mirror of
https://github.com/Richard-Sti/csiborgtools.git
synced 2024-12-22 17:08:03 +00:00
eccd8e3507
* Improve calculations * Improve flags * Add smoothed options * Remove some old comments * Edit little things * Save smoothed * Move files * Edit imports * Edit imports * Renaming imports * Renaming imports * Sort imports * Sort files * Sorting * Optionally make copies of the field * Add quijote backup check * Add direct field smoothing * Shorten stupid documentation * Shorten stupid docs * Update conversion * Add particles to ASCII conversion * Add a short comment * Add SDSS uncorrected distance * Adjust comment * Add FITS index to galaxies * Remove spare space * Remove a stupid line * Remove blank line * Make space separated * Add interpolated field path * Add field sampling * Sort imports * Return density in cells * Clear out observer velocity * Add 170817 sampling * Fix normalization * Update plot
270 lines
11 KiB
Python
270 lines
11 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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MPI script to calculate density field-derived fields in the CSiBORG
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simulations' final snapshot.
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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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from gc import collect
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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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import csiborgtools
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from utils import get_nsims
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###############################################################################
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# Density field #
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###############################################################################
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def density_field(nsim, parser_args, to_save=True):
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"""
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Calculate the density field in the CSiBORG simulation.
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"""
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paths = csiborgtools.read.Paths(**csiborgtools.paths_glamdring)
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nsnap = max(paths.get_snapshots(nsim, "csiborg"))
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box = csiborgtools.read.CSiBORGBox(nsnap, nsim, paths)
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if not parser_args.in_rsp:
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parts = csiborgtools.read.read_h5(paths.particles(nsim, "csiborg"))
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parts = parts["particles"]
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gen = csiborgtools.field.DensityField(box, parser_args.MAS)
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field = gen(parts, parser_args.grid, verbose=parser_args.verbose)
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else:
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field = numpy.load(paths.field(
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"density", parser_args.MAS, parser_args.grid, nsim, False))
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radvel_field = numpy.load(paths.field(
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"radvel", parser_args.MAS, parser_args.grid, nsim, False))
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if parser_args.verbose:
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print(f"{datetime.now()}: converting density field to RSP.",
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flush=True)
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field = csiborgtools.field.field2rsp(field, radvel_field, box,
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parser_args.MAS)
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if to_save:
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fout = paths.field(parser_args.kind, parser_args.MAS, parser_args.grid,
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nsim, parser_args.in_rsp)
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print(f"{datetime.now()}: saving output to `{fout}`.")
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numpy.save(fout, field)
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return field
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###############################################################################
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# Velocity field #
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###############################################################################
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def velocity_field(nsim, parser_args, to_save=True):
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"""
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Calculate the velocity field in a CSiBORG simulation.
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"""
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if parser_args.in_rsp:
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raise NotImplementedError("Velocity field in RSP is not implemented.")
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paths = csiborgtools.read.Paths(**csiborgtools.paths_glamdring)
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nsnap = max(paths.get_snapshots(nsim, "csiborg"))
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box = csiborgtools.read.CSiBORGBox(nsnap, nsim, paths)
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parts = csiborgtools.read.read_h5(paths.particles(nsim, "csiborg"))
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parts = parts["particles"]
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gen = csiborgtools.field.VelocityField(box, parser_args.MAS)
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field = gen(parts, parser_args.grid, verbose=parser_args.verbose)
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if to_save:
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fout = paths.field("velocity", parser_args.MAS, parser_args.grid,
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nsim, in_rsp=False)
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print(f"{datetime.now()}: saving output to `{fout}`.")
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numpy.save(fout, field)
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return field
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###############################################################################
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# Radial velocity field #
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###############################################################################
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def radvel_field(nsim, parser_args, to_save=True):
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"""
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Calculate the radial velocity field in the CSiBORG simulation.
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"""
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if parser_args.in_rsp:
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raise NotImplementedError("Radial vel. field in RSP not implemented.")
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paths = csiborgtools.read.Paths(**csiborgtools.paths_glamdring)
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nsnap = max(paths.get_snapshots(nsim, "csiborg"))
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box = csiborgtools.read.CSiBORGBox(nsnap, nsim, paths)
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vel = numpy.load(paths.field("velocity", parser_args.MAS, parser_args.grid,
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nsim, parser_args.in_rsp))
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observer_velocity = csiborgtools.field.observer_vobs(vel)
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gen = csiborgtools.field.VelocityField(box, parser_args.MAS)
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field = gen.radial_velocity(vel, observer_velocity)
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if to_save:
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fout = paths.field("radvel", parser_args.MAS, parser_args.grid,
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nsim, parser_args.in_rsp)
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print(f"{datetime.now()}: saving output to `{fout}`.")
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numpy.save(fout, field)
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return field
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###############################################################################
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# Potential field #
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###############################################################################
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def potential_field(nsim, parser_args, to_save=True):
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"""
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Calculate the potential field in the CSiBORG simulation.
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"""
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paths = csiborgtools.read.Paths(**csiborgtools.paths_glamdring)
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nsnap = max(paths.get_snapshots(nsim, "csiborg"))
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box = csiborgtools.read.CSiBORGBox(nsnap, nsim, paths)
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if not parser_args.in_rsp:
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rho = numpy.load(paths.field(
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"density", parser_args.MAS, parser_args.grid, nsim, in_rsp=False))
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density_gen = csiborgtools.field.DensityField(box, parser_args.MAS)
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rho = density_gen.overdensity_field(rho)
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gen = csiborgtools.field.PotentialField(box, parser_args.MAS)
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field = gen(rho)
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else:
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field = numpy.load(paths.field(
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"potential", parser_args.MAS, parser_args.grid, nsim, False))
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radvel_field = numpy.load(paths.field(
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"radvel", parser_args.MAS, parser_args.grid, nsim, False))
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field = csiborgtools.field.field2rsp(field, radvel_field, box,
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parser_args.MAS)
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if to_save:
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fout = paths.field(parser_args.kind, parser_args.MAS, parser_args.grid,
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nsim, parser_args.in_rsp)
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print(f"{datetime.now()}: saving output to `{fout}`.")
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numpy.save(fout, field)
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return field
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###############################################################################
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# Environment classification #
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###############################################################################
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def environment_field(nsim, parser_args, to_save=True):
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"""
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Calculate the environmental classification in the CSiBORG simulation.
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"""
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paths = csiborgtools.read.Paths(**csiborgtools.paths_glamdring)
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nsnap = max(paths.get_snapshots(nsim, "csiborg"))
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box = csiborgtools.read.CSiBORGBox(nsnap, nsim, paths)
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rho = numpy.load(paths.field(
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"density", parser_args.MAS, parser_args.grid, nsim, in_rsp=False))
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density_gen = csiborgtools.field.DensityField(box, parser_args.MAS)
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rho = density_gen.overdensity_field(rho)
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if parser_args.smooth_scale > 0.0:
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rho = csiborgtools.field.smoothen_field(
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rho, parser_args.smooth_scale, box.box2mpc(1.))
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gen = csiborgtools.field.TidalTensorField(box, parser_args.MAS)
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field = gen(rho)
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del rho
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collect()
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if parser_args.in_rsp:
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radvel_field = numpy.load(paths.field(
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"radvel", parser_args.MAS, parser_args.grid, nsim, False))
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args = (radvel_field, box, parser_args.MAS)
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field.T00 = csiborgtools.field.field2rsp(field.T00, *args)
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field.T11 = csiborgtools.field.field2rsp(field.T11, *args)
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field.T22 = csiborgtools.field.field2rsp(field.T22, *args)
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field.T01 = csiborgtools.field.field2rsp(field.T01, *args)
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field.T02 = csiborgtools.field.field2rsp(field.T02, *args)
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field.T12 = csiborgtools.field.field2rsp(field.T12, *args)
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del radvel_field
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collect()
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eigvals = gen.tensor_field_eigvals(field)
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del field
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collect()
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env = gen.eigvals_to_environment(eigvals)
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if to_save:
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fout = paths.field("environment", parser_args.MAS, parser_args.grid,
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nsim, parser_args.in_rsp, parser_args.smooth_scale)
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print(f"{datetime.now()}: saving output to `{fout}`.")
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numpy.save(fout, env)
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return env
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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("--in_rsp", type=lambda x: bool(strtobool(x)),
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help="Calculate in RSP?")
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parser.add_argument("--smooth_scale", type=float, default=0.0,
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help="Smoothing scale in Mpc / h. Only used for the environment field.") # noqa
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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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if parser_args.kind == "density" or parser_args.kind == "rspdensity":
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density_field(nsim, parser_args)
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elif parser_args.kind == "velocity":
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velocity_field(nsim, parser_args)
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elif parser_args.kind == "radvel":
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radvel_field(nsim, parser_args)
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elif parser_args.kind == "potential":
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potential_field(nsim, parser_args)
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elif parser_args.kind == "environment":
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environment_field(nsim, parser_args)
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else:
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raise RuntimeError(f"Field {parser_args.kind} is not implemented.")
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work_delegation(main, nsims, comm, master_verbose=True)
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