21.488/3600.
+        eps0 = coeff*3600. - 46.8150*T - 0.00059*T**2. + 0.001813*T**3.
+        # True obliquity of the ecliptic in radians
+        eps = (eps0 + d_epsilon)/3600*Misc_Routines.CoFactors.d2r
+        
+        celestialbodies = CelestialBodies()
+        [sunra,sundec,sunlon,sunobliq] = celestialbodies.sunpos(jd)
+        
+        # Earth's orbital eccentricity
+        e = 0.016708634 - 0.000042037*T - 0.0000001267*T**2.
+        
+        # longitude of perihelion, in degrees
+        pi = 102.93735 + 1.71946*T + 0.00046*T**2
+        
+        # Constant of aberration, in arcseconds
+        k = 20.49552 
+        
+        cd = numpy.cos(dec*Misc_Routines.CoFactors.d2r)    ; sd = numpy.sin(dec*Misc_Routines.CoFactors.d2r)
+        ce = numpy.cos(eps)                  ; te = numpy.tan(eps)
+        cp = numpy.cos(pi*Misc_Routines.CoFactors.d2r)     ; sp = numpy.sin(pi*Misc_Routines.CoFactors.d2r)
+        cs = numpy.cos(sunlon*Misc_Routines.CoFactors.d2r) ; ss = numpy.sin(sunlon*Misc_Routines.CoFactors.d2r)
+        ca = numpy.cos(ra*Misc_Routines.CoFactors.d2r)     ; sa = numpy.sin(ra*Misc_Routines.CoFactors.d2r)
+        
+        term1 = (ca*cs*ce + sa*ss)/cd
+        term2 = (ca*cp*ce + sa*sp)/cd
+        term3 = (cs*ce*(te*cd - sa*sd) + ca*sd*ss)
+        term4 = (cp*ce*(te*cd - sa*sd) + ca*sd*sp)
+        
+        d_ra = -k*term1 + e*k*term2
+        d_dec = -k*term3 + e*k*term4
+        
+        return d_ra, d_dec, eps
+
+    def precess(self,ra,dec,equinox1=None,equinox2=None,FK4=0,rad=0):
+        """
+        precess coordinates from EQUINOX1 to EQUINOX2
+        
+        Parameters
+        -----------
+        ra = A scalar o vector giving the Right Ascention of interest.
+        dec = A scalar o vector giving the Declination of interest.
+        equinox1 = Original equinox of coordinates, numeric scalar.  If omitted, the __Pre-
+          cess will query for equinox1 and equinox2.
+        equinox2 = Original equinox of coordinates.
+        FK4 = If this keyword is  set  and non-zero, the FK4  (B1950)  system will  be used
+          otherwise FK5 (J2000) will be used instead.
+        rad = If this keyword is set and non-zero,  then the input and  output  RAD and DEC
+          vectors are in radian rather than degree.
+        
+        Return
+        ------
+        ra = Right ascension after precession (scalar or vector) in degrees, unless the rad
+          keyword is set.
+        dec = Declination after precession (scalar or vector)  in degrees,  unless  the rad
+          keyword is set.
+        
+        Examples
+        --------
+        >> Ra = 329.88772
+        >> Dec = -56.992515
+        >> [p_ra,p_dec] = precess(Ra,Dec,1950,1975,FK4=1)
+        >> print p_ra, p_dec
+        [ 330.31442971] [-56.87186154] 
+        
+        Modification history
+        --------------------
+        Written by Wayne Landsman, STI Corporation, August 1986.
+        Converted to Python by Freddy R. Galindo, ROJ, 27 September 2009.
+        """
+
+        npts = numpy.size(ra)
+        ra = numpy.atleast_1d(ra)
+        dec = numpy.atleast_1d(dec)
+
+        if rad==0:
+            ra_rad = ra*Misc_Routines.CoFactors.d2r
+            dec_rad = dec*Misc_Routines.CoFactors.d2r
+        else:
+            ra_rad = ra
+            dec_rad = dec
+
+        x = numpy.zeros((npts,3))
+        x[:,0] = numpy.cos(dec_rad)*numpy.cos(ra_rad)
+        x[:,1] = numpy.cos(dec_rad)*numpy.sin(ra_rad)
+        x[:,2] = numpy.sin(dec_rad)
+        
+        # Use premat function to get precession matrix from equinox1 to equinox2
+        r = self.premat(equinox1,equinox2,FK4)
+        
+        x2 = numpy.dot(r,x.transpose())
+        
+        ra_rad = numpy.arctan2(x2[1,:],x2[0,:])
+        dec_rad = numpy.arcsin(x2[2,:])
+        
+        if rad==0:
+            ra = ra_rad/Misc_Routines.CoFactors.d2r
+            ra = ra + (ra<0)*360.
+            dec = dec_rad/Misc_Routines.CoFactors.d2r
+        else:
+            ra = ra_rad
+            ra = ra + (ra<0)*numpy.pi*2.
+            dec = dec_rad
+
+        return ra, dec  
+
+    def premat(self,equinox1,equinox2,FK4=0):
+        """
+        premat returns the precession matrix needed to go from EQUINOX1 to EQUINOX2.
+        
+        Parameters
+        ----------
+        equinox1 = Original equinox of coordinates, numeric scalar.
+        equinox2 = Equinox of precessed coordinates.
+        FK4 = If this keyword is set and non-zero, the FK4 (B1950) system precession angles
+          are used to compute the precession matrix. The default is to use FK5 (J2000) pre-
+                  cession angles.
+        
+        Return
+        ------
+        r = Precession matrix, used to precess equatorial rectangular coordinates.
+        
+        Examples
+        --------
+        >> matrix = premat(1950.0,1975.0,FK4=1)
+        >> print matrix
+        [[  9.99981438e-01  -5.58774959e-03  -2.42908517e-03]
+         [  5.58774959e-03   9.99984388e-01  -6.78691471e-06]
+         [  2.42908517e-03  -6.78633095e-06   9.99997050e-01]]
+        
+        Modification history
+        --------------------
+        Written by Wayne Landsman, HSTX Corporation, June 1994.
+        Converted to Python by Freddy R. Galindo, ROJ, 27 September 2009.
+        """
+
+        t = 0.001*(equinox2 - equinox1)
+
+        if FK4==0:
+            st=0.001*(equinox1 - 2000.)            
+            # Computing 3 rotation angles.
+            A=Misc_Routines.CoFactors.s2r*t*(23062.181+st*(139.656+0.0139*st)+t*(30.188-0.344*st+17.998*t))
+            B=Misc_Routines.CoFactors.s2r*t*t*(79.280+0.410*st+0.205*t)+A
+            C=Misc_Routines.CoFactors.s2r*t*(20043.109-st*(85.33+0.217*st)+ t*(-42.665-0.217*st-41.833*t))
+        else:
+            st=0.001*(equinox1 - 1900)
+            # Computing 3 rotation angles
+            A=Misc_Routines.CoFactors.s2r*t*(23042.53+st*(139.75+0.06*st)+t*(30.23-0.27*st+18.0*t))
+            B=Misc_Routines.CoFactors.s2r*t*t*(79.27+0.66*st+0.32*t)+A
+            C=Misc_Routines.CoFactors.s2r*t*(20046.85-st*(85.33+0.37*st)+t*(-42.67-0.37*st-41.8*t))
+
+        sina = numpy.sin(A); sinb = numpy.sin(B); sinc = numpy.sin(C)
+        cosa = numpy.cos(A); cosb = numpy.cos(B); cosc = numpy.cos(C)
+        
+        r = numpy.zeros((3,3))        
+        r[:,0] = numpy.array([cosa*cosb*cosc-sina*sinb,sina*cosb+cosa*sinb*cosc,cosa*sinc])
+        r[:,1] = numpy.array([-cosa*sinb-sina*cosb*cosc,cosa*cosb-sina*sinb*cosc,-sina*sinc])
+        r[:,2] = numpy.array([-cosb*sinc,-sinb*sinc,cosc])
+        
+        return r
+
+    def cirrange(self,angle,rad=0):
+        """
+        cirrange forces an angle into the range 0<= angle < 360.
+        
+        Parameters
+        ----------
+        angle = The angle to modify, in degrees. Can be scalar or vector.
+        rad = Set to 1 if the angle is specified in radians rather than degrees. It is for-
+          ced into the range 0 <= angle < 2 PI
+        
+        Return
+        ------
+        angle = The angle after the modification.
+        
+        Example
+        -------
+        >> angle = cirrange(numpy.array([420,400,361]))
+        >> print angle
+        >> [60, 40, 1]
+        
+        Modification History
+        --------------------
+        Written by Michael R. Greason, Hughes STX, 10 February 1994.
+        Converted to Python by Freddy R. Galindo, ROJ, 26 September 2009.
+        """        
+
+        angle = numpy.atleast_1d(angle)
+        
+        if rad==1:
+            cnst = numpy.pi*2.
+        elif rad==0:
+            cnst = 360.
+
+        # Deal with the lower limit.
+        angle = angle % cnst
+        
+        # Deal with negative values, if way
+        neg = numpy.where(angle<0.0)
+        if neg[0].size>0: angle[neg] = angle[neg] + cnst
+        
+        return angle
+
+
+class CelestialBodies(EquatorialCorrections):
+    def __init__(self):
+        """
+        CelestialBodies class creates a object to call methods of celestial bodies location.
+        
+        Modification History
+        --------------------
+        Converted to Object-oriented Programming by Freddy Galindo, ROJ, 27 September 2009.
+        """
+
+        EquatorialCorrections.__init__(self)
+
+    def sunpos(self,jd,rad=0):
+        """
+        sunpos method computes the RA and Dec of the Sun at a given date.
+        
+        Parameters
+        ----------
+        jd = The julian date of the day (and time), scalar or vector.
+        rad = If this keyword is set and non-zero,  then the input and  output  RAD and DEC
+          vectors are in radian rather than degree.
+        
+        Return
+        ------
+        ra = The right ascension of the sun at that date in degrees.
+        dec = The declination of the sun at that date in degrees.
+        elong = Ecliptic longitude of the sun at that date in degrees.
+        obliquity = The declination of the sun at that date in degrees.
+        
+        Examples
+        --------
+        >> jd = 2466880
+        >> [ra,dec,elong,obliquity] = sunpos(jd)
+        >> print ra, dec, elong, obliquity
+        [ 275.53499556] [-23.33840558] [ 275.08917968] [ 23.43596165]
+        
+        >> [ra,dec,elong,obliquity] = sunpos(jd,rad=1)
+        >> print ra, dec, elong, obliquity
+        [ 4.80899288] [-0.40733202] [ 4.80121192] [ 0.40903469]
+        
+        >> jd = 2450449.5 + numpy.arange(365)
+        >> [ra,dec,elong,obliquity] = sunpos(jd)
+        
+        Modification history
+        --------------------
+        Written by Micheal R. Greason, STX Corporation, 28 October 1988.
+        Converted to Python by Freddy R. Galindo, ROJ, 27 September 2009.
+        """
+
+        jd = numpy.atleast_1d(jd)
+        
+        # Form time in Julian centuries from 1900.
+        t = (jd -2415020.0)/36525.0
+        
+        # Form sun's mean longitude
+        l = (279.696678+((36000.768925*t) % 360.0))*3600.0
+        
+        # Allow for  ellipticity of the orbit  (equation of centre)  using the Earth's mean
+        # anomoly ME
+        me = 358.475844 + ((35999.049750*t) % 360.0)
+        ellcor = (6910.1 - 17.2*t)*numpy.sin(me*Misc_Routines.CoFactors.d2r) + 72.3*numpy.sin(2.0*me*Misc_Routines.CoFactors.d2r)
+        l = l + ellcor
+        
+        # Allow for the Venus perturbations using the mean anomaly of Venus MV
+        mv = 212.603219 + ((58517.803875*t) % 360.0)
+        vencorr = 4.8*numpy.cos((299.1017 + mv - me)*Misc_Routines.CoFactors.d2r) + \
+            5.5*numpy.cos((148.3133 +  2.0*mv  -  2.0*me )*Misc_Routines.CoFactors.d2r) + \
+            2.5*numpy.cos((315.9433 +  2.0*mv  -  3.0*me )*Misc_Routines.CoFactors.d2r) + \
+            1.6*numpy.cos((345.2533 +  3.0*mv  -  4.0*me )*Misc_Routines.CoFactors.d2r) + \
+            1.0*numpy.cos((318.15   +  3.0*mv  -  5.0*me )*Misc_Routines.CoFactors.d2r)
+        l = l + vencorr
+
+        # Allow for the Mars perturbations using the mean anomaly of Mars MM
+        mm = 319.529425 + ((19139.858500*t) % 360.0)
+        marscorr = 2.0*numpy.cos((343.8883 - 2.0*mm + 2.0*me)*Misc_Routines.CoFactors.d2r ) + \
+            1.8*numpy.cos((200.4017 -  2.0*mm  + me)*Misc_Routines.CoFactors.d2r)
+        l = l + marscorr
+
+        # Allow for the Jupiter perturbations using the mean anomaly of Jupiter MJ
+        mj = 225.328328 + ((3034.6920239*t) % 360.0)
+        jupcorr = 7.2*numpy.cos((179.5317 - mj + me )*Misc_Routines.CoFactors.d2r) + \
+            2.6*numpy.cos((263.2167 - mj)*Misc_Routines.CoFactors.d2r) + \
+            2.7*numpy.cos((87.1450 - 2.0*mj + 2.0*me)*Misc_Routines.CoFactors.d2r) + \
+            1.6*numpy.cos((109.4933 - 2.0*mj + me)*Misc_Routines.CoFactors.d2r)
+        l = l + jupcorr
+
+        # Allow for Moons perturbations using mean elongation of the Moon from the Sun D
+        d = 350.7376814 + ((445267.11422*t) % 360.0)
+        mooncorr  = 6.5*numpy.sin(d*Misc_Routines.CoFactors.d2r)
+        l = l + mooncorr
+        
+        # Allow for long period terms
+        longterm  = + 6.4*numpy.sin((231.19 + 20.20*t)*Misc_Routines.CoFactors.d2r)
+        l = l + longterm
+        l = (l + 2592000.0) % 1296000.0
+        longmed = l/3600.0
+        
+        # Allow for Aberration
+        l = l - 20.5
+        
+        # Allow for Nutation using the longitude of the Moons mean node OMEGA
+        omega = 259.183275 - ((1934.142008*t) % 360.0)
+        l = l - 17.2*numpy.sin(omega*Misc_Routines.CoFactors.d2r)
+
+        # Form the True Obliquity
+        oblt = 23.452294 - 0.0130125*t + (9.2*numpy.cos(omega*Misc_Routines.CoFactors.d2r))/3600.0
+        
+        # Form Right Ascension and Declination
+        l = l/3600.0
+        ra  = numpy.arctan2((numpy.sin(l*Misc_Routines.CoFactors.d2r)*numpy.cos(oblt*Misc_Routines.CoFactors.d2r)),numpy.cos(l*Misc_Routines.CoFactors.d2r))
+        
+        neg = numpy.where(ra < 0.0)
+        if neg[0].size > 0: ra[neg] = ra[neg] + 2.0*numpy.pi
+        
+        dec = numpy.arcsin(numpy.sin(l*Misc_Routines.CoFactors.d2r)*numpy.sin(oblt*Misc_Routines.CoFactors.d2r))
+        
+        if rad==1:            
+            oblt = oblt*Misc_Routines.CoFactors.d2r
+            longmed = longmed*Misc_Routines.CoFactors.d2r
+        else:
+            ra = ra/Misc_Routines.CoFactors.d2r
+            dec = dec/Misc_Routines.CoFactors.d2r
+
+        return ra, dec, longmed, oblt
+
+    def moonpos(self,jd,rad=0):
+        """
+        moonpos method computes the RA and Dec of the Moon at specified Julian date(s).
+        
+        Parameters
+        ----------
+        jd = The julian date of the day (and time), scalar or vector.
+        rad = If this keyword is set and non-zero,  then the input and  output  RAD and DEC
+          vectors are in radian rather than degree.
+        
+        Return
+        ------
+        ra = The right ascension of the sun at that date in degrees.
+        dec = The declination of the sun at that date in degrees.
+        dist = The Earth-moon distance  in kilometers  (between the center of the Earth and
+          the center of the moon).
+        geolon = Apparent longitude of the moon in degrees, referred to the ecliptic of the
+          specified date(s).
+        geolat = Apparent latitude  the  moon in  degrees,  referred to the ecliptic of the
+          specified date(s).
+        
+        Examples
+        --------
+        >> jd = 2448724.5
+        >> [ra,dec,dist,geolon,geolat] = sunpos(jd)
+        >> print ra, dec, dist, geolon, geolat
+        [ 134.68846855] [ 13.76836663] [ 368409.68481613] [ 133.16726428] [-3.22912642]
+        
+        >> [ra,dec,dist,geolon, geolat] = sunpos(jd,rad=1)
+        >> print ra, dec, dist, geolon, geolat
+        [ 2.35075724] [ 0.24030333] [ 368409.68481613] [ 2.32420722] [-0.05635889]
+        
+        >> jd = 2450449.5 + numpy.arange(365)
+        >> [ra,dec,dist,geolon, geolat] = sunpos(jd)
+        
+        Modification history
+        --------------------
+        Written by Micheal R. Greason, STX Corporation, 31 October 1988.
+        Converted to Python by Freddy R. Galindo, ROJ, 06 October 2009.
+        """
+
+        jd = numpy.atleast_1d(jd)
+        
+        # Form time in Julian centuries from 1900.
+        t = (jd - 2451545.0)/36525.0
+
+        d_lng = numpy.array([0,2,2,0,0,0,2,2,2,2,0,1,0,2,0,0,4,0,4,2,2,1,1,2,2,4,2,0,2,2,1,2,\
+          0,0,2,2,2,4,0,3,2,4,0,2,2,2,4,0,4,1,2,0,1,3,4,2,0,1,2,2])
+        
+        m_lng = numpy.array([0,0,0,0,1,0,0,-1,0,-1,1,0,1,0,0,0,0,0,0,1,1,0,1,-1,0,0,0,1,0,-1,\
+          0,-2,1,2,-2,0,0,-1,0,0,1,-1,2,2,1,-1,0,0,-1,0,1,0,1,0,0,-1,2,1,0,0])
+
+        mp_lng = numpy.array([1,-1,0,2,0,0,-2,-1,1,0,-1,0,1,0,1,1,-1,3,-2,-1,0,-1,0,1,2,0,-3,\
+          -2,-1,-2,1,0,2,0,-1,1,0,-1,2,-1,1,-2,-1,-1,-2,0,1,4,0,-2,0,2,1,-2,-3,2,1,-1,3,-1])
+        
+        f_lng = numpy.array([0,0,0,0,0,2,0,0,0,0,0,0,0,-2,2,-2,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,\
+          0,0,0,0,-2,2,0,2,0,0,0,0,0,0,-2,0,0,0,0,-2,-2,0,0,0,0,0,0,0,-2])
+        
+        sin_lng = numpy.array([6288774,1274027,658314,213618,-185116,-114332,58793,57066,\
+          53322,45758,-40923,-34720,-30383,15327,-12528,10980,10675,10034,8548,-7888,\
+             -6766,-5163,4987,4036,3994,3861,3665,-2689,-2602,2390,-2348,2236,-2120,-2069,\
+          2048,-1773,-1595,1215,-1110,-892,-810,759,-713,-700,691,596,549,537,520,-487,\
+          -399,-381,351,-340,330,327,-323,299,294,0.0])
+        
+        cos_lng = numpy.array([-20905355,-3699111,-2955968,-569925,48888,-3149,246158,-152138,\
+          -170733,-204586,-129620,108743,104755,10321,0,79661,-34782,-23210,-21636,24208,\
+          30824,-8379,-16675,-12831,-10445,-11650,14403,-7003,0,10056,6322, -9884,5751,0,\
+          -4950,4130,0,-3958,0,3258,2616,-1897,-2117,2354,0,0,-1423,-1117,-1571,-1739,0, \
+          -4421,0,0,0,0,1165,0,0,8752.0])
+
+        d_lat = numpy.array([0,0,0,2,2,2,2,0,2,0,2,2,2,2,2,2,2,0,4,0,0,0,1,0,0,0,1,0,4,4,0,4,\
+          2,2,2,2,0,2,2,2,2,4,2,2,0,2,1,1,0,2,1,2,0,4,4,1,4,1,4,2])
+        
+        m_lat = numpy.array([0,0,0,0,0,0,0,0,0,0,-1,0,0,1,-1,-1,-1,1,0,1,0,1,0,1,1,1,0,0,0,0,\
+          0,0,0,0,-1,0,0,0,0,1,1,0,-1,-2,0,1,1,1,1,1,0,-1,1,0,-1,0,0,0,-1,-2])
+        
+        mp_lat = numpy.array([0,1,1,0,-1,-1,0,2,1,2,0,-2,1,0,-1,0,-1,-1,-1,0,0,-1,0,1,1,0,0,\
+          3,0,-1,1,-2,0,2,1,-2,3,2,-3,-1,0,0,1,0,1,1,0,0,-2,-1,1,-2,2,-2,-1,1,1,-1,0,0])
+
+        f_lat = numpy.array([1,1,-1,-1,1,-1,1,1,-1,-1,-1,-1,1,-1,1,1,-1,-1,-1,1,3,1,1,1,-1,\
+          -1,-1,1,-1,1,-3,1,-3,-1,-1,1,-1,1,-1,1,1,1,1,-1,3,-1,-1,1,-1,-1,1,-1,1,-1,-1, \
+          -1,-1,-1,-1,1])
+        
+        sin_lat = numpy.array([5128122,280602,277693,173237,55413,46271, 32573, 17198, 9266, \
+          8822,8216,4324,4200,-3359,2463,2211,2065,-1870,1828,-1794, -1749, -1565, -1491, \
+          -1475,-1410,-1344,-1335,1107,1021,833,777,671,607,596,491,-451,439,422,421,-366,\
+          -351,331,315,302,-283,-229,223,223,-220,-220,-185,181,-177,176, 166, -164, 132, \
+          -119,115,107.0])
+
+        # Mean longitude of the moon refered to mean equinox of the date.
+        coeff0 = numpy.array([-1./6.5194e7,1./538841.,-0.0015786,481267.88123421,218.3164477])
+        lprimed = numpy.poly1d(coeff0)
+        lprimed = lprimed(t)
+        lprimed = self.cirrange(lprimed,rad=0)
+        lprime = lprimed*Misc_Routines.CoFactors.d2r
+    
+        # Mean elongation of the moon
+        coeff1 = numpy.array([-1./1.13065e8,1./545868.,-0.0018819,445267.1114034,297.8501921])
+        d = numpy.poly1d(coeff1)
+        d = d(t)*Misc_Routines.CoFactors.d2r
+        d = self.cirrange(d,rad=1)
+        
+        # Sun's mean anomaly
+        coeff2 = numpy.array([1.0/2.449e7,-0.0001536,35999.0502909,357.5291092])
+        M = numpy.poly1d(coeff2)
+        M = M(t)*Misc_Routines.CoFactors.d2r
+        M = self.cirrange(M,rad=1)
+        
+        # Moon's mean anomaly
+        coeff3 = numpy.array([-1.0/1.4712e7,1.0/6.9699e4,0.0087414,477198.8675055,134.9633964])
+        Mprime = numpy.poly1d(coeff3)
+        Mprime = Mprime(t)*Misc_Routines.CoFactors.d2r
+        Mprime = self.cirrange(Mprime,rad=1)
+        
+        # Moon's argument of latitude
+        coeff4 = numpy.array([1.0/8.6331e8,-1.0/3.526e7,-0.0036539,483202.0175233,93.2720950])
+        F = numpy.poly1d(coeff4)
+        F = F(t)*Misc_Routines.CoFactors.d2r
+        F = self.cirrange(F,rad=1)
+
+        # Eccentricity of Earth's orbit around the sun
+        e = 1 - 0.002516*t - 7.4e-6*(t**2.)
+        e2 = e**2.
+        
+        ecorr1 = numpy.where((numpy.abs(m_lng))==1)
+        ecorr2 = numpy.where((numpy.abs(m_lat))==1)        
+        ecorr3 = numpy.where((numpy.abs(m_lng))==2)        
+        ecorr4 = numpy.where((numpy.abs(m_lat))==2)                
+        
+        # Additional arguments.
+        A1 = (119.75 + 131.849*t)*Misc_Routines.CoFactors.d2r
+        A2 = (53.09 + 479264.290*t)*Misc_Routines.CoFactors.d2r
+        A3 = (313.45 + 481266.484*t)*Misc_Routines.CoFactors.d2r
+        suml_add = 3958.*numpy.sin(A1) + 1962.*numpy.sin(lprime - F) + 318*numpy.sin(A2)
+        sumb_add = -2235.*numpy.sin(lprime) + 382.*numpy.sin(A3) + 175.*numpy.sin(A1-F) + \
+            175.*numpy.sin(A1 + F) + 127.*numpy.sin(lprime - Mprime) - 115.*numpy.sin(lprime + Mprime)
+        
+        # Sum the periodic terms
+        geolon = numpy.zeros(jd.size)
+        geolat = numpy.zeros(jd.size)
+        dist = numpy.zeros(jd.size)
+    
+        for i in numpy.arange(jd.size):
+            sinlng = sin_lng
+            coslng = cos_lng
+            sinlat = sin_lat
+            
+            sinlng[ecorr1] = e[i]*sinlng[ecorr1]
+            coslng[ecorr1] = e[i]*coslng[ecorr1]
+            sinlat[ecorr2] = e[i]*sinlat[ecorr2]
+            sinlng[ecorr3] = e2[i]*sinlng[ecorr3]
+            coslng[ecorr3] = e2[i]*coslng[ecorr3]
+            sinlat[ecorr4] = e2[i]*sinlat[ecorr4]
+            
+            arg = d_lng*d[i] + m_lng*M[i] + mp_lng*Mprime[i] + f_lng*F[i]
+            geolon[i] = lprimed[i] + (numpy.sum(sinlng*numpy.sin(arg)) + suml_add[i] )/1.e6
+            dist[i] = 385000.56 + numpy.sum(coslng*numpy.cos(arg))/1.e3
+            arg = d_lat*d[i] + m_lat*M[i] + mp_lat*Mprime[i] + f_lat*F[i]
+            geolat[i] = (numpy.sum(sinlat*numpy.sin(arg)) + sumb_add[i])/1.e6
+
+        [nlon, elon] = self.nutate(jd)
+        geolon =  geolon + nlon/3.6e3
+        geolon = self.cirrange(geolon,rad=0)
+        lamb = geolon*Misc_Routines.CoFactors.d2r
+        beta = geolat*Misc_Routines.CoFactors.d2r    
+        
+        # Find mean obliquity and convert lamb, beta to RA, Dec
+        c = numpy.array([2.45,5.79,27.87,7.12,-39.05,-249.67,-51.38,1999.25,-1.55,-4680.93, \
+           21.448])
+        junk = numpy.poly1d(c); 
+        epsilon = 23. + (26./60.) + (junk(t/1.e2)/3600.)
+        # True obliquity in radians
+        eps = (epsilon + elon/3600. )*Misc_Routines.CoFactors.d2r
+        
+        ra = numpy.arctan2(numpy.sin(lamb)*numpy.cos(eps)-numpy.tan(beta)*numpy.sin(eps),numpy.cos(lamb))
+        ra = self.cirrange(ra,rad=1)
+        
+        dec = numpy.arcsin(numpy.sin(beta)*numpy.cos(eps) + numpy.cos(beta)*numpy.sin(eps)*numpy.sin(lamb))
+
+        if rad==1:
+            geolon = lamb
+            geolat = beta
+        else:
+            ra = ra/Misc_Routines.CoFactors.d2r
+            dec = dec/Misc_Routines.CoFactors.d2r
+        
+        return ra, dec, dist, geolon, geolat
+
+    def hydrapos(self):
+        """
+        hydrapos method returns RA and Dec provided by Bill Coles (Oct 2003).
+        
+        Parameters
+        ----------
+        None
+        
+        Return
+        ------
+        ra = The right ascension of the sun at that date in degrees.
+        dec = The declination of the sun at that date in degrees.
+        Examples
+        --------
+        >> [ra,dec] = hydrapos()
+        >> print ra, dec
+        139.45 -12.0833333333
+        
+        Modification history
+        --------------------             
+        Converted to Python by Freddy R. Galindo, ROJ, 06 October 2009.
+        """
+
+        ra = (9. + 17.8/60.)*15.
+        dec = -(12. + 5./60.)
+        
+        return ra, dec
+
+
+    def skynoise_jro(self,dec_cut=-11.95,filename='skynoise_jro.dat',filepath=None):
+        """
+        hydrapos returns RA and Dec provided by Bill Coles (Oct 2003).
+        
+        Parameters
+        ----------
+        dec_cut = A scalar giving  the declination  to get a cut of the skynoise over Jica-
+          marca. The default value is -11.95.
+        filename = A string to specify name the skynoise file. The default value is skynoi-
+          se_jro.dat
+        
+        Return
+        ------
+        maxra = The maximum right ascension to the declination used to get a cut.
+        ra = The right ascension.
+        Examples
+        --------
+        >> [maxra,ra] = skynoise_jro()
+        >> print maxra, ra
+        139.45 -12.0833333333
+        
+        Modification history
+        --------------------             
+        Converted to Python by Freddy R. Galindo, ROJ, 06 October 2009.
+        """
+
+        if filepath==None:filepath = './resource'  
+        
+        f = open(os.path.join(filepath,filename),'rb')
+        
+        # Reading SkyNoise Power (lineal scale)
+        ha_sky = numpy.fromfile(f,numpy.dtype([('var','<f4')]),480*20)
+        ha_sky = ha_sky['var'].reshape(20,480).transpose()
+        
+        dec_sky = numpy.fromfile(f,numpy.dtype([('var','<f4')]),480*20)
+        dec_sky = dec_sky['var'].reshape((20,480)).transpose()
+        
+        tmp_sky = numpy.fromfile(f,numpy.dtype([('var','<f4')]),480*20)
+        tmp_sky = tmp_sky['var'].reshape((20,480)).transpose()
+        
+        f.close()
+        
+        nha = 480
+        tmp_cut = numpy.zeros(nha)
+        for iha in numpy.arange(nha):
+            tck = scipy.interpolate.splrep(dec_sky[iha,:],tmp_sky[iha,:],s=0)
+            tmp_cut[iha] = scipy.interpolate.splev(dec_cut,tck,der=0)
+
+        ptr = numpy.nanargmax(tmp_cut)
+        
+        maxra = ha_sky[ptr,0]
+        ra = ha_sky[:,0]
+        
+        return maxra, ra
+
+    def skyNoise(self,jd,ut=-5.0,longitude=-76.87,filename='galaxy.txt',filepath=None):
+        """
+        hydrapos returns RA and Dec provided by Bill Coles (Oct 2003).
+        
+        Parameters
+        ----------
+        jd = The julian date of the day (and time), scalar or vector.
+        
+        dec_cut = A scalar giving  the declination  to get a cut of the skynoise over Jica-
+          marca. The default value is -11.95.
+        filename = A string to specify name the skynoise file. The default value is skynoi-
+          se_jro.dat
+        
+        Return
+        ------
+        maxra = The maximum right ascension to the declination used to get a cut.
+        ra = The right ascension.
+        
+        Examples
+         --------
+        >> [maxra,ra] = skynoise_jro()
+        >> print maxra, ra
+        139.45 -12.0833333333
+        
+        Modification history
+        --------------------             
+        Converted to Python by Freddy R. Galindo, ROJ, 06 October 2009.
+        """
+
+        # Defining date to compute SkyNoise.
+        [year, month, dom, hour, mis, secs] = TimeTools.Julian(jd).change2time()
+        is_dom = (month==9) & (dom==21)
+        if is_dom:
+            tmp = jd
+            jd = TimeTools.Time(year,9,22).change2julian()
+            dom = 22
+
+        # Reading SkyNoise
+        if filepath==None:filepath='./resource'        
+        f = open(os.path.join(filepath,filename))
+        
+        lines = f.read()
+        f.close()
+        
+        nlines = 99
+        lines = lines.split('\n')
+        data = numpy.zeros((2,nlines))*numpy.float32(0.)
+        for ii in numpy.arange(nlines):
+            line = numpy.array([lines[ii][0:6],lines[ii][6:]])
+            data[:,ii] = numpy.float32(line)
+
+        # Getting SkyNoise to the date desired.
+        otime = data[0,:]*60.0
+        opowr = data[1,:]
+        
+        hour = numpy.array([0,23]);
+        mins = numpy.array([0,59]);
+        secs = numpy.array([0,59]);
+        LTrange = TimeTools.Time(year,month,dom,hour,mins,secs).change2julday()
+        LTtime  = LTrange[0] + numpy.arange(1440)*((LTrange[1] - LTrange[0])/(1440.-1))
+        lst = TimeTools.Julian(LTtime + (-3600.*ut/86400.)).change2lst()
+
+        ipowr = lst*0.0
+        # Interpolating using scipy (inside max and min "x")
+        otime = otime/3600.
+        val = numpy.where((lst>numpy.min(otime)) & (lst<numpy.max(otime))); val = val[0]
+        tck = scipy.interpolate.interp1d(otime,opowr)
+        ipowr[val] = tck(lst[val])
+
+        # Extrapolating above maximum time data (23.75).
+        uval = numpy.where(lst>numpy.max(otime))
+        if uval[0].size>0:
+            ii = numpy.min(uval[0])
+            m = (ipowr[ii-1] - ipowr[ii-2])/(lst[ii-1] - lst[ii-2])
+            b = ipowr[ii-1] - m*lst[ii-1]            
+            ipowr[uval] = m*lst[uval] + b
+
+        if is_dom:
+            lst = numpy.roll(lst,4)        
+            ipowr = numpy.roll(ipowr,4)
+
+        new_lst = numpy.int32(lst*3600.)
+        new_pow = ipowr
+
+        return ipowr, LTtime, lst
+
+
+class AltAz(EquatorialCorrections):
+    def __init__(self,alt,az,jd,lat=-11.95,lon=-76.8667,WS=0,altitude=500,nutate_=0,precess_=0,\
+        aberration_=0,B1950=0):
+        """
+        The AltAz class creates an object which represents the target position in horizontal
+        coordinates (alt-az) and allows to convert (using the methods) from  this coordinate
+        system to others (e.g. Equatorial).
+
+        Parameters
+        ----------
+        alt = Altitude in degrees. Scalar or vector.
+        az = Azimuth angle in degrees (measured EAST from NORTH, but see keyword WS).  Sca-
+          lar or vector.
+        jd = Julian date. Scalar or vector.
+         lat = North geodetic latitude of location in degrees. The default value is -11.95.
+        lon = East longitude of location in degrees. The default value is -76.8667.
+        WS = Set this to 1 to get the azimuth measured westward from south.
+        altitude = The altitude of the observing location, in meters. The default 500.
+        nutate_ = Set this to 1 to force nutation, 0  for no nutation.
+        precess_ = Set this to 1 to force precession, 0  for no precession.
+        aberration_ = Set this to 1 to force aberration correction, 0  for no correction.
+        B1950 = Set this if your RA and DEC are specified in B1950,  FK4 coordinates  (ins-
+          tead of J2000, FK5)
+
+        Modification History
+        --------------------
+        Converted to Object-oriented Programming by Freddy Galindo, ROJ, 26 September 2009.
+        """
+            
+        EquatorialCorrections.__init__(self)
+        
+        self.alt = numpy.atleast_1d(alt)
+        self.az = numpy.atleast_1d(az)
+        self.jd = numpy.atleast_1d(jd)
+        self.lat = lat
+        self.lon = lon
+        self.WS = WS
+        self.altitude = altitude
+        
+        self.nutate_ = nutate_
+        self.aberration_ = aberration_
+        self.precess_ = precess_
+        self.B1950 = B1950
+
+    def change2equatorial(self):
+        """
+        change2equatorial method converts horizon (Alt-Az) coordinates to equatorial coordi-
+        nates (ra-dec).
+        
+        Return
+        ------
+        ra = Right ascension of object (J2000) in degrees (FK5). Scalar or vector.
+        dec = Declination of object (J2000), in degrees (FK5). Scalar or vector.
+        ha = Hour angle in degrees.
+        
+        Example    
+        -------
+        >> alt = 88.5401  
+        >> az = -128.990       
+        >> jd = 2452640.5
+        >> ObjAltAz = AltAz(alt,az,jd)
+        >> [ra, dec, ha] = ObjAltAz.change2equatorial()
+        >> print ra, dec, ha
+        [ 22.20280632] [-12.86610025] [ 1.1638927]
+        
+        Modification History
+        --------------------
+        Written Chris O'Dell Univ. of Wisconsin-Madison, May 2002.
+        Converted to Python by Freddy R. Galindo, ROJ, 26 September 2009.
+        """
+
+        az = self.az
+        alt = self.alt
+        if self.WS>0:az = az -180.    
+        ra_tmp  = numpy.zeros(numpy.size(self.jd)) + 45.
+        dec_tmp = numpy.zeros(numpy.size(self.jd)) + 45.
+        [dra1,ddec1,eps,d_psi,d_eps] = self.co_nutate(self.jd,ra_tmp, dec_tmp)
+        
+        # Getting local mean sidereal time (lmst)
+        lmst = TimeTools.Julian(self.jd[0]).change2lst()
+        lmst = lmst*Misc_Routines.CoFactors.h2d
+        # Getting local apparent sidereal time (last)
+        last = lmst + d_psi*numpy.cos(eps)/3600.
+        
+        # Now do the spherical trig to get APPARENT hour angle and declination (Degrees).
+        [ha, dec] = self.change2HaDec()
+        
+        # Finding Right Ascension (in degrees, from 0 to 360.)
+        ra = (last - ha + 360.) % 360.
+        
+        # Calculate NUTATION and ABERRATION Correction to Ra-Dec
+        [dra1, ddec1,eps,d_psi,d_eps] = self.co_nutate(self.jd,ra,dec)
+        [dra2,ddec2,eps] = self.co_aberration(self.jd,ra,dec)
+        
+        # Make Nutation and Aberration correction (if wanted)
+        ra = ra - (dra1*self.nutate_ + dra2*self.aberration_)/3600.
+        dec = dec - (ddec1*self.nutate_ + ddec2*self.aberration_)/3600.
+        
+        # Computing current equinox
+        j_now = (self.jd - 2451545.)/365.25 + 2000 
+        
+        # Precess coordinates to current date
+        if self.precess_==1:
+            njd = numpy.size(self.jd)
+            for ii in numpy.arange(njd):
+                ra_i = ra[ii]
+                dec_i = dec[ii]
+                now = j_now[ii]
+                
+                if self.B1950==1:
+                    [ra_i,dec_i] = self.precess(ra_i,dec_i,now,1950.,FK4=1)
+                elif self.B1950==0:
+                    [ra_i,dec_i] = self.precess(ra_i,dec_i,now,2000.,FK4=0)
+            
+                ra[ii] = ra_i
+                dec[ii] = dec_i
+    
+        return ra, dec, ha
+
+    def change2HaDec(self):
+        """
+        change2HaDec method converts from horizon (Alt-Az) coordinates to hour angle and de-
+        clination.
+        
+        Return
+        ------
+        ha = The local apparent hour angle, in degrees. The hour angle is the time that ri-
+          ght ascension of 0 hours crosses the local meridian. It is unambiguisoly defined.
+        dec = The local apparent declination, in degrees.
+        
+        Example    
+        -------
+        >> alt = 88.5401  
+        >> az = -128.990       
+        >> jd = 2452640.5
+        >> ObjAltAz = AltAz(alt,az,jd)
+        >> [ha, dec] = ObjAltAz.change2HaDec()
+        >> print ha, dec
+        [ 1.1638927] [-12.86610025]
+        
+        Modification History
+        --------------------
+        Written Chris O'Dell Univ. of Wisconsin-Madison, May 2002.
+        Converted to Python by Freddy R. Galindo, ROJ, 26 September 2009.
+        """    
+
+        alt_r = numpy.atleast_1d(self.alt*Misc_Routines.CoFactors.d2r)
+        az_r = numpy.atleast_1d(self.az*Misc_Routines.CoFactors.d2r)
+        lat_r = numpy.atleast_1d(self.lat*Misc_Routines.CoFactors.d2r)
+        
+        # Find local hour angle (in degrees, from 0 to 360.)
+        y_ha = -1*numpy.sin(az_r)*numpy.cos(alt_r)
+        x_ha = -1*numpy.cos(az_r)*numpy.sin(lat_r)*numpy.cos(alt_r) +  numpy.sin(alt_r)*numpy.cos(lat_r)
+        
+        ha = numpy.arctan2(y_ha,x_ha)
+        ha = ha/Misc_Routines.CoFactors.d2r
+        
+        w = numpy.where(ha<0.)
+        if w[0].size>0:ha[w] = ha[w] + 360.
+        ha = ha % 360.
+        
+        # Find declination (positive if north of celestial equatorial, negative if south)
+        sindec = numpy.sin(lat_r)*numpy.sin(alt_r) + numpy.cos(lat_r)*numpy.cos(alt_r)*numpy.cos(az_r)
+        dec = numpy.arcsin(sindec)/Misc_Routines.CoFactors.d2r
+        
+        return ha, dec    
+
+
+class Equatorial(EquatorialCorrections):
+    def __init__(self,ra,dec,jd,lat=-11.95,lon=-76.8667,WS=0,altitude=500,nutate_=0,precess_=0,\
+                aberration_=0,B1950=0):
+        """
+        The Equatorial class creates an object which represents the target position in equa-
+        torial coordinates (ha-dec)  and allows  to convert  (using the class  methods) from
+        this coordinate system to others (e.g. AltAz).
+        
+        Parameters
+        ----------
+        ra = Right ascension of object (J2000) in degrees (FK5). Scalar or vector.
+        dec = Declination of object (J2000), in degrees (FK5). Scalar or vector.
+        jd = Julian date. Scalar or vector.
+        lat = North geodetic latitude of location in degrees. The default value is -11.95.
+        lon = East longitude of location in degrees. The default value is -76.8667.
+        WS = Set this to 1 to get the azimuth measured westward from south.
+        altitude = The altitude of the observing location, in meters. The default 500.
+        nutate = Set this to 1 to force nutation, 0  for no nutation.
+        precess = Set this to 1 to force precession, 0  for no precession.
+        aberration = Set this to 1 to force aberration correction, 0  for no correction.
+        B1950 = Set this if your RA and DEC are specified in B1950,  FK4 coordinates  (ins-
+          tead of J2000, FK5)
+        
+        Modification History
+        --------------------
+        Converted to Object-oriented Programming by Freddy Galindo, ROJ, 29 September 2009.
+        """
+
+        EquatorialCorrections.__init__(self)
+        
+        self.ra = numpy.atleast_1d(ra)
+        self.dec = numpy.atleast_1d(dec)
+        self.jd = numpy.atleast_1d(jd)
+        self.lat = lat
+        self.lon = lon
+        self.WS = WS
+        self.altitude = altitude
+        
+        self.nutate_ = nutate_
+        self.aberration_ = aberration_
+        self.precess_ = precess_
+        self.B1950 = B1950
+
+    def change2AltAz(self):
+        """
+        change2AltAz method converts from equatorial coordinates (ha-dec) to horizon coordi-
+        nates (alt-az).
+        
+        Return
+        ------
+        alt = Altitude in degrees. Scalar or vector.
+        az = Azimuth angle in degrees (measured EAST from NORTH, but see keyword WS).  Sca-
+          lar or vector.
+        ha = Hour angle in degrees.
+        
+        Example    
+        -------
+        >> ra = 43.370609 
+        >> dec = -28.0000 
+        >> jd = 2452640.5
+        >> ObjEq = Equatorial(ra,dec,jd)
+        >> [alt, az, ha] = ObjEq.change2AltAz()
+        >> print alt, az, ha
+        [ 65.3546497] [ 133.58753124] [ 339.99609002]
+        
+        Modification History
+        --------------------
+        Written Chris O'Dell Univ. of Wisconsin-Madison. May 2002
+        Converted to Python by Freddy R. Galindo, ROJ, 29 September 2009.
+        """
+
+        ra = self.ra
+        dec = self.dec
+        
+        # Computing current equinox
+        j_now = (self.jd - 2451545.)/365.25 + 2000
+        
+        # Precess coordinates to current date
+        if self.precess_==1:
+            njd = numpy.size(self.jd)
+            for ii in numpy.arange(njd):
+                ra_i = ra[ii]
+                dec_i = dec[ii]
+                now = j_now[ii]
+                
+                if self.B1950==1:
+                    [ra_i,dec_i] = self.precess(ra_i,dec_i,now,1950.,FK4=1)
+                elif self.B1950==0:
+                    [ra_i,dec_i] = self.precess(ra_i,dec_i,now,2000.,FK4=0)
+                
+                ra[ii] = ra_i
+                dec[ii] = dec_i
+
+        # Calculate NUTATION and ABERRATION Correction to Ra-Dec
+        [dra1, ddec1,eps,d_psi,d_eps] = self.co_nutate(self.jd,ra,dec)
+        [dra2,ddec2,eps] = self.co_aberration(self.jd,ra,dec)
+        
+        # Make Nutation and Aberration correction (if wanted)
+        ra = ra + (dra1*self.nutate_ + dra2*self.aberration_)/3600.
+        dec = dec + (ddec1*self.nutate_ + ddec2*self.aberration_)/3600.
+        
+        # Getting local mean sidereal time (lmst)
+        lmst = TimeTools.Julian(self.jd).change2lst()
+        
+        lmst = lmst*Misc_Routines.CoFactors.h2d
+        # Getting local apparent sidereal time (last)
+        last = lmst + d_psi*numpy.cos(eps)/3600.
+        
+        # Finding Hour Angle (in degrees, from 0 to 360.)
+        ha = last - ra        
+        w = numpy.where(ha<0.)
+        if w[0].size>0:ha[w] = ha[w] + 360.
+        ha = ha % 360.        
+
+        # Now do the spherical trig to get APPARENT hour angle and declination (Degrees).
+        [alt, az] = self.HaDec2AltAz(ha,dec)
+        
+        return alt, az, ha
+
+    def HaDec2AltAz(self,ha,dec):
+        """
+        HaDec2AltAz convert hour angle and declination (ha-dec) to horizon coords (alt-az).
+        
+        Parameters
+        ----------
+        ha = The local apparent hour angle, in DEGREES, scalar or vector.
+        dec = The local apparent declination, in DEGREES, scalar or vector.
+        
+        Return
+        ------
+        alt = Altitude in degrees. Scalar or vector.
+        az = Azimuth angle in degrees (measured EAST from NORTH, but see keyword WS).  Sca-
+          lar or vector.
+        
+        Modification History
+        --------------------
+        Written Chris O'Dell Univ. of Wisconsin-Madison, May 2002.
+        Converted to Python by Freddy R. Galindo, ROJ, 26 September 2009.
+        """
+
+        sh = numpy.sin(ha*Misc_Routines.CoFactors.d2r) ; ch = numpy.cos(ha*Misc_Routines.CoFactors.d2r)
+        sd = numpy.sin(dec*Misc_Routines.CoFactors.d2r) ; cd = numpy.cos(dec*Misc_Routines.CoFactors.d2r)
+        sl = numpy.sin(self.lat*Misc_Routines.CoFactors.d2r) ; cl = numpy.cos(self.lat*Misc_Routines.CoFactors.d2r)
+        
+        x = -1*ch*cd*sl + sd*cl
+        y = -1*sh*cd
+        z = ch*cd*cl + sd*sl
+        r = numpy.sqrt(x**2. + y**2.)
+        
+        az = numpy.arctan2(y,x)/Misc_Routines.CoFactors.d2r
+        alt = numpy.arctan2(z,r)/Misc_Routines.CoFactors.d2r
+        
+        # correct for negative az.
+        w = numpy.where(az<0.)
+        if w[0].size>0:az[w] = az[w] + 360.
+        
+        # Convert az to West from South, if desired
+        if self.WS==1: az = (az + 180.) % 360.
+        
+        return alt, az
+
+
+class Geodetic():
+    def __init__(self,lat=-11.95,alt=0):    
+        """
+        The Geodetic class creates an object which represents the real position on earth of
+        a target (Geodetic Coordinates: lat-alt) and allows to convert (using the class me-
+        thods) from this coordinate system to others (e.g. geocentric).
+        
+        Parameters
+        ----------
+        lat = Geodetic latitude of location in degrees. The default value is -11.95.
+        
+        alt = Geodetic altitude (km). The default value is 0.
+        
+        Modification History
+        --------------------
+        Converted to Object-oriented Programming by Freddy R. Galindo, ROJ, 02 October 2009.
+        """
+
+        self.lat = numpy.atleast_1d(lat)
+        self.alt = numpy.atleast_1d(alt)
+        
+        self.a = 6378.16
+        self.ab2 = 1.0067397
+        self.ep2 = 0.0067397
+
+    def change2geocentric(self):    
+        """
+        change2geocentric method converts from Geodetic to Geocentric  coordinates. The re-
+        ference    geoid is that adopted by the IAU in 1964.
+        
+        Return
+        ------
+        gclat = Geocentric latitude (in degrees), scalar or vector.
+        gcalt = Geocentric radial distance (km), scalar or vector.
+        
+        Example    
+        -------
+        >> ObjGeoid = Geodetic(lat=-11.95,alt=0)
+        >> [gclat, gcalt] = ObjGeoid.change2geocentric()
+        >> print gclat, gcalt
+        [-11.87227742] [ 6377.25048195]
+        
+        Modification History
+        --------------------
+        Converted to Python by Freddy R. Galindo, ROJ, 02 October 2009.        
+        """
+
+        gdl = self.lat*Misc_Routines.CoFactors.d2r
+        slat = numpy.sin(gdl)
+        clat = numpy.cos(gdl)
+        slat2 = slat**2.
+        clat2 = (self.ab2*clat)**2.
+        
+        sbet = slat/numpy.sqrt(slat2 + clat2)
+        sbet2 = (sbet**2.) # < 1
+        noval = numpy.where(sbet2>1)
+        if noval[0].size>0:sbet2[noval] = 1
+        cbet = numpy.sqrt(1. - sbet2)
+        
+        rgeoid = self.a/numpy.sqrt(1. + self.ep2*sbet2)
+        
+        x =  rgeoid*cbet + self.alt*clat
+        y =  rgeoid*sbet + self.alt*slat
+
+        gcalt = numpy.sqrt(x**2. + y**2.)
+        gclat = numpy.arctan2(y,x)/Misc_Routines.CoFactors.d2r
+        
+        return gclat, gcalt
diff --git a/apps/abs/utils/Files.py b/apps/abs/utils/Files.py
new file mode 100644
index 0000000..f392d95
--- /dev/null
+++ b/apps/abs/utils/Files.py
@@ -0,0 +1,18 @@
+'''
+Created on Jun 19, 2013
+
+@author: Jose Antonio Sal y Rosas Celi
+@contact: jose.salyrosas@jro.igp.gob.pe
+'''
+
+from datetime import datetime
+
+class Files(object):
+
+    def setFilename(self):
+        return datetime.today().strftime("%Y%m%d%H%M%S%f")
+
+    def save(self, filename, contentFile):
+        f = open(filename, 'a+')
+        f.write(contentFile)
+        f.close()
diff --git a/apps/abs/utils/Graphics_Miscens.py b/apps/abs/utils/Graphics_Miscens.py
new file mode 100644
index 0000000..ae73466
--- /dev/null
+++ b/apps/abs/utils/Graphics_Miscens.py
@@ -0,0 +1,51 @@
+"""
+The GRAPHICS_MISC.py module gathers classes and/or functions useful for generation of plots.
+
+MODULES CALLED:
+NUMPY, OS
+
+MODIFICATION HISTORY:
+Created by Ing. Freddy Galindo (frederickgalindo@gmail.com). ROJ, 13 August 2009.
+"""
+
+import os
+import numpy
+import sys
+
+
+class ColorTable:
+    def __init__(self,table=1,filepath=None):
+        self.table = table
+        #set to path for data folder, file: col_koki.dat
+        if filepath==None:
+            filepath= './data/'
+        self.filepath = filepath
+
+    def readTable(self):
+        if self.table>0:
+            if self.table==1:
+                f = open(os.path.join(self.filepath,'col_koki.dat'),'rb')
+
+                #f = open('./col_koki.dat','rb')
+
+                # Reading SkyNoise Power (lineal scale)
+                blue = numpy.fromfile(f,numpy.dtype([('var','b')]),256)
+                blue = numpy.int32(blue['var'])
+                val = numpy.where(blue<0)
+                if val[0].size:blue[val] = blue[val] + numpy.int32(256)
+
+                green = numpy.fromfile(f,numpy.dtype([('var','b')]),256)
+                green = numpy.int32(green['var'])
+                val = numpy.where(green<0)
+                if val[0].size:green[val] = green[val] + numpy.int32(256)
+
+                red = numpy.fromfile(f,numpy.dtype([('var','b')]),256)
+                red = numpy.int32(red['var'])
+                val = numpy.where(red<0)
+                if val[0].size:red[val] = red[val] + numpy.int32(256)
+                
+                f.close()
+
+                colortable = numpy.array([red/255.,green/255.,blue/255.])
+
+                return colortable
diff --git a/apps/abs/utils/Graphics_OverJro.py b/apps/abs/utils/Graphics_OverJro.py
new file mode 100644
index 0000000..6012cd2
--- /dev/null
+++ b/apps/abs/utils/Graphics_OverJro.py
@@ -0,0 +1,563 @@
+"""
+The module GRAPHICS_OVERJRO.py gathers classes or/and functions to create graphics from OVER-JRO
+project (e.g. antenna patterns, skynoise, ...).
+
+MODULES CALLED:
+TIME, NUMPY, MATPLOTLIB, TIMETOOLS
+
+MODIFICATION HISTORY:
+Created by Ing. Freddy Galindo (frederickgalindo@gmail.com). ROJ Oct 18, 2009.
+"""
+
+import time
+import numpy
+import sys
+import os
+
+# set HOME environment variable to a directory the httpd server can write to
+#os.environ[ 'HOME' ] = '/usr/local/www/htdocs/overJro/tempReports'
+#os.environ[ 'HOME' ] = '/home/dsuarez/Pictures'
+#os.environ[ 'HOME' ] = '/tmp/'
+import matplotlib
+#if ide==1:
+#    matplotlib.use('Qt4Agg')
+#elif ide==2:
+#    matplotlib.use("Agg")
+#else:
+#    matplotlib.use('TKAgg')
+#matplotlib.use("Agg")
+#matplotlib.interactive(1)
+import matplotlib.pyplot
+#import Numeric
+#import scipy
+import scipy.interpolate
+
+import Astro_Coords
+import TimeTools
+import Graphics_Miscens
+
+import Misc_Routines
+
+class AntPatternPlot:
+    def __init__(self):
+        """
+        AntPatternPlot creates an object to call methods to plot the antenna pattern.
+
+        Modification History
+        --------------------
+        Created by Freddy Galindo, ROJ, 06 October 2009.
+        """
+        self.figure = None
+        pass
+
+    def contPattern(self,iplot=0,gpath='',filename='',mesg='',amp=None ,x=None ,y=None ,getCut=None,title=''):
+        """
+        contPattern plots a contour map of the antenna pattern.
+
+        Parameters
+        ----------
+        iplot = A integer to specify if the plot is  the first, second, ...  The default va-
+          lue is 0.
+
+        Examples
+        --------
+        >> Over_Jro.JroPattern(pattern=2).contPattern()
+
+        Modification history
+        --------------------
+        Converted to Python by Freddy R. Galindo, ROJ, 06 October 2009.
+        """
+
+        if getCut == 1:
+            return
+
+        xmax = numpy.max(x)
+        xmin = numpy.min(x)
+        ymax = numpy.max(y)
+        ymin = numpy.min(y)
+
+        levels = numpy.array([1e-3,1e-2,1e-1,0.5,1.0])
+        tmp = numpy.round(10*numpy.log10(levels),decimals=1)
+        labels = range(5)
+        for i in numpy.arange(5):labels[i] = str(numpy.int(tmp[i]))
+
+        if iplot==0:
+            xsize = 8.0
+            if matplotlib.get_backend()=='QT4Agg':xsize = 6.0
+            ysize = 8.0
+            self.figure = matplotlib.pyplot.figure(num=2,figsize=(xsize,ysize))
+            matplotlib.pyplot.clf()
+
+        colors = ((0,0,1.),(0,170/255.,0),(127/255.,1.,0),(1.,109/255.,0),(128/255.,0,0))
+        CS = matplotlib.pyplot.contour(x,y,amp.transpose(),levels,colors=colors)
+        fmt = {}
+        for l,s in zip(CS.levels,labels):fmt[l] = s
+
+        matplotlib.pyplot.annotate('Ng',xy=(-0.05,1.04),xytext=(0.01,0.962),xycoords='axes fraction',arrowprops=dict(facecolor='black', width=1.,shrink=0.2),fontsize=15.)
+        matplotlib.pyplot.annotate(mesg,xy=(0,0),xytext=(0.01,0.01),xycoords='figure fraction')
+        matplotlib.pyplot.clabel(CS,CS.levels,inline=True,fmt=fmt,fontsize=10)
+        matplotlib.pyplot.xlim(xmin,xmax)
+        matplotlib.pyplot.ylim(ymin,ymax)
+        matplotlib.pyplot.title("Total Pattern" + title)
+        matplotlib.pyplot.xlabel("West to South")
+        matplotlib.pyplot.ylabel("West to North")
+        matplotlib.pyplot.grid(True)
+        print "SAVE_FIG"
+        print gpath
+        print filename
+        save_fig = os.path.join(gpath,filename)
+        matplotlib.pyplot.savefig(save_fig,format='png')
+
+    def plotRaDec(self,gpath=None,filename=None,jd=2452640.5,ra_obs=None,xg=None,yg=None,x=None,y=None):
+        """
+        plotRaDec draws right ascension and declination lines on a JRO plane. This function
+        must call after conPattern.
+
+        Parameters
+        ----------
+        jd = A scalar giving the Julian date.
+        ra_obs = Scalar giving the right ascension of the observatory.
+        xg = A 3-element array to specify ..
+        yg = A 3-element array to specify ..
+
+        Examples
+        --------
+        >> Over_Jro.JroPattern(pattern=2).contPattern()
+        >> Over_Jro.JroPattern(pattern=2).plotRaDec(jd=jd,ra_obs=ra_obs,xg=xg,yg=yg)
+
+        Modification history
+        --------------------
+        Converted to Python by Freddy R. Galindo, ROJ, 06 October 2009.
+        """
+
+        # Finding RA of observatory for a specific date
+        if ra_obs==None:ra_obs = numpy.array([23.37060849])
+        if xg==None:xg = numpy.array([0.62918474,-0.77725579,0.])
+        if yg==None:yg = numpy.array([0.77700346,0.62898048,0.02547905])
+
+        # Getting HA and DEC axes
+        mindec = -28; maxdec = 4; incdec = 2.
+        ndec = numpy.int((maxdec - mindec)/incdec) + 1
+
+        minha = -20; maxha = 20; incha = 2.
+        nha = numpy.int((maxha - minha)/incha) + 1
+
+        mcosx = numpy.zeros((nha,ndec))
+        mcosy = numpy.zeros((nha,ndec))
+
+        ha_axes = numpy.reshape(numpy.arange(nha)*incha + minha,(nha,1))
+        ones_dec = numpy.reshape(numpy.zeros(ndec) + 1,(ndec,1))
+        ha_axes = numpy.dot(ha_axes,ones_dec.transpose())
+        ha_axes2 = numpy.array(ra_obs - ha_axes)
+
+        dec_axes = numpy.reshape(numpy.arange(ndec)*incdec + mindec,(ndec,1))
+        ones_ra = numpy.reshape(numpy.zeros(nha) + 1,(nha,1))
+        dec_axes = numpy.dot(ones_ra,dec_axes.transpose())
+        dec_axes2 = numpy.array(dec_axes)
+
+        ObjHor = Astro_Coords.Equatorial(ha_axes2,dec_axes2,jd)
+        [alt,az,ha] = ObjHor.change2AltAz()
+
+        z = numpy.transpose(alt)*Misc_Routines.CoFactors.d2r  ; z = z.flatten()
+        az = numpy.transpose(az)*Misc_Routines.CoFactors.d2r  ; az = az.flatten()
+
+        vect = numpy.array([numpy.cos(z)*numpy.sin(az),numpy.cos(z)*numpy.cos(az),numpy.sin(z)])
+
+        xg = numpy.atleast_2d(xg)
+        dcosx = numpy.array(numpy.dot(xg,vect))
+        yg = numpy.atleast_2d(yg)
+        dcosy = numpy.array(numpy.dot(yg,vect))
+
+        mcosx = dcosx.reshape(ndec,nha)
+        mcosy = dcosy.reshape(ndec,nha)
+
+        # Defining NAN for points outof limits.
+        xmax = numpy.max(x)
+        xmin = numpy.min(x)
+        ymax = numpy.max(y)
+        ymin = numpy.min(y)
+
+        factor = 1.3
+        noval = numpy.where((mcosx>(xmax*factor)) | (mcosx<(xmin*factor)))
+        if noval[0].size>0:mcosx[noval] = numpy.nan
+        noval = numpy.where((mcosy>(ymax*factor)) | (mcosy<(ymin*factor)))
+        if noval[0].size>0:mcosy[noval] = numpy.nan
+
+        # Plotting HA and declination grid.
+        iha0 = numpy.int((0 - minha)/incha)
+        idec0 = numpy.int((-14 - mindec)/incdec)
+
+        colorgrid = (1.,109/255.,0)
+        matplotlib.pyplot.plot(mcosx.transpose(),mcosy.transpose(),color=colorgrid,linestyle='--')
+        for idec in numpy.arange(ndec):
+            if idec != idec0:
+                valx = (mcosx[idec,iha0]<=xmax) & (mcosx[idec,iha0]>=xmin)
+                valy = (mcosy[idec,iha0]<=ymax) & (mcosy[idec,iha0]>=ymin)
+                if valx & valy:
+                    text = str(numpy.int(mindec + incdec*idec))+'$^o$'
+                    matplotlib.pyplot.text(mcosx[idec,iha0],mcosy[idec,iha0],text)
+
+        matplotlib.pyplot.plot(mcosx,mcosy,color=colorgrid,linestyle='--')
+        for iha in numpy.arange(nha):
+            if iha != iha0:
+                valx = (mcosx[idec0,iha]<=xmax) & (mcosx[idec0,iha]>=xmin)
+                valy = (mcosy[idec0,iha]<=ymax) & (mcosy[idec0,iha]>=ymin)
+                if valx & valy:
+                    text = str(4*numpy.int(minha + incha*iha))+"'"
+                    matplotlib.pyplot.text(mcosx[idec0,iha],mcosy[idec0,iha],text)
+
+        matplotlib.pyplot.xlim(xmin,xmax)
+        matplotlib.pyplot.ylim(ymin,ymax)
+
+        save_fig = os.path.join(gpath,filename)
+        matplotlib.pyplot.savefig(save_fig,format='png')
+
+
+class BFieldPlot:
+    def __init__(self):
+        """
+        BFieldPlot creates an object for drawing magnetic Field lines over Jicamarca.
+
+        Modification History
+        --------------------
+        Created by Freddy Galindo, ROJ, 07 October 2009.
+        """
+
+        self.alpha_location = 1
+#        pass
+
+    def plotBField(self,gpath,filename,dcos,alpha, nlon, nlat, dcosxrange, dcosyrange, heights, alpha_i):
+        """
+        plotBField draws the magnetic field in a directional cosines plot.
+
+        Parameters
+        ----------
+        dcos = An 4-dimensional array giving the directional cosines of the magnetic field
+          over the desired place.
+        alpha = An 3-dimensional array giving the angle of the magnetic field over the desi-
+          red place.
+        nlon = An integer to specify the number of elements per longitude.
+        nlat = An integer to specify the number of elements per latitude.
+        dcosxrange = A 2-element array giving the range of the  directional cosines  in the
+          "x" axis.
+        dcosyrange = A 2-element array giving the range of the  directional cosines  in the
+          "y" axis.
+        heights = An array giving the heights (km) where the magnetic field will be modeled               By default the magnetic field will be computed at 100, 500 and 1000km.
+        alpha_i = Angle to interpolate the magnetic field.
+        Modification History
+        --------------------
+        Converted to Python by Freddy R. Galindo, ROJ, 07 October 2009.
+        """
+
+        handles = []
+        objects = []
+        colors = ['k','m','c','b','g','r','y']
+        marker = ['-+','-*','-D','-x','-s','->','-o','-^']
+
+        alpha_location = numpy.zeros((nlon,2,heights.size))
+
+        for ih in numpy.arange(heights.size):
+            alpha_location[:,0,ih] = dcos[:,0,ih,0]
+            for ilon in numpy.arange(nlon):
+                myx = (alpha[ilon,:,ih])[::-1]
+                myy = (dcos[ilon,:,ih,0])[::-1]
+                tck = scipy.interpolate.splrep(myx,myy,s=0)
+                mydcosx = scipy.interpolate.splev(alpha_i,tck,der=0)
+
+                myx = (alpha[ilon,:,ih])[::-1]
+                myy = (dcos[ilon,:,ih,1])[::-1]
+                tck = scipy.interpolate.splrep(myx,myy,s=0)
+                mydcosy = scipy.interpolate.splev(alpha_i,tck,der=0)
+                alpha_location[ilon,:,ih] = numpy.array([mydcosx, mydcosy])
+
+
+            ObjFig, = matplotlib.pyplot.plot(alpha_location[:,0,ih],alpha_location[:,1,ih], \
+                marker[ih % 8],color=colors[numpy.int(ih/8)],ms=4.5,lw=0.5)
+            handles.append(ObjFig)
+            objects.append(numpy.str(heights[ih]) + ' km')
+
+        matplotlib.pyplot.xlim(dcosxrange[0],dcosxrange[1])
+        matplotlib.pyplot.ylim(dcosyrange[0],dcosyrange[1])
+
+        try:
+            ObjlegB = matplotlib.pyplot.legend(handles,objects,loc="lower right", numpoints=1, handlelength=0.3, \
+                                handletextpad=0.02, borderpad=0.3, labelspacing=0.1)
+        except:
+            ObjlegB = matplotlib.pyplot.legend(handles,objects,loc=[0.01,0.75], numpoints=1, handlelength=0, \
+            pad=0.015, handletextsep=0.02,labelsep=0.01)
+
+        matplotlib.pyplot.setp(ObjlegB.get_texts(),fontsize='small')
+        matplotlib.pyplot.gca().add_artist(ObjlegB)
+
+        save_fig = os.path.join(gpath,filename)
+        matplotlib.pyplot.savefig(save_fig,format='png')
+        self.alpha_location = alpha_location
+
+
+class CelestialObjectsPlot:
+    def __init__(self,jd,dec,tod,maxha_min,show_object=None):
+
+        self.jd = jd
+        self.dec = dec
+        self.tod = tod
+        self.maxha_min = maxha_min
+
+        if show_object==None:show_object=numpy.zeros(4)+2
+        self.show_object = show_object
+
+        self.dcosx_sun = 1
+        self.dcosy_sun = 1
+        self.ha_sun = 1
+        self.time_sun = 1
+
+        self.dcosx_moon = 1
+        self.dcosy_moon = 1
+        self.ha_moon = 1
+        self.time_moon = 1
+
+        self.dcosx_hydra = 1
+        self.dcosy_hydra = 1
+        self.ha_hydra = 1
+        self.time_hydra = 1
+
+        self.dcosx_galaxy = 1
+        self.dcosy_galaxy = 1
+        self.ha_galaxy = 1
+        self.time_galaxy = 1
+
+    def drawObject(self,glat,glon,xg,yg,dcosxrange,dcosyrange,gpath='',filename=''):
+
+        jd = self.jd
+        main_dec = self.dec
+        tod = self.tod
+        maxha_min = self.maxha_min
+
+        mesg = "Drawing celestial objects over Observatory"
+#        print mesg
+#        if textid!=None:textid.append(mesg)
+
+        maxlev = 24; minlev = 0; maxcol = 39; mincol = 10
+        handles = []
+        objects = ['$Sun$','$Moon$','$Hydra$','$Galaxy$']
+        marker = ['--^','--s','--*','--o']
+
+        # Getting RGB table to plot celestial object over Jicamarca
+        colortable = Graphics_Miscens.ColorTable(table=1).readTable()
+
+        for io in (numpy.arange(4)+1):
+            if self.show_object[io]!=0:
+                ObjBodies = Astro_Coords.CelestialBodies()
+                if io==1:
+                    [ra,dec,sunlon,sunobliq] = ObjBodies.sunpos(jd)
+                elif io==2:
+                    [ra,dec,dist,moonlon,moonlat] = ObjBodies.moonpos(jd)
+                elif io==3:
+                    [ra,dec] = ObjBodies.hydrapos()
+                elif io==4:
+                    [maxra,ra] = ObjBodies.skynoise_jro(dec_cut=main_dec)
+                    ra = maxra*15.
+                    dec = main_dec
+
+                ObjEq = Astro_Coords.Equatorial(ra,dec,jd,lat=glat,lon=glon)
+                [alt, az, ha] = ObjEq.change2AltAz()
+                vect = numpy.array([az,alt]).transpose()
+                vect = Misc_Routines.Vector(vect,direction=0).Polar2Rect()
+
+                dcosx = numpy.array(numpy.dot(vect,xg))
+                dcosy = numpy.array(numpy.dot(vect,yg))
+                wrap = numpy.where(ha>=180.)
+                if wrap[0].size>0:ha[wrap] = ha[wrap] - 360.
+
+                val = numpy.where((numpy.abs(ha))<=(maxha_min*0.25))
+                if val[0].size>2:
+                    tod_1 = tod*1.
+                    shift_1 = numpy.where(tod>12.)
+                    tod_1[shift_1] = tod_1[shift_1] - 24.
+                    tod_2 = tod*1.
+                    shift_2 = numpy.where(tod<12.)
+                    tod_2[shift_2] = tod_2[shift_2] + 24.
+
+                    diff0 = numpy.nanmax(tod[val])  -  numpy.nanmin(tod[val])
+                    diff1 = numpy.nanmax(tod_1[val]) - numpy.nanmin(tod_1[val])
+                    diff2 = numpy.nanmax(tod_2[val]) - numpy.nanmin(tod_2[val])
+
+                    if ((diff0<=diff1) & (diff0<=diff2)):
+                        tod_0 = tod
+                    elif ((diff1<diff0) & (diff1<diff2)):
+                        tod_0 = tod_1
+                    else:
+                        tod_0 = tod_2
+
+                    if io==1:
+                        self.dcosx_sun = dcosx[val]
+                        self.dcosy_sun = dcosy[val]
+                        self.ha_sun = ha[val]
+                        self.time_sun = numpy.median(tod_0[val])
+                    elif io==2:
+                        self.dcosx_moon = dcosx[val]
+                        self.dcosy_moon = dcosy[val]
+                        self.ha_moon = ha[val]
+                        self.time_moon = numpy.median(tod_0[val])
+                    elif io==3:
+                        self.dcosx_hydra = dcosx[val]
+                        self.dcosy_hydra = dcosy[val]
+                        self.ha_hydra = ha[val]
+                        self.time_hydra = numpy.mean(tod_0[val])
+                    elif io==4:
+                        self.dcosx_galaxy = dcosx[val]
+                        self.dcosy_galaxy = dcosy[val]
+                        self.ha_galaxy = ha[val]
+                        self.time_galaxy = numpy.mean(tod_0[val])
+
+                    index = numpy.mean(tod_0[val]) - minlev
+                    index = (index*(maxcol - mincol)/(maxlev - minlev)) + mincol
+                    index = numpy.int(index)
+                    figobjects, = matplotlib.pyplot.plot(dcosx[val],dcosy[val],marker[io-1],\
+                      lw=1,ms=7,mew=0,color=tuple(colortable[:,index]))
+                    handles.append(figobjects)
+
+        xmax = numpy.max(dcosxrange[1])
+        xmin = numpy.min(dcosxrange[0])
+        ymax = numpy.max(dcosyrange[1])
+        ymin = numpy.min(dcosyrange[0])
+        matplotlib.pyplot.xlim(xmin,xmax)
+        matplotlib.pyplot.ylim(ymin,ymax)
+
+        val = numpy.where(self.show_object[1:]>0)
+        objects = numpy.array(objects)
+        objects = list(objects[val])
+        try:
+            ObjlegC = matplotlib.pyplot.legend(handles,objects,loc="lower left", numpoints=1, handlelength=0.3, \
+            borderpad=0.3, handletextpad=0.02,labelspacing=0.1)
+        except:
+            ObjlegC = matplotlib.pyplot.legend(handles,objects,loc=[0.01,0.75], numpoints=1, handlelength=0, \
+            pad=0.015, handletextsep=0.02,labelsep=0.01)
+
+        matplotlib.pyplot.setp(ObjlegC.get_texts(),fontsize='small')
+        ObjlegC.isaxes = False
+        save_fig = os.path.join(gpath,filename)
+        matplotlib.pyplot.savefig(save_fig,format='png')
+
+
+class PatternCutPlot:
+    def __init__(self,nsubplots):
+        self.nsubplots = nsubplots
+
+        self.fig = None
+
+        self.__plot_width  = 8
+
+        if self.nsubplots == 5:
+            self.__plot_height = 11
+
+        if self.nsubplots == 4:
+            self.__plot_height = 9
+
+        if self.nsubplots == 3:
+            self.__plot_height = 7
+
+        if self.nsubplots == 2:
+            self.__plot_height = 5
+
+        if self.nsubplots == 1:
+            self.__plot_height = 3
+
+        self.fig = matplotlib.pyplot.figure(num = 4,figsize = (self.__plot_width, self.__plot_height))
+
+        if self.nsubplots < 5:
+            self.__height_inch = 1.1 #altura de los subplots (pulgadas)
+            top_inch = 1.5/2.7 #espacio entre el primer subplot y el limite superior del plot
+            self.__vspace_plot_inch = 1.0#1.5/2 # espacio vertical entre subplots
+            self.__left = 0.1
+        else:
+            self.__height_inch = 1.1 #altura de los subplots (pulgadas)
+            top_inch = 1.5/2.7 #espacio entre el primer subplot y el limite superior del plot
+            self.__vspace_plot_inch = 1.0 # espacio vertical entre subplots
+            self.__left = 0.1
+
+        self.__bottom_inch = self.__plot_height - (self.__height_inch + top_inch)
+        self.__height = self.__height_inch/self.__plot_height
+
+        self.__width = 0.8
+
+
+    def drawCut(self,io,patterns,npatterns,ha,otitle,subtitle,ptitle):
+
+        t_cuts = ['B','Sun','Moon','Hydra','Galaxy']
+        self.__bottom = self.__bottom_inch/self.__plot_height
+
+
+        subp = self.fig.add_axes([self.__left,self.__bottom,self.__width,self.__height])
+
+        on_axis_angle = -4.65562
+        for icut in numpy.arange(npatterns):
+            # Getting Antenna cut.
+            pattern = patterns[icut]
+            power = numpy.abs(pattern/numpy.nanmax(pattern))
+            max_power_db = numpy.round(10.*numpy.log10(numpy.nanmax(pattern)),2)
+
+            bval = numpy.where(power[:,0]==numpy.nanmax(power))
+            beta = -0.25*(ha[bval[0]] + on_axis_angle)
+#            print 'Angle (deg): '+"%f"%(beta)
+
+            subp.plot(ha,power)
+
+
+        xmax = numpy.max(numpy.nanmin(ha))
+        xmin = numpy.min(numpy.nanmax(ha))
+        ymax = numpy.max(1)
+        ymin = numpy.min(0)
+
+
+        subp.set_xlim(xmin, xmax)
+
+        subp.set_ylim(ymin, ymax)
+
+        subp.set_title(otitle + ' ' + ptitle,size="medium")
+
+        subp.text(0.5, 1.26,subtitle[0],
+         horizontalalignment='center',
+         verticalalignment='center',
+         transform = subp.transAxes)
+
+        xlabels = subp.get_xticks()
+
+        subp.set_xticklabels(xlabels,size="small")
+
+        ylabels = subp.get_yticks()
+
+        subp.set_yticklabels(ylabels,size="small")
+
+        subp.set_xlabel('Hour angle (min) (+ve to West)',size="small")
+
+        subp.set_ylabel("Power [Max: " + str(max_power_db) + ' dB]',size="small")
+
+        subp.grid()
+
+
+        self.__bottom_inch = self.__bottom_inch - (self.__height_inch + self.__vspace_plot_inch)
+
+
+class SkyNoisePlot:
+    def __init__(self,date,powr,time,time_lst):
+        """
+        SkyNoisePlot class creates an object which represents the SkyNoise Object to genera-
+        te a SkyNoise map.
+
+        Parameters
+        ----------
+        date = A List of 3 elements to define the desired date ([year, month, day]).
+        powr = An array giving the SkyNoise power for the desired time.
+        time = An array giving the number of seconds since 1970 to the desired time.
+        time_lst = Set this input to an array to define the Local Sidereal Time of the desi-
+          red time.
+
+        Modification History
+        --------------------
+        Created by Freddy Galindo, ROJ, 18 October 2009.
+        """
+
+        self.date = date
+        self.powr = powr
+        self.time = time
+        self.time_lst = time_lst
diff --git a/apps/abs/utils/JroAntSetup.py b/apps/abs/utils/JroAntSetup.py
new file mode 100644
index 0000000..1c98353
--- /dev/null
+++ b/apps/abs/utils/JroAntSetup.py
@@ -0,0 +1,1035 @@
+'''
+The module JroAntSetup contains the pre-defined parameters for beam modelling of the Jicamarca ante-
+nna. Any new configuration must be added in this module (if the user decides  that) using a specific
+ID (pattern value) or it would be read from a file using pattern=None.
+
+MODULES CALLED:
+OS, NUMPY
+    
+MODIFICATION HISTORY:
+Created by Ing. Freddy Galindo (frederickgalindo@gmail.com). ROJ Sep 20, 2009.
+'''
+
+import os
+import numpy
+
+def ReturnSetup(path=None,filename=None,pattern=0):
+    """
+        ReturnSetup is a pre-defined list of  Jicamarca antenna configurations which returns a dic-
+    tionary giving the configuration  parameters (e.g. transmitted phases). To  choose one, the
+    user must define the input "pattern" (See valid values below). 
+    
+    Parameters:
+    -----------
+    
+    pattern = A integer (>=0) to specify the setup to choose. The default value is zero. If the
+      antenna configuration is user-defined pattern must be None.
+    
+    path = Set this input a string to specifiy  the folder path where the user-defined configu-
+      ration file is placed. If this value is not defined ReturnSetup will return None.
+      
+    file = Set this input a string to specifiy the name of the user-defined  configuration file
+      (*.txt). if this value is not defined ReturnSEtup will return None.
+    
+    Examples:
+    ---------
+    
+    Choosing a pre-defined antenna configuration
+    setup = ReturnSetup(pattern=1)
+    
+    Reading a user-defined antenna configuration
+    setup = ReturnSetup(path="/users/users/Progs/Patterns/",file="ExpSep232009.txt")
+    """
+    
+    
+    if pattern == 0:
+        title = "for module (rx)"
+        
+        ues = numpy.array([1.,2.,2.,1.])
+        phase = numpy.zeros([8,8])
+        phase[0:4,:] = 4
+        phase[4:8,:] = 5
+        
+        gaintx = numpy.zeros([8,8])
+        gaintx[0,0] = 1
+
+        gainrx = numpy.zeros([8,8])
+        gainrx[0,0] = 1
+
+        justrx = 1
+    
+    elif pattern==1: 
+        # Configuration 1/16 on-axis (rx)
+        title = " for 1/16 on-axis (rx)"    
+        
+        ues = numpy.array([1.,2.,2.,1.])
+        phase = numpy.zeros([8,8])
+        phase[0:4,:] = 4
+        phase[4:8,:] = 5
+        
+        gaintx = numpy.zeros([8,8])
+        gaintx[0:2,0:2] = 1
+        
+        gainrx = numpy.zeros([8,8])
+        gainrx[0:2,0:2] = 1
+        
+        justrx = 1
+    
+    elif pattern == 2:
+        # Configuration for On-Axis
+        title = " for 1/4 on-axis (rx)"    
+        
+        ues = numpy.array([1.,2.,2.,1.])
+        phase = numpy.zeros([8,8])
+        phase[0:4,:] = 4
+        phase[4:8,:] = 5
+
+        gaintx = numpy.zeros([8,8])
+        gaintx[0:4,0:4] = 1
+        
+        gainrx = numpy.zeros([8,8])
+        gainrx[0:4,0:4] = 1
+        
+        justrx = 1
+    
+    elif pattern == 3:
+        # Configuration for On-Axis
+        title = " for all on-axis (rx)"    
+        
+        ues = numpy.array([1.,2.,2.,1.])
+        phase = numpy.zeros([8,8])
+        phase[0:4,:] = 4
+        phase[4:8,:] = 5
+        
+        gaintx = numpy.zeros([8,8])
+        gaintx[:,:] = 1
+        
+        gainrx = numpy.zeros([8,8])
+        gainrx[:,:] = 1
+        
+        justrx = 0
+
+    elif pattern == 4:
+        # Configuration for oblique ISR On-Axis
+        title = " for Oblique ISR On-axis"    
+        
+        ues = numpy.array([1.,2.,2.,1.])
+        phase = numpy.zeros([8,8])
+        phase[0:4,:] = 4
+        phase[4:8,:] = 5
+        
+        gaintx = numpy.zeros([8,8])
+        gaintx[:,:] = 1
+        
+        gainrx = numpy.zeros([8,8])
+        gainrx[:,:] = 1
+        
+        justrx = 0
+
+    elif pattern == 5:
+        # Configuration for oblique ISR "4.5"
+        title = " for Oblique ISR '4.5'"    
+        
+        ues = numpy.array([1.,2.,2.,1.])
+        phase = numpy.array([[4,4,5,5,2,2,3,3],
+                          [4,5,5,2,2,3,3,4],
+                          [5,5,2,2,3,3,4,4],
+                          [5,2,2,3,3,4,4,5],
+                          [3,3,4,4,5,5,2,2],
+                          [3,4,4,5,5,2,2,3],
+                          [4,4,5,5,2,2,3,3],
+                          [4,5,5,2,2,3,3,4]],dtype=float)
+        
+        gaintx = numpy.zeros([8,8])
+        gaintx[:,:] = 1
+        
+        gainrx = numpy.zeros([8,8])
+        gainrx[:,:] = 1
+        
+        justrx = 0
+
+    elif pattern == 6:
+        # Configuration for oblique ISR "6.0S"
+        title = " for Oblique ISR '6.0S'"    
+
+        ues = numpy.array([1.,2.,2.,1.])
+        phase = numpy.array([[4,5,2,3,4,5,2,3],
+                          [5,2,3,4,5,2,3,4],
+                          [2,3,4,5,2,3,4,5],
+                          [3,4,5,2,3,4,5,2],
+                          [5,2,3,4,5,2,3,4],
+                          [2,3,4,5,2,3,4,5],
+                          [3,4,5,2,3,4,5,2],
+                          [4,5,2,3,4,5,2,3]],dtype=float)
+        
+        gaintx = numpy.zeros([8,8])
+        gaintx[:,:] = 1
+        
+        gainrx = numpy.zeros([8,8])
+        gainrx[:,:] = 1
+        
+        justrx = 0
+
+    elif pattern == 7:
+        # Configuration for oblique ISR "3.0N"
+        title = " for Oblique ISR '3.0N'"    
+        
+        ues = numpy.array([1.,2.,2.,1.])
+        phase = numpy.array([[4,3,2,5,4,3,2,5],
+                          [3,2,5,4,3,2,5,4],
+                          [2,5,4,3,2,5,4,3],
+                          [5,4,3,2,5,4,3,2],
+                          [5,4,3,2,5,4,3,2],
+                          [4,3,2,5,4,3,2,5],
+                          [3,2,5,4,3,2,5,4],
+                          [2,5,4,3,2,5,4,3]],dtype=float)
+        
+        gaintx = numpy.zeros([8,8])
+        gaintx[:,:] = 1
+        
+        gainrx = numpy.zeros([8,8])
+        gainrx[:,:] = 1
+        
+        justrx = 0
+    
+    elif pattern == 8:
+        # Configuration for North Fritts"
+        title = " for North (Fritts)"    
+
+        ues = numpy.array([2.513, 1.0, 3.0, 0.413])
+        phase = numpy.array([[4.29, 3.55, 2.82, 2.08, 4.20, 3.47, 2.73, 2.00],
+                          [2.94, 2.20, 5.44, 4.70, 4.32, 3.59, 2.85, 2.12],
+                          [5.56, 4.82, 4.09, 3.35, 4.44, 3.71, 2.97, 2.24],
+                          [4.20, 3.47, 2.73, 2.00, 4.56, 3.82, 3.09, 2.35],
+                          [4.20, 3.47, 2.73, 2.00, 4.56, 3.82, 3.09, 2.35],
+                          [4.32, 3.59, 2.85, 2.12, 2.94, 2.20, 5.44, 4.70],
+                          [4.44, 3.71, 2.97, 2.24, 5.56, 4.82, 4.09, 3.35],
+                          [4.56, 3.82, 3.09, 2.35, 4.20, 3.47, 2.73, 2.00]],dtype=float)
+        
+        gaintx = numpy.zeros([8,8])
+        gaintx[0:4,0:4] = 1
+        gaintx[4:8,4:8] = 1
+        
+        gainrx = numpy.zeros([8,8])
+        gainrx[0:4,0:4] = 1
+        gainrx[4:8,4:8] = 1
+        
+        justrx = 0
+
+    elif pattern == 9:
+        # Configuration for West Fritts"
+        title = " for West (Fritts)"    
+
+        ues = numpy.array([2.513, 1.0, 3.0, 0.413])
+        phase = numpy.array([[4.29, 3.55, 2.82, 2.08, 4.20, 3.47, 2.73, 2.00],
+                          [2.94, 2.20, 5.44, 4.70, 4.32, 3.59, 2.85, 2.12],
+                          [5.56, 4.82, 4.09, 3.35, 4.44, 3.71, 2.97, 2.24],
+                          [4.20, 3.47, 2.73, 2.00, 4.56, 3.82, 3.09, 2.35],
+                          [4.20, 3.47, 2.73, 2.00, 4.56, 3.82, 3.09, 2.35],
+                          [4.32, 3.59, 2.85, 2.12, 2.94, 2.20, 5.44, 4.70],
+                          [4.44, 3.71, 2.97, 2.24, 5.56, 4.82, 4.09, 3.35],
+                          [4.56, 3.82, 3.09, 2.35, 4.20, 3.47, 2.73, 2.00]],dtype=float)
+        
+        gaintx = numpy.zeros([8,8])
+        gaintx[4:8,0:4] = 1
+        gaintx[4:8,0:4] = 1
+
+        gainrx = numpy.zeros([8,8])
+        gainrx[4:8,0:4] = 1
+        gainrx[4:8,0:4] = 1
+
+        justrx = 0
+
+    elif pattern == 10:
+        # Configuration for South Fritts"
+        title = " for South (Fritts)"    
+
+        ues = numpy.array([0.413, 2.0, 1.0, 1.513])
+        phase = numpy.array([[2.0 , 2.73, 3.47, 4.2 , 2.08, 2.82, 3.55, 4.29],
+                          [2.12, 2.85, 3.59, 4.32, 4.7 , 5.44, 2.20, 2.94],
+                          [2.24, 2.97, 3.71, 4.44, 3.35, 4.09, 4.82, 5.56],
+                          [2.35, 3.09, 3.82, 4.56, 2.0 , 2.73, 3.47, 4.20],
+                          [2.08, 2.82, 3.55, 4.29, 2.0 , 2.73, 3.47, 4.20],
+                          [4.70, 5.44, 2.20, 2.94, 2.12, 2.85, 3.59, 4.32],
+                          [3.35, 4.09, 4.82, 5.56, 2.24, 2.97, 3.71, 4.44],
+                          [2.00, 2.73, 3.47, 4.20, 2.35, 3.09, 3.82, 4.56]],dtype=float)
+
+        gaintx = numpy.zeros([8,8])
+        gaintx[0:4,0:4] = 1
+        gaintx[4:8,4:8] = 1
+
+        gainrx = numpy.zeros([8,8])
+        gainrx[0:4,0:4] = 1
+        gainrx[4:8,4:8] = 1
+
+        justrx = 0
+
+    elif pattern == 11:
+        # Configuration for East Fritts"
+        title = " for East (Fritts)"    
+
+        ues = numpy.array([0.413, 2.0, 1.0, 1.513])
+        phase = numpy.array([[2.0 , 2.73, 3.47, 4.2 , 2.08, 2.82, 3.55, 4.29],
+                          [2.12, 2.85, 3.59, 4.32, 4.7 , 5.44, 2.20, 2.94],
+                          [2.24, 2.97, 3.71, 4.44, 3.35, 4.09, 4.82, 5.56],
+                          [2.35, 3.09, 3.82, 4.56, 2.0 , 2.73, 3.47, 4.20],
+                          [2.08, 2.82, 3.55, 4.29, 2.0 , 2.73, 3.47, 4.20],
+                          [4.70, 5.44, 2.20, 2.94, 2.12, 2.85, 3.59, 4.32],
+                          [3.35, 4.09, 4.82, 5.56, 2.24, 2.97, 3.71, 4.44],
+                          [2.00, 2.73, 3.47, 4.20, 2.35, 3.09, 3.82, 4.56]],dtype=float)
+        
+        gaintx = numpy.zeros([8,8])
+        gaintx[4:8,0:4] = 1
+        gaintx[4:8,0:4] = 1
+
+        gainrx = numpy.zeros([8,8])
+        gainrx[4:8,0:4] = 1
+        gainrx[4:8,0:4] = 1
+
+        justrx = 0
+
+    elif pattern == 12:
+        # Configuration for DEWD position (2009)
+        title = " for DEWD position (2009) East Beam"    
+        
+        ues = numpy.array([0.,0.,0.75,0.75])
+        phase = numpy.array([[2,3,3,3,3,4,4,4],
+                          [5,2,2,2,2,3,3,3],
+                          [3,4,4,4,4,5,5,5],
+                          [2,3,3,3,3,4,4,4], 
+                          [4,5,5,5,5,2,2,2],
+                           [3,4,4,4,4,5,5,5],
+                            [5,2,2,2,2,3,3,3],
+                           [4,5,5,5,5,2,2,2]],dtype=float)
+        
+        gaintx = numpy.zeros([8,8])
+        gaintx[:,:] = 1
+        
+        gainrx = numpy.zeros([8,8])
+        gainrx[:,0:4] = 1
+        
+        justrx = 0
+    
+    elif pattern == 13:
+        # Configuration for DEWD position (2009)
+        title = " for DEWD position (2009) West Beam"    
+        
+        ues = numpy.array([1.0,0.5,1.5,2.0])
+        phase = numpy.array([[5,4,2,5,3,2,4,3],
+                          [2,5,3,2,4,3,5,4],
+                          [2,5,3,2,4,3,5,4],
+                          [3,2,4,3,5,4,2,5],
+                          [3,2,4,3,5,4,2,5],
+                          [4,3,5,4,2,5,3,2],  
+                          [4,3,5,4,2,5,3,2],
+                          [5,4,2,5,3,2,4,3]],dtype=float)
+
+        gaintx = numpy.zeros([8,8])
+        gaintx[:,:] = 1
+        
+        gainrx = numpy.zeros([8,8])
+        gainrx[4:8,:] = 1
+        
+        justrx = 0
+
+    elif pattern == 14:
+        # Configuration for DVD position (2009)
+        title = " for DVD position (2009)"    
+        
+        ues = numpy.array([1.0,2.0,2.0,1.25])
+        phase = numpy.array([[2,2,5,5,4,4,3,3],
+                          [2,5,5,4,4,3,3,2],
+                          [5,5,4,4,3,3,2,2],
+                             [5,4,4,3,3,2,2,5],
+                             [5,5,4,4,3,3,2,2],
+                          [5,4,4,3,3,2,2,5],  
+                          [4,4,3,3,2,2,5,5],
+                          [4,3,3,2,2,5,5,4]],dtype=float)
+
+        gaintx = numpy.zeros([8,8])
+        gaintx[:,:] = 1
+        
+        gainrx = numpy.zeros([8,8])
+        gainrx[0:4,0:4] = 1
+
+        justrx = 0
+
+    elif pattern == 15:
+        # Configuration for Julia CP2
+        title = " for Julia CP2 Ew"    
+        
+        ues = numpy.array([0.0,1.0,1.0,0.0])
+        phase = numpy.array([[2,2,5,4,3,3,2,5],
+                          [2,5,4,4,3,2,5,5],
+                          [5,4,3,3,2,5,4,4],
+                          [4,4,3,2,5,5,4,3],
+                          [4,4,3,2,5,5,4,3],
+                          [4,3,2,2,5,4,3,3],
+                          [3,2,5,5,4,3,2,2],
+                          [2,2,5,4,3,3,2,5]],dtype=float)
+
+        gaintx = numpy.zeros([8,8])
+        gaintx[0:4,4:8] = 1
+        gaintx[4:8,0:4] = 1
+
+        gainrx = numpy.zeros([8,8])
+        gainrx[0,0] = 1
+
+        justrx = 0
+    
+    elif pattern == 16:
+        # Configuration for Julia CP2
+        title = " for Julia CP2 NS"    
+        
+        ues = numpy.array([1.0,2.0,2.0,1.0])
+        phase = numpy.array([[4,4,3,2,5,5,4,3],
+                          [4,3,2,2,5,4,3,3],
+                          [3,2,5,5,4,3,2,2],
+                          [2,2,5,4,3,3,2,5],
+                          [2,2,5,4,3,3,2,5],
+                          [2,5,4,4,3,2,5,5],
+                          [5,4,3,3,2,5,4,4],
+                          [4,4,3,2,5,5,4,3]],dtype=float)
+        
+        gaintx = numpy.zeros([8,8])
+        gaintx[0:4,0:4] = 1
+        gaintx[4:8,4:8] = 1
+        
+        gainrx = numpy.zeros([8,8])
+        gainrx[0:4,0:4] = 1
+
+        justrx = 0
+
+    elif pattern == 17:
+        # Configuration for Julia CP3
+        title = " for Julia CP3 NS"    
+        
+        ues = numpy.array([1.0,1.0,1.0,1.0])
+        phase = numpy.array([[4,4,3,2,5,5,4,3],
+                          [4,3,2,2,5,4,3,3],
+                          [3,2,5,5,4,3,2,2],
+                          [2,2,5,4,3,3,2,5],
+                          [2,2,5,4,3,3,2,5],
+                          [2,5,4,4,3,2,5,5],
+                          [5,4,3,3,2,5,4,4],
+                          [4,4,3,2,5,5,4,3]],dtype=float)
+        
+        gaintx = numpy.zeros([8,8])
+        gaintx[0:4,0:4] = 1
+        gaintx[4:8,4:8] = 1
+        
+        gainrx = numpy.zeros([8,8])
+        gainrx[0:4,0:4] = 1
+
+        justrx = 0
+
+    elif pattern == 18:
+        # Configuration for Julia V
+        title = " for Julia V"    
+        
+        ues = (2/3.)*numpy.array([1.5,3.0+0.75,3.0,1.5-0.75])
+        phase = numpy.array([[4,4,3,3,2,2,5,5],
+                          [4,3,3,2,2,5,5,4],
+                          [3,3,2,2,5,5,4,4],
+                          [3,2,2,5,5,4,4,3],
+                            [3,3,2,2,5,5,4,4],
+                             [3,2,2,5,5,4,4,3],
+                          [2,2,5,5,4,4,3,3],
+                          [2,5,5,4,4,3,3,2]],dtype=float)
+
+        gaintx = numpy.zeros([8,8])
+        gaintx[0:4,0:4] = 1
+        gaintx[4:8,4:8] = 1
+        
+        gainrx = numpy.zeros([8,8])
+        gainrx[0:4,0:4] = 1
+
+        justrx = 0
+
+    elif pattern == 19:
+        # Configuration for Julia V
+        title = " for Julia EW 2006-2007 (W)"    
+        
+        ues = numpy.array([1.0+0.66,2.0+0.66,2.0,1.0])
+        phase = numpy.array([[4,3,2,5,4,3,2,5],
+                          [4,3,2,5,4,3,2,5],
+                          [4,3,2,5,4,3,2,5],
+                          [4,3,2,5,4,3,2,5],
+                          [5,4,3,2,5,4,3,2],
+                          [5,4,3,2,5,4,3,2],
+                            [5,4,3,2,5,4,3,2],
+                          [5,4,3,2,5,4,3,2]],dtype=float)
+
+        gaintx = numpy.zeros([8,8])
+        gaintx[:,:] = 1
+        
+        gainrx = numpy.zeros([8,8])
+        gainrx[:,:] = 1
+
+        justrx = 0
+
+    elif pattern == 20:
+        # Configuration for Julia V
+        title = " for Julia EW 2006-2007 (E)"    
+        
+        ues = numpy.array([1.0,1.0,1.0,1.0])
+        phase = numpy.array([[4,4,4,4,5,5,5,5],
+                          [3,3,3,3,4,4,4,4],
+                          [5,5,5,5,2,2,2,2],
+                          [4,4,4,4,5,5,5,5],
+                          [2,2,2,2,3,3,3,3],
+                          [5,5,5,5,2,2,2,2],
+                          [3,3,3,3,4,4,4,4],
+                          [2,2,2,2,3,3,3,3]],dtype=float)
+
+        gaintx = numpy.zeros([8,8])
+        gaintx[:,:] = 1
+
+        gainrx = numpy.zeros([8,8])
+        gainrx[0:4,0:4] = 1
+        gainrx[4:8,4:8] = 1
+
+        justrx = 0
+    
+    elif pattern == 21:
+        # Configuration for EW Imaging 1996
+        title = " for EW Imaging 1996"    
+        
+        ues = numpy.array([1.0,2.0,2.0,1.0])
+        phase = numpy.array([[4,4,3,2,5,5,4,3],
+                          [4,3,2,2,5,4,3,3],
+                             [3,2,5,5,4,3,2,2],
+                          [2,2,5,4,3,3,2,5],
+                          [2,2,5,4,3,3,2,5],
+                          [2,5,4,4,3,2,5,5],
+                          [5,4,3,3,2,5,4,4],
+                          [4,4,3,2,5,5,4,3]],dtype=float)
+
+        gaintx = numpy.zeros([8,8])
+        gaintx[0:4,0:4] = 1
+        gaintx[4:8,4:8] = 1
+        
+        gainrx = numpy.zeros([8,8])
+        gainrx[0,0] = 1
+
+        justrx = 0
+
+    elif pattern == 22:
+        # Configuration for EW Imaging 2003
+        title = " for EW Imaging 2003"    
+
+        ues = numpy.array([1.0,1.0,1.0,1.0])
+        phase = numpy.array([[4,4,3,2,0,0,0,0],
+                          [2,3,2,2,0,0,0,0],
+                             [5,0,2,5,0,0,0,0],
+                          [2,4,3,4,0,0,0,0],
+                          [0,0,0,0,3,3,2,5],
+                          [0,0,0,0,2,2,5,5],
+                          [0,0,0,0,4,3,5,4],
+                          [0,0,0,0,5,3,2,3]],dtype=float)
+
+        gaintx = numpy.zeros([8,8])
+        gaintx[0:4,0:4] = 1
+        gaintx[4:8,4:8] = 1
+        
+        gainrx = numpy.zeros([8,8])
+        gainrx[0,0] = 1
+
+        justrx = 0
+
+    elif pattern == 23:
+        # Configuration for EW Imaging 2003
+        title = " for EW Imaging 2006-2008"    
+        
+        ues = numpy.array([1.0,1.0,1.0,2.0])
+        phase = numpy.array([[4,4,3,2,0,0,0,0],
+                          [2,3,2,2,0,0,0,0],
+                             [5,0,2,5,0,0,0,0],
+                          [2,4,3,4,0,0,0,0],
+                          [0,0,0,0,3,3,2,5],
+                          [0,0,0,0,2,2,5,5],
+                          [0,0,0,0,4,3,5,4],
+                          [0,0,0,0,5,3,2,3]],dtype=float)
+
+        gaintx = numpy.zeros([8,8])
+        gaintx[0:4,0:4] = 1
+        gaintx[4:8,4:8] = 1
+        
+        gainrx = numpy.zeros([8,8])
+        gainrx[0,0] = 1
+
+        justrx = 0
+
+    elif pattern == 50:
+        # Configuration for vertical drift 1996
+        title = " for Vertical drift 1996"    
+        
+        ues = (2/3.)*numpy.array([0.,1.5,1.5,0.])
+        phase = numpy.array([[4,4,3,2,5,5,4,3],
+                          [4,3,2,2,5,4,3,3],
+                          [3,2,5,5,4,3,2,2],
+                          [2,2,5,4,3,3,2,5],
+                          [2,2,5,4,3,3,2,5],
+                          [2,5,4,4,3,2,5,5],
+                          [5,4,3,3,2,5,4,4],
+                          [4,4,3,2,5,5,4,3]],dtype=float)
+
+        gaintx = numpy.zeros([8,8])
+        gaintx[:,:] = 1
+        
+        gainrx = numpy.zeros([8,8])
+        gainrx[:,:] = 1
+
+        justrx = 0
+    
+    elif pattern == 51:
+        # Configuration for vertical drift 1996
+        title = " for East-West Drifts 1996 (W beam)"    
+        
+        ues = numpy.array([0.0,1.0,2.0,1.0])
+        phase = numpy.array([[4,3,5,4,2,5,3,2],
+                          [4,3,5,4,2,5,3,2],
+                          [4,3,5,4,2,5,3,2],
+                          [4,3,5,4,2,5,3,2],
+                          [5,4,2,5,3,2,4,3],
+                          [5,4,2,5,3,2,4,3],
+                          [5,4,2,5,3,2,4,3],
+                          [5,4,2,5,3,2,4,3]],dtype=float)
+
+        gaintx = numpy.zeros([8,8])
+        gaintx[:,:] = 1
+        
+        gainrx = numpy.zeros([8,8])
+        gainrx[4:8,:] = 1
+
+        justrx = 0
+
+    elif pattern == 52:
+        # Configuration for vertical drift 1996
+        title = " for East-West Drifts 1996 (E Beam)"    
+        
+        ues = numpy.array([1.0,1.0,0.0,0.0])
+        phase = numpy.array([[4,4,4,4,5,5,5,5],
+                          [3,3,3,3,4,4,4,4],
+                          [5,5,5,5,2,2,2,2],
+                          [4,4,4,4,5,5,5,5],
+                          [2,2,2,2,3,3,3,3],
+                          [5,5,5,5,2,2,2,2],
+                          [3,3,3,3,4,4,4,4],
+                          [2,2,2,2,3,3,3,3]],dtype=float)
+
+        gaintx = numpy.zeros([8,8])
+        gaintx[:,:] = 1
+        
+        gainrx = numpy.zeros([8,8])
+        gainrx[:,0:4] = 1
+
+        justrx = 0
+
+    elif pattern == 53:
+        # Configuration for vertical drift 1996
+        title = " for DVD position 3 (2006-2008)"    
+        
+        ues = numpy.array([1.,2,2,1])
+        phase = numpy.array([[4,4,3,3,2,2,5,5],
+                          [4,3,3,2,2,5,5,4],
+                          [3,3,2,2,5,5,4,4],
+                          [3,2,2,5,5,4,4,3],
+                          [3,3,2,2,5,5,4,4],
+                          [3,2,2,5,5,4,4,3],
+                          [2,2,5,5,4,4,3,3],
+                          [2,5,5,4,4,3,3,2]],dtype=float)
+
+        gaintx = numpy.zeros([8,8])
+        gaintx[:,:] = 1
+        
+        gainrx = numpy.zeros([8,8])
+        gainrx[0:4,4:8] = 1
+
+        justrx = 0
+
+    elif pattern == 54:
+        # Configuration for vertical drift 1996
+        title = " for DEWD (Mar 2005)"    
+        
+        ues = numpy.array([0.,1.,1/3.,1])
+        phase = numpy.array([[4,3,2,5,3,3,3,3],
+                          [4,3,2,5,2,2,2,2],
+                          [4,3,2,4,5,5,5,5],
+                          [4,3,2,4,4,4,3,3],
+                          [5,4,3,2,2,2,2,2],
+                          [5,4,3,2,5,5,5,5],
+                          [5,4,3,5,4,4,4,4],
+                          [5,4,3,5,3,3,2,2]],dtype=float)
+
+        gaintx = numpy.zeros([8,8])
+        gaintx[:,:] = 1
+        
+        gainrx = numpy.zeros([8,8])
+        gainrx[:,0:4] = 1
+
+        justrx = 0
+    
+    elif pattern == 55:
+        # Configuration for vertical drift 1996
+        title = " for DEWD (Mar 2005)"    
+        
+        ues = numpy.array([0.,1.,1/3.,1])
+        phase = numpy.array([[4,3,2,5,3,3,3,3],
+                          [4,3,2,5,2,2,2,2],
+                          [4,3,2,4,5,5,5,5],
+                          [4,3,2,4,4,4,3,3],
+                          [5,4,3,2,2,2,2,2],
+                          [5,4,3,2,5,5,5,5],
+                          [5,4,3,5,4,4,4,4],
+                          [5,4,3,5,3,3,2,2]],dtype=float)
+
+        gaintx = numpy.zeros([8,8])
+        gaintx[:,:] = 1
+        
+        gainrx = numpy.zeros([8,8])
+        gainrx[0:4:,4:8] = 1
+
+        justrx = 0
+
+    elif pattern ==56:
+        # Configuration using antenna compression
+        title = " for antenna compression AA*"
+        
+        ues = numpy.array([0.0,0.0,0.0,0.0])
+        phase = numpy.array([[4,4,4,2,4,4,2,4],
+                          [4,4,4,2,4,4,2,4],
+                          [2,2,2,4,2,2,4,2],
+                          [4,4,4,2,4,4,2,4],
+                          [2,2,2,4,2,2,4,2],
+                          [2,2,2,4,2,2,4,2],
+                          [4,4,4,2,4,4,2,4],
+                          [2,2,2,4,2,2,4,2]],dtype=float)
+
+        gaintx = numpy.zeros([8,8])
+        gaintx[:,:] = 1
+        
+        gainrx = numpy.zeros([8,8])
+        gainrx[0:4,0:4] = 1
+
+        justrx = 0
+
+    elif pattern ==57:
+        # Configuration using antenna compression
+        title = " for antenna compression AB*"
+        
+        ues = numpy.array([0.0,0.0,0.0,0.0])
+        phase = numpy.array([[4,4,2,4,2,2,4,2],
+                          [4,4,2,4,2,2,4,2],
+                          [2,2,4,2,4,4,2,4],
+                          [4,4,2,4,2,2,4,2],
+                          [2,2,4,2,4,4,2,4],
+                          [2,2,4,2,4,4,2,4],
+                          [4,4,2,4,2,2,4,2],
+                          [2,2,4,2,4,4,2,4]],dtype=float)
+
+        gaintx = numpy.zeros([8,8])
+        gaintx[:,:] = 1
+        
+        gainrx = numpy.zeros([8,8])
+        gainrx[0:4,0:4] = 1
+
+        justrx = 0
+
+    elif pattern ==58:
+        # Configuration using in Oblique ISR 4.5
+        title = " for Oblique ISR 4.5"
+        
+        ues = numpy.array([1.0,2.0,2.0,1.0])
+        phase = numpy.array([[4,4,5,5,2,2,3,3],
+                          [4,5,5,2,2,3,3,4],
+                          [5,5,2,2,3,3,4,4],
+                          [5,2,2,3,3,4,4,5],
+                          [3,3,4,4,5,5,2,2],
+                          [3,4,4,5,5,2,2,3],
+                          [4,4,5,5,2,2,3,3],
+                          [4,5,5,2,2,3,3,4]],dtype=float)
+
+        gaintx = numpy.zeros([8,8])
+        gaintx[:,:] = 1
+        
+        gainrx = numpy.zeros([8,8])
+        gainrx[:,:] = 1
+
+        justrx = 1
+    
+    elif pattern == 60:
+        title=" for Differential phase 2000"
+        ues = (2/3.)*numpy.array([0.,1.5-0.5,1.5,0.+0.5])
+        
+        phase = numpy.array([[4,4,3,2,5,5,4,3],
+                          [4,3,2,2,5,4,3,3],
+                          [3,2,5,5,4,3,2,2],
+                          [2,2,5,4,3,3,2,5],
+                          [2,2,5,4,3,3,2,5],
+                          [2,5,4,4,3,2,5,5],
+                          [5,4,3,3,2,5,4,4],
+                          [4,4,3,2,5,5,4,3]],dtype=float)
+        
+        gaintx = numpy.zeros([8,8])
+        gaintx[:,:] = 1
+        
+        gainrx = numpy.zeros([8,8])
+        gainrx[0:4,0:4] = 1
+        
+        justrx = 0
+    
+    elif pattern == 61:
+        #for East-West 2003 W
+        title=" for East-West 2003"
+        
+        ues = numpy.array([1.+0.66,2.+0.66,2.,1.]) 
+        
+        phase = numpy.array([[4,3,2,5,4,3,2,5],
+                            [4,3,2,5,4,3,2,5],
+                            [4,3,2,5,4,3,2,5],
+                            [4,3,2,5,4,3,2,5],
+                            [5,4,3,2,5,4,3,2],
+                            [5,4,3,2,5,4,3,2],
+                            [5,4,3,2,5,4,3,2],
+                            [5,4,3,2,5,4,3,2]],dtype=float)
+        
+        gaintx = numpy.zeros([8,8])
+        gaintx[:,:] = 1
+        
+        gainrx = numpy.zeros([8,8])
+        gainrx[4:8,:] = 1
+        
+        justrx = 0
+    
+    elif pattern == 62:
+        #for East-West 2003 E
+        title=" for East-West 2003"
+        
+        ues = numpy.array([1.,1.,0.+1.0,0.+1.0])
+        
+        phase = numpy.array([[4,4,4,4,5,5,5,5],
+                             [3,3,3,3,4,4,4,4],
+                             [5,5,5,5,2,2,2,2],
+                             [4,4,4,4,5,5,5,5],
+                             [2,2,2,2,3,3,3,3],
+                             [5,5,5,5,2,2,2,2],
+                             [3,3,3,3,4,4,4,4],
+                             [2,2,2,2,3,3,3,3]],dtype=float)
+
+        gaintx = numpy.zeros([8,8])
+        gaintx[:,:] = 1
+        
+        gainrx = numpy.zeros([8,8])
+        gainrx[:,0:4] = 1
+        
+        justrx = 0
+    
+    elif pattern == 63:
+        
+        title=" for Differential phase 2004 High Alt."
+        
+        ues = (2/3.)*numpy.array([0.,1.5-1.0,1.5,0.+1.0])
+        
+        phase = numpy.array([[4,4,3,2,5,5,4,3],
+                             [4,3,2,2,5,4,3,3],
+                             [3,2,5,5,4,3,2,2],
+                             [2,2,5,4,3,3,2,5],
+                             [2,2,5,4,3,3,2,5],
+                             [2,5,4,4,3,2,5,5],
+                             [5,4,3,3,2,5,4,4],
+                             [4,4,3,2,5,5,4,3]],dtype=float)
+
+        gaintx = numpy.zeros([8,8])
+        gaintx[:,:] = 1
+        
+        gainrx = numpy.zeros([8,8])
+        gainrx[:,:] = 1
+        
+        justrx = 0
+    
+    elif pattern == 64:
+        
+        title=" for Differential Phase Perp to B 2005-2006"
+        
+        ues = (2/3.)*numpy.array([1.5,3.0+0.75,3.0,1.5-0.75])
+        
+        phase = numpy.array([[4,4,3,3,2,2,5,5],
+                             [4,3,3,2,2,5,5,4],
+                             [3,3,2,2,5,5,4,4],
+                             [3,2,2,5,5,4,4,3],
+                             [3,3,2,2,5,5,4,4],
+                             [3,2,2,5,5,4,4,3],
+                             [2,2,5,5,4,4,3,3],
+                             [2,5,5,4,4,3,3,2]],dtype=float)
+
+        gaintx = numpy.zeros([8,8])
+        gaintx[:,:] = 1
+        
+        gainrx = numpy.zeros([8,8])
+        gainrx[0:4,4:8] = 1
+        
+        justrx = 0
+    
+    elif pattern == 65:
+        #for JULIA EW 2003 W
+        title=" for JULIA EW 2003"
+        
+        ues = numpy.array([1+0.66,2+0.66,2.,1.])
+        
+        phase = numpy.array([[4,3,2,5,4,3,2,5],
+                             [4,3,2,5,4,3,2,5],
+                             [4,3,2,5,4,3,2,5],
+                             [4,3,2,5,4,3,2,5],
+                             [5,4,3,2,5,4,3,2],
+                             [5,4,3,2,5,4,3,2],
+                             [5,4,3,2,5,4,3,2],
+                             [5,4,3,2,5,4,3,2]],dtype=float)
+
+        gaintx = numpy.zeros([8,8])
+        gaintx[:,:] = 1
+        
+        gainrx = numpy.zeros([8,8])
+        gainrx[4:8,:] = 1
+        
+        justrx = 0
+    
+    elif pattern == 66:
+        #for JULIA EW 2003 E
+        title=" for JULIA EW 2003"
+        
+        ues = numpy.array([1.,1.,0.,0.])
+        
+        phase = numpy.array([[4,4,4,4,5,5,5,5],
+                             [3,3,3,3,4,4,4,4],
+                             [5,5,5,5,2,2,2,2],
+                             [4,4,4,4,5,5,5,5],
+                             [2,2,2,2,3,3,3,3],
+                             [5,5,5,5,2,2,2,2],
+                             [3,3,3,3,4,4,4,4],
+                             [2,2,2,2,3,3,3,3]],dtype=float)
+
+        gaintx = numpy.zeros([8,8])
+        gaintx[:,:] = 1
+        
+        gainrx = numpy.zeros([8,8])
+        gainrx[:,0:4] = 1
+        
+        justrx = 0
+    
+    elif pattern == 67:
+        
+        title=" for Vertical (Yellow Cables)"
+        
+        ues = numpy.array([0.25, 0.25, 0.25, 0.25])
+        
+        phase = numpy.array([[3.41, 3.41, 3.41, 3.41, 3.41, 3.41, 3.41, 3.41],
+                             [2.78, 2.78, 2.78, 2.78, 2.78, 2.78, 2.78, 2.78],
+                             [2.15, 2.15, 2.15, 2.15, 2.15, 2.15, 2.15, 2.15],
+                             [5.52, 5.52, 5.52, 5.52, 5.52, 5.52, 5.52, 5.52],
+                             [4.89, 4.89, 4.89, 4.89, 4.89, 4.89, 4.89, 4.89],
+                             [4.26, 4.26, 4.26, 4.26, 4.26, 4.26, 4.26, 4.26],
+                             [3.63, 3.63, 3.63, 3.63, 3.63, 3.63, 3.63, 3.63],
+                             [3.00, 3.00, 3.00, 3.00, 3.00, 3.00, 3.00, 3.00]],dtype=float)
+
+        gaintx = numpy.zeros([8,8])
+        gaintx[:,:] = 1
+        
+        gainrx = numpy.zeros([8,8])
+        gainrx[:,:] = 1
+        
+        justrx = 0
+    
+    elif pattern == 100:
+        
+        title=" for High Altitude Drift"
+        
+        ues = numpy.array([ 2.0,0.8,1.0,2.2])
+        
+        phase = numpy.array([[5,5,4,4, 4,4,3,3],
+                [5,4,4,4, 4,3,3,3],
+                [4,4,4,4, 3,3,3,3],
+                [4,4,4,3, 3,3,3,2],
+                [3,3,2,2, 2,2,5,5],
+                [3,2,2,2, 2,5,5,5],
+                [2,2,2,2, 5,5,5,5],
+                [2,2,2,5, 5,5,5,4]],dtype=float)
+        
+        gaintx = numpy.zeros([8,8])
+        gaintx[:,:] = 1
+        
+        gainrx = numpy.zeros([8,8])
+        gainrx[:,:] = 1
+        
+        justrx = 0
+        
+    
+    elif pattern==None:
+        
+        inputs = numpy.array(["title","ues_tx","phase_tx","gain_tx","gain_rx","just_rx"])
+
+        # Reading user-defined configuration.
+        if path==None:path = os.getcwd() + os.sep + "patterns" + os.sep
+        if filename==None:filename = "jropattern.txt"
+        
+        ff = open(os.path.join(path,filename),'r')
+        
+        while  1:
+            # Checking EOF.
+            init = ff.tell()
+            if not ff.readline():break
+            else:ff.seek(init)
+
+            line = ff.readline().lstrip()
+            if line.__len__()!=0:
+                if line[0]!='#':                    
+                    keys = line.split("=")
+                    key = keys[0].lstrip().rstrip().lower()
+                    vv = numpy.where(inputs==key)
+                    if vv[0][0]==0:
+                        title = keys[1].lstrip().rstrip()
+                    elif vv[0][0]==1:
+                        ues = (keys[1].lstrip().rstrip())
+                        ues = numpy.float32(ues[1:-1].split(","))
+                    elif vv[0][0]==2:
+                        phase = numpy.zeros([8,8])
+                        tx = (keys[1].lstrip().rstrip())
+                        tx = numpy.float32(tx[2:-3].split(","))
+                        phase[0,:] = tx
+                        for ii in numpy.arange(7):
+                            tx = ff.readline().lstrip().rstrip()
+                            tx = numpy.float32(tx[1:-3+(ii==6)].split(","))
+                            phase[ii+1,:] = tx
+                    elif vv[0][0]==3:
+                        gaintx = numpy.zeros([8,8])
+                        gg = (keys[1].lstrip().rstrip())
+                        gg = numpy.float32(gg[2:-3].split(","))
+                        gaintx[0,:] = gg
+                        for ii in numpy.arange(7):
+                            gg = ff.readline().lstrip().rstrip()
+                            gg = numpy.float32(gg[1:-3+(ii==6)].split(","))
+                            gaintx[ii+1,:] = gg
+                    elif vv[0][0]==4:
+                        gainrx = numpy.zeros([8,8])
+                        gg = (keys[1].lstrip().rstrip())
+                        gg = numpy.float32(gg[2:-3].split(","))
+                        gainrx[0,:] = gg
+                        for ii in numpy.arange(7):
+                            gg = ff.readline().lstrip().rstrip()
+                            gg = numpy.float32(gg[1:-3+(ii==6)].split(","))
+                            gainrx[ii+1,:] = gg
+                    elif vv[0][0]==5:
+                        justrx = numpy.float(keys[1].lstrip().rstrip())
+        
+        ff.close()
+    
+    
+    
+    setup = {"ues":ues, "phase":phase, "gaintx":gaintx, "gainrx":gainrx, "justrx":justrx, \
+     "title":title}
+    
+    return setup
+    
+    
+        
+    
\ No newline at end of file
diff --git a/apps/abs/utils/Misc_Routines.py b/apps/abs/utils/Misc_Routines.py
new file mode 100644
index 0000000..886cbb1
--- /dev/null
+++ b/apps/abs/utils/Misc_Routines.py
@@ -0,0 +1,81 @@
+""" 
+The module MISC_ROUTINES gathers  classes and  functions which  are useful for daily processing. As an
+example we have conversion factor or universal constants.
+
+MODULES CALLED:
+NUMPY, SYS
+
+MODIFICATION HISTORY:
+Created by Ing. Freddy Galindo (frederickgalindo@gmail.com). ROJ, 21 October 2009.
+"""
+
+import numpy
+import sys
+
+class CoFactors():
+    """
+    CoFactor class used to call pre-defined conversion factor (e.g. degree to radian).  The cu-
+    The current available factor are:
+       
+    d2r = degree to radian.
+    s2r = seconds to radian?, degree to arcsecond.?
+    h2r = hour to radian. 
+    h2d = hour to degree
+    """
+    
+    d2r = numpy.pi/180.
+    s2r = numpy.pi/(180.*3600.)
+    h2r = numpy.pi/12.
+    h2d = 15.
+    
+class Redirect:
+    def __init__(self,stdout):
+        self.stdout = stdout
+    
+    def write(self,message):
+        self.stdout.insertPlainText(message)
+
+class WidgetPrint:
+    """
+    WidgetPrint class allows to define the standard output.  
+    """
+    def __init__(self,textid=None):
+        self.__stdout = sys.stdout
+        self.textid = textid
+        self.wPrint()
+        
+    def wPrint(self):
+        if self.textid == None: sys.stdout = self.__stdout
+        if self.textid != None: sys.stdout = Redirect(self.textid)
+        print ("")
+    
+class Vector:
+    """
+    direction = 0 Polar to rectangular; direction=1 rectangular to polar
+    """
+    def __init__(self,vect,direction=0):
+        nsize = numpy.size(vect)
+        if nsize <= 3:
+            vect = vect.reshape(1,nsize)
+        
+        self.vect = vect
+        self.dirc = direction
+        
+        
+    
+    def Polar2Rect(self):
+        if self.dirc == 0:
+            jvect = self.vect*numpy.pi/180.
+            mmx = numpy.cos(jvect[:,1])*numpy.sin(jvect[:,0])
+            mmy = numpy.cos(jvect[:,1])*numpy.cos(jvect[:,0])
+            mmz = numpy.sin(jvect[:,1])
+            mm = numpy.array([mmx,mmy,mmz]).transpose()
+        
+        elif self.dirc == 1:
+            mm = [numpy.arctan2(self.vect[:,0],self.vect[:,1]),numpy.arcsin(self.vect[:,2])]
+            mm = numpy.array(mm)*180./numpy.pi
+        
+        return mm
+        
+        
+        
diff --git a/apps/abs/utils/OverJRO.py b/apps/abs/utils/OverJRO.py
new file mode 100644
index 0000000..77c3506
--- /dev/null
+++ b/apps/abs/utils/OverJRO.py
@@ -0,0 +1,97 @@
+'''
+Created on May 8, 2013
+
+@author: Jose Antonio Sal y Rosas Celi
+@contact: jose.salyrosas@jro.igp.gob.pe
+'''
+
+import os
+from Files import Files
+
+class OverJRO(Files):
+
+    __scriptName = "OverJRO.py"
+
+    def __init__(self):
+        pass
+
+    def setParameters(self, path, exp_name, phase_tx, gain_tx, gain_rx, ues_tx, just_rx):
+        self.path = path
+        self.exp_name = exp_name
+        self.phase_tx = phase_tx
+        self.gain_tx = gain_tx
+        self.gain_rx = gain_rx
+        self.ues_tx = ues_tx
+        self.just_rx = just_rx
+
+    def saveFile(self, contentFile):
+        filename = self.setFilename()
+        finalpath = os.path.join(self.path, self.setFileExtension(filename))
+        print "HAHAH"
+        finalpath = "apps/abs/static/data/"+finalpath
+        self.save(finalpath, contentFile)
+        return finalpath
+
+    def setTextContent(self):
+        title = "title ='%s'" % self.exp_name
+        ues_tx = "ues_tx = %s" % self.ues_tx
+        phase_tx = "phase_tx = %s" % (self.convertValue(self.phase_tx))
+        gain_tx = "gain_tx = %s" % (self.convertValue(self.gain_tx))
+        gain_rx = "gain_rx = %s" % (self.convertValue(self.gain_rx))
+        just_rx = "just_rx = %d" % self.just_rx
+        content = " %s\r\n\n %s\r\n\n %s\r\n %s\r\n %s\r\n %s\r\n" % (title, ues_tx, phase_tx, gain_tx, gain_rx, just_rx)
+        return content
+
+    def setFileExtension(self, filename):
+        txtFile = filename + ".txt"
+
+        return txtFile
+
+    def convertValue(self, strAntenna):
+        value = ""
+        strAntenna = strAntenna.replace("],[","]+[")
+        lsAntenna = strAntenna.split("+")
+        for i,element in enumerate(lsAntenna):
+            if i == 0:
+                value += "%s,$\n" % element
+            elif i == 7:
+                value += "            %s\n" % element
+            else:
+                value += "            %s,$\n" % element
+
+        return value
+
+
+if __name__ == '__main__':
+    path = "/home/fquino/workspace/radarsys/webapp/apps/abs/static/data"
+    exp_name = "MST-ISR 2009 (NS-Up)"
+    phase_tx = "[[0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5]," \
+               "[1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0]," \
+               "[0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5]," \
+               "[0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5]," \
+               "[1.0,1.0,1.0,1.0,1.5,1.5,1.5,1.5]," \
+               "[0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5]," \
+               "[1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0]," \
+               "[0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5]]"
+    gain_tx = "[[1,1,1,1,1,1,1,1]," \
+              "[1,1,1,1,1,1,1,1]," \
+              "[1,1,1,1,1,1,1,1]," \
+              "[1,1,1,1,1,1,1,1]," \
+              "[1,1,1,1,1,1,1,1]," \
+              "[1,1,1,1,1,1,1,1]," \
+              "[1,1,1,1,1,1,1,1]," \
+              "[1,1,1,1,1,1,1,1]]"
+    gain_rx = "[[1,1,1,1,0,0,0,0]," \
+              "[1,1,1,1,0,0,0,0]," \
+              "[1,1,1,1,0,0,0,0]," \
+              "[1,1,1,1,0,0,0,0]," \
+              "[0,0,0,0,1,1,1,1]," \
+              "[0,0,0,0,1,1,1,1]," \
+              "[0,0,0,0,1,1,1,1]," \
+              "[0,0,0,0,1,1,1,1]]"
+    ues_tx = "[0.533333,0.00000,1.06667,0.00000]"
+    just_rx = 0
+    data = OverJRO()
+    data.setParameters(path, exp_name, phase_tx, gain_tx, gain_rx, ues_tx, just_rx)
+    contentFile = data.setTextContent()
+    data.saveFile(contentFile)
diff --git a/apps/abs/utils/TimeTools.py b/apps/abs/utils/TimeTools.py
new file mode 100644
index 0000000..19f8f9c
--- /dev/null
+++ b/apps/abs/utils/TimeTools.py
@@ -0,0 +1,427 @@
+""" 
+The TIME_CONVERSIONS.py module gathers classes and functions for time system transformations
+(e.g. between seconds from 1970 to datetime format).   
+
+MODULES CALLED:
+NUMPY, TIME, DATETIME, CALENDAR
+        
+MODIFICATION HISTORY:
+Created by Ing. Freddy Galindo (frederickgalindo@gmail.com). ROJ Aug 13, 2009.
+"""
+
+import numpy
+import time
+#import datetime as dt
+import calendar
+
+class Time:
+    """
+    time(year,month,dom,hour,min,secs)
+
+    An object represents a date and time of certain event..
+
+    Parameters
+    ----------
+    YEAR =  Number of the desired year. Year  must be valid values  from the civil calendar.
+    Years B.C.E must be represented as negative integers. Years in the common era are repre-
+    sented as  positive integers. In particular,  note that there is no year 0  in the civil
+    calendar. 1 B.C.E. (-1) is followed by 1 C.E. (1).
+
+    MONTH = Number of desired month (1=Jan, ..., 12=December).
+
+    DOM = Number of day of the month.
+
+    HOUR = Number of the hour of the day. By default hour=0
+
+    MINS = Number of the minute of the hour. By default min=0
+
+    SECS = Number of the second of the minute. By default secs=0.
+        
+    Examples
+    --------
+    time_info = time(2008,9,30,12,30,00)
+
+    time_info = time(2008,9,30)
+    """
+    
+    def __init__(self,year=None,month=None,dom=None,hour=0,mins=0,secs=0):
+        # If one the first three inputs are not defined, it takes the current date.
+        date = time.localtime()
+        if year==None:year=date[0]
+        if month==None:month=date[1]
+        if dom==None:dom=date[2]
+        
+        # Converting to arrays
+        year = numpy.array([year]); month = numpy.array([month]); dom = numpy.array([dom])
+        hour = numpy.array([hour]); mins = numpy.array([mins]); secs = numpy.array([secs])
+        
+        # Defining time information object.
+        self.year = numpy.atleast_1d(year)
+        self.month = numpy.atleast_1d(month)
+        self.dom = numpy.atleast_1d(dom)
+        self.hour = numpy.atleast_1d(hour)
+        self.mins = numpy.atleast_1d(mins)
+        self.secs = numpy.atleast_1d(secs)
+        
+    def change2julday(self):
+        """
+        Converts a datetime to Julian days.
+        """
+        
+        # Defining constants
+        greg = 2299171 # incorrect Julian day for Oct, 25, 1582.
+        min_calendar = -4716
+        max_calendar = 5000000
+        
+        min_year = numpy.nanmin(self.year)
+        max_year = numpy.nanmax(self.year)
+        if (min_year<min_calendar) or (max_year>max_calendar):
+            print ("Value of Julian date is out of allowed range")
+            return -1
+
+        noyear = numpy.sum(self.year==0)
+        if noyear>0:
+            print ("There is no year zero in the civil calendar")
+            return -1
+
+        # Knowing if the year is less than 0.
+        bc = self.year<0        
+        
+        # Knowing if the month is less than March.        
+        inJanFeb = self.month<=2
+        
+        jy = self.year + bc - inJanFeb
+        jm = self.month + (1 + 12*inJanFeb)
+        
+        # Computing Julian days.
+        jul= numpy.floor(365.25*jy) + numpy.floor(30.6001*jm) + (self.dom+1720995.0)
+
+        # Test whether to change to Gregorian Calendar
+        if numpy.min(jul) >= greg:
+            ja = numpy.int32(0.01*jy)
+            jul = jul + 2 - ja + numpy.int32(0.25*ja)
+        else:
+            gregchange = numpy.where(jul >= greg)
+            if gregchange[0].size>0:        
+                ja = numpy.int32(0.01 + jy[gregchange])
+                jy[gregchange] = jy[gregchange] + 2 - ja + numpy.int32(0.25*ja)
+
+        # Determining machine-specific parameters affecting floating-point.
+        eps = 0.0 # Replace this line for a function to get precision.
+        eps = abs(jul)*0.0 > eps
+        
+        jul = jul + (self.hour/24. -0.5) + (self.mins/1440.) + (self.secs/86400.) + eps    
+        
+        return jul[0]
+    
+    def change2secs(self):         
+        """
+        Converts datetime to number of seconds respect to 1970.
+        """
+        
+        year = self.year
+        if year.size>1: year = year[0]
+
+        month = self.month
+        if month.size>1: month = month[0]
+        
+        dom = self.dom
+        if dom.size>1: dom = dom[0]
+        
+        # Resizing hour, mins and secs if it was necessary.
+        hour = self.hour
+        if hour.size>1:hour = hour[0]
+        if hour.size==1:hour = numpy.resize(hour,year.size)
+        
+        mins = self.mins
+        if mins.size>1:mins = mins[0]
+        if mins.size==1:mins = numpy.resize(mins,year.size)
+
+        secs = self.secs
+        if secs.size>1:secs = secs[0]
+        if secs.size==1:secs = numpy.resize(secs,year.size)
+
+        # Using time.mktime to compute seconds respect to 1970.
+        secs1970 = numpy.zeros(year.size)
+        for ii in numpy.arange(year.size):
+            secs1970[ii] = time.mktime((int(year[ii]),int(month[ii]),int(dom[ii]),\
+                int(hour[ii]),int(mins[ii]),int(secs[ii]),0,0,0))
+
+        secs1970 = numpy.int32(secs1970 - time.timezone)
+        
+        return secs1970
+
+    def change2strdate(self,mode=1):
+        """
+        change2strdate  method converts a date and time of certain event to date string. The
+        string format is like localtime (e.g. Fri Oct  9 15:00:19 2009).
+        
+        Parameters
+        ----------
+        None.
+        
+        Return
+        ------
+            
+        Modification History
+        --------------------
+        Created by Freddy R. Galindo, ROJ, 09 October 2009.
+        
+        """
+        
+        secs = numpy.atleast_1d(self.change2secs())
+        strdate = []
+        for ii in numpy.arange(numpy.size(secs)):            
+            secs_tmp = time.localtime(secs[ii] + time.timezone)
+            if mode==1:
+                strdate.append(time.strftime("%d-%b-%Y (%j) %H:%M:%S",secs_tmp))
+            elif mode==2:            
+                strdate.append(time.strftime("%d-%b-%Y (%j)",secs_tmp))
+                
+        strdate = numpy.array(strdate)
+
+        return strdate
+
+
+class Secs:
+    """
+    secs(secs):
+    
+    An object represents the number of seconds respect to 1970.
+    
+    Parameters
+    ----------
+    
+    SECS = A scalar or array giving the number of seconds respect to 1970.
+    
+    Example:
+    --------
+    secs_info = secs(1251241373)
+    
+    secs_info = secs([1251241373,1251241383,1251241393])    
+    """
+    def __init__(self,secs):    
+        self.secs = secs
+        
+    def change2julday(self):
+        """
+        Convert seconds from 1970 to Julian days.
+        """
+            
+        secs_1970 = time(1970,1,1,0,0,0).change2julday()
+        
+        julian = self.secs/86400.0 + secs_1970
+        
+        return julian
+    
+    def change2time(self):        
+        """
+        Converts seconds from 1970 to datetime.
+        """
+        
+        secs1970 = numpy.atleast_1d(self.secs)
+        
+        datetime = numpy.zeros((9,secs1970.size))
+        for ii in numpy.arange(secs1970.size):
+            tuple = time.gmtime(secs1970[ii])
+            datetime[0,ii] = tuple[0]
+            datetime[1,ii] = tuple[1]
+            datetime[2,ii] = tuple[2]
+            datetime[3,ii] = tuple[3]
+            datetime[4,ii] = tuple[4]
+            datetime[5,ii] = tuple[5]
+            datetime[6,ii] = tuple[6]
+            datetime[7,ii] = tuple[7]
+            datetime[8,ii] = tuple[8]
+
+        datetime = numpy.int32(datetime)
+
+        return datetime
+
+
+class Julian:    
+    """
+    julian(julian):
+    
+    An object represents julian days.
+    
+    Parameters
+    ----------
+    
+    JULIAN = A scalar or array giving the julina days.
+    
+    Example:
+    --------
+    julian_info = julian(2454740)
+    
+    julian_info = julian([2454740,2454760,2454780])
+    """
+    def __init__(self,julian):
+        self.julian = numpy.atleast_1d(julian)
+        
+    def change2time(self):    
+        """
+        change2time method converts from julian day to calendar date and time.
+        
+        Return
+        ------
+        year = An array giving the year of the desired julian day.
+        month = An array giving the month of the desired julian day. 
+        dom = An array giving the day of the desired julian day.
+        hour = An array giving the hour of the desired julian day.
+        mins = An array giving the minute of the desired julian day.
+        secs = An array giving the second of the desired julian day.
+        
+        Examples
+        --------
+        >> jd = 2455119.0 
+        >> [yy,mo,dd,hh,mi,ss] = TimeTools.julian(jd).change2time()
+        >> print ([yy,mo,dd,hh,mi,ss])
+        [2009] [10] [ 14.] [ 12.] [ 0.] [ 0.]
+        
+        Modification history
+        --------------------             
+        Translated from "Numerical Recipies in C", by William H. Press, Brian P. Flannery,
+        Saul A. Teukolsky, and William T. Vetterling. Cambridge University Press, 1988.
+        Converted to Python by Freddy R. Galindo, ROJ, 06 October 2009.
+        """
+
+        min_julian = -1095        
+        max_julian = 1827933925
+        if (numpy.min(self.julian) < min_julian) or (numpy.max(self.julian) > max_julian):
+            print ('Value of Julian date is out of allowed range.')
+            return None
+
+        # Beginning of Gregorian calendar
+        igreg = 2299161
+        julLong = numpy.floor(self.julian + 0.5) 
+        minJul = numpy.min(julLong)
+        
+        if (minJul >= igreg):
+            # All are Gregorian
+            jalpha = numpy.int32(((julLong - 1867216) - 0.25)/36524.25)
+            ja = julLong + 1 + jalpha - numpy.int32(0.25*jalpha)
+        else:            
+            ja = julLong
+            gregChange = numpy.where(julLong >= igreg)
+            if gregChange[0].size>0:
+                jalpha = numpy.int32(((julLong[gregChange]-1867216) - 0.25)/36524.25)
+                ja[gregChange] = julLong[gregChange]+1+jalpha-numpy.int32(0.25*jalpha)
+
+        # clear memory.
+        jalpha = -1
+        
+        jb = ja + 1524
+        jc = numpy.int32(6680. + ((jb-2439870)-122.1)/365.25)
+        jd = numpy.int32(365.*jc + (0.25*jc))
+        je = numpy.int32((jb - jd)/30.6001)
+        
+        dom = jb - jd - numpy.int32(30.6001*je)
+        month = je - 1
+        month = ((month - 1) % 12) + 1
+        month = numpy.atleast_1d(month)
+        year = jc - 4715
+        year = year - (month > 2)*1
+        year = year - (year <= 0)*1
+        year = numpy.atleast_1d(year)
+        
+        # Getting hours, minutes, seconds
+        fraction = self.julian + 0.5 - julLong
+        eps_0 = dom*0.0 + 1.0e-12
+        eps_1 = 1.0e-12*numpy.abs(julLong)
+        eps = (eps_0>eps_1)*eps_0 + (eps_0<=eps_1)*eps_1
+        
+        hour_0 = dom*0 + 23
+        hour_2 = dom*0 + 0
+        hour_1 = numpy.floor(fraction*24.0 + eps)
+        hour = ((hour_1>hour_0)*23) + ((hour_1<=hour_0)*hour_1)
+        hour = ((hour_1<hour_2)*0)  + ((hour_1>=hour_2)*hour_1)
+        
+        fraction = fraction - (hour/24.0)
+        mins_0 = dom*0 + 59
+        mins_2 = dom*0 + 0
+        mins_1 = numpy.floor(fraction*1440.0 + eps)
+        mins = ((mins_1>mins_0)*59) + ((mins_1<=mins_0)*mins_1)
+        mins = ((mins_1<mins_2)*0)  + ((mins_1>=mins_2)*mins_1)
+        
+        secs_2 = dom*0 + 0
+        secs_1 = (fraction - mins/1440.0)*86400.0
+        secs = ((secs_1<secs_2)*0)  + ((secs_1>=secs_2)*secs_1)
+
+        return year,month,dom,hour,mins,secs
+
+    def change2secs(self):
+        """
+        Converts from Julian days to seconds from 1970. 
+        """
+        
+        jul_1970 = Time(1970,1,1,0,0,0).change2julday()
+        
+        secs = numpy.int32((self.julian - jul_1970)*86400)
+        
+        return secs
+
+    def change2lst(self,longitude=-76.8667):
+        """
+        CT2LST converts  from local civil time to local mean sideral time       
+        
+        longitude = The longitude in degrees (east of Greenwich) of the  place for which
+        the local sideral time is desired, scalar. The Greenwich mean sideral time (GMST)
+        can be found by setting longitude=0.
+        """
+
+        # Useful constants, see Meus, p. 84
+        c = numpy.array([280.46061837, 360.98564736629, 0.000387933, 38710000.0])
+        jd2000 = 2451545.0
+        t0 = self.julian - jd2000
+        t = t0/36525.
+        
+        # Computing GST in seconds
+        theta = c[0] + (c[1]*t0) + (t**2)*(c[2]-t/c[3])
+        
+        # Computing LST in hours
+        lst = (theta + longitude)/15.0
+        neg = numpy.where(lst < 0.0)
+        if neg[0].size>0:lst[neg] = 24.0 + (lst[neg] % 24)
+        lst = lst % 24.0
+
+        return lst
+
+
+class date2doy:
+    def __init__(self,year,month,day):
+        self.year = year
+        self.month = month
+        self.day = day
+
+    def change2doy(self):
+        if calendar.isleap(self.year) == True:
+            tfactor = 1
+        else:
+            tfactor = 2
+
+        day = self.day
+        month = self.month               
+        
+        doy = numpy.floor((275*month)/9.0) - (tfactor*numpy.floor((month+9)/12.0)) + day - 30
+        
+        return numpy.int32(doy)
+
+
+class Doy2Date:
+    def __init__(self,year,doy):
+        self.year = year
+        self.doy = doy
+        
+    def change2date(self):
+        months = numpy.arange(12) + 1
+
+        first_dem = date2doy(self.year,months,1)
+        first_dem = first_dem.change2doy()        
+        
+        imm = numpy.where((self.doy - first_dem) > 0)
+        
+        month = imm[0].size
+        dom = self.doy -first_dem[month - 1] + 1
+
+        return month, dom
diff --git a/apps/abs/utils/__init__.py b/apps/abs/utils/__init__.py
new file mode 100644
index 0000000..e69de29
--- /dev/null
+++ b/apps/abs/utils/__init__.py
diff --git a/apps/abs/utils/col_koki.dat b/apps/abs/utils/col_koki.dat
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diff --git a/apps/abs/utils/contributors.txt b/apps/abs/utils/contributors.txt
new file mode 100644
index 0000000..537363c
--- /dev/null
+++ b/apps/abs/utils/contributors.txt
@@ -0,0 +1 @@
+Edwin Christian Yllanes Cucho
diff --git a/apps/abs/utils/data/col_koki.dat b/apps/abs/utils/data/col_koki.dat
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diff --git a/apps/abs/utils/gaussfit.py b/apps/abs/utils/gaussfit.py
new file mode 100644
index 0000000..6a2776f
--- /dev/null
+++ b/apps/abs/utils/gaussfit.py
@@ -0,0 +1,34 @@
+from numpy import *
+from scipy import optimize
+
+def gaussian(height, center_x, center_y, width_x, width_y):
+    """Returns a gaussian function with the given parameters"""
+    width_x = float(width_x)
+    width_y = float(width_y)
+    return lambda x,y: height*exp(
+                -(((center_x-x)/width_x)**2+((center_y-y)/width_y)**2)/2)
+
+def moments(data):
+    """Returns (height, x, y, width_x, width_y)
+    the gaussian parameters of a 2D distribution by calculating its
+    moments """
+    total = data.sum()
+    X, Y = indices(data.shape)
+    x = (X*data).sum()/total
+    y = (Y*data).sum()/total
+    col = data[:, int(y)]
+    width_x = sqrt(abs((arange(col.size)-y)**2*col).sum()/col.sum())
+    row = data[int(x), :]
+    width_y = sqrt(abs((arange(row.size)-x)**2*row).sum()/row.sum())
+    height = data.max()
+    return height, x, y, width_x, width_y
+
+def fitgaussian(data):
+    """Returns (height, x, y, width_x, width_y)
+    the gaussian parameters of a 2D distribution found by a fit"""
+    params = moments(data)
+    errorfunction = lambda p: ravel(gaussian(*p)(*indices(data.shape)) -
+                                 data)
+    p, success = optimize.leastsq(errorfunction, params)
+    return p
+
diff --git a/apps/abs/utils/manage.py b/apps/abs/utils/manage.py
new file mode 100644
index 0000000..93103d8
--- /dev/null
+++ b/apps/abs/utils/manage.py
@@ -0,0 +1,10 @@
+#!/usr/bin/env python
+import os
+import sys
+
+if __name__ == "__main__":
+    os.environ.setdefault("DJANGO_SETTINGS_MODULE", "radarsys.settings")
+
+    from django.core.management import execute_from_command_line
+
+    execute_from_command_line(sys.argv)
diff --git a/apps/abs/utils/overJroShow.py b/apps/abs/utils/overJroShow.py
new file mode 100644
index 0000000..c3781d2
--- /dev/null
+++ b/apps/abs/utils/overJroShow.py
@@ -0,0 +1,1632 @@
+#!/usr/bin/python
+
+
+import sys, os, os.path
+import traceback
+import cgi, Cookie
+import time, datetime
+import types
+import numpy
+import numpy.fft
+import scipy.linalg
+import scipy.special
+#import Numeric
+
+import Misc_Routines
+import TimeTools
+import JroAntSetup
+import Graphics_OverJro
+import Astro_Coords
+
+class JroPattern():
+    def __init__(self,pattern=0,path=None,filename=None,nptsx=101,nptsy=101,maxphi=5,fftopt=0, \
+        getcut=0,dcosx=None,dcosy=None,eomwl=6,airwl=4):
+        """
+        JroPattern class creates an object to represent the useful parameters for beam mode-
+        lling of the Jicamarca VHF radar.
+
+        Parameters
+        ----------
+        pattern = An integer (See JroAntSetup to know the available values) to load a prede-
+          fined configuration. The default value  is 0. To use a  user-defined configuration
+          pattern  must be None.
+        path = A string giving the directory that contains the user-configuration file. PATH
+          will work if pattern is None.
+        filename = A string giving the  name of the  user-configuration  file. FILENAME will
+          work if pattern is None.
+        nptsx = A scalar to specify the number of points  used to define the angular resolu-
+          tion in the "x" axis. The default value is 101.
+        nptsy = A scalar to specify the number of points  used to define the angular resolu-
+          tion in the "x" axis. The default value is 101.
+        maxphi = A scalar giving the maximum (absolute) angle (in degree) to model the ante-
+          nna pattern. The default value is 5 degrees.
+        fftopt = Set this input  to 1 to model  the beam using FFT.  To model  using antenna
+          theory set to 0 (default value).
+        getcut = Set to 1 to show an antenna cut instead of a contour plot of itself (set to
+          0). The defautl value is 0.
+        dcosx = An array giving the directional cosines for the  x-axis. DCOSX  will work if
+          getcut is actived.
+        dcosy = An array giving the directional cosines for the  y-axis. DCOSY  will work if
+          getcut is actived.
+        eomwl = A scalar giving the radar wavelength. The default value is 6m (50 MHZ).
+        airwl = Set this input to float (or intger) to specify the wavelength (in meters) of
+          the transmitted EOM wave in the air. The default value is 4m.
+
+        Modification History
+        --------------------
+        Converted to Object-oriented Programming by Freddy Galindo, ROJ, 20 September 2009.
+        """
+
+
+
+        # Getting antenna configuration.
+        setup = JroAntSetup.ReturnSetup(path=path,filename=filename,pattern=pattern)
+
+        ues = setup["ues"]
+        phase = setup["phase"]
+        gaintx = setup["gaintx"]
+        gainrx = setup["gainrx"]
+        justrx = setup["justrx"]
+
+        # Defining attributes for JroPattern class.
+        # Antenna configuration
+        self.uestx = ues
+        self.phasetx = phase
+        self.gaintx = gaintx
+        self.uesrx = ues
+        self.phaserx = phase
+        self.gainrx = gainrx
+        self.justrx = justrx
+
+        # Pattern resolution & method to model
+        self.maxphi = maxphi
+        self.nptsx = nptsx
+        self.nptsy = nptsy
+        self.fftopt = fftopt
+
+        # To get a cut of the pattern.
+        self.getcut = getcut
+
+        maxdcos = numpy.sin(maxphi*Misc_Routines.CoFactors.d2r)
+        if dcosx==None:dcosx = ((numpy.arange(nptsx,dtype=float)/(nptsx-1))-0.5)*2*maxdcos
+        if dcosy==None:dcosy = ((numpy.arange(nptsy,dtype=float)/(nptsy-1))-0.5)*2*maxdcos
+        self.dcosx = dcosx
+        self.dcosy = dcosy
+        self.nx = dcosx.size
+        self.ny = dcosy.size*(getcut==0) + (getcut==1)
+
+        self.eomwl = eomwl
+        self.airwl = airwl
+
+        self.kk = 2.*numpy.pi/eomwl
+
+        self.pattern = None
+        self.meanpos = None
+        self.norpattern = None
+        self.maxpattern = None
+
+        self.title = setup["title"]
+
+        self.getPattern()
+
+    def getPattern(self):
+        """
+        getpattern method returns the modelled total antenna pattern and its mean position.
+
+        Return
+        ------
+        pattern = An array giving the Modelled antenna pattern.
+        mean_pos = A 2-elements array giving the mean position of the main beam.
+
+        Examples
+        --------
+        >> [pattern, mean_pos] = JroPattern(pattern=2).getPattern()
+        >> print meanpos
+        [  8.08728085e-14  -4.78193873e-14]
+
+        Modification history
+        --------------------
+        Developed by Jorge L. Chau.
+        Converted to Python by Freddy R. Galindo, ROJ, 20 September 2009.
+        """
+
+        if (self.fftopt>0) and (self.getcut>0):
+            #print  "Conflict bewteen fftopt and getcut"
+            #print  "To get a cut of the antenna pattern uses ffopt=0"
+            return None, None
+
+        if (self.fftopt==0):
+            # Getting antenna pattern using the array method
+            self.pattern = self.__usingArray(rx=1)
+            if (self.justrx==0):self.pattern = self.pattern*self.__usingArray(rx=0)
+
+        elif (self.fftopt>0):
+            # Getting antenna pattern using FFT method
+            self.pattern = self.__usingFFT(rx=1)
+            if (self.justrx==0):self.pattern = self.pattern*self.__usingFFT(rx=0)
+
+        self.maxpattern = numpy.nanmax(self.pattern)
+        self.norpattern = self.pattern/self.maxpattern
+        if self.getcut==0:self.__getBeamPars()
+
+    def __usingArray(self,rx):
+        """
+        __usingArray method returns the Jicamarca antenna pattern computed using array model
+
+        pattern = dipolepattern x modulepattern
+
+        Parameters
+        ----------
+        rx = Set to 1 to use the Rx information. Otherwise set to 0 for Tx.
+
+        Return
+        ------
+        pattern = An array giving the modelled antenna pattern using the array model.
+
+        Modification history
+        --------------------
+        Developed by Jorge L. Chau.
+        Converted to Python by Freddy R. Galindo, ROJ, 20 September 2009.
+        """
+
+        if rx==1:
+            ues = self.uesrx
+            phase = self.phaserx
+            gain = self.gainrx
+        elif rx==0:
+            ues = self.uestx
+            phase = self.phasetx
+            gain = self.gaintx
+
+        ues = ues*360./self.airwl
+        phase = phase*360./self.airwl
+
+        for ii in range(4):
+            if ii==0:dim = numpy.array([4,0,8,4])   # WEST
+            elif ii==1:dim = numpy.array([0,0,4,4]) # NORTH
+            elif ii==2:dim = numpy.array([0,4,4,8]) # EAST
+            elif ii==3:dim = numpy.array([4,4,8,8]) # SOUTH
+            xi = dim[0]; xf = dim[2]; yi = dim[1]; yf = dim[3]
+            phase[xi:xf,yi:yf] = phase[xi:xf,yi:yf] + ues[ii]
+
+        phase = -phase
+
+        ar = self.eomwl*numpy.array([[0.5,6., 24.5],[0.5,6.,24.5]])
+        nr = numpy.array([[12.,4.,2.],[12.,4.,2.]])
+        lr = 0.25*self.eomwl*numpy.array([[0,0.,0],[0.,0,0]])
+
+        # Computing module and dipole patterns.
+        pattern = (numpy.abs(self.__dipPattern(ar,nr,lr)*self.__modPattern(phase,gain)))**2
+
+        return pattern
+
+    def __usingFFT(self,rx):
+        """
+        __usingFFT method returns the Jicamarca antenna pattern computed using The Fast Fou-
+        rier Transform.
+
+        pattern = iFFT(FFT(gain*EXP(j*phase)))
+
+        Parameters
+        ----------
+        rx = Set to 1 to use the Rx information. Otherwise set to 0 for Tx.
+
+        Return
+        ------
+        pattern = An array giving the modelled antenna pattern using the array model.
+
+        Modification history
+        --------------------
+        Developed by Jorge L. Chau.
+        Converted to Python by Freddy R. Galindo, ROJ, 20 September 2009.
+        """
+
+        if rx==1:
+            ues = self.uesrx
+            phase = self.phaserx
+            gain = self.gainrx
+        elif rx==0:
+            ues = self.uestx
+            phase = self.phasetx
+            gain = self.gaintx
+
+        ues = ues*360./self.airwl
+        phase = phase*360./self.airwl
+
+        for ii in range(4):
+            if ii==0:dim = numpy.array([4,0,8,4])   # WEST
+            elif ii==1:dim = numpy.array([0,0,4,4]) # NORTH
+            elif ii==2:dim = numpy.array([0,4,4,8]) # EAST
+            elif ii==3:dim = numpy.array([4,4,8,8]) # SOUTH
+            xi = dim[0]; xf = dim[2]; yi = dim[1]; yf = dim[3]
+            phase[xi:xf,yi:yf] = phase[xi:xf,yi:yf] + ues[ii]
+
+        phase = -phase
+
+        delta_x = self.eomwl/2.
+        delta_y = self.eomwl/2.
+
+        nxfft = 2048
+        nyfft = 2048
+        dcosx = (numpy.arange(nxfft) - (0.5*nxfft))/(nxfft*delta_x)*self.eomwl
+        dcosy = (numpy.arange(nyfft) - (0.5*nyfft))/(nyfft*delta_y)*self.eomwl
+
+        fft_gain = numpy.zeros((nxfft,nyfft))
+        fft_phase = numpy.zeros((nxfft,nyfft))
+
+        nx = 8
+        ny = 8
+        ndx =12
+        ndy =12
+        for iy in numpy.arange(ny):
+            for ix in numpy.arange(nx):
+                ix1 = nxfft/2-self.nx/2*ndx+ix*ndx
+                if ix<(nx/2):ix1 = ix1 - 1
+                if ix>=(nx/2):ix1 = ix1 + 1
+
+                iy1 = nyfft/2-ny/2*ndx+iy*ndy
+                if iy<(ny/2):iy1 = iy1 - 1
+                if iy>=(ny/2):iy1 = iy1 + 1
+
+                fft_gain[ix1:ix1+ndx-1,iy1:iy1+ndy-1] = gain[ix,ny-1-iy]
+                fft_phase[ix1:ix1+ndx-1,iy1:iy1+ndy-1] = phase[ix,ny-1-iy]
+
+
+        fft_phase = fft_phase*Misc_Routines.CoFactors.d2r
+
+        pattern = numpy.abs(numpy.fft.fft2(fft_gain*numpy.exp(numpy.complex(0,1)*fft_phase)))**2
+        pattern = numpy.fft.fftshift(pattern)
+
+        xvals = numpy.where((dcosx>=(numpy.min(self.dcosx))) & (dcosx<=(numpy.max(self.dcosx))))
+        yvals = numpy.where((dcosy>=(numpy.min(self.dcosy))) & (dcosy<=(numpy.max(self.dcosy))))
+
+        pattern = pattern[xvals[0][0]:xvals[0][-1],yvals[0][0]:yvals[0][-1]]
+
+        return pattern
+
+    def __readAttenuation(self):
+        """
+        _readAttenuation reads the attenuations' file and returns an array giving  these va-
+        lues (dB). The ext file must be in the directory "resource".
+
+        Return
+        ------
+        attenuation = An array giving attenuation values read from the text file.
+
+        Modification history
+        --------------------
+        Developed by Jorge L. Chau.
+        Converted to Python by Freddy R. Galindo, ROJ, 20 September 2009.
+        """
+
+        attenuation = None
+#        foldr = sys.path[-1] + os.sep + "resource" + os.sep
+        base_path = os.path.dirname(os.path.abspath(__file__))
+        #foldr = './resource'
+        #filen = "attenuation.txt"
+        attenuationFile = os.path.join(base_path,"resource","attenuation.txt")
+        #ff = open(os.path.join(foldr,filen),'r')
+        ff = open(attenuationFile,'r')
+        exec(ff.read())
+        ff.close()
+
+        return attenuation
+
+    def __dipPattern(self,ar,nr,lr):
+        """
+        _dipPattern function computes the dipole's pattern to  the Jicamarca radar. The next
+        equation defines the pattern as a function of the mainlobe direction:
+
+        sincx = SIN(k/2*n0x*(a0x*SIN(phi)*COS(alpha)))/SIN(k/2*(a0x*SIN(phi)*COS(alpha)))
+        sincy = SIN(k/2*n0y*(a0y*SIN(phi)*SIN(alpha)))/SIN(k/2*(a0y*SIN(phi)*SIN(alpha)))
+        A0(phi,alpha) = sincx*sincy
+        Parameters
+        ----------
+        ar = ?
+        nr = ?
+        lr = ?
+
+        Return
+        ------
+        dipole = An array giving antenna pattern from the dipole point of view..
+
+        Modification history
+        --------------------
+        Developed by Jorge L. Chau.
+        Converted to Python by Freddy R. Galindo, ROJ, 20 September 2009.
+        """
+
+        dipole = numpy.zeros((self.nx,self.ny),dtype=complex)
+        for iy in range(self.ny):
+            for ix in range(self.nx):
+                yindex = iy*(self.getcut==0) + ix*(self.getcut==1)
+
+                argx = ar[0,0]*self.dcosx[ix] - lr[0,0]
+                junkx = numpy.sin(0.5*self.kk*nr[0,0]*argx)/numpy.sin(0.5*self.kk*argx)
+                if argx == 0.0:    junkx = nr[0,0]
+
+                argy = ar[1,0]*self.dcosy[yindex] - lr[1,0]
+                junky = numpy.sin(0.5*self.kk*nr[1,0]*argy)/numpy.sin(0.5*self.kk*argy)
+                if argy == 0.0: junky = nr[1,0]
+
+                dipole[ix,iy] = junkx*junky
+
+        return dipole
+
+    def __modPattern(self,phase,gain):
+        """
+        ModPattern computes the module's pattern to the Jicamarca radar.  The next equation
+        defines    the pattern as a function mainlobe direction:
+
+        phasex = pos(x)*SIN(phi)*COS(alpha)
+        phasey = pos(y)*SIN(phi)*SIN(alpha)
+
+        A1(phi,alpha) = TOTAL(gain*EXP(COMPLEX(0,k*(phasex+phasey)+phase)))
+
+        Parameters
+        ----------
+        phase = Bidimensional array (8x8) giving the phase (in meters) of each module.
+        gain  = Bidimensional array (8x8) giving to  define modules  will be active  (ones)
+          and which will not (zeros).
+
+        Return
+        ------
+        module = An array giving antenna pattern from the module point of view..
+
+        Modification history
+        --------------------
+        Developed by Jorge L. Chau.
+        Converted to Python by Freddy R. Galindo, ROJ, 20 September 2009.
+        """
+
+        pos = self.eomwl*self.__readAttenuation()
+        posx = pos[0,:,:]
+        posy = pos[1,:,:]
+
+        phase = phase*Misc_Routines.CoFactors.d2r
+        module = numpy.zeros((self.nx,self.ny),dtype=complex)
+        for iy in range(self.ny):
+            for ix in range(self.nx):
+                yindex = iy*(self.getcut==0) + ix*(self.getcut==1)
+                phasex = posx*self.dcosx[ix]
+                phasey = posy*self.dcosy[yindex]
+                tmp = gain*numpy.exp(numpy.complex(0,1.)*(self.kk*(phasex+phasey)+phase))
+                module[ix,iy] = tmp.sum()
+
+        return module
+
+    def __getBeamPars(self):
+        """
+        _getBeamPars computes the main-beam parameters of the antenna.
+
+        Modification history
+        --------------------
+        Developed by Jorge L. Chau.
+        Converted to Python by Freddy R. Galindo, ROJ, 20 September 2009.
+        """
+
+        dx = self.dcosx[1] - self.dcosx[0]
+        dy = self.dcosy[1] - self.dcosy[0]
+
+        amp = self.norpattern
+
+        xx =  numpy.resize(self.dcosx,(self.nx,self.nx)).transpose()
+        yy =  numpy.resize(self.dcosy,(self.ny,self.ny))
+
+        mm0 = amp[numpy.where(amp > 0.5)]
+        xx0 = xx[numpy.where(amp > 0.5)]
+        yy0 = yy[numpy.where(amp > 0.5)]
+
+        xc = numpy.sum(mm0*xx0)/numpy.sum(mm0)
+        yc = numpy.sum(mm0*yy0)/numpy.sum(mm0)
+        rc = numpy.sqrt(mm0.size*dx*dy/numpy.pi)
+
+        nnx = numpy.where(numpy.abs(self.dcosx - xc) < rc)
+        nny = numpy.where(numpy.abs(self.dcosy - yc) < rc)
+
+        mm1 = amp[numpy.min(nnx):numpy.max(nnx)+1,numpy.min(nny):numpy.max(nny)+1]
+        xx1 = self.dcosx[numpy.min(nnx):numpy.max(nnx)+1]
+        yy1 = self.dcosy[numpy.min(nny):numpy.max(nny)+1]
+
+        # fitting data into the main beam.
+        import gaussfit
+        params = gaussfit.fitgaussian(mm1)
+
+        # Tranforming from indexes to axis' values
+        xcenter = xx1[0] + (((xx1[xx1.size-1] - xx1[0])/(xx1.size -1))*(params[1]))
+        ycenter = yy1[0] + (((yy1[yy1.size-1] - yy1[0])/(yy1.size -1))*(params[2]))
+        xwidth  = ((xx1[xx1.size-1] - xx1[0])/(xx1.size-1))*(params[3])*(1/Misc_Routines.CoFactors.d2r)
+        ywidth  = ((yy1[yy1.size-1] - yy1[0])/(yy1.size-1))*(params[4])*(1/Misc_Routines.CoFactors.d2r)
+        meanwx = (xwidth*ywidth)
+        meanpos = numpy.array([xcenter,ycenter])
+
+        #print  'Position: %f %f' %(xcenter,ycenter)
+        #print  'Widths:   %f %f' %(xwidth, ywidth)
+        #print  'BWHP:     %f' %(2*numpy.sqrt(2*meanwx)*numpy.sqrt(-numpy.log(0.5)))
+
+        self.meanpos = meanpos
+
+
+class BField():
+    def __init__(self,year=None,doy=None,site=1,heights=None,alpha_i=90):
+        """
+        BField class creates an object to get  the Magnetic  field for a  specific date and
+        height(s).
+
+        Parameters
+        ----------
+        year = A scalar giving the desired year.  If the value is None (default value) then
+          the current year will be used.
+        doy = A scalar giving the desired day of the year. If the value is None (default va-
+          lue) then the current doy will be used.
+        site = An integer to choose the geographic coordinates of the place where the magne-
+          tic field will be computed. The default value is over Jicamarca (site=1)
+        heights = An array giving the heights (km) where the magnetic field will be modeled By default the magnetic field will be computed at 100, 500 and 1000km.
+        alpha_i = Angle to interpolate the magnetic field.
+
+        Modification History
+        --------------------
+        Converted to Object-oriented Programming by Freddy Galindo, ROJ, 07 October 2009.
+        """
+
+        tmp = time.localtime()
+        if year==None: year = tmp[0]
+        if doy==None:  doy = tmp[7]
+        self.year = year
+        self.doy = doy
+        self.site = site
+        if heights==None:heights = numpy.array([100,500,1000])
+        self.heights = heights
+        self.alpha_i = alpha_i
+
+    def getBField(self,maglimits=numpy.array([-7,-7,7,7])):
+        """
+        getBField models the magnetic field for a different heights in a specific date.
+
+        Parameters
+        ----------
+        maglimits = An 4-elements array giving ..... The default value is [-7,-7,7,7].
+
+        Return
+        ------
+        dcos = An 4-dimensional array giving the directional cosines of the magnetic field
+          over the desired place.
+        alpha = An 3-dimensional array giving the angle of the magnetic field over the desi-
+          red place.
+
+        Modification History
+        --------------------
+        Converted to Python by Freddy R. Galindo, ROJ, 07 October 2009.
+        """
+
+        x_ant = numpy.array([1,0,0])
+        y_ant = numpy.array([0,1,0])
+        z_ant = numpy.array([0,0,1])
+
+        if self.site==0:
+            title_site = "Magnetic equator"
+            coord_site = numpy.array([-76+52./60.,-11+57/60.,0.5])
+        elif self.site==1:
+            title_site = 'Jicamarca'
+            coord_site = [-76-52./60.,-11-57/60.,0.5]
+            theta = (45+5.35)*numpy.pi/180.      # (50.35 and 1.46 from Fleish Thesis)
+            delta = -1.46*numpy.pi/180
+
+            x_ant1 = numpy.roll(self.rotvector(self.rotvector(x_ant,1,delta),3,theta),1)
+            y_ant1 = numpy.roll(self.rotvector(self.rotvector(y_ant,1,delta),3,theta),1)
+            z_ant1 = numpy.roll(self.rotvector(self.rotvector(z_ant,1,delta),3,theta),1)
+
+            ang0 = -1*coord_site[0]*numpy.pi/180.
+            ang1 = coord_site[1]*numpy.pi/180.
+            x_ant = self.rotvector(self.rotvector(x_ant1,2,ang1),3,ang0)
+            y_ant = self.rotvector(self.rotvector(y_ant1,2,ang1),3,ang0)
+            z_ant = self.rotvector(self.rotvector(z_ant1,2,ang1),3,ang0)
+        else:
+#            print "No defined Site. Skip..."
+            return None
+
+        nhei = self.heights.size
+        pt_intercep = numpy.zeros((nhei,2))
+        nfields = 1
+
+        grid_res = 0.5
+        nlon = numpy.int(maglimits[2] - maglimits[0])/grid_res + 1
+        nlat = numpy.int(maglimits[3] - maglimits[1])/grid_res + 1
+
+        location = numpy.zeros((nlon,nlat,2))
+        mlon = numpy.atleast_2d(numpy.arange(nlon)*grid_res + maglimits[0])
+        mrep = numpy.atleast_2d(numpy.zeros(nlat) + 1)
+        location0 = numpy.dot(mlon.transpose(),mrep)
+
+        mlat = numpy.atleast_2d(numpy.arange(nlat)*grid_res + maglimits[1])
+        mrep = numpy.atleast_2d(numpy.zeros(nlon) + 1)
+        location1 = numpy.dot(mrep.transpose(),mlat)
+
+        location[:,:,0] = location0
+        location[:,:,1] = location1
+
+        alpha = numpy.zeros((nlon,nlat,nhei))
+        rr = numpy.zeros((nlon,nlat,nhei,3))
+        dcos = numpy.zeros((nlon,nlat,nhei,2))
+
+        global first_time
+
+        first_time = None
+        for ilon in numpy.arange(nlon):
+            for ilat in numpy.arange(nlat):
+                outs = self.__bdotk(self.heights,
+                                    self.year + self.doy/366.,
+                                    coord_site[1],
+                                    coord_site[0],
+                                    coord_site[2],
+                                    coord_site[1]+location[ilon,ilat,1],
+                                    location[ilon,ilat,0]*720./180.)
+
+                alpha[ilon, ilat,:] = outs[1]
+                rr[ilon, ilat,:,:] = outs[3]
+
+                mrep = numpy.atleast_2d((numpy.zeros(nhei)+1)).transpose()
+                tmp = outs[3]*numpy.dot(mrep,numpy.atleast_2d(x_ant))
+                tmp = tmp.sum(axis=1)
+                dcos[ilon,ilat,:,0] = tmp/numpy.sqrt((outs[3]**2).sum(axis=1))
+
+                mrep = numpy.atleast_2d((numpy.zeros(nhei)+1)).transpose()
+                tmp = outs[3]*numpy.dot(mrep,numpy.atleast_2d(y_ant))
+                tmp = tmp.sum(axis=1)
+                dcos[ilon,ilat,:,1] = tmp/numpy.sqrt((outs[3]**2).sum(axis=1))
+
+        return dcos, alpha, nlon, nlat
+
+
+    def __bdotk(self,heights,tm,gdlat=-11.95,gdlon=-76.8667,gdalt=0.0,decd=-12.88, ham=-4.61666667):
+
+        global first_time
+        # Mean Earth radius in Km WGS 84
+        a_igrf = 6371.2
+
+        bk = numpy.zeros(heights.size)
+        alpha = numpy.zeros(heights.size)
+        bfm = numpy.zeros(heights.size)
+        rr = numpy.zeros((heights.size,3))
+        rgc = numpy.zeros((heights.size,3))
+
+        ObjGeodetic = Astro_Coords.Geodetic(gdlat,gdalt)
+        [gclat,gcalt] = ObjGeodetic.change2geocentric()
+
+        gclat = gclat*numpy.pi/180.
+        gclon = gdlon*numpy.pi/180.
+
+        # Antenna position from center of Earth
+        ca_vector = [numpy.cos(gclat)*numpy.cos(gclon),numpy.cos(gclat)*numpy.sin(gclon),numpy.sin(gclat)]
+        ca_vector = gcalt*numpy.array(ca_vector)
+
+        dec = decd*numpy.pi/180.
+
+        # K  vector respect to the center of earth.
+        klon = gclon + ham*numpy.pi/720.
+        k_vector = [numpy.cos(dec)*numpy.cos(klon),numpy.cos(dec)*numpy.sin(klon),numpy.sin(dec)]
+        k_vector = numpy.array(k_vector)
+
+        for ih in numpy.arange(heights.size):
+            # Vector from Earth's center to volume of interest
+            rr[ih,:] = k_vector*heights[ih]
+            cv_vector = numpy.squeeze(ca_vector) + rr[ih,:]
+
+            cv_gcalt = numpy.sqrt(numpy.sum(cv_vector**2.))
+            cvxy = numpy.sqrt(numpy.sum(cv_vector[0:2]**2.))
+
+            radial = cv_vector/cv_gcalt
+            east = numpy.array([-1*cv_vector[1],cv_vector[0],0])/cvxy
+            comp1 = east[1]*radial[2] - radial[1]*east[2]
+            comp2 = east[2]*radial[0] - radial[2]*east[0]
+            comp3 = east[0]*radial[1] - radial[0]*east[1]
+            north = -1*numpy.array([comp1, comp2, comp3])
+
+            rr_k = cv_vector - numpy.squeeze(ca_vector)
+            u_rr = rr_k/numpy.sqrt(numpy.sum(rr_k**2.))
+
+            cv_gclat = numpy.arctan2(cv_vector[2],cvxy)
+            cv_gclon = numpy.arctan2(cv_vector[1],cv_vector[0])
+
+            bhei = cv_gcalt-a_igrf
+            blat = cv_gclat*180./numpy.pi
+            blon = cv_gclon*180./numpy.pi
+            bfield = self.__igrfkudeki(bhei,tm,blat,blon)
+
+            B = (bfield[0]*north + bfield[1]*east - bfield[2]*radial)*1.0e-5
+
+            bfm[ih] = numpy.sqrt(numpy.sum(B**2.)) #module
+            bk[ih] = numpy.sum(u_rr*B)
+            alpha[ih] = numpy.arccos(bk[ih]/bfm[ih])*180/numpy.pi
+            rgc[ih,:] = numpy.array([cv_gclon, cv_gclat, cv_gcalt])
+
+        return bk, alpha, bfm, rr, rgc
+
+
+    def __igrfkudeki(self,heights,time,latitude,longitude,ae=6371.2):
+        """
+        __igrfkudeki calculates the International Geomagnetic Reference Field for given in-
+        put conditions based on IGRF2005 coefficients.
+
+        Parameters
+        ----------
+        heights = Scalar or vector giving the height above the Earth  of the point in ques-
+          tion in kilometers.
+        time = Scalar or vector giving the decimal year of time in question (e.g. 1991.2).
+        latitude = Latitude of point in question in decimal degrees. Scalar or vector.
+        longitude = Longitude of point in question in decimal degrees. Scalar or vector.
+        ae =
+        first_time =
+
+        Return
+        ------
+        bn =
+        be =
+        bd =
+        bmod =
+        balpha =
+        first_time =
+
+        Modification History
+        --------------------
+        Converted to Python by Freddy R. Galindo, ROJ, 03 October 2009.
+        """
+
+        global first_time
+        global gs, hs, nvec, mvec, maxcoef
+
+        heights = numpy.atleast_1d(heights)
+        time = numpy.atleast_1d(time)
+        latitude = numpy.atleast_1d(latitude)
+        longitude = numpy.atleast_1d(longitude)
+
+        if numpy.max(latitude)==90:
+#            print "Field calculations are not supported at geographic poles"
+            pass
+
+        # output arrays
+        bn = numpy.zeros(heights.size)
+        be = numpy.zeros(heights.size)
+        bd = numpy.zeros(heights.size)
+
+        if first_time==None:first_time=0
+
+        time0 = time[0]
+        if time!=first_time:
+            #print "Getting coefficients for", time0
+            [periods,g,h ] = self.__readIGRFcoeff()
+            top_year = numpy.max(periods)
+            nperiod = (top_year - 1900)/5 + 1
+
+            maxcoef = 10
+            if time0>=2000:maxcoef = 12
+
+
+            # Normalization array for Schmidt fucntions
+            multer = numpy.zeros((2+maxcoef,1+maxcoef)) + 1
+            for cn in (numpy.arange(maxcoef)+1):
+                for rm in (numpy.arange(cn)+1):
+                    tmp = numpy.arange(2*rm) + cn - rm + 1.
+                    multer[rm+1,cn] = ((-1.)**rm)*numpy.sqrt(2./tmp.prod())
+
+            schmidt = multer[1:,1:].transpose()
+
+            # n and m arrays
+            nvec = numpy.atleast_2d(numpy.arange(maxcoef)+2)
+            mvec = numpy.atleast_2d(numpy.arange(maxcoef+1)).transpose()
+
+            # Time adjusted igrf g and h with Schmidt normalization
+            # IGRF coefficient arrays: g0(n,m), n=1, maxcoeff,m=0, maxcoeff, ...
+            if time0<top_year:
+                dtime = (time0 - 1900) % 5
+                ntime = (time0 - 1900 - dtime)/5
+            else:
+                # Estimating coefficients for times > top_year
+                dtime = (time0 - top_year) + 5
+                ntime = g[:,0,0].size - 2
+
+            g0 = g[ntime,1:maxcoef+1,:maxcoef+1]
+            h0 = h[ntime,1:maxcoef+1,:maxcoef+1]
+            gdot = g[ntime+1,1:maxcoef+1,:maxcoef+1]-g[ntime,1:maxcoef+1,:maxcoef+1]
+            hdot = h[ntime+1,1:maxcoef+1,:maxcoef+1]-h[ntime,1:maxcoef+1,:maxcoef+1]
+            gs = (g0 + dtime*(gdot/5.))*schmidt[:maxcoef,0:maxcoef+1]
+            hs = (h0 + dtime*(hdot/5.))*schmidt[:maxcoef,0:maxcoef+1]
+
+            first_time = time0
+
+        for ii in numpy.arange(heights.size):
+            # Height dependence array rad = (ae/(ae+height))**(n+3)
+            rad = numpy.atleast_2d((ae/(ae + heights[ii]))**(nvec+1))
+
+            # Sin and Cos of m times longitude phi arrays
+            mphi = mvec*longitude[ii]*numpy.pi/180.
+            cosmphi = numpy.atleast_2d(numpy.cos(mphi))
+            sinmphi = numpy.atleast_2d(numpy.sin(mphi))
+
+            # Cos of colatitude theta
+            c = numpy.cos((90 - latitude[ii])*numpy.pi/180.)
+
+            # Legendre functions p(n,m|c)
+            [p,dp]= scipy.special.lpmn(maxcoef+1,maxcoef+1,c)
+            p = p[:,:-1].transpose()
+            s = numpy.sqrt((1. - c)*(1 + c))
+
+            # Generate derivative array dpdtheta = -s*dpdc
+            dpdtheta = c*p/s
+            for m in numpy.arange(maxcoef+2):    dpdtheta[:,m] = m*dpdtheta[:,m]
+            dpdtheta = dpdtheta + numpy.roll(p,-1,axis=1)
+
+            # Extracting arrays required for field calculations
+            p = p[1:maxcoef+1,:maxcoef+1]
+            dpdtheta = dpdtheta[1:maxcoef+1,:maxcoef+1]
+
+            # Weigh p and dpdtheta with gs and hs coefficients.
+            gp = gs*p
+            hp = hs*p
+            gdpdtheta = gs*dpdtheta
+            hdpdtheta = hs*dpdtheta
+            # Calcultate field components
+            matrix0 = numpy.dot(gdpdtheta,cosmphi)
+            matrix1 = numpy.dot(hdpdtheta,sinmphi)
+            bn[ii] = numpy.dot(rad,(matrix0 + matrix1))
+            matrix0 = numpy.dot(hp,(mvec*cosmphi))
+            matrix1 = numpy.dot(gp,(mvec*sinmphi))
+            be[ii] = numpy.dot((-1*rad),((matrix0 - matrix1)/s))
+            matrix0 = numpy.dot(gp,cosmphi)
+            matrix1 = numpy.dot(hp,sinmphi)
+            bd[ii] = numpy.dot((-1*nvec*rad),(matrix0 + matrix1))
+
+        bmod = numpy.sqrt(bn**2. + be**2. + bd**2.)
+        btheta = numpy.arctan(bd/numpy.sqrt(be**2. + bn**2.))*180/numpy.pi
+        balpha = numpy.arctan(be/bn)*180./numpy.pi
+
+        #bn : north
+        #be : east
+        #bn : radial
+        #bmod : module
+
+
+        return bn, be, bd, bmod, btheta, balpha
+
+    def str2num(self, datum):
+        try:
+            return int(datum)
+        except:
+            try:
+                return float(datum)
+            except:
+                return datum
+
+    def __readIGRFfile(self, filename):
+        list_years=[]
+        for i in range(1,24):
+            list_years.append(1895.0 + i*5)
+
+        epochs=list_years
+        epochs.append(epochs[-1]+5)
+        nepochs = numpy.shape(epochs)
+
+        gg = numpy.zeros((13,14,nepochs[0]),dtype=float)
+        hh = numpy.zeros((13,14,nepochs[0]),dtype=float)
+
+        coeffs_file=open(filename)
+        lines=coeffs_file.readlines()
+
+        coeffs_file.close()
+
+        for line in lines:
+            items = line.split()
+            g_h = items[0]
+            n = self.str2num(items[1])
+            m = self.str2num(items[2])
+
+            coeffs = items[3:]
+
+            for i in range(len(coeffs)-1):
+                coeffs[i] = self.str2num(coeffs[i])
+
+            #coeffs = numpy.array(coeffs)
+            ncoeffs = numpy.shape(coeffs)[0]
+
+            if g_h == 'g':
+    #            print n," g ",m
+                gg[n-1,m,:]=coeffs
+            elif g_h=='h':
+    #            print n," h ",m
+                hh[n-1,m,:]=coeffs
+    #        else :
+    #            continue
+
+    #    Ultimo Reordenamiento para  almacenar .
+        gg[:,:,nepochs[0]-1] = gg[:,:,nepochs[0]-2] + 5*gg[:,:,nepochs[0]-1]
+        hh[:,:,nepochs[0]-1] = hh[:,:,nepochs[0]-2] + 5*hh[:,:,nepochs[0]-1]
+
+#        return numpy.array([gg,hh])
+        periods = numpy.array(epochs)
+        g = gg
+        h = hh
+        return periods, g, h
+
+
+    def __readIGRFcoeff(self,filename="igrf10coeffs.dat"):
+        """
+        __readIGRFcoeff reads the coefficients from  a binary file which is located  in the
+        folder "resource."
+
+        Parameter
+        ---------
+        filename = A string to specify the name of the file which contains thec coeffs. The
+        default value is "igrf10coeffs.dat"
+
+        Return
+        ------
+        periods = A lineal array giving...
+        g1 =
+        h1 =
+
+        Modification History
+        --------------------
+        Converted to Python by Freddy R. Galindo, ROJ, 03 October 2009.
+        """
+
+# #        igrfile = sys.path[-1] + os.sep + "resource" + os.sep + filename
+#         igrfile = os.path.join('./resource',filename)
+#         f = open(igrfile,'rb')
+#         #f = open(os.getcwd() + os.sep + "resource" + os.sep + filename,'rb')
+#
+#         # Reading SkyNoise Power (lineal scale)
+#         periods = numpy.fromfile(f,numpy.dtype([('var','<f4')]),23)
+#         periods = periods['var']
+#
+#         g = numpy.fromfile(f,numpy.dtype([('var','<f8')]),23*14*14)
+#         g = g['var'].reshape((14,14,23)).transpose()
+#
+#         h = numpy.fromfile(f,numpy.dtype([('var','<f8')]),23*14*14)
+#         h = h['var'].reshape((14,14,23)).transpose()
+#
+#         f.close()
+        base_path = os.path.dirname(os.path.abspath(__file__))
+        filename = os.path.join(base_path,"resource","igrf11coeffs.txt")
+
+        period_v, g_v, h_v = self.__readIGRFfile(filename)
+        g2 = numpy.zeros((14,14,24))
+        h2 = numpy.zeros((14,14,24))
+        g2[1:14,:,:] = g_v
+        h2[1:14,:,:] = h_v
+
+        g = numpy.transpose(g2, (2,0,1))
+        h = numpy.transpose(h2, (2,0,1))
+        periods = period_v.copy()
+
+        return periods, g, h
+
+    def rotvector(self,vector,axis=1,ang=0):
+        """
+        rotvector function returns the new vector generated rotating the rectagular coords.
+
+        Parameters
+        ----------
+        vector = A lineal 3-elements array (x,y,z).
+        axis = A integer to specify  the axis used to rotate the coord systems. The default
+          value is 1.
+            axis = 1 -> Around "x"
+            axis = 2 -> Around "y"
+            axis = 3 -> Around "z"
+        ang = Angle of rotation (in radians). The default value is zero.
+
+        Return
+        ------
+        rotvector = A lineal array of 3 elements giving the new coordinates.
+
+        Modification History
+        --------------------
+        Converted to Python by Freddy R. Galindo, ROJ, 01 October 2009.
+        """
+
+        if axis==1:
+            t = [[1,0,0],[0,numpy.cos(ang),numpy.sin(ang)],[0,-numpy.sin(ang),numpy.cos(ang)]]
+        elif axis==2:
+            t = [[numpy.cos(ang),0,-numpy.sin(ang)],[0,1,0],[numpy.sin(ang),0,numpy.cos(ang)]]
+        elif axis==3:
+            t = [[numpy.cos(ang),numpy.sin(ang),0],[-numpy.sin(ang),numpy.cos(ang),0],[0,0,1]]
+
+        rotvector = numpy.array(numpy.dot(numpy.array(t),numpy.array(vector)))
+
+        return rotvector
+
+
+class overJroShow:
+
+#    __serverdocspath = '/usr/local/www/htdocs'
+#    __tmpDir = 'overJro/tempReports'
+#     __serverdocspath = '/Users/dsuarez/Pictures'
+#     __tmpDir = 'overjro'
+    __serverdocspath = None
+    __tmpDir = None
+
+    def __init__(self):
+        self.year = None
+        self.month = None
+        self.dom = None
+        self.pattern = None
+        self.maxphi = None
+        self.heights = None
+        self.filename = None
+        self.showType = None
+        self.path = None
+        self.objects = None
+        self.nptsx = 101
+        self.nptsy = 101
+        self.fftopt = 0
+        self.site = 1
+        self.dcosx = 1
+        self.dcosy = 1
+        self.dcosxrange = None
+        self.dcosyrange = None
+        self.maxha_min= 0.
+        self.show_object = None
+        self.dcosx_mag = None
+        self.dcosy_mag = None
+        self.ha_mag = None
+        self.time_mag = None
+        self.main_dec = None
+        self.ObjC = None
+        self.ptitle = ''
+        self.path4plotname = None
+        self.plotname0 = None
+        self.plotname1 = None
+        self.plotname2 = None
+        self.scriptHeaders = 0
+#       self.outputHead('Show Plot')
+#        self.printBody()
+
+    def setScriptState(self):
+        self.madForm = cgi.FieldStorage()
+
+        if self.madForm.has_key('serverdocspath'):
+            self.__serverdocspath = self.madForm.getvalue('serverdocspath')#'/usr/local/www/htdocs'
+
+        if self.madForm.has_key('tmpdir'):
+            self.__tmpDir = self.madForm.getvalue('tmpdir')#'overJro/tempReports'
+
+        if self.madForm.has_key('showType'):
+            self.showType = int(self.madForm.getvalue('showType'))
+
+        if self.showType == 0 or self.showType == 1:
+
+#             if self.madForm.has_key('year') and \
+#                 self.madForm.has_key('month') and \
+#                 self.madForm.has_key('dom') and \
+#                 self.madForm.has_key('pattern') and \
+#                 self.madForm.has_key('maxphi') and \
+#                 self.madForm.has_key('objects') and \
+#                 self.madForm.has_key('heights'):
+
+            if self.madForm.has_key('year') and \
+                self.madForm.has_key('month') and \
+                self.madForm.has_key('dom') and \
+                self.madForm.has_key('maxphi') and \
+                self.madForm.has_key('objects') and \
+                self.madForm.has_key('heights'):
+
+                    self.year = int(self.madForm.getvalue('year'))
+                    self.month = int(self.madForm.getvalue('month'))
+                    self.dom = int(self.madForm.getvalue('dom'))
+                    self.maxphi = float(self.madForm.getvalue('maxphi'))
+
+                    if self.madForm.has_key('pattern'):
+
+                        tmp_pattern = self.madForm.getvalue('pattern') #pattern es predifinido en listado o definido por el usuario
+                        self.pattern=[]
+                        if tmp_pattern[0] == '[':
+                            tmp_pattern=tmp_pattern[1:]
+
+                        if tmp_pattern[-1] == ']':
+                            tmp_pattern=tmp_pattern[0:len(tmp_pattern)-1]
+
+                        for s in tmp_pattern.split(','):
+                            self.pattern.append(float(s))
+                    elif self.madForm.has_key('filename'):
+                        if self.madForm.has_key('filename'):
+                            self.filename = self.madForm.getvalue('filename') # nombre de archivo: patron de radiacion definido por el usuario
+
+                        if self.madForm.has_key('path'):
+                            self.path = self.madForm.getvalue('path') #path donde se encuentra el archivo: patron de radiacion del usuario
+
+                    else:
+                        print "Content-Type: text/html\n"
+                        print '<h3> This cgi plot script was called without the proper arguments.</h3>'
+                        print '<p> This is a script used to plot Antenna Cuts over Jicamarca Antenna</p>'
+                        print '<p> Required arguments:</p>'
+                        print '<p>    pattern - chekbox indicating objects over jicamarca antenna</p>'
+                        print '<p> or'
+                        print '<p>    filename - The pattern defined by users is a file text'
+                        print '<p>    path - folder with pattern files'
+                        sys.exit(0)
+
+
+                    tmp_heights = self.madForm.getvalue('heights')
+                    self.heights=[]
+                    if tmp_heights[0] == '[':
+                        tmp_heights=tmp_heights[1:]
+
+                    if tmp_heights[-1] == ']':
+                        tmp_heights=tmp_heights[0:len(tmp_heights)-1]
+
+                    for s in tmp_heights.split(','):
+                        self.heights.append(float(s))
+                    self.heights = numpy.array(self.heights)
+
+                    tmp_objects = self.madForm.getvalue('objects') #lista con los objetos a graficar en el patron de radiacion
+                    self.objects=[]
+                    if tmp_objects[0] == '[':
+                        tmp_objects=tmp_objects[1:]
+
+                    if tmp_objects[-1] == ']':
+                        tmp_objects=tmp_objects[0:len(tmp_objects)-1]
+
+                    for s in tmp_objects.split(','):
+                        self.objects.append(int(s))
+
+                    if self.showType == 1:
+                        if numpy.sum(self.objects) == 0:
+                            if  self.scriptHeaders == 0:
+                                print "Content-Type: text/html\n"
+                            print '<h3> This cgi plot script was called without the proper arguments.</h3>'
+                            print '<p> This is a script used to plot Antenna Cuts over Jicamarca Antenna</p>'
+                            print '<p> Required arguments:</p>'
+                            print '<p>    objects - chekbox indicating objects over jicamarca antenna</p>'
+                            print '<p> Please, options in "Select Object" must be checked'
+                            sys.exit(0)
+
+                    #considerar para futura implementacion
+                    if self.madForm.has_key('filename'):
+                        self.filename = self.madForm.getvalue('filename') # nombre de archivo: patron de radiacion definido por el usuario
+
+                    if self.madForm.has_key('path'):
+                        self.path = self.madForm.getvalue('path') #path donde se encuentra el archivo: patron de radiacion del usuario
+
+
+            else:
+                if  self.scriptHeaders == 0:
+                    print "Content-Type: text/html\n"
+
+                print '<h3> This cgi plot script was called without the proper arguments.</h3>'
+                print '<p> This is a script used to plot Pattern Field and Celestial Objects over Jicamarca Antenna</p>'
+                print '<p> Required arguments:</p>'
+                print '<p>    year - year of event</p>'
+                print '<p>    month - month of event</p>'
+                print '<p>    dom - day of month</p>'
+                print '<p>    pattern - pattern is defined by "Select an Experiment" list box</p>'
+                print '<p>    maxphi - maxphi is defined by "Max Angle" text box</p>'
+                print '<p>    objects - objects is a list defined by checkbox in "Select Object"</p>'
+                print '<p>    heights - heights is defined by "Heights" text box, for default heights=[100,500,1000]</p>'
+                print '<p>    showType - showType is a hidden element for show plot of Pattern&Object or Antenna Cuts or Sky Noise</p>'
+
+                sys.exit(0)
+
+        if self.showType == 2:
+            if self.madForm.has_key('year') and \
+                self.madForm.has_key('month') and \
+                self.madForm.has_key('dom'):
+
+                self.year = int(self.madForm.getvalue('year'))
+                self.month = int(self.madForm.getvalue('month'))
+                self.dom = int(self.madForm.getvalue('dom'))
+
+            else:
+                if  self.scriptHeaders == 0:
+                    print "Content-Type: text/html\n"
+                print '<h3> This cgi plot script was called without the proper arguments.</h3>'
+                print '<p> This is a script used to plot Sky Noise over Jicamarca Antenna</p>'
+                print '<p> Required arguments:</p>'
+                print '<p>    year - year of event</p>'
+                print '<p>    month - month of event</p>'
+                print '<p>    dom - day of month</p>'
+
+                sys.exit(0)
+
+
+    def initParameters1(self):
+
+        gui=1
+        if self.pattern==None:
+            if gui==1: self.filename = self.filename.split(',')
+
+        pattern = numpy.atleast_1d(self.pattern)
+        filename = numpy.atleast_1d(self.filename)
+
+        npatterns = numpy.max(numpy.array([pattern.size,filename.size]))
+
+        self.pattern = numpy.resize(pattern,npatterns)
+        self.filename = numpy.resize(filename,npatterns)
+
+        self.doy = datetime.datetime(self.year,self.month,self.dom).timetuple().tm_yday
+
+
+        if self.objects==None:
+            self.objects=numpy.zeros(5)
+        else:
+            tmp = numpy.atleast_1d(self.objects)
+            self.objects = numpy.zeros(5)
+            self.objects[0:tmp.size] = tmp
+
+        self.show_object = self.objects
+
+        self.maxha_min = 4*self.maxphi*numpy.sqrt(2)*1.25
+
+
+        if self.heights==None:
+            self.heights = numpy.array([100.,500.,1000.])
+
+
+
+        #ROJ geographic coordinates and time zone
+        self.glat = -11.95
+        self.glon = -76.8667
+        self.UT = 5 #timezone
+
+        self.glat = -11.951481
+        self.glon = -76.874383
+
+
+        self.junkjd = TimeTools.Time(self.year,self.month,self.dom).change2julday()
+        self.junklst = TimeTools.Julian(self.junkjd).change2lst(longitude=self.glon)
+
+        # Finding RA of observatory for a specific date
+        self.ra_obs = self.junklst*Misc_Routines.CoFactors.h2d
+
+    def initParameters(self):
+
+        # Defining plot filenames
+        self.path4plotname = os.path.join(self.__serverdocspath,self.__tmpDir)
+        print "PATH4"
+        print os.path.join(self.__serverdocspath,self.__tmpDir)
+        self.plotname0 = 'over_jro_0_%i.png'% (time.time()) #plot pattern & objects
+        self.plotname1 = 'over_jro_1_%i.png'% (time.time()) #plot antenna cuts
+        self.plotname2 = 'over_jro_2_%i.png'% (time.time()) #plot sky noise
+
+        # Defining antenna axes respect to geographic coordinates (See Ochs report).
+#        alfa = 1.46*Misc_Routines.CoFactors.d2r
+#        theta = 51.01*Misc_Routines.CoFactors.d2r
+
+        alfa = 1.488312*Misc_Routines.CoFactors.d2r
+        th = 6.166710 + 45.0
+        theta = th*Misc_Routines.CoFactors.d2r
+
+        sina = numpy.sin(alfa)
+        cosa = numpy.cos(alfa)
+        MT1 = numpy.array([[1,0,0],[0,cosa,-sina],[0,sina,cosa]])
+        sinb = numpy.sin(theta)
+        cosb = numpy.cos(theta)
+        MT2 = numpy.array([[cosb,sinb,0],[-sinb,cosb,0],[0,0,1]])
+        self.MT3 = numpy.array(numpy.dot(MT2, MT1)).transpose()
+
+        self.xg = numpy.dot(self.MT3.transpose(),numpy.array([1,0,0]))
+        self.yg = numpy.dot(self.MT3.transpose(),numpy.array([0,1,0]))
+        self.zg = numpy.dot(self.MT3.transpose(),numpy.array([0,0,1]))
+
+    def plotPattern(self):
+        # Plotting Antenna patterns.
+        npatterns = numpy.size(self.pattern)
+
+        if npatterns==1:
+            if self.pattern[0] == None: npatterns = self.filename.__len__()
+
+        date = TimeTools.Time(self.year,self.month,self.dom).change2strdate(mode=2)
+
+        mesg = 'Over Jicamarca: ' + date[0]
+
+        title = ''
+
+        for ii in numpy.arange(npatterns):
+            ObjAnt = JroPattern(pattern=self.pattern[ii],
+                                filename=self.filename[ii],
+                                path=self.path,
+                                nptsx=self.nptsx,
+                                nptsy=self.nptsy,
+                                maxphi=self.maxphi,
+                                fftopt=self.fftopt)
+
+            title += ObjAnt.title
+            # Plotting Contour Map
+            print "Antes de la creacion"
+            self.path4plotname = '/home/fquino/workspace/radarsys/webapp/apps/abs/static/images'
+            print self.path4plotname
+            print self.plotname0
+            dum = Graphics_OverJro.AntPatternPlot()
+            dum.contPattern(iplot=ii,
+                                                        gpath=self.path4plotname,
+                                                        filename=self.plotname0,
+                                                        mesg=mesg,
+                                                        amp=ObjAnt.norpattern,
+                                                        x=ObjAnt.dcosx,
+                                                        y=ObjAnt.dcosy,
+                                                        getCut=ObjAnt.getcut,
+                                                        title=title)
+#                                                         title=ObjAnt.title)
+#             self.ptitle = ObjAnt.title
+            if ii==0:
+                self.figure = dum.figure
+
+            if ii != (npatterns-1):
+                title += '+'
+
+
+            vect_ant = numpy.array([ObjAnt.meanpos[0],ObjAnt.meanpos[1],numpy.sqrt(1-numpy.sum(ObjAnt.meanpos**2.))])
+
+            vect_geo = numpy.dot(scipy.linalg.inv(self.MT3),vect_ant)
+
+            vect_polar = Misc_Routines.Vector(numpy.array(vect_geo),direction=1).Polar2Rect()
+
+            [ra,dec,ha] = Astro_Coords.AltAz(vect_polar[1],vect_polar[0],self.junkjd).change2equatorial()
+
+            print'Main beam position (HA(min), DEC(degrees)): %f %f'%(ha*4.,dec)
+
+            self.main_dec = dec
+
+        self.ptitle = title
+
+        Graphics_OverJro.AntPatternPlot().plotRaDec(gpath=self.path4plotname,filename=self.plotname0,jd=self.junkjd, ra_obs=self.ra_obs, xg=self.xg, yg=self.yg, x=ObjAnt.dcosx, y=ObjAnt.dcosy)
+
+        self.dcosx = ObjAnt.dcosx
+
+        self.dcosy = ObjAnt.dcosy
+
+        self.dcosxrange = [numpy.min(self.dcosx),numpy.max(self.dcosx)]
+
+        self.dcosyrange = [numpy.min(self.dcosy),numpy.max(self.dcosy)]
+
+    def plotBfield(self):
+
+        if self.show_object[0]>0:
+            # Getting B field
+            ObjB = BField(self.year,self.doy,self.site,self.heights)
+
+
+            [dcos, alpha, nlon, nlat] = ObjB.getBField()
+
+            # Plotting B field.
+#            print "Drawing magnetic field over Observatory"
+
+            Obj = Graphics_OverJro.BFieldPlot()
+
+            Obj.plotBField(self.path4plotname,self.plotname0,dcos,alpha,nlon,nlat,self.dcosxrange,self.dcosyrange,ObjB.heights,ObjB.alpha_i)
+
+            if self.show_object[0]>1:
+
+                Bhei = 0
+
+                dcosx = Obj.alpha_location[:,0,Bhei]
+
+                dcosy = Obj.alpha_location[:,1,Bhei]
+
+                vect_ant = [dcosx,dcosy,numpy.sqrt(1.-(dcosx**2. + dcosy**2.))]
+
+                vect_ant = numpy.array(vect_ant)
+
+                vect_geo = numpy.dot(scipy.linalg.inv(self.MT3),vect_ant)
+
+                vect_geo = numpy.array(vect_geo).transpose()
+
+                vect_polar = Misc_Routines.Vector(vect_geo,direction=1).Polar2Rect()
+
+                [ra,dec,ha] = Astro_Coords.AltAz(vect_polar[1,:],vect_polar[0,:],self.junkjd).change2equatorial()
+
+                val = numpy.where(ha>=180)
+
+                if val[0].size>0:ha[val] = ha[val] -360.
+
+                val = numpy.where(numpy.abs(ha)<=self.maxphi)
+
+                if val[0].size>2:
+
+                    self.dcosx_mag = dcosx[val]
+
+                    self.dcosy_mag = dcosy[val]
+
+                    self.ha_mag = ha[val]
+
+                    self.time_mag = 0
+
+    def plotCelestial(self):
+
+        ntod = 24.*16.
+
+        tod = numpy.arange(ntod)/ntod*24.
+
+        [month,dom] = TimeTools.Doy2Date(self.year,self.doy).change2date()
+
+        jd = TimeTools.Time(self.year,month,dom,tod+self.UT).change2julday()
+
+        if numpy.sum(self.show_object[1:]>0)!=0:
+
+            self.ObjC = Graphics_OverJro.CelestialObjectsPlot(jd,self.main_dec,tod,self.maxha_min,self.show_object)
+
+            self.ObjC.drawObject(self.glat,
+                            self.glon,
+                            self.xg,
+                            self.yg,
+                            self.dcosxrange,
+                            self.dcosyrange,
+                            self.path4plotname,
+                            self.plotname0)
+
+    def plotAntennaCuts(self):
+#        print "Drawing antenna cuts"
+
+        incha = 0.05 # min
+        nha = numpy.int32(2*self.maxha_min/incha) + 1.
+        newha = numpy.arange(nha)/nha*2.*self.maxha_min - self.maxha_min
+        nha_star = numpy.int32(200./incha)
+        star_ha = (numpy.arange(nha_star) - (nha_star/2))*nha_star
+
+        #Init ObjCut for PatternCutPlot()
+        view_objects = numpy.where(self.show_object>0)
+        subplots = len(view_objects[0])
+        ObjCut = Graphics_OverJro.PatternCutPlot(subplots)
+
+        for io in (numpy.arange(5)):
+            if self.show_object[io]==2:
+                if io==0:
+                    if self.dcosx_mag.size!=0:
+                        dcosx = self.dcosx_mag
+                        dcosy = self.dcosy_mag
+                        dcosz = 1 - numpy.sqrt(dcosx**2. + dcosy**2.)
+
+                        # Finding rotation of B respec to antenna coords.
+                        [mm,bb] = scipy.polyfit(dcosx,dcosy,1)
+                        alfa = 0.0
+                        theta = -1.*numpy.arctan(mm)
+                        sina = numpy.sin(alfa); cosa = numpy.cos(alfa)
+                        MT1 = [[1,0,0],[0,cosa,-sina],[0,sina,cosa]]
+                        MT1 = numpy.array(MT1)
+                        sinb = numpy.sin(theta); cosb = numpy.cos(theta)
+                        MT2 = [[cosb,sinb,0],[-sinb,cosb,0],[0,0,1]]
+                        MT2 = numpy.array(MT2)
+                        MT3_mag = numpy.dot(MT2, MT1)
+                        MT3_mag = numpy.array(MT3_mag).transpose()
+                        # Getting dcos respec to B coords
+                        vector = numpy.array([dcosx,dcosy,dcosz])
+                        nvector = numpy.dot(MT3_mag,vector)
+                        nvector = numpy.array(nvector).transpose()
+
+##                        print 'Rotation (deg) %f'%(theta/Misc_Routines.CoFactors.d2r)
+
+                        yoffset = numpy.sum(nvector[:,1])/nvector[:,1].size
+#                        print 'Dcosyoffset %f'%(yoffset)
+
+                        ha = self.ha_mag*4.
+                        time = self.time_mag
+                        width_star = 0.1 # half width in minutes
+                        otitle = 'B Perp. cut'
+#                    else:
+#                        print "No B perp. over Observatory"
+#
+#
+                elif io==1:
+                    if self.ObjC.dcosx_sun.size!=0:
+                        dcosx = self.ObjC.dcosx_sun
+                        dcosy = self.ObjC.dcosy_sun
+                        ha = self.ObjC.ha_sun*4.0
+                        time = self.ObjC.time_sun
+                        width_star = 2. # half width in minutes
+                        otitle = 'Sun cut'
+#                    else:
+#                        print "Sun is not passing over Observatory"
+
+                elif io==2:
+                    if self.ObjC.dcosx_moon.size!=0:
+                        dcosx = self.ObjC.dcosx_moon
+                        dcosy = self.ObjC.dcosy_moon
+                        ha = self.ObjC.ha_moon*4
+                        time = self.ObjC.time_moon
+                        m_distance = 404114.6  # distance to the Earth in km
+                        m_diameter = 1734.4    # diameter in km.
+                        width_star = numpy.arctan(m_distance/m_diameter)
+                        width_star = width_star/2./Misc_Routines.CoFactors.d2r*4.
+                        otitle = 'Moon cut'
+#                    else:
+#                        print "Moon is not passing over Observatory"
+
+                elif io==3:
+                    if self.ObjC.dcosx_hydra.size!=0:
+                        dcosx = self.ObjC.dcosx_hydra
+                        dcosy = self.ObjC.dcosy_hydra
+                        ha = self.ObjC.ha_hydra*4.
+                        time = self.ObjC.time_hydra
+                        width_star = 0.25 # half width in minutes
+                        otitle = 'Hydra cut'
+#                    else:
+#                        print "Hydra is not passing over Observatory"
+
+                elif io==4:
+                    if self.ObjC.dcosx_galaxy.size!=0:
+                        dcosx = self.ObjC.dcosx_galaxy
+                        dcosy = self.ObjC.dcosy_galaxy
+                        ha = self.ObjC.ha_galaxy*4.
+                        time = self.ObjC.time_galaxy
+                        width_star = 25. # half width in minutes
+                        otitle = 'Galaxy cut'
+#                    else:
+#                        print "Galaxy center is not passing over Jicamarca"
+#
+#
+                hour = numpy.int32(time)
+                mins = numpy.int32((time - hour)*60.)
+                secs = numpy.int32(((time - hour)*60. - mins)*60.)
+
+                ObjT = TimeTools.Time(self.year,self.month,self.dom,hour,mins,secs)
+                subtitle = ObjT.change2strdate()
+
+                star_cut = numpy.exp(-(star_ha/width_star)**2./2.)
+
+                pol = scipy.polyfit(ha,dcosx,3.)
+                polx = numpy.poly1d(pol); newdcosx = polx(newha)
+                pol = scipy.polyfit(ha,dcosy,3.)
+                poly = numpy.poly1d(pol);newdcosy = poly(newha)
+
+                patterns = []
+                for icut in numpy.arange(self.pattern.size):
+                    # Getting Antenna cut.
+                    Obj = JroPattern(dcosx=newdcosx,
+                                        dcosy=newdcosy,
+                                        getcut=1,
+                                        pattern=self.pattern[icut],
+                                        path=self.path,
+                                        filename=self.filename[icut])
+
+                    Obj.getPattern()
+
+                    patterns.append(Obj.pattern)
+
+
+                ObjCut.drawCut(io,
+                               patterns,
+                               self.pattern.size,
+                               newha,
+                               otitle,
+                               subtitle,
+                               self.ptitle)
+
+        ObjCut.saveFig(self.path4plotname,self.plotname1)
+
+    def plotSkyNoise(self):
+#       print 'Creating SkyNoise map over Jicamarca'
+        dom = self.dom
+        month = self.month
+        year = self.year
+
+        julian = TimeTools.Time(year,month,dom).change2julday()
+
+        [powr,time, lst] = Astro_Coords.CelestialBodies().skyNoise(julian)
+
+        Graphics_OverJro.SkyNoisePlot([year,month,dom],powr,time,lst).getPlot(self.path4plotname,self.plotname2)
+
+
+    def outputHead(self,title):
+        print "Content-Type: text/html"
+        print
+        self.scriptHeaders = 1
+        print '<html>'
+        print '<head>'
+        print '\t<title>' + title + '</title>'
+        print '<style type="text/css">'
+        print 'body'
+        print '{'
+        print 'background-color:#ffffff;'
+        print '}'
+        print 'h1'
+        print '{'
+        print 'color:black;'
+        print 'font-size:18px;'
+        print 'text-align:center;'
+        print '}'
+        print 'p'
+        print '{'
+        print 'font-family:"Arial";'
+        print 'font-size:16px;'
+        print 'color:black;'
+        print '}'
+        print '</style>'
+#        self.printJavaScript()
+        print '</head>'
+
+    def printJavaScript(self):
+        print
+
+    def printBody(self):
+        print '<body>'
+#        print '<h1>Test Input Parms</h1>'
+#        for key in self.madForm.keys():
+#                #print '<p> name=' + str(key)
+#                if type(self.madForm.getvalue(key)) == types.ListType:
+#                    for value in self.madForm.getvalue(key):
+#                        print '<p> name=' + str(key) + \
+#                              ' value=' + value + ''
+#                else:
+#                    print '<p> name=' + str(key) + \
+#                              ' value=' + str(cgi.escape(self.madForm.getvalue(key))) + ''
+
+        print '<form name="form1" method="post" target="showFrame">'
+        print '    <div align="center">'
+        print '        <table width=98% border="1" cellpadding="1">'
+        print '            <tr>'
+        print '                <td colspan="2" align="center">'
+        if self.showType == 0:
+            print '                    <IMG SRC="%s" BORDER="0" >'%(os.path.join(os.sep + self.__tmpDir,self.plotname0))
+        if self.showType == 1:
+            print '                    <IMG SRC="%s" BORDER="0" >'%(os.path.join(os.sep + self.__tmpDir,self.plotname1))
+        if self.showType == 2:
+            print '                    <IMG SRC="%s" BORDER="0" >'%(os.path.join(os.sep + self.__tmpDir,self.plotname2))
+        print '                </td>'
+        print '            </tr>'
+        print '        </table>'
+        print '    </div>'
+        print '</form>'
+
+        print '</body>'
+        print '</html>'
+
+    #def execute(self, serverdocspath, tmpdir, currentdate, finalpath, showType=0, maxphi=5.0, objects="[1,1]", heights="[150,500,1000]"):
+    def setInputParameters(self, serverpath, currentdate, finalpath, showType=0, maxphi=5.0, objects="[1,1]", heights="[150,500,1000]"):
+        self.objects=[]
+        self.heights=[]
+        #self.__serverdocspath = serverdocspath
+        self.__serverdocspath = os.path.split(serverpath)[0]
+        #self.__tmpDir = tmpdir
+        self.__tmpDir = os.path.split(serverpath)[1]
+        self.showType = int(showType)
+        self.year = int(currentdate.strftime("%Y")) # Get year of currentdate
+        self.month = int(currentdate.strftime("%m")) # Get month of currentdate
+        self.dom = int(currentdate.strftime("%d")) # Get day of currentdate
+        self.filename = os.path.split(finalpath)[1]
+        self.path = os.path.split(finalpath)[0]
+        self.maxphi = float(maxphi)
+
+        tmp_objects = (objects.replace("[","")).replace("]","")
+        for s in tmp_objects.split(','):
+            self.objects.append(int(s))
+
+        tmp_heights = (heights.replace("[","")).replace("]","")
+        for s in tmp_heights.split(','):
+            self.heights.append(float(s))
+        self.heights = numpy.array(self.heights)
+
+    def setupParameters(self):
+        self.initParameters()
+
+    def initParametersCGI(self):
+        self.setScriptState()
+        self.initParameters()
+
+    def execute(self):
+        if self.showType == 0 or self.showType == 1:
+            self.initParameters1()
+            self.plotPattern()
+
+            if numpy.sum(self.show_object>0) != 0:
+                self.plotBfield()
+                self.plotCelestial()
+
+            if numpy.sum(self.show_object>1) != 0:
+                self.plotAntennaCuts()
+
+        if self.showType == 2:
+            self.plotSkyNoise()
+
+    def getPlot(self):
+        print "GETPLot"
+        print os.path.join(self.__serverdocspath,self.__tmpDir,self.plotname0)
+        return os.path.join(self.__serverdocspath,self.__tmpDir,self.plotname0)
+
+
+if __name__ == '__main__':
+
+    # Script overJroShow.py
+    # This script only calls the init function of the class overJroShow()
+    # All work is done by the init function
+
+    newOverJro = overJroShow()
+    newOverJro.initParametersCGI()
+    newOverJro.execute()
diff --git a/apps/abs/utils/resource/attenuation.txt b/apps/abs/utils/resource/attenuation.txt
new file mode 100644
index 0000000..1227bb0
--- /dev/null
+++ b/apps/abs/utils/resource/attenuation.txt
@@ -0,0 +1,17 @@
+attenuation = numpy.array([[[-21.25,-15.25,-9.25,-3.25,03.25,09.25,15.25,21.25],
+		         [-21.25,-15.25,-9.25,-3.25,03.25,09.25,15.25,21.25],
+   		         [-21.25,-15.25,-9.25,-3.25,03.25,09.25,15.25,21.25],
+		         [-21.25,-15.25,-9.25,-3.25,03.25,09.25,15.25,21.25],
+		         [-21.25,-15.25,-9.25,-3.25,03.25,09.25,15.25,21.25],
+		         [-21.25,-15.25,-9.25,-3.25,03.25,09.25,15.25,21.25],
+		         [-21.25,-15.25,-9.25,-3.25,03.25,09.25,15.25,21.25],
+		         [-21.25,-15.25,-9.25,-3.25,03.25,09.25,15.25,21.25]],
+       		         [[21.25,21.25,21.25,21.25,21.25,21.25,21.25,21.25],
+		         [15.25,15.25,15.25,15.25,15.25,15.25,15.25,15.25],
+		         [09.25,09.25,09.25,09.25,09.25,09.25,09.25,09.25],
+		         [03.25,03.25,03.25,03.25,03.25,03.25,03.25,03.25],
+		         [-03.25,-03.25,-03.25,-03.25,-03.25,-03.25,-03.25,-03.25],
+		         [-09.25,-09.25,-09.25,-09.25,-09.25,-09.25,-09.25,-09.25],
+		         [-15.25,-15.25,-15.25,-15.25,-15.25,-15.25,-15.25,-15.25],
+    		         [-21.25,-21.25,-21.25,-21.25,-21.25,-21.25,-21.25,-21.25]]])
+
diff --git a/apps/abs/utils/resource/galaxy.txt b/apps/abs/utils/resource/galaxy.txt
new file mode 100644
index 0000000..9ba726c
--- /dev/null
+++ b/apps/abs/utils/resource/galaxy.txt
@@ -0,0 +1,99 @@
+0000    13.00
+0015    13.00
+0030    13.00
+0045    13.00
+0060    13.00
+0075    12.50
+0090    12.50
+0105    12.50
+0120    11.50
+0135    11.00
+0150    10.50
+0165    10.00
+0180    10.00
+0195    10.00
+0210     9.00
+0225     8.50
+0240     8.50
+0255     8.50
+0270     8.50
+0285     8.00
+0300     8.00
+0315     8.50
+0330     9.00
+0345    10.00
+0360    11.00
+0375    12.50
+0390    14.50
+0405    17.00
+0420    18.00
+0435    17.00
+0450    15.50
+0465    15.00
+0480    14.00
+0495    12.50
+0510    11.00
+0525    10.00
+0540     9.50
+0555     9.00
+0570    23.00
+0585     8.00
+0600    10.00
+0615    10.50
+0630    10.00
+0645     9.00
+0660     8.50
+0675     9.00
+0690    10.00
+0705    11.00
+0720    12.00
+0735    12.50
+0750    13.50
+0765    13.00
+0780    13.00
+0795    13.00
+0810    13.00
+0825    12.50
+0840    12.00
+0855    12.50
+0870    13.00
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+0915    17.00
+0930    18.00
+0945    17.50
+0960    16.50
+0975    16.50
+0990    17.00
+0990    17.00
+1005    17.00
+1020    20.00
+1035    26.00
+1050    30.00
+1065    36.00
+1080    47.00
+1095    71.00
+1102    60.00
+1110    77.00
+1115    87.00
+1120    83.00
+1130    60.00
+1140    50.00
+1155    35.00
+1170    28.00
+1185    21.00
+1200    18.00
+1215    16.00
+1237    15.50
+1260    15.00
+1275    15.50
+1290    16.00
+1305    15.50
+1320    15.00
+1335    14.50
+1350    14.00
+1365    13.00
+1380    12.00
+1395    12.50
+1410    13.00
+1425    12.50
diff --git a/apps/abs/utils/resource/igrf10coeffs.dat b/apps/abs/utils/resource/igrf10coeffs.dat
new file mode 100644
index 0000000000000000000000000000000000000000..9700b5b7314260404602b20c92b6ecee79021433
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diff --git a/apps/abs/utils/resource/igrf10coeffs.txt b/apps/abs/utils/resource/igrf10coeffs.txt
new file mode 100644
index 0000000..3410721
--- /dev/null
+++ b/apps/abs/utils/resource/igrf10coeffs.txt
@@ -0,0 +1,196 @@
+g/h  n  m   1900.0   1905.0   1910.0   1915.0   1920.0   1925.0   1930.0   1935.0   1940.0   1945.0   1950.0   1955.0   1960.0   1965.0   1970.0   1975.0   1980.0   1985.0   1990.0   1995.0   2000.0   2005.0      SV
+g    1  0   -31543   -31464   -31354   -31212   -31060   -30926   -30805   -30715   -30654   -30594   -30554   -30500   -30421   -30334   -30220   -30100   -29992   -29873   -29775   -29692 -29619.4 -29556.8      8.8
+g    1  1    -2298    -2298    -2297    -2306    -2317    -2318    -2316    -2306    -2292    -2285    -2250    -2215    -2169    -2119    -2068    -2013    -1956    -1905    -1848    -1784  -1728.2  -1671.8     10.8
+h    1  1     5922     5909     5898     5875     5845     5817     5808     5812     5821     5810     5815     5820     5791     5776     5737     5675     5604     5500     5406     5306   5186.1   5080.0    -21.3
+g    2  0     -677     -728     -769     -802     -839     -893     -951    -1018    -1106    -1244    -1341    -1440    -1555    -1662    -1781    -1902    -1997    -2072    -2131    -2200  -2267.7  -2340.5    -15.0
+g    2  1     2905     2928     2948     2956     2959     2969     2980     2984     2981     2990     2998     3003     3002     2997     3000     3010     3027     3044     3059     3070   3068.4   3047.0     -6.9
+h    2  1    -1061    -1086    -1128    -1191    -1259    -1334    -1424    -1520    -1614    -1702    -1810    -1898    -1967    -2016    -2047    -2067    -2129    -2197    -2279    -2366  -2481.6  -2594.9    -23.3
+g    2  2      924     1041     1176     1309     1407     1471     1517     1550     1566     1578     1576     1581     1590     1594     1611     1632     1663     1687     1686     1681   1670.9   1656.9     -1.0
+h    2  2     1121     1065     1000      917      823      728      644      586      528      477      381      291      206      114       25      -68     -200     -306     -373     -413   -458.0   -516.7    -14.0
+g    3  0     1022     1037     1058     1084     1111     1140     1172     1206     1240     1282     1297     1302     1302     1297     1287     1276     1281     1296     1314     1335   1339.6   1335.7     -0.3
+g    3  1    -1469    -1494    -1524    -1559    -1600    -1645    -1692    -1740    -1790    -1834    -1889    -1944    -1992    -2038    -2091    -2144    -2180    -2208    -2239    -2267  -2288.0  -2305.3     -3.1
+h    3  1     -330     -357     -389     -421     -445     -462     -480     -494     -499     -499     -476     -462     -414     -404     -366     -333     -336     -310     -284     -262   -227.6   -200.4      5.4
+g    3  2     1256     1239     1223     1212     1205     1202     1205     1215     1232     1255     1274     1288     1289     1292     1278     1260     1251     1247     1248     1249   1252.1   1246.8     -0.9
+h    3  2        3       34       62       84      103      119      133      146      163      186      206      216      224      240      251      262      271      284      293      302    293.4    269.3     -6.5
+g    3  3      572      635      705      778      839      881      907      918      916      913      896      882      878      856      838      830      833      829      802      759    714.5    674.4     -6.8
+h    3  3      523      480      425      360      293      229      166      101       43      -11      -46      -83     -130     -165     -196     -223     -252     -297     -352     -427   -491.1   -524.5     -2.0
+g    4  0      876      880      884      887      889      891      896      903      914      944      954      958      957      957      952      946      938      936      939      940    932.3    919.8     -2.5
+g    4  1      628      643      660      678      695      711      727      744      762      776      792      796      800      804      800      791      782      780      780      780    786.8    798.2      2.8
+h    4  1      195      203      211      218      220      216      205      188      169      144      136      133      135      148      167      191      212      232      247      262    272.6    281.4      2.0
+g    4  2      660      653      644      631      616      601      584      565      550      544      528      510      504      479      461      438      398      361      325      290    250.0    211.5     -7.1
+h    4  2      -69      -77      -90     -109     -134     -163     -195     -226     -252     -276     -278     -274     -278     -269     -266     -265     -257     -249     -240     -236   -231.9   -225.8      1.8
+g    4  3     -361     -380     -400     -416     -424     -426     -422     -415     -405     -421     -408     -397     -394     -390     -395     -405     -419     -424     -423     -418   -403.0   -379.5      5.9
+h    4  3     -210     -201     -189     -173     -153     -130     -109      -90      -72      -55      -37      -23        3       13       26       39       53       69       84       97    119.8    145.7      5.6
+g    4  4      134      146      160      178      199      217      234      249      265      304      303      290      269      252      234      216      199      170      141      122    111.3    100.2     -3.2
+h    4  4      -75      -65      -55      -51      -57      -70      -90     -114     -141     -178     -210     -230     -255     -269     -279     -288     -297     -297     -299     -306   -303.8   -304.7      0.0
+g    5  0     -184     -192     -201     -211     -221     -230     -237     -241     -241     -253     -240     -229     -222     -219     -216     -218     -218     -214     -214     -214   -218.8   -227.6     -2.6
+g    5  1      328      328      327      327      326      326      327      329      334      346      349      360      362      358      359      356      357      355      353      352    351.4    354.4      0.4
+h    5  1     -210     -193     -172     -148     -122      -96      -72      -51      -33      -12        3       15       16       19       26       31       46       47       46       46     43.8     42.7      0.1
+g    5  2      264      259      253      245      236      226      218      211      208      194      211      230      242      254      262      264      261      253      245      235    222.3    208.8     -3.0
+h    5  2       53       56       57       58       58       58       60       64       71       95      103      110      125      128      139      148      150      150      154      165    171.9    179.8      1.8
+g    5  3        5       -1       -9      -16      -23      -28      -32      -33      -33      -20      -20      -23      -26      -31      -42      -59      -74      -93     -109     -118   -130.4   -136.6     -1.2
+h    5  3      -33      -32      -33      -34      -38      -44      -53      -64      -75      -67      -87      -98     -117     -126     -139     -152     -151     -154     -153     -143   -133.1   -123.0      2.0
+g    5  4      -86      -93     -102     -111     -119     -125     -131     -136     -141     -142     -147     -152     -156     -157     -160     -159     -162     -164     -165     -166   -168.6   -168.3      0.2
+h    5  4     -124     -125     -126     -126     -125     -122     -118     -115     -113     -119     -122     -121     -114      -97      -91      -83      -78      -75      -69      -55    -39.3    -19.5      4.5
+g    5  5      -16      -26      -38      -51      -62      -69      -74      -76      -76      -82      -76      -69      -63      -62      -56      -49      -48      -46      -36      -17    -12.9    -14.1     -0.6
+h    5  5        3       11       21       32       43       51       58       64       69       82       80       78       81       81       83       88       92       95       97      107    106.3    103.6     -1.0
+g    6  0       63       62       62       61       61       61       60       59       57       59       54       47       46       45       43       45       48       53       61       68     72.3     72.9     -0.8
+g    6  1       61       60       58       57       55       54       53       53       54       57       57       57       58       61       64       66       66       65       65       67     68.2     69.6      0.2
+h    6  1       -9       -7       -5       -2        0        3        4        4        4        6       -1       -9      -10      -11      -12      -13      -15      -16      -16      -17    -17.4    -20.2     -0.4
+g    6  2      -11      -11      -11      -10      -10       -9       -9       -8       -7        6        4        3        1        8       15       28       42       51       59       68     74.2     76.6     -0.2
+h    6  2       83       86       89       93       96       99      102      104      105      100       99       96       99      100      100       99       93       88       82       72     63.7     54.7     -1.9
+g    6  3     -217     -221     -224     -228     -233     -238     -242     -246     -249     -246     -247     -247     -237     -228     -212     -198     -192     -185     -178     -170   -160.9   -151.1      2.1
+h    6  3        2        4        5        8       11       14       19       25       33       16       33       48       60       68       72       75       71       69       69       67     65.1     63.7     -0.4
+g    6  4      -58      -57      -54      -51      -46      -40      -32      -25      -18      -25      -16       -8       -1        4        2        1        4        4        3       -1     -5.9    -15.0     -2.1
+h    6  4      -35      -32      -29      -26      -22      -18      -16      -15      -15       -9      -12      -16      -20      -32      -37      -41      -43      -48      -52      -58    -61.2    -63.4     -0.4
+g    6  5       59       57       54       49       44       39       32       25       18       21       12        7       -2        1        3        6       14       16       18       19     16.9     14.7     -0.4
+h    6  5       36       32       28       23       18       13        8        4        0      -16      -12      -12      -11       -8       -6       -4       -2       -1        1        1      0.7      0.0     -0.2
+g    6  6      -90      -92      -95      -98     -101     -103     -104     -106     -107     -104     -105     -107     -113     -111     -112     -111     -108     -102      -96      -93    -90.4    -86.4      1.3
+h    6  6      -69      -67      -65      -62      -57      -52      -46      -40      -33      -39      -30      -24      -17       -7        1       11       17       21       24       36     43.8     50.3      0.9
+g    7  0       70       70       71       72       73       73       74       74       74       70       65       65       67       75       72       71       72       74       77       77     79.0     79.8     -0.4
+g    7  1      -55      -54      -54      -54      -54      -54      -54      -53      -53      -40      -55      -56      -56      -57      -57      -56      -59      -62      -64      -72    -74.0    -74.4      0.0
+h    7  1      -45      -46      -47      -48      -49      -50      -51      -52      -52      -45      -35      -50      -55      -61      -70      -77      -82      -83      -80      -69    -64.6    -61.4      0.8
+g    7  2        0        0        1        2        2        3        4        4        4        0        2        2        5        4        1        1        2        3        2        1      0.0     -1.4     -0.2
+h    7  2      -13      -14      -14      -14      -14      -14      -15      -17      -18      -18      -17      -24      -28      -27      -27      -26      -27      -27      -26      -25    -24.2    -22.5      0.4
+g    7  3       34       33       32       31       29       27       25       23       20        0        1       10       15       13       14       16       21       24       26       28     33.3     38.6      1.1
+h    7  3      -10      -11      -12      -12      -13      -14      -14      -14      -14        2        0       -4       -6       -2       -4       -5       -5       -2        0        4      6.2      6.9      0.1
+g    7  4      -41      -41      -40      -38      -37      -35      -34      -33      -31      -29      -40      -32      -32      -26      -22      -14      -12       -6       -1        5      9.1     12.3      0.6
+h    7  4       -1        0        1        2        4        5        6        7        7        6       10        8        7        6        8       10       16       20       21       24     24.0     25.4      0.2
+g    7  5      -21      -20      -19      -18      -16      -14      -12      -11       -9      -10       -7      -11       -7       -6       -2        0        1        4        5        4      6.9      9.4      0.4
+h    7  5       28       28       28       28       28       29       29       29       29       28       36       28       23       26       23       22       18       17       17       17     14.8     10.9     -0.9
+g    7  6       18       18       18       19       19       19       18       18       17       15        5        9       17       13       13       12       11       10        9        8      7.3      5.5     -0.5
+h    7  6      -12      -12      -13      -15      -16      -17      -18      -19      -20      -17      -18      -20      -18      -23      -23      -23      -23      -23      -23      -24    -25.4    -26.4     -0.3
+g    7  7        6        6        6        6        6        6        6        6        5       29       19       18        8        1       -2       -5       -2        0        0       -2     -1.2      2.0      0.9
+h    7  7      -22      -22      -22      -22      -22      -21      -20      -19      -19      -22      -16      -18      -17      -12      -11      -12      -10       -7       -4       -6     -5.8     -4.8      0.3
+g    8  0       11       11       11       11       11       11       11       11       11       13       22       11       15       13       14       14       18       21       23       25     24.4     24.8     -0.2
+g    8  1        8        8        8        8        7        7        7        7        7        7       15        9        6        5        6        6        6        6        5        6      6.6      7.7      0.2
+h    8  1        8        8        8        8        8        8        8        8        8       12        5       10       11        7        7        6        7        8       10       11     11.9     11.2     -0.2
+g    8  2       -4       -4       -4       -4       -3       -3       -3       -3       -3       -8       -4       -6       -4       -4       -2       -1        0        0       -1       -6     -9.2    -11.4     -0.2
+h    8  2      -14      -15      -15      -15      -15      -15      -15      -15      -14      -21      -22      -15      -14      -12      -15      -16      -18      -19      -19      -21    -21.5    -21.0      0.2
+g    8  3       -9       -9       -9       -9       -9       -9       -9       -9      -10       -5       -1      -14      -11      -14      -13      -12      -11      -11      -10       -9     -7.9     -6.8      0.2
+h    8  3        7        7        6        6        6        6        5        5        5      -12        0        5        7        9        6        4        4        5        6        8      8.5      9.7      0.2
+g    8  4        1        1        1        2        2        2        2        1        1        9       11        6        2        0       -3       -8       -7       -9      -12      -14    -16.6    -18.0     -0.2
+h    8  4      -13      -13      -13      -13      -14      -14      -14      -15      -15       -7      -21      -23      -18      -16      -17      -19      -22      -23      -22      -23    -21.5    -19.8      0.4
+g    8  5        2        2        2        3        4        4        5        6        6        7       15       10       10        8        5        4        4        4        3        9      9.1     10.0      0.2
+h    8  5        5        5        5        5        5        5        5        5        5        2       -8        3        4        4        6        6        9       11       12       15     15.5     16.1      0.2
+g    8  6       -9       -8       -8       -8       -7       -7       -6       -6       -5      -10      -13       -7       -5       -1        0        0        3        4        4        6      7.0      9.4      0.5
+h    8  6       16       16       16       16       17       17       18       18       19       18       17       23       23       24       21       18       16       14       12       11      8.9      7.7     -0.3
+g    8  7        5        5        5        6        6        7        8        8        9        7        5        6       10       11       11       10        6        4        2       -5     -7.9    -11.4     -0.7
+h    8  7       -5       -5       -5       -5       -5       -5       -5       -5       -5        3       -4       -4        1       -3       -6      -10      -13      -15      -16      -16    -14.9    -12.8      0.5
+g    8  8        8        8        8        8        8        8        8        7        7        2       -1        9        8        4        3        1       -1       -4       -6       -7     -7.0     -5.0      0.5
+h    8  8      -18      -18      -18      -18      -19      -19      -19      -19      -19      -11      -17      -13      -20      -17      -16      -17      -15      -11      -10       -4     -2.1     -0.1      0.4
+g    9  0        8        8        8        8        8        8        8        8        8        5        3        4        4        8        8        7        5        5        4        4      5.0      5.6
+g    9  1       10       10       10       10       10       10       10       10       10      -21       -7        9        6       10       10       10       10       10        9        9      9.4      9.8
+h    9  1      -20      -20      -20      -20      -20      -20      -20      -20      -21      -27      -24      -11      -18      -22      -21      -21      -21      -21      -20      -20    -19.7    -20.1
+g    9  2        1        1        1        1        1        1        1        1        1        1       -1       -4        0        2        2        2        1        1        1        3      3.0      3.6
+h    9  2       14       14       14       14       14       14       14       15       15       17       19       12       12       15       16       16       16       15       15       15     13.4     12.9
+g    9  3      -11      -11      -11      -11      -11      -11      -12      -12      -12      -11      -25       -5       -9      -13      -12      -12      -12      -12      -12      -10     -8.4     -7.0
+h    9  3        5        5        5        5        5        5        5        5        5       29       12        7        2        7        6        7        9        9       11       12     12.5     12.7
+g    9  4       12       12       12       12       12       12       12       11       11        3       10        2        1       10       10       10        9        9        9        8      6.3      5.0
+h    9  4       -3       -3       -3       -3       -3       -3       -3       -3       -3       -9        2        6        0       -4       -4       -4       -5       -6       -7       -6     -6.2     -6.7
+g    9  5        1        1        1        1        1        1        1        1        1       16        5        4        4       -1       -1       -1       -3       -3       -4       -8     -8.9    -10.8
+h    9  5       -2       -2       -2       -2       -2       -2       -2       -3       -3        4        2       -2       -3       -5       -5       -5       -6       -6       -7       -8     -8.4     -8.1
+g    9  6       -2       -2       -2       -2       -2       -2       -2       -2       -2       -3       -5        1       -1       -1        0       -1       -1       -1       -2       -1     -1.5     -1.3
+h    9  6        8        8        8        8        9        9        9        9        9        9        8       10        9       10       10       10        9        9        9        8      8.4      8.1
+g    9  7        2        2        2        2        2        2        3        3        3       -4       -2        2       -2        5        3        4        7        7        7       10      9.3      8.7
+h    9  7       10       10       10       10       10       10       10       11       11        6        8        7        8       10       11       11       10        9        8        5      3.8      2.9
+g    9  8       -1        0        0        0        0        0        0        0        1       -3        3        2        3        1        1        1        2        1        1       -2     -4.3     -6.7
+h    9  8       -2       -2       -2       -2       -2       -2       -2       -2       -2        1      -11       -6        0       -4       -2       -3       -6       -7       -7       -8     -8.2     -7.9
+g    9  9       -1       -1       -1       -1       -1       -1       -2       -2       -2       -4        8        5       -1       -2       -1       -2       -5       -5       -6       -8     -8.2     -9.2
+h    9  9        2        2        2        2        2        2        2        2        2        8       -7        5        5        1        1        1        2        2        2        3      4.8      5.9
+g   10  0       -3       -3       -3       -3       -3       -3       -3       -3       -3       -3       -8       -3        1       -2       -3       -3       -4       -4       -3       -3     -2.6     -2.2
+g   10  1       -4       -4       -4       -4       -4       -4       -4       -4       -4       11        4       -5       -3       -3       -3       -3       -4       -4       -4       -6     -6.0     -6.3
+h   10  1        2        2        2        2        2        2        2        2        2        5       13       -4        4        2        1        1        1        1        2        1      1.7      2.4
+g   10  2        2        2        2        2        2        2        2        2        2        1       -1       -1        4        2        2        2        2        3        2        2      1.7      1.6
+h   10  2        1        1        1        1        1        1        1        1        1        1       -2        0        1        1        1        1        0        0        1        0      0.0      0.2
+g   10  3       -5       -5       -5       -5       -5       -5       -5       -5       -5        2       13        2        0       -5       -5       -5       -5       -5       -5       -4     -3.1     -2.5
+h   10  3        2        2        2        2        2        2        2        2        2      -20      -10       -8        0        2        3        3        3        3        3        4      4.0      4.4
+g   10  4       -2       -2       -2       -2       -2       -2       -2       -2       -2       -5       -4       -3       -1       -2       -1       -2       -2       -2       -2       -1     -0.5     -0.1
+h   10  4        6        6        6        6        6        6        6        6        6       -1        2       -2        2        6        4        4        6        6        6        5      4.9      4.7
+g   10  5        6        6        6        6        6        6        6        6        6       -1        4        7        4        4        6        5        5        5        4        4      3.7      3.0
+h   10  5       -4       -4       -4       -4       -4       -4       -4       -4       -4       -6       -3       -4       -5       -4       -4       -4       -4       -4       -4       -5     -5.9     -6.5
+g   10  6        4        4        4        4        4        4        4        4        4        8       12        4        6        4        4        4        3        3        3        2      1.0      0.3
+h   10  6        0        0        0        0        0        0        0        0        0        6        6        1        1        0        0       -1        0        0        0       -1     -1.2     -1.0
+g   10  7        0        0        0        0        0        0        0        0        0       -1        3       -2        1        0        1        1        1        1        1        2      2.0      2.1
+h   10  7       -2       -2       -2       -2       -2       -2       -2       -1       -1       -4       -3       -3       -1       -2       -1       -1       -1       -1       -2       -2     -2.9     -3.4
+g   10  8        2        2        2        1        1        1        1        2        2       -3        2        6       -1        2        0        0        2        2        3        5      4.2      3.9
+h   10  8        4        4        4        4        4        4        4        4        4       -2        6        7        6        3        3        3        4        4        3        1      0.2     -0.9
+g   10  9        2        2        2        2        3        3        3        3        3        5       10       -2        2        2        3        3        3        3        3        1      0.3     -0.1
+h   10  9        0        0        0        0        0        0        0        0        0        0       11       -1        0        0        1        1        0        0       -1       -2     -2.2     -2.3
+g   10 10        0        0        0        0        0        0        0        0        0       -2        3        0        0        0       -1       -1        0        0        0        0     -1.1     -2.2
+h   10 10       -6       -6       -6       -6       -6       -6       -6       -6       -6       -2        8       -3       -7       -6       -4       -5       -6       -6       -6       -7     -7.4     -8.0
+g   11  0                                                                                                                                                                                          2.7      2.9
+g   11  1                                                                                                                                                                                         -1.7     -1.6
+h   11  1                                                                                                                                                                                          0.1      0.3
+g   11  2                                                                                                                                                                                         -1.9     -1.7
+h   11  2                                                                                                                                                                                          1.3      1.4
+g   11  3                                                                                                                                                                                          1.5      1.5
+h   11  3                                                                                                                                                                                         -0.9     -0.7
+g   11  4                                                                                                                                                                                         -0.1     -0.2
+h   11  4                                                                                                                                                                                         -2.6     -2.4
+g   11  5                                                                                                                                                                                          0.1      0.2
+h   11  5                                                                                                                                                                                          0.9      0.9
+g   11  6                                                                                                                                                                                         -0.7     -0.7
+h   11  6                                                                                                                                                                                         -0.7     -0.6
+g   11  7                                                                                                                                                                                          0.7      0.5
+h   11  7                                                                                                                                                                                         -2.8     -2.7
+g   11  8                                                                                                                                                                                          1.7      1.8
+h   11  8                                                                                                                                                                                         -0.9     -1.0
+g   11  9                                                                                                                                                                                          0.1      0.1
+h   11  9                                                                                                                                                                                         -1.2     -1.5
+g   11 10                                                                                                                                                                                          1.2      1.0
+h   11 10                                                                                                                                                                                         -1.9     -2.0
+g   11 11                                                                                                                                                                                          4.0      4.1
+h   11 11                                                                                                                                                                                         -0.9     -1.4
+g   12  0                                                                                                                                                                                         -2.2     -2.2
+g   12  1                                                                                                                                                                                         -0.3     -0.3
+h   12  1                                                                                                                                                                                         -0.4     -0.5
+g   12  2                                                                                                                                                                                          0.2      0.3
+h   12  2                                                                                                                                                                                          0.3      0.3
+g   12  3                                                                                                                                                                                          0.9      0.9
+h   12  3                                                                                                                                                                                          2.5      2.3
+g   12  4                                                                                                                                                                                         -0.2     -0.4
+h   12  4                                                                                                                                                                                         -2.6     -2.7
+g   12  5                                                                                                                                                                                          0.9      1.0
+h   12  5                                                                                                                                                                                          0.7      0.6
+g   12  6                                                                                                                                                                                         -0.5     -0.4
+h   12  6                                                                                                                                                                                          0.3      0.4
+g   12  7                                                                                                                                                                                          0.3      0.5
+h   12  7                                                                                                                                                                                          0.0      0.0
+g   12  8                                                                                                                                                                                         -0.3     -0.3
+h   12  8                                                                                                                                                                                          0.0      0.0
+g   12  9                                                                                                                                                                                         -0.4     -0.4
+h   12  9                                                                                                                                                                                          0.3      0.3
+g   12 10                                                                                                                                                                                         -0.1      0.0
+h   12 10                                                                                                                                                                                         -0.9     -0.8
+g   12 11                                                                                                                                                                                         -0.2     -0.4
+h   12 11                                                                                                                                                                                         -0.4     -0.4
+g   12 12                                                                                                                                                                                         -0.4      0.0
+h   12 12                                                                                                                                                                                          0.8      1.0
+g   13  0                                                                                                                                                                                         -0.2     -0.2
+g   13  1                                                                                                                                                                                         -0.9     -0.9
+h   13  1                                                                                                                                                                                         -0.9     -0.7
+g   13  2                                                                                                                                                                                          0.3      0.3
+h   13  2                                                                                                                                                                                          0.2      0.3
+g   13  3                                                                                                                                                                                          0.1      0.3
+h   13  3                                                                                                                                                                                          1.8      1.7
+g   13  4                                                                                                                                                                                         -0.4     -0.4
+h   13  4                                                                                                                                                                                         -0.4     -0.5
+g   13  5                                                                                                                                                                                          1.3      1.2
+h   13  5                                                                                                                                                                                         -1.0     -1.0
+g   13  6                                                                                                                                                                                         -0.4     -0.4
+h   13  6                                                                                                                                                                                         -0.1      0.0
+g   13  7                                                                                                                                                                                          0.7      0.7
+h   13  7                                                                                                                                                                                          0.7      0.7
+g   13  8                                                                                                                                                                                         -0.4     -0.3
+h   13  8                                                                                                                                                                                          0.3      0.2
+g   13  9                                                                                                                                                                                          0.3      0.4
+h   13  9                                                                                                                                                                                          0.6      0.6
+g   13 10                                                                                                                                                                                         -0.1     -0.1
+h   13 10                                                                                                                                                                                          0.3      0.4
+g   13 11                                                                                                                                                                                          0.4      0.4
+h   13 11                                                                                                                                                                                         -0.2     -0.2
+g   13 12                                                                                                                                                                                          0.0     -0.1
+h   13 12                                                                                                                                                                                         -0.5     -0.5
+g   13 13                                                                                                                                                                                          0.1     -0.3
+h   13 13                                                                                                                                                                                         -0.9     -1.0
diff --git a/apps/abs/utils/resource/igrf11coeffs.txt b/apps/abs/utils/resource/igrf11coeffs.txt
new file mode 100644
index 0000000..3acabb2
--- /dev/null
+++ b/apps/abs/utils/resource/igrf11coeffs.txt
@@ -0,0 +1,196 @@
+g/h n m 1900.0 1905.0 1910.0 1915.0 1920.0 1925.0 1930.0 1935.0 1940.0 1945.0 1950.0 1955.0 1960.0 1965.0 1970.0 1975.0 1980.0 1985.0 1990.0 1995.0   2000.0    2005.0   2010.0     SV
+g  1  0 -31543 -31464 -31354 -31212 -31060 -30926 -30805 -30715 -30654 -30594 -30554 -30500 -30421 -30334 -30220 -30100 -29992 -29873 -29775 -29692 -29619.4 -29554.63 -29496.5   11.4
+g  1  1  -2298  -2298  -2297  -2306  -2317  -2318  -2316  -2306  -2292  -2285  -2250  -2215  -2169  -2119  -2068  -2013  -1956  -1905  -1848  -1784  -1728.2  -1669.05  -1585.9   16.7
+h  1  1   5922   5909   5898   5875   5845   5817   5808   5812   5821   5810   5815   5820   5791   5776   5737   5675   5604   5500   5406   5306   5186.1   5077.99   4945.1  -28.8
+g  2  0   -677   -728   -769   -802   -839   -893   -951  -1018  -1106  -1244  -1341  -1440  -1555  -1662  -1781  -1902  -1997  -2072  -2131  -2200  -2267.7  -2337.24  -2396.6  -11.3
+g  2  1   2905   2928   2948   2956   2959   2969   2980   2984   2981   2990   2998   3003   3002   2997   3000   3010   3027   3044   3059   3070   3068.4   3047.69   3026.0   -3.9
+h  2  1  -1061  -1086  -1128  -1191  -1259  -1334  -1424  -1520  -1614  -1702  -1810  -1898  -1967  -2016  -2047  -2067  -2129  -2197  -2279  -2366  -2481.6  -2594.50  -2707.7  -23.0
+g  2  2    924   1041   1176   1309   1407   1471   1517   1550   1566   1578   1576   1581   1590   1594   1611   1632   1663   1687   1686   1681   1670.9   1657.76   1668.6    2.7
+h  2  2   1121   1065   1000    917    823    728    644    586    528    477    381    291    206    114     25    -68   -200   -306   -373   -413   -458.0   -515.43   -575.4  -12.9
+g  3  0   1022   1037   1058   1084   1111   1140   1172   1206   1240   1282   1297   1302   1302   1297   1287   1276   1281   1296   1314   1335   1339.6   1336.30   1339.7    1.3
+g  3  1  -1469  -1494  -1524  -1559  -1600  -1645  -1692  -1740  -1790  -1834  -1889  -1944  -1992  -2038  -2091  -2144  -2180  -2208  -2239  -2267  -2288.0  -2305.83  -2326.3   -3.9
+h  3  1   -330   -357   -389   -421   -445   -462   -480   -494   -499   -499   -476   -462   -414   -404   -366   -333   -336   -310   -284   -262   -227.6   -198.86   -160.5    8.6
+g  3  2   1256   1239   1223   1212   1205   1202   1205   1215   1232   1255   1274   1288   1289   1292   1278   1260   1251   1247   1248   1249   1252.1   1246.39   1231.7   -2.9
+h  3  2      3     34     62     84    103    119    133    146    163    186    206    216    224    240    251    262    271    284    293    302    293.4    269.72    251.7   -2.9
+g  3  3    572    635    705    778    839    881    907    918    916    913    896    882    878    856    838    830    833    829    802    759    714.5    672.51    634.2   -8.1
+h  3  3    523    480    425    360    293    229    166    101     43    -11    -46    -83   -130   -165   -196   -223   -252   -297   -352   -427   -491.1   -524.72   -536.8   -2.1
+g  4  0    876    880    884    887    889    891    896    903    914    944    954    958    957    957    952    946    938    936    939    940    932.3    920.55    912.6   -1.4
+g  4  1    628    643    660    678    695    711    727    744    762    776    792    796    800    804    800    791    782    780    780    780    786.8    797.96    809.0    2.0
+h  4  1    195    203    211    218    220    216    205    188    169    144    136    133    135    148    167    191    212    232    247    262    272.6    282.07    286.4    0.4
+g  4  2    660    653    644    631    616    601    584    565    550    544    528    510    504    479    461    438    398    361    325    290    250.0    210.65    166.6   -8.9
+h  4  2    -69    -77    -90   -109   -134   -163   -195   -226   -252   -276   -278   -274   -278   -269   -266   -265   -257   -249   -240   -236   -231.9   -225.23   -211.2    3.2
+g  4  3   -361   -380   -400   -416   -424   -426   -422   -415   -405   -421   -408   -397   -394   -390   -395   -405   -419   -424   -423   -418   -403.0   -379.86   -357.1    4.4
+h  4  3   -210   -201   -189   -173   -153   -130   -109    -90    -72    -55    -37    -23      3     13     26     39     53     69     84     97    119.8    145.15    164.4    3.6
+g  4  4    134    146    160    178    199    217    234    249    265    304    303    290    269    252    234    216    199    170    141    122    111.3    100.00     89.7   -2.3
+h  4  4    -75    -65    -55    -51    -57    -70    -90   -114   -141   -178   -210   -230   -255   -269   -279   -288   -297   -297   -299   -306   -303.8   -305.36   -309.2   -0.8
+g  5  0   -184   -192   -201   -211   -221   -230   -237   -241   -241   -253   -240   -229   -222   -219   -216   -218   -218   -214   -214   -214   -218.8   -227.00   -231.1   -0.5
+g  5  1    328    328    327    327    326    326    327    329    334    346    349    360    362    358    359    356    357    355    353    352    351.4    354.41    357.2    0.5
+h  5  1   -210   -193   -172   -148   -122    -96    -72    -51    -33    -12      3     15     16     19     26     31     46     47     46     46     43.8     42.72     44.7    0.5
+g  5  2    264    259    253    245    236    226    218    211    208    194    211    230    242    254    262    264    261    253    245    235    222.3    208.95    200.3   -1.5
+h  5  2     53     56     57     58     58     58     60     64     71     95    103    110    125    128    139    148    150    150    154    165    171.9    180.25    188.9    1.5
+g  5  3      5     -1     -9    -16    -23    -28    -32    -33    -33    -20    -20    -23    -26    -31    -42    -59    -74    -93   -109   -118   -130.4   -136.54   -141.2   -0.7
+h  5  3    -33    -32    -33    -34    -38    -44    -53    -64    -75    -67    -87    -98   -117   -126   -139   -152   -151   -154   -153   -143   -133.1   -123.45   -118.1    0.9
+g  5  4    -86    -93   -102   -111   -119   -125   -131   -136   -141   -142   -147   -152   -156   -157   -160   -159   -162   -164   -165   -166   -168.6   -168.05   -163.1    1.3
+h  5  4   -124   -125   -126   -126   -125   -122   -118   -115   -113   -119   -122   -121   -114    -97    -91    -83    -78    -75    -69    -55    -39.3    -19.57      0.1    3.7
+g  5  5    -16    -26    -38    -51    -62    -69    -74    -76    -76    -82    -76    -69    -63    -62    -56    -49    -48    -46    -36    -17    -12.9    -13.55     -7.7    1.4
+h  5  5      3     11     21     32     43     51     58     64     69     82     80     78     81     81     83     88     92     95     97    107    106.3    103.85    100.9   -0.6
+g  6  0     63     62     62     61     61     61     60     59     57     59     54     47     46     45     43     45     48     53     61     68     72.3     73.60     72.8   -0.3
+g  6  1     61     60     58     57     55     54     53     53     54     57     57     57     58     61     64     66     66     65     65     67     68.2     69.56     68.6   -0.3
+h  6  1     -9     -7     -5     -2      0      3      4      4      4      6     -1     -9    -10    -11    -12    -13    -15    -16    -16    -17    -17.4    -20.33    -20.8   -0.1
+g  6  2    -11    -11    -11    -10    -10     -9     -9     -8     -7      6      4      3      1      8     15     28     42     51     59     68     74.2     76.74     76.0   -0.3
+h  6  2     83     86     89     93     96     99    102    104    105    100     99     96     99    100    100     99     93     88     82     72     63.7     54.75     44.2   -2.1
+g  6  3   -217   -221   -224   -228   -233   -238   -242   -246   -249   -246   -247   -247   -237   -228   -212   -198   -192   -185   -178   -170   -160.9   -151.34   -141.4    1.9
+h  6  3      2      4      5      8     11     14     19     25     33     16     33     48     60     68     72     75     71     69     69     67     65.1     63.63     61.5   -0.4
+g  6  4    -58    -57    -54    -51    -46    -40    -32    -25    -18    -25    -16     -8     -1      4      2      1      4      4      3     -1     -5.9    -14.58    -22.9   -1.6
+h  6  4    -35    -32    -29    -26    -22    -18    -16    -15    -15     -9    -12    -16    -20    -32    -37    -41    -43    -48    -52    -58    -61.2    -63.53    -66.3   -0.5
+g  6  5     59     57     54     49     44     39     32     25     18     21     12      7     -2      1      3      6     14     16     18     19     16.9     14.58     13.1   -0.2
+h  6  5     36     32     28     23     18     13      8      4      0    -16    -12    -12    -11     -8     -6     -4     -2     -1      1      1      0.7      0.24      3.1    0.8
+g  6  6    -90    -92    -95    -98   -101   -103   -104   -106   -107   -104   -105   -107   -113   -111   -112   -111   -108   -102    -96    -93    -90.4    -86.36    -77.9    1.8
+h  6  6    -69    -67    -65    -62    -57    -52    -46    -40    -33    -39    -30    -24    -17     -7      1     11     17     21     24     36     43.8     50.94     54.9    0.5
+g  7  0     70     70     71     72     73     73     74     74     74     70     65     65     67     75     72     71     72     74     77     77     79.0     79.88     80.4    0.2
+g  7  1    -55    -54    -54    -54    -54    -54    -54    -53    -53    -40    -55    -56    -56    -57    -57    -56    -59    -62    -64    -72    -74.0    -74.46    -75.0   -0.1
+h  7  1    -45    -46    -47    -48    -49    -50    -51    -52    -52    -45    -35    -50    -55    -61    -70    -77    -82    -83    -80    -69    -64.6    -61.14    -57.8    0.6
+g  7  2      0      0      1      2      2      3      4      4      4      0      2      2      5      4      1      1      2      3      2      1      0.0     -1.65     -4.7   -0.6
+h  7  2    -13    -14    -14    -14    -14    -14    -15    -17    -18    -18    -17    -24    -28    -27    -27    -26    -27    -27    -26    -25    -24.2    -22.57    -21.2    0.3
+g  7  3     34     33     32     31     29     27     25     23     20      0      1     10     15     13     14     16     21     24     26     28     33.3     38.73     45.3    1.4
+h  7  3    -10    -11    -12    -12    -13    -14    -14    -14    -14      2      0     -4     -6     -2     -4     -5     -5     -2      0      4      6.2      6.82      6.6   -0.2
+g  7  4    -41    -41    -40    -38    -37    -35    -34    -33    -31    -29    -40    -32    -32    -26    -22    -14    -12     -6     -1      5      9.1     12.30     14.0    0.3
+h  7  4     -1      0      1      2      4      5      6      7      7      6     10      8      7      6      8     10     16     20     21     24     24.0     25.35     24.9   -0.1
+g  7  5    -21    -20    -19    -18    -16    -14    -12    -11     -9    -10     -7    -11     -7     -6     -2      0      1      4      5      4      6.9      9.37     10.4    0.1
+h  7  5     28     28     28     28     28     29     29     29     29     28     36     28     23     26     23     22     18     17     17     17     14.8     10.93      7.0   -0.8
+g  7  6     18     18     18     19     19     19     18     18     17     15      5      9     17     13     13     12     11     10      9      8      7.3      5.42      1.6   -0.8
+h  7  6    -12    -12    -13    -15    -16    -17    -18    -19    -20    -17    -18    -20    -18    -23    -23    -23    -23    -23    -23    -24    -25.4    -26.32    -27.7   -0.3
+g  7  7      6      6      6      6      6      6      6      6      5     29     19     18      8      1     -2     -5     -2      0      0     -2     -1.2      1.94      4.9    0.4
+h  7  7    -22    -22    -22    -22    -22    -21    -20    -19    -19    -22    -16    -18    -17    -12    -11    -12    -10     -7     -4     -6     -5.8     -4.64     -3.4    0.2
+g  8  0     11     11     11     11     11     11     11     11     11     13     22     11     15     13     14     14     18     21     23     25     24.4     24.80     24.3   -0.1
+g  8  1      8      8      8      8      7      7      7      7      7      7     15      9      6      5      6      6      6      6      5      6      6.6      7.62      8.2    0.1
+h  8  1      8      8      8      8      8      8      8      8      8     12      5     10     11      7      7      6      7      8     10     11     11.9     11.20     10.9    0.0
+g  8  2     -4     -4     -4     -4     -3     -3     -3     -3     -3     -8     -4     -6     -4     -4     -2     -1      0      0     -1     -6     -9.2    -11.73    -14.5   -0.5
+h  8  2    -14    -15    -15    -15    -15    -15    -15    -15    -14    -21    -22    -15    -14    -12    -15    -16    -18    -19    -19    -21    -21.5    -20.88    -20.0    0.2
+g  8  3     -9     -9     -9     -9     -9     -9     -9     -9    -10     -5     -1    -14    -11    -14    -13    -12    -11    -11    -10     -9     -7.9     -6.88     -5.7    0.3
+h  8  3      7      7      6      6      6      6      5      5      5    -12      0      5      7      9      6      4      4      5      6      8      8.5      9.83     11.9    0.5
+g  8  4      1      1      1      2      2      2      2      1      1      9     11      6      2      0     -3     -8     -7     -9    -12    -14    -16.6    -18.11    -19.3   -0.3
+h  8  4    -13    -13    -13    -13    -14    -14    -14    -15    -15     -7    -21    -23    -18    -16    -17    -19    -22    -23    -22    -23    -21.5    -19.71    -17.4    0.4
+g  8  5      2      2      2      3      4      4      5      6      6      7     15     10     10      8      5      4      4      4      3      9      9.1     10.17     11.6    0.3
+h  8  5      5      5      5      5      5      5      5      5      5      2     -8      3      4      4      6      6      9     11     12     15     15.5     16.22     16.7    0.1
+g  8  6     -9     -8     -8     -8     -7     -7     -6     -6     -5    -10    -13     -7     -5     -1      0      0      3      4      4      6      7.0      9.36     10.9    0.2
+h  8  6     16     16     16     16     17     17     18     18     19     18     17     23     23     24     21     18     16     14     12     11      8.9      7.61      7.1   -0.1
+g  8  7      5      5      5      6      6      7      8      8      9      7      5      6     10     11     11     10      6      4      2     -5     -7.9    -11.25    -14.1   -0.5
+h  8  7     -5     -5     -5     -5     -5     -5     -5     -5     -5      3     -4     -4      1     -3     -6    -10    -13    -15    -16    -16    -14.9    -12.76    -10.8    0.4
+g  8  8      8      8      8      8      8      8      8      7      7      2     -1      9      8      4      3      1     -1     -4     -6     -7     -7.0     -4.87     -3.7    0.2
+h  8  8    -18    -18    -18    -18    -19    -19    -19    -19    -19    -11    -17    -13    -20    -17    -16    -17    -15    -11    -10     -4     -2.1     -0.06      1.7    0.4
+g  9  0      8      8      8      8      8      8      8      8      8      5      3      4      4      8      8      7      5      5      4      4      5.0      5.58      5.4    0.0
+g  9  1     10     10     10     10     10     10     10     10     10    -21     -7      9      6     10     10     10     10     10      9      9      9.4      9.76      9.4    0.0
+h  9  1    -20    -20    -20    -20    -20    -20    -20    -20    -21    -27    -24    -11    -18    -22    -21    -21    -21    -21    -20    -20    -19.7    -20.11    -20.5    0.0
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diff --git a/apps/abs/utils/resource/skynoise_jro.dat b/apps/abs/utils/resource/skynoise_jro.dat
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