Almost zero weights (<1e-3) now considered as zero

flag_weights.py

@@ -8,10 +8,12 @@ Options:
     threshold : float     Visibilities with a weight below the specified
                           value will be flagged. Must be positive.
 
-Version: 3.1
-Date: Mar 2020
+Version: 3.2
+Date: Mar 2021
 Written by Benito Marcote (marcote@jive.eu)
 
+version 3.2 changes (Mar 2021)
+- w > 0 condiction moved to > 0.001 to include possible weights at the ~1e-5 level.
 version 3.1 changes (Mar 2020)
 - Progress bar added.
 version 3.0 changes (Apr 2019)
@@ -117,11 +119,11 @@ with pt.table(msdata, readonly=False, ack=False) as ms:
         # extract weights and compute new flags based on threshold
         weights = ms.getcol(weightcol, startrow=start, nrow=nrow)
         # how many non-zero did we flag
-        flagged_nonzero_before = np.logical_and(flags, weights > 0)
+        flagged_nonzero_before = np.logical_and(flags, weights > 0.001)
         # join with existing flags and count again
         flags = np.logical_or(flags, weights < threshold)
         flagged_after += np.sum(flags)
-        flagged_nonzero_after = np.logical_and(flags, weights > 0)
+        flagged_nonzero_after = np.logical_and(flags, weights > 0.001)
         # Saving the total of nonzero flags (in this and previous runs)
         # flagged_nonzero += np.sum(np.logical_xor(flagged_nonzero_before, flagged_nonzero_after))
         flagged_nonzero += np.sum(flagged_nonzero_after)