#
# FILTER GALAXIES
#
################################################################################
temp_infile = open(survey_name + 'mask.pickle', 'rb')
mask_resolution, maskfile = pickle.load(temp_infile)
temp_infile.close()
coord_min_table, mask, ngrid = filter_galaxies(infile, maskfile,
mask_resolution, min_dist,
max_dist, survey_name, mag_cut,
rm_isolated)
temp_outfile = open(survey_name + "filter_galaxies_output.pickle", 'wb')
pickle.dump((coord_min_table, mask, ngrid), temp_outfile)
temp_outfile.close()
################################################################################
#
# FIND VOIDS
#
################################################################################
temp_infile = open(survey_name + "filter_galaxies_output.pickle", 'rb')
coord_min_table, mask, ngrid = pickle.load(temp_infile)
temp_infile.close()
find_voids(ngrid, min_dist, max_dist, coord_min_table, mask, mask_resolution,
out1_filename, out2_filename, survey_name, num_cpus)
# Calculate comoving distance
if 'Rgal' not in infile.columns:
infile['Rgal'] = Distance(infile['z'], Omega_M, h)
################################################################################
#
# FILTER GALAXIES
#
################################################################################
coord_min_table, mask, ngrid = filter_galaxies(infile, maskfile, min_dist,
max_dist, survey_name, mag_cut,
rm_isolated)
temp_outfile = open("filter_galaxies_output.pickle", 'wb')
pickle.dump((coord_min_table, mask, ngrid), temp_outfile)
temp_outfile.close()
################################################################################
#
# FIND VOIDS
#
################################################################################
temp_infile = open("filter_galaxies_output.pickle", 'rb')
coord_min_table, mask, ngrid = pickle.load(temp_infile)
temp_infile.close()
find_voids(ngrid, min_dist, max_dist, coord_min_table, mask, out1_filename,
out2_filename, survey_name)