Reviewer-Notes.md

@@ -39,6 +39,30 @@ The overall plan for this review is here:
 | Posteriors on all 4 non-GR parameters | |
 | Priors on all 4 non-GR parameters | |
 
+### `lalinference/src/LALInference.c` and `lalinference/src/LALInference.h`
+
+```
+import lal
+import lalsimulation as ls
+import lalinference as li
+import numpy as np
+import matplotlib.pyplot as plt
+
+dQuadMonS = np.random.uniform(-200,200,10000)
+dQuadMonA = np.random.uniform(-200,200,10000)
+
+dQuadMon1, dQuadMon2 = [],[]
+
+for idx in range(10000):
+    x = li.dQuadMonSdQuadMonA(dQuadMonS[idx], dQuadMonA[idx])
+    dQuadMon1.append(x[0]), dQuadMon2.append(x[1])
+
+plt.figure()   
+plt.scatter(dQuadMonS, dQuadMonA, color='r', alpha=0.1)    
+plt.scatter(dQuadMon1, dQuadMon2, color='k', alpha=0.05)
+```
+
+
 | Code | Test | Status |
 |------|------|--------|
 | `lalinference/python/cbcBayesCompPos.py` | 1.  | |