mirror of
https://github.com/Richard-Sti/csiborgtools.git
synced 2024-10-18 20:15:05 +02:00
255bec9710
* Fix small bug * Add fiducial observers * Rename 1D knn * Add new bounds system * rm whitespace * Add boudns * Add simname to paths * Add fiducial obserevrs * apply bounds only if not none * Add TODO * add simnames * update script * Fix distance bug * update yaml * Update file reading * Update gitignore * Add plots * add check if empty list * add func to obtaining cross * Update nb * Remove blank lines * update ignroes * loop over a few ics * update gitignore * add comments
122 lines
3.8 KiB
Python
122 lines
3.8 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 copy import deepcopy
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from datetime import datetime
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from warnings import warn
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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 master_process, worker_process
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from .cluster_knn_auto import read_single
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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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###############################################################################
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# MPI and arguments #
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###############################################################################
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comm = MPI.COMM_WORLD
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rank = comm.Get_rank()
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nproc = comm.Get_size()
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parser = ArgumentParser()
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parser.add_argument("--runs", type=str, nargs="+")
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parser.add_argument("--ics", type=int, nargs="+", default=None,
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help="IC realisations. If `-1` processes all simulations.")
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parser.add_argument("--simname", type=str, choices=["csiborg", "quijote"])
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args = parser.parse_args()
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with open("../scripts/tpcf_auto.yml", "r") as file:
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config = yaml.safe_load(file)
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Rmax = 155 / 0.705 # Mpc (h = 0.705) high resolution region radius
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paths = csiborgtools.read.Paths()
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tpcf = csiborgtools.clustering.Mock2PCF()
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if args.ics is None or args.ics[0] == -1:
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if args.simname == "csiborg":
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ics = paths.get_ics()
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else:
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ics = paths.get_quijote_ics()
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else:
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ics = args.ics
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###############################################################################
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# Analysis #
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###############################################################################
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def do_auto(run, nsim):
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_config = config.get(run, None)
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if _config is None:
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warn("No configuration for run {}.".format(run), stacklevel=1)
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return
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rvs_gen = csiborgtools.clustering.RVSinsphere(Rmax)
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bins = numpy.logspace(
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numpy.log10(config["rpmin"]),
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numpy.log10(config["rpmax"]),
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config["nrpbins"] + 1,
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)
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cat = read_single(nsim, _config)
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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.tpcfauto_path(args.simname, run, nsim)
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joblib.dump({"rp": rp, "wp": wp}, fout)
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def do_runs(nsim):
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for run in args.runs:
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do_auto(run, nsim)
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###############################################################################
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# MPI task delegation #
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###############################################################################
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if nproc > 1:
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if rank == 0:
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tasks = deepcopy(ics)
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master_process(tasks, comm, verbose=True)
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else:
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worker_process(do_runs, comm, verbose=False)
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else:
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tasks = deepcopy(ics)
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for task in tasks:
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print("{}: completing task `{}`.".format(datetime.now(), task))
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do_runs(task)
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comm.Barrier()
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if rank == 0:
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print("{}: all finished.".format(datetime.now()))
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quit() # Force quit the script
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