initial upload

cookbook/simple_prism/model.txt

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+# Test prism model file
+2000 5000 2000 15000 0 5000 1000
+10000 18000 10000 18000 0 5000 -1000

cookbook/simple_prism/plot.py

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+"""
+Plot the columns of the output files
+"""
+import sys
+import pylab
+
+data = pylab.loadtxt(sys.argv[1], unpack=True)
+shape = (int(sys.argv[2]), int(sys.argv[3]))
+lon = pylab.reshape(data[0], shape)
+lat = pylab.reshape(data[1], shape)
+xmin, xmax = lon.min(), lon.max()
+ymin, ymax = lat.min(), lat.max()
+for i, value in enumerate(data[3:]):
+    value = pylab.reshape(value, shape)
+    pylab.figure(figsize=(4, 3))
+    pylab.title("Column %d" % (i + 4))
+    pylab.axis('scaled')
+    pylab.pcolor(lon, lat, value)
+    pylab.colorbar()
+    pylab.contour(lon, lat, value, 12, color='k')
+    #pylab.xlabel("Longitude")
+    #pylab.ylabel("Latitude")
+    pylab.xlim(xmin, xmax)
+    pylab.ylim(ymin, ymax)
+    pylab.savefig('column%d.png' % (i + 4))

cookbook/simple_prism/simple_prism.bat

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+
+
+:: Generate a regular grid, pipe it to all the computation programs,
+:: and write the result to output.txt
+
+tessgrd -r0/20000/0/20000 -b50/50 -z1000 | ^
+prismpot model.txt | ^
+prismgx model.txt | prismgy model.txt | prismgz model.txt | ^
+prismgxx model.txt  | prismgxy model.txt  | ^
+prismgxz model.txt  | prismgyy model.txt  | ^
+prismgyz model.txt  | prismgzz model.txt > output.txt

cookbook/simple_prism/simple_prism.sh

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+#!/bin/bash
+
+# Generate a regular grid, pipe it to all the computation programs,
+# and write the result to output.txt
+
+tessgrd -r0/20000/0/20000 -b50/50 -z1000 | \
+prismpot model.txt | \
+prismgx model.txt | prismgy model.txt | prismgz model.txt | \
+prismgxx model.txt  | prismgxy model.txt  | \
+prismgxz model.txt  | prismgyy model.txt  | \
+prismgyz model.txt  | prismgzz model.txt > output.txt