Tesllation seems stable with new boundary handling procedure. Rooted out strange adjacency record-keeping due to some galaxies connecting to guard particles. Zobov still generates warning about guard particle encounters, but this is fine for observational datasets because we don't trust the tesselation at the edge galaxies anyway.

python_source/backend/classes.py

@@ -21,8 +21,8 @@
 
 import os
 from numpy import abs
-import matplotlib as mpl
-mpl.use('Agg')
+#import matplotlib as mpl
+#mpl.use('Agg')
 
 LIGHT_SPEED = 299792.458
 

python_source/backend/launchers.py

@@ -118,6 +118,7 @@ def launchPrep(sample, binPath, workDir=None, inputDataDir=None,
 
         # flag edge galaxies with python routine for now
         galFile = outputDir+"/zobov_slice_"+sampleName
+        os.system("mv %s %s" % ("galaxies.txt", outputDir))
         #galFile = outputDir + "galaxies.txt"
         edgeGalFile = outputDir + "/galaxy_edge_flags.txt"
         contourFile = outputDir + "/contour_map.fits"
@@ -481,7 +482,7 @@ def launchZobov(sample, binPath, outputDir=None, logDir=None, continueRun=None,
       edgeFlags = np.loadtxt(edgeFile, dtype=np.int32)
 
       # set edge galaxy volumes to nearly 0 (implying very high density)
-      vols[ edgeFlags>0 ] = 1.e-4
+      vols[ edgeFlags>0 ] = 1.e-10
 
       volFile = outputDir+"/vol_weighted_"+sampleName+".dat"
       with open(volFile, mode='wb') as File:
@@ -493,7 +494,6 @@ def launchZobov(sample, binPath, outputDir=None, logDir=None, continueRun=None,
     else:
       volFileToUse = outputDir+"/vol_"+sampleName+".dat"
 
-
     cmd = [binPath+"/jozov2", \
            outputDir+"/adj_"+sampleName+".dat", \
            volFileToUse, \

python_source/backend/surveyTools.py

@@ -146,6 +146,7 @@ def findEdgeGalaxies(galFile, maskFile, edgeGalFile, contourFile,
 
   # load in galaxies
   #galPos = np.genfromtxt(galFile)
+  # TODO - WHY IS THIS FASTER THAN np.column_stack???
   galPos = np.genfromtxt(outputDir+"/galaxies.txt")
   with open(galFile, 'rb') as File:
    chk = np.fromfile(File, dtype=np.int32,count=1)