mirror of
https://github.com/Richard-Sti/csiborgtools.git
synced 2024-12-22 17:28:02 +00:00
17badf2652
* add xray reading * add import * add more comments * add data * add nb * add MCXC shortcut * add match indxs to Planck of MCXC * add import * update TODO * update readme * add famous clusters * add 2mpp_groups * shorten paths * add 2M++ groups * add import * Update TODO
93 lines
3.1 KiB
Python
93 lines
3.1 KiB
Python
# Copyright (C) 2022 Richard Stiskalek
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# This program is free software; you can redistribute it and/or modify it
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# under the terms of the GNU General Public License as published by the
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# Free Software Foundation; either version 3 of the License, or (at your
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# option) any later version.
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#
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# This program is distributed in the hope that it will be useful, but
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# WITHOUT ANY WARRANTY; without even the implied warranty of
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General
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# 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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Notebook utility functions.
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"""
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import numpy
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from os.path import join
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from astropy.cosmology import FlatLambdaCDM
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try:
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import csiborgtools
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except ModuleNotFoundError:
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import sys
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sys.path.append("../")
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Nsplits = 200
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dumpdir = "/mnt/extraspace/rstiskalek/csiborg/"
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# Some chosen clusters
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_coma = {"RA": (12 + 59/60 + 48.7 / 60**2) * 15,
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"DEC": 27 + 58 / 60 + 50 / 60**2,
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"COMDIST": 102.975}
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_virgo = {"RA": (12 + 27 / 60) * 15,
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"DEC": 12 + 43/60,
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"COMDIST": 16.5}
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specific_clusters = {"Coma": _coma, "Virgo": _virgo}
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def load_processed(Nsim, Nsnap):
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simpath = csiborgtools.io.get_sim_path(Nsim)
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outfname = join(
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dumpdir, "ramses_out_{}_{}.npy".format(str(Nsim).zfill(5),
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str(Nsnap).zfill(5)))
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data = numpy.load(outfname)
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# Add mmain
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mmain = csiborgtools.io.read_mmain(Nsim, "/mnt/zfsusers/hdesmond/Mmain")
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data = csiborgtools.io.merge_mmain_to_clumps(data, mmain)
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csiborgtools.utils.flip_cols(data, "peak_x", "peak_z")
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# Cut on numbre of particles and finite m200
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data = data[(data["npart"] > 100) & numpy.isfinite(data["m200"])]
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# Do unit conversion
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boxunits = csiborgtools.units.BoxUnits(Nsnap, simpath)
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convert_cols = ["m200", "m500", "totpartmass", "mass_mmain",
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"r200", "r500", "Rs", "rho0", "peak_x", "peak_y", "peak_z"]
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data = csiborgtools.units.convert_from_boxunits(
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data, convert_cols, boxunits)
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# Now calculate spherical coordinates
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d, ra, dec = csiborgtools.units.cartesian_to_radec(data)
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data = csiborgtools.utils.add_columns(
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data, [d, ra, dec], ["dist", "ra", "dec"])
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return data
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def load_planck2015(max_comdist=214):
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cosmo = FlatLambdaCDM(H0=70.5, Om0=0.307, Tcmb0=2.728)
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fpath = "../data/HFI_PCCS_SZ-union_R2.08.fits"
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return csiborgtools.io.read_planck2015(fpath, cosmo, max_comdist)
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def load_mcxc(max_comdist=214):
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cosmo = FlatLambdaCDM(H0=70.5, Om0=0.307, Tcmb0=2.728)
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fpath = ("../data/mcxc.fits")
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return csiborgtools.io.read_mcxc(fpath, cosmo, max_comdist)
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def load_2mpp():
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cosmo = FlatLambdaCDM(H0=70.5, Om0=0.307, Tcmb0=2.728)
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return csiborgtools.io.read_2mpp("../data/2M++_galaxy_catalog.dat", cosmo)
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def load_2mpp_groups():
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cosmo = FlatLambdaCDM(H0=70.5, Om0=0.307, Tcmb0=2.728)
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return csiborgtools.io.read_2mpp_groups(
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"../data/../data/2M++_group_catalog.dat", cosmo)
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