mirror of
https://bitbucket.org/cosmicvoids/vide_public.git
synced 2025-07-04 15:21:11 +00:00
Guilhem Lavaux
affb56ff48
Port to python3, large code cleanup * Fixed command line for cosmotool * Fix path * Dump command line is log file * Fix important typo * Modify paths for example * Fix path again * Use an explicit constructor * Change file to open (python 2->3) * python3 fix for xrange in periodic_kdtree.py * Fixed index for Np, numPart, numZones, numZonesTot, partID, zoneID in catalogUtil.py
86 lines
2.8 KiB
Python
86 lines
2.8 KiB
Python
#+
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# VIDE -- Void IDentification and Examination -- ./python_tools/vide/apTools/profiles/getSurveyProps.py
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# Copyright (C) 2010-2014 Guilhem Lavaux
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# Copyright (C) 2011-2014 P. M. Sutter
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#
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# This program is free software; you can redistribute it and/or modify
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# it under the terms of the GNU General Public License as published by
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# the Free Software Foundation; version 2 of the License.
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#
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#
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# This program is distributed in the hope that it will be useful,
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# but WITHOUT ANY WARRANTY; without even the implied warranty of
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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# GNU General Public License for more details.
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#
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# You should have received a copy of the GNU General Public License along
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# with this program; if not, write to the Free Software Foundation, Inc.,
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# 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
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#+
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import numpy as np
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import healpy as healpy
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import scipy.integrate
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import vide as ct
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import os
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__all__=['getSurveyProps']
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# returns the volume and galaxy density for a given redshit slice
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def getSurveyProps(maskFile, zmin, zmax, selFunMin, selFunMax, portion, selectionFuncFile=None, useComoving=False):
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LIGHT_SPEED = 299792.458
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mask = healpy.read_map(maskFile)
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area = (1.*np.size(np.where(mask > 0)) / np.size(mask)) * 4.*np.pi
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if useComoving:
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zmin = LIGHT_SPEED/100.*ct.angularDiameter(zmin, Om=0.27)
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zmax = LIGHT_SPEED/100.*ct.angularDiameter(zmax, Om=0.27)
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selFunMin = LIGHT_SPEED/100.*ct.angularDiameter(selFunMin, Om=0.27)
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selFunMax = LIGHT_SPEED/100.*ct.angularDiameter(selFunMax, Om=0.27)
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else:
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zmin = zmin * 3000
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zmax = zmax * 3000
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selFunMin *= 3000
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selFunMax *= 3000
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volume = area * (zmax**3 - zmin**3) / 3
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if selectionFuncFile == None:
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nbar = 1.0
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elif not os.access(selectionFuncFile, os.F_OK):
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print(" Warning, selection function file %s not found, using default of uniform selection." % selectionFuncFile)
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nbar = 1.0
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else:
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selfunc = np.genfromtxt(selectionFuncFile)
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selfunc = np.array(selfunc)
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selfunc[:,0] = selfunc[:,0]/100.
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selfuncUnity = selfunc
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selfuncUnity[:,1] = 1.0
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selfuncMin = selfunc[0,0]
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selfuncMax = selfunc[-1,0]
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selfuncDx = selfunc[1,0] - selfunc[0,0]
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selfuncN = np.size(selfunc[:,0])
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selFunMin = max(selFunMin, selfuncMin)
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selFunMax = min(selFunMax, selfuncMax)
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def f(z): return selfunc[np.ceil((z-selfuncMin)/selfuncDx), 1]*z**2
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def fTotal(z): return selfuncUnity[np.ceil((z-selfuncMin)/selfuncDx), 1]*z**2
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zrange = np.linspace(selFunMin, selFunMax)
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nbar = scipy.integrate.quad(f, selFunMin, selFunMax)
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nbar = nbar[0]
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ntotal = scipy.integrate.quad(fTotal, 0.0, max(selfuncUnity[:,0]))
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ntotal = ntotal[0]
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nbar = ntotal / area / nbar
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#print "PROPERTIES: ", volume, nbar
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return (volume, nbar)
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