mirror of
https://github.com/Richard-Sti/csiborgtools.git
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109 lines
4.2 KiB
Python
109 lines
4.2 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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Script to calculate the peculiar velocity of an observer in the centre of the
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CSiBORG box.
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"""
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from argparse import ArgumentParser
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from distutils.util import strtobool
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import numpy
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from mpi4py import MPI
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from taskmaster import work_delegation
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from tqdm import tqdm
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from utils import get_nsims
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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 observer_peculiar_velocity(nsim, parser_args):
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"""
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Calculate the peculiar velocity of an observer in the centre of the box
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for several smoothing scales.
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"""
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pos = numpy.array([0.5, 0.5, 0.5]).reshape(-1, 3)
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boxsize = 677.7
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smooth_scales = [0, 0.5, 1.0, 1.5, 2.0, 2.5, 3.0, 3.5, 4.0]
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observer_vp = numpy.full((len(smooth_scales), 3), numpy.nan,
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dtype=numpy.float32)
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paths = csiborgtools.read.Paths(**csiborgtools.paths_glamdring)
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field_path = paths.field("velocity", parser_args.MAS, parser_args.grid,
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nsim, in_rsp=False)
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field0 = numpy.load(field_path)
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for j, smooth_scale in enumerate(tqdm(smooth_scales,
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desc="Smoothing the fields",
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disable=not parser_args.verbose)):
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if smooth_scale > 0:
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field = [None, None, None]
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for k in range(3):
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field[k] = csiborgtools.field.smoothen_field(
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field0[k], smooth_scale, boxsize)
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else:
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field = field0
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v = csiborgtools.field.evaluate_cartesian(
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field[0], field[1], field[2], pos=pos)
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observer_vp[j, 0] = v[0][0]
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observer_vp[j, 1] = v[1][0]
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observer_vp[j, 2] = v[2][0]
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fout = paths.observer_peculiar_velocity(parser_args.MAS, parser_args.grid,
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nsim)
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if parser_args.verbose:
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print(f"Saving to ... `{fout}`")
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numpy.savez(fout, smooth_scales=smooth_scales, observer_vp=observer_vp)
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return observer_vp
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###############################################################################
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# Command line interface #
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###############################################################################
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if __name__ == "__main__":
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parser = ArgumentParser()
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parser.add_argument("--nsims", type=int, nargs="+", default=None,
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help="IC realisations. `-1` for all simulations.")
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parser.add_argument("--kind", type=str,
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choices=["density", "rspdensity", "velocity", "radvel",
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"potential", "environment"],
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help="What derived field to calculate?")
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parser.add_argument("--MAS", type=str,
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choices=["NGP", "CIC", "TSC", "PCS"])
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parser.add_argument("--grid", type=int, help="Grid resolution.")
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parser.add_argument("--verbose", type=lambda x: bool(strtobool(x)),
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help="Verbosity flag for reading in particles.")
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parser.add_argument("--simname", type=str, default="csiborg",
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help="Verbosity flag for reading in particles.")
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parser_args = parser.parse_args()
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comm = MPI.COMM_WORLD
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paths = csiborgtools.read.Paths(**csiborgtools.paths_glamdring)
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nsims = get_nsims(parser_args, paths)
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def main(nsim):
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return observer_peculiar_velocity(nsim, parser_args)
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work_delegation(main, nsims, comm, master_verbose=True)
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