Initial import
This commit is contained in:
commit
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0
scripts/quasar/QUASAR.txt
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scripts/quasar/QUASAR.txt
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76
scripts/quasar/Quasar.ini
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76
scripts/quasar/Quasar.ini
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[system]
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console_output=logares.txt
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VERBOSE_LEVEL = 2
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N0 = 64
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N1 = 64
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N2 = 64
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L0 = 15000
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L1 = 15000
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L2 = 15000
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corner0=-7500
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corner1=-7500
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corner2=-7500
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NUM_MODES=30
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N_MC=1000
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# If true, data is discarded, meta data is kept and used to generate mock realizations
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# of the data, assuming some cosmological power spectrum as determined from the [cosmo]
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# section
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test_mode=true
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# If true, the initial power spectrum of the chain is set to the cosmological one
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seed_cpower=true
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# Indicate which samplers should be blocked for testing purposes
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messenger_signal_blocked=false
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power_sampler_a_blocked=false
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power_sampler_b_blocked=false
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bias_sampler_blocked=false
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[run]
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NCAT = 2
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[cosmology]
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omega_r = 0
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omega_k = 0
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omega_m = 0.30
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omega_b = 0.045
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omega_q = 0.70
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w = -1
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wprime = 0
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n_s = 1
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sigma8 = 0.80
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h100 = 0.65
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beta = 0.51
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z0 = 0
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[catalog_1]
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datafile = QUASAR.txt
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maskdata = one.fits
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radial_selection = file
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radial_file = quasar_selection.txt
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refbias = true
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nmean=20000
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bias=3
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[catalog_0]
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datafile=QUASAR.txt
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maskdata=one.fits
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radial_selection = schechter
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refbias=true
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nmean=1000
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bias=1
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schechter_alpha=-0.94
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schechter_mstar=-23.28
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schechter_sampling_rate = 1000
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schechter_dmax = 6000
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galaxy_bright_apparent_magnitude_cut = 5
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galaxy_faint_apparent_magnitude_cut = 20.5
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galaxy_bright_absolute_magnitude_cut = -27
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galaxy_faint_absolute_magnitude_cut = -20
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51
scripts/quasar/cmass_selection.txt
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scripts/quasar/cmass_selection.txt
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6.673907226393414107e-06
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1.734337076802830175e-04
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1.647804654638367495e-04
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1.592090793589784543e-04
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1.565669552298505868e-04
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1.624398458001042786e-04
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1.725257855230777424e-04
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1.980533338931222802e-04
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2.237396632301090775e-04
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2.070433955770229232e-04
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2.047457554473321780e-04
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1.978205375085790956e-04
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1.885770893536208503e-04
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1.928008703640204360e-04
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2.063115299378451631e-04
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2.026780570325601523e-04
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2.098433958446920163e-04
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2.224598655709381317e-04
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2.010470068082567186e-04
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1.883110442296301919e-04
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1.741405501226736617e-04
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1.512519934395997138e-04
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1.359556689075110006e-04
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1.174436351257825535e-04
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1.011449443557470632e-04
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1.003995284387548706e-05
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0.000000000000000000e+00
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scripts/quasar/gen_selection_qso.py
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scripts/quasar/gen_selection_qso.py
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#+
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# ARES/HADES/BORG Package -- ./scripts/quasar/gen_selection_qso.py
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# Copyright (C) 2014-2020 Guilhem Lavaux <guilhem.lavaux@iap.fr>
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# Copyright (C) 2009-2020 Jens Jasche <jens.jasche@fysik.su.se>
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#
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# Additional contributions from:
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# Guilhem Lavaux <guilhem.lavaux@iap.fr> (2023)
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#
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#+
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import cosmolopy as cpy
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import numpy as np
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import pyfits as pf
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cosmo={'omega_M_0':0.30,'omega_lambda_0':0.70,'omega_k_0':0,'h':0.65,'sigma8':0.80}
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f = pf.open("DR12Q.fits")
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c = f[1].data
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Z = c['Z_PIPE']
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d = cpy.distance.comoving_distance(Z, **cosmo) * cosmo['h']
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Dmax = 8000
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Nb = 100
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delta = 0.5*Dmax/Nb
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d = d[d>100]
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H,b = np.histogram(d, range=(0-delta,Dmax-delta),bins=Nb)
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b0 = 0.5*(b[1:] + b[0:b.size-1])
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H = H.astype(np.float64) / (b[1:]**3 - b[0:b.size-1]**3)
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b0max = Dmax
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H /= H.max()
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with open("quasar_selection.txt", mode="wt") as f:
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f.write("%d %lg\n" % (H.size, b0max))
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for r in H:
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f.write("%lg\n" % r)
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BIN
scripts/quasar/one.fits
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BIN
scripts/quasar/one.fits
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scripts/quasar/quasar_selection.txt
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scripts/quasar/quasar_selection.txt
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1.405091172847078112e-06
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1.339373166135644391e-06
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1.226769448563412834e-06
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1.092605119806316037e-06
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1.002979573645545923e-06
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8.829936736012149635e-07
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1.077068164570427032e-08
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1.003672815208152326e-08
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1.011299662590278025e-08
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0
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0
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0
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0
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