mirror of
https://github.com/Richard-Sti/csiborgtools.git
synced 2024-10-19 00:25:05 +02:00
04119a5314
* pep8 * fix convention * Update script * enforce optimisation boundaries to be finite * Update TODO * Remove sky matching * FIx a small bug * fix bug * Remove import * Add halo fitted quantities * Update nbs * update README * Add load_initial comments * Rename nbs * Delete nb * Update imports * Rename function * Update matcher * Add overlap paths * Update the matching script * Update verbosity * Add verbosity flags * Simplify make_bckg_delta * bug fix * fix bug
99 lines
3.6 KiB
Python
99 lines
3.6 KiB
Python
# 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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"""A script to calculate overlap between two CSiBORG realisations."""
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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 numpy
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from scipy.ndimage import gaussian_filter
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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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# Argument parser
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parser = ArgumentParser()
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parser.add_argument("--nsim0", type=int)
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parser.add_argument("--nsimx", type=int)
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parser.add_argument("--nmult", type=float)
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parser.add_argument("--sigma", type=float)
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parser.add_argument("--verbose", type=lambda x: bool(strtobool(x)), default=False)
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args = parser.parse_args()
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paths = csiborgtools.read.CSiBORGPaths(**csiborgtools.paths_glamdring)
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smooth_kwargs = {"sigma": args.sigma, "mode": "constant", "cval": 0.0}
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overlapper = csiborgtools.match.ParticleOverlap()
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matcher = csiborgtools.match.RealisationsMatcher()
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# Load the raw catalogues (i.e. no selection) including the initial CM positions
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# and the particle archives.
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cat0 = csiborgtools.read.HaloCatalogue(
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args.nsim0, paths, load_initial=True, rawdata=True
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)
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catx = csiborgtools.read.HaloCatalogue(
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args.nsimx, paths, load_initial=True, rawdata=True
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)
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halos0_archive = paths.initmatch_path(args.nsim0, "particles")
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halosx_archive = paths.initmatch_path(args.nsimx, "particles")
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# We generate the background density fields. Loads halos's particles one by one
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# from the archive, concatenates them and calculates the NGP density field.
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args.verbose and print(
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"{}: generating the background density fields.".format(datetime.now()), flush=True
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)
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delta_bckg = overlapper.make_bckg_delta(halos0_archive, verbose=args.verbose)
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delta_bckg = overlapper.make_bckg_delta(
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halosx_archive, delta=delta_bckg, verbose=args.verbose
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)
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# We calculate the overlap between the NGP fields.
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args.verbose and print(
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"{}: crossing the simulations.".format(datetime.now()), flush=True
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)
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match_indxs, ngp_overlap = matcher.cross(
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cat0, catx, halos0_archive, halosx_archive, delta_bckg
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)
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# We now smoothen up the background density field for the smoothed overlap calculation.
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args.verbose and print(
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"{}: smoothing the background field.".format(datetime.now()), flush=True
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)
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gaussian_filter(delta_bckg, output=delta_bckg, **smooth_kwargs)
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# We calculate the smoothed overlap for the pairs whose NGP overlap is > 0.
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args.verbose and print(
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"{}: calculating smoothed overlaps.".format(datetime.now()), flush=True
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)
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smoothed_overlap = matcher.smoothed_cross(
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cat0, catx, halos0_archive, halosx_archive, delta_bckg, match_indxs, smooth_kwargs
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)
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# We save the results at long last.
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fout = paths.overlap_path(args.nsim0, args.nsimx)
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args.verbose and print(
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"{}: saving results to `{}`.".format(datetime.now(), fout), flush=True
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)
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numpy.savez(
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fout,
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match_indxs=match_indxs,
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ngp_overlap=ngp_overlap,
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smoothed_overlap=smoothed_overlap,
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sigma=args.sigma,
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)
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print("{}: all finished.".format(datetime.now()), flush=True)
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