csiborgtools/scripts/fit_hmf.py

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# Copyright (C) 2022 Richard Stiskalek
# 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 the
# Free Software Foundation; either version 3 of the License, or (at your
# option) any later version.
#
# This program is distributed in the hope that it will be useful, but
# WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General
# Public License for more details.
#
# You should have received a copy of the GNU General Public License along
# with this program; if not, write to the Free Software Foundation, Inc.,
# 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA.
"""
Script to calculate the HMF for CSIBORG and Quijote haloes.
"""
from argparse import ArgumentParser
from datetime import datetime
from distutils.util import strtobool
import numpy
from mpi4py import MPI
from taskmaster import work_delegation
from utils import get_nsims
try:
import csiborgtools
except ModuleNotFoundError:
import sys
sys.path.append("../")
import csiborgtools
def get_counts(nsim, bins, paths, parser_args):
"""
Calculate and save the number of haloes in each mass bin.
Parameters
----------
nsim : int
Simulation index.
bins : 1-dimensional array
Array of bin edges (in log10 mass).
paths : csiborgtools.read.Paths
Paths object.
parser_args : argparse.Namespace
Parsed command-line arguments.
Returns
-------
None
"""
simname = parser_args.simname
paths = csiborgtools.read.Paths(**csiborgtools.paths_glamdring)
bounds = {"dist": (0, parser_args.Rmax)}
if simname == "csiborg":
cat = csiborgtools.read.HaloCatalogue(nsim, paths, bounds=bounds)
logmass = numpy.log10(cat["totpartmass"])
counts = csiborgtools.fits.number_counts(logmass, bins)
elif simname == "quijote":
cat0 = csiborgtools.read.QuijoteHaloCatalogue(nsim, paths, nsnap=4)
nmax = int(cat0.box.boxsize // (2 * parser_args.Rmax))**3
counts = numpy.full((nmax, len(bins) - 1), numpy.nan,
dtype=numpy.float32)
for nobs in range(nmax):
cat = cat0.pick_fiducial_observer(nobs, rmax=parser_args.Rmax)
logmass = numpy.log10(cat["group_mass"])
counts[nobs, :] = csiborgtools.fits.number_counts(logmass, bins)
fout = paths.halo_counts(simname, nsim)
if parser_args.verbose:
print(f"{datetime.now()}: saving halo counts to `{fout}`.")
numpy.savez(fout, counts=counts, bins=bins, rmax=parser_args.Rmax)
if __name__ == "__main__":
parser = ArgumentParser()
parser.add_argument("--simname", type=str, choices=["csiborg", "quijote"],
help="Simulation name")
parser.add_argument("--nsims", type=int, nargs="+", default=None,
help="Indices of simulations to cross. If `-1` processes all simulations.") # noqa
parser.add_argument("--Rmax", type=float, default=155/0.705,
help="High-resolution region radius")
parser.add_argument("--verbose", type=lambda x: bool(strtobool(x)),
default=False)
parser_args = parser.parse_args()
comm = MPI.COMM_WORLD
rank = comm.Get_rank()
nproc = comm.Get_size()
verbose = nproc == 1
paths = csiborgtools.read.Paths(**csiborgtools.paths_glamdring)
nsims = get_nsims(parser_args, paths)
bins = numpy.arange(11., 16., 0.2, dtype=numpy.float32)
def do_work(nsim):
get_counts(nsim, bins, paths, parser_args)
work_delegation(do_work, nsims, comm, master_verbose=parser_args.verbose)