+ radial profiles now full actual density from survey volume, not zobov normalization

+ getVolNorm provides both zobov normalization and average density from survey volume for observations

+ significant update and cleanup to plotting routines

python_source/backend/surveyTools.py

@@ -194,11 +194,9 @@ def findEdgeGalaxies(galFile, maskFile, edgeGalFile, contourFile,
   rayDist = meanPartSep
   raySteps = np.arange(zmin, zmax, rayDist)
   log.write("  Will take %d steps per ray with %.2e distance between steps\n" % (len(raySteps), rayDist))
-  #print(meanPartSep, len(raySteps))
  
   contourPixels = np.nonzero(contourMap)[0]
   log.write("  We have %d rays to work with\n" % (len(contourPixels)))
-  #print(contourPixels)
   for pixel in contourPixels:
     #print("Working with pixel %d" % pixel)
     vec = healpy.pix2vec(nside,pixel)
@@ -227,6 +225,11 @@ def findEdgeGalaxies(galFile, maskFile, edgeGalFile, contourFile,
   dist, nearest = galTree.query(minEdge)
   flagList[nearest] = 3
 
+  log.write("  Flagging statistics:\n")
+  log.write("    %d original galaxies\n" % len(flagList))
+  log.write("    %d near edges\n" % len(flagList[flagList==1]))
+  log.write("    %d near redshift bounds\n" % len(flagList[flagList==2]))
+  log.write("    %d remaining\n" % len(flagList[flagList==0]))
   # output flag information
   log.write("  Saving galaxy flags to file...\n")
   np.savetxt(edgeGalFile, flagList, fmt="%d")
@@ -243,7 +246,8 @@ def findEdgeGalaxies(galFile, maskFile, edgeGalFile, contourFile,
   ipix = healpy.ang2pix(nside, theta, phi)
   np.put(flagMap, ipix, 1)
 
-  healpy.write_map(outputDir+"/flagged_galaxies.fits", flagMap, overwrite=True,
+  healpy.write_map(outputDir+"/flagged_galaxies.fits", flagMap, 
+                   overwrite=True,
                    dtype=np.dtype('float64'))