initial upload

cookbook/custom_ratio/custom_ratio.bat

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+:: Calculate effect of the model at a low height using difference distance-size
+:: ratios for the recursive division of tesseroids.
+:: WARNING: This is only an example. You should not use the -t option in
+::          practice
+
+tessgrd -r-3/3/-3/3 -b50/50 -z4e03 | ^
+tessgzz model.txt -t0.0001 -lratio1.log | ^
+tessgzz model.txt -t0.5 -lratio2.log | ^
+tessgzz model.txt -t1 -lratio3.log | ^
+tessgzz model.txt -v -lratio-default.log > output.txt

cookbook/custom_ratio/custom_ratio.sh

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+#!/bin/bash
+
+# Calculate effect of the model at a low height using difference distance-size
+# ratios for the recursive division of tesseroids.
+# WARNING: This is only an example. You should not use the -t option in practice
+
+tessgrd -r-3/3/-3/3 -b50/50 -z4e03 | \
+tessgzz model.txt -t0.0001 -lratio1.log | \
+tessgzz model.txt -t0.5 -lratio2.log | \
+tessgzz model.txt -t1 -lratio3.log | \
+tessgzz model.txt -v -lratio-default.log > output.txt

cookbook/custom_ratio/model.txt

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+# Test tesseroid model file
+-1.5 1.5 -1.5 1.5 0 -5000 200

cookbook/custom_ratio/plot.py

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+"""
+Plot the columns of the output files
+"""
+import sys
+from matplotlib import pyplot as plt
+import numpy as np
+
+data = np.loadtxt(sys.argv[1], unpack=True)
+shape = (int(sys.argv[2]), int(sys.argv[3]))
+lon = np.reshape(data[0], shape)
+lat = np.reshape(data[1], shape)
+for i, value in enumerate(data[3:]):
+    value = np.reshape(value, shape)
+    plt.figure(figsize=(4, 3))
+    plt.title("Column %d" % (i + 4))
+    plt.contourf(lon, lat, value, 50)
+    plt.colorbar()
+    plt.savefig('column%d.png' % (i + 4))