csiborgtools/scripts/fit_hmf.py
Richard Stiskalek acb8d9571c
Update units to be consistent. (#78)
* Fix Quijote units

* Updates to units

* Fix how things are loaded

* Updating definitions & conventions

* Clear up how fiducial observers in quijote work

* Refactorize array manip

* Move function definition

* More code refactoring

* Remove unused argument

* Remove `convert_from_box`

* Make a note

* Converting particle units

* Add notes about units

* Remove box constants

* Add rho_crit0

* Fix spherical overdensity mass units

* Refactor more code

* Edit catalogue kwargs

* Edit the docstring

* Edit bounds

* Add new checks for empty array

* Remove unused import

* Remove old code

* Remove old function

* Update real 2 redshift

* Clear up the RSP conv

* Add comments

* Add some units
2023-07-28 21:07:28 +02:00

113 lines
4.2 KiB
Python

# 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.CSiBORGHaloCatalogue(
nsim, paths, bounds=bounds, load_initial=False)
logmass = numpy.log10(cat["totpartmass"])
counts = csiborgtools.fits.number_counts(logmass, bins)
elif simname == "quijote":
cat0 = csiborgtools.read.QuijoteHaloCatalogue(nsim, paths, nsnap=4,
load_initial=False)
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)
elif simname == "quijote_full":
cat = csiborgtools.read.QuijoteHaloCatalogue(nsim, paths, nsnap=4,
load_initial=False)
logmass = numpy.log10(cat["group_mass"])
counts = csiborgtools.fits.number_counts(logmass, bins)
else:
raise ValueError(f"Unknown simulation name `{simname}`.")
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", "quijote_full"],
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. Ignored for `quijote_full`.") # noqa
parser.add_argument("--bw", type=float, default=0.2,
help="Bin width in dex.")
parser.add_argument("--verbose", type=lambda x: bool(strtobool(x)),
default=False, help="Verbosity flag.")
parser_args = parser.parse_args()
paths = csiborgtools.read.Paths(**csiborgtools.paths_glamdring)
nsims = get_nsims(parser_args, paths)
bins = numpy.arange(11., 16., parser_args.bw, dtype=numpy.float32)
def do_work(nsim):
get_counts(nsim, bins, paths, parser_args)
work_delegation(do_work, nsims, MPI.COMM_WORLD)