Set default value for omegaM in observations

This commit is contained in:
Nico Hamaus 2021-02-25 17:36:22 +01:00
parent 44165359ea
commit 8ee71005e1

View file

@ -7,7 +7,7 @@
# This program is free software; you can redistribute it and/or modify # This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by # it under the terms of the GNU General Public License as published by
# the Free Software Foundation; version 2 of the License. # the Free Software Foundation; version 2 of the License.
# #
# #
# This program is distributed in the hope that it will be useful, # This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of # but WITHOUT ANY WARRANTY; without even the implied warranty of
@ -29,7 +29,7 @@ continueRun = False
# stages: # stages:
# 1 : extract redshift slices from data # 1 : extract redshift slices from data
# 2 : void extraction using zobov # 2 : void extraction using zobov
# 3 : removal of small voids and voids near the edge # 3 : removal of small voids and voids near the edge
startCatalogStage = 1 startCatalogStage = 1
endCatalogStage = 3 endCatalogStage = 3
@ -90,17 +90,20 @@ newSample = Sample(
# max and min redshifts where you want to find voids # max and min redshifts where you want to find voids
zRange = (0.1, 0.15), zRange = (0.1, 0.15),
# leave this at -1 for mean particle separation, # leave this at -1 for mean particle separation,
# or specify your own in Mpc/h # or specify your own in Mpc/h
minVoidRadius = -1, minVoidRadius = -1,
# density of mock particles in cubic Mpc/h # density of mock particles in cubic Mpc/h
# (make this as high as you can afford) # (make this as high as you can afford)
fakeDensity = 0.05, fakeDensity = 0.05,
# if true, convert to comoving space using LCDM cosmology # if true, convert to comoving space using LCDM cosmology
useComoving = True useComoving = True,
# cosmology
omegaM = 0.3,
) )
dataSampleList.append(newSample) dataSampleList.append(newSample)