mirror of
https://github.com/Richard-Sti/csiborgtools.git
synced 2024-12-22 17:08:03 +00:00
100 lines
3.4 KiB
Python
100 lines
3.4 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 tqdm import trange
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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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def load_mmain_convert(n):
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srcdir = "/users/hdesmond/Mmain"
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arr = csiborgtools.io.read_mmain(n, srcdir)
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csiborgtools.utils.convert_mass_cols(arr, "mass_cl")
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csiborgtools.utils.convert_position_cols(
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arr, ["peak_x", "peak_y", "peak_z"])
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csiborgtools.utils.flip_cols(arr, "peak_x", "peak_z")
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d, ra, dec = csiborgtools.utils.cartesian_to_radec(arr)
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arr = csiborgtools.utils.add_columns(
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arr, [d, ra, dec], ["dist", "ra", "dec"])
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return arr
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def load_mmains(N=None, verbose=True):
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ids = csiborgtools.io.get_csiborg_ids("/mnt/extraspace/hdesmond")
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N = ids.size if N is None else N
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if N > ids.size:
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raise ValueError("`N` cannot be larger than 101.")
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# If N less than num of CSiBORG, then radomly choose
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if N == ids.size:
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choices = numpy.arange(N)
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else:
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choices = numpy.random.choice(ids.size, N, replace=False)
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out = [None] * N
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iters = trange(N) if verbose else range(N)
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for i in iters:
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j = choices[i]
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out[i] = load_mmain_convert(ids[j])
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return out
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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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# 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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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 = ("/mnt/zfsusers/rstiskalek/csiborgtools/"
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+ "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_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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