mirror of
https://github.com/Richard-Sti/csiborgtools.git
synced 2024-12-22 17:08:03 +00:00
e08c741fc8
* Add periodic distances * Little corrections * Fix little bug * Modernise the script * Small updates * Remove clump * Add new halo routines * Fix weights * Modernise the script * Add check ups on convergence * More convergence check ups * Edit bounds * Add default argument * Update fit heuristic and NaNs * Change maxiter * Switch NFW minimization to log-sapce * Remove print statement * Turn convert_from_box abstract property required for all boxes. * Move files * Simplify script * Improve the argument parser * Remove optinal argument * Improve argument parser * Add a minimum concentration limit
82 lines
2.9 KiB
Python
82 lines
2.9 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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A script to calculate the auto-2PCF of CSiBORG catalogues.
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"""
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from argparse import ArgumentParser
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from datetime import datetime
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from distutils.util import strtobool
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import joblib
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import numpy
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import yaml
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from mpi4py import MPI
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from taskmaster import work_delegation
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from utils import open_catalogues
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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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import csiborgtools
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def do_auto(args, config, cats, nsim, paths):
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tpcf = csiborgtools.clustering.Mock2PCF()
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rvs_gen = csiborgtools.clustering.RVSinsphere(args.Rmax)
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bins = numpy.logspace(
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numpy.log10(config["rpmin"]), numpy.log10(config["rpmax"]),
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config["nrpbins"] + 1,)
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cat = cats[nsim]
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pos = cat.position(in_initial=False, cartesian=True)
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nrandom = int(config["randmult"] * pos.shape[0])
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rp, wp = tpcf(pos, rvs_gen, nrandom, bins)
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fout = paths.knnauto(args.simname, args.run, nsim)
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joblib.dump({"rp": rp, "wp": wp}, fout)
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if __name__ == "__main__":
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parser = ArgumentParser()
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parser.add_argument("--run", type=str, help="Run name.")
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parser.add_argument("--simname", type=str, choices=["csiborg", "quijote"],
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help="Simulation name")
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parser.add_argument("--nsims", type=int, nargs="+", default=None,
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help="Indices of simulations to cross. If `-1` processes all simulations.") # noqa
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parser.add_argument("--Rmax", type=float, default=155/0.705,
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help="High-resolution region radius.")
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parser.add_argument("--verbose", type=lambda x: bool(strtobool(x)),
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default=False, help="Verbosity flag.")
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args = parser.parse_args()
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with open("./cluster_tpcf_auto.yml", "r") as file:
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config = yaml.safe_load(file)
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comm = MPI.COMM_WORLD
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paths = csiborgtools.read.Paths(**csiborgtools.paths_glamdring)
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cats = open_catalogues(args, config, paths, comm)
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if args.verbose and comm.Get_rank() == 0:
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print(f"{datetime.now()}: starting to calculate the 2PCF statistic.")
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def do_work(nsim):
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return do_auto(args, config, cats, nsim, paths)
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nsims = list(cats.keys())
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work_delegation(do_work, nsims, comm)
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