... | ... | @@ -42,12 +42,6 @@ The overall plan for this review is here: |
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### `lalinference/src/LALInference.c` and `lalinference/src/LALInference.h`
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```
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import lal
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import lalsimulation as ls
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import lalinference as li
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import numpy as np
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import matplotlib.pyplot as plt
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dQuadMonS = np.random.uniform(-200,200,10000)
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dQuadMonA = np.random.uniform(-200,200,10000)
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... | ... | @@ -58,10 +52,13 @@ for idx in range(10000): |
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dQuadMon1.append(x[0]), dQuadMon2.append(x[1])
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plt.figure()
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plt.scatter(dQuadMonS, dQuadMonA, color='r', alpha=0.1)
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plt.scatter(dQuadMon1, dQuadMon2, color='k', alpha=0.05)
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plt.scatter(dQuadMonS, dQuadMonA, color='r', alpha=0.1, label='S-A')
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plt.scatter(dQuadMon1, dQuadMon2, color='k', alpha=0.05, label='1-2')
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plt.legend(loc='best')
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plt.xlabel('$\delta \kappa _S$')
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plt.ylabel('$\delta \kappa _A$')
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```
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| Code | Test | Status |
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|------|------|--------|
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... | ... | |