mirror of
https://github.com/Richard-Sti/csiborgtools.git
synced 2024-12-22 21:58:02 +00:00
2185846e90
* Updat ebounds * fix mistake * add plot script * fix which sims * Add Poisson * Just docs * Hide things to __main__ * Rename paths * Move old script * Remove radpos * Paths renaming * Paths renaming * Remove trunk stuff * Add import * Add nearest neighbour search * Add Quijote fiducial indices * Add final snapshot matching * Add fiducial observer selection * add boxsizes * Add reading functions * Little stuff * Bring back the fiducial observer * Add arguments * Add quijote paths * Add notes * Get this running * Add yaml * Remove Poisson stuff * Get the 2PCF script running * Add not finished htings * Remove comment * Verbosity only on 0th rank! * Update plotting style * Add nearest neighbour CDF * Save radial distance too * Add centres * Add basic plotting
120 lines
5.1 KiB
Python
120 lines
5.1 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 copy import deepcopy
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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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def pair_match(nsim0, nsimx, sigma, smoothen, verbose):
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from csiborgtools.read import HaloCatalogue, read_h5
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paths = csiborgtools.read.Paths(**csiborgtools.paths_glamdring)
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smooth_kwargs = {"sigma": 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
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# positions and the particle archives.
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bounds = {"totpartmass": (1e12, None)}
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cat0 = HaloCatalogue(nsim0, paths, load_initial=True, bounds=bounds,
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with_lagpatch=True, load_clumps_cat=True)
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catx = HaloCatalogue(nsimx, paths, load_initial=True, bounds=bounds,
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with_lagpatch=True, load_clumps_cat=True)
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clumpmap0 = read_h5(paths.particles(nsim0))["clumpmap"]
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parts0 = read_h5(paths.initmatch(nsim0, "particles"))["particles"]
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clid2map0 = {clid: i for i, clid in enumerate(clumpmap0[:, 0])}
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clumpmapx = read_h5(paths.particles(nsimx))["clumpmap"]
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partsx = read_h5(paths.initmatch(nsimx, "particles"))["particles"]
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clid2mapx = {clid: i for i, clid in enumerate(clumpmapx[:, 0])}
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# We generate the background density fields. Loads halos's particles one by
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# one from the archive, concatenates them and calculates the NGP density
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# field.
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if verbose:
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print(f"{datetime.now()}: generating the background density fields.",
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flush=True)
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delta_bckg = overlapper.make_bckg_delta(parts0, clumpmap0, clid2map0, cat0,
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verbose=verbose)
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delta_bckg = overlapper.make_bckg_delta(partsx, clumpmapx, clid2mapx, catx,
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delta=delta_bckg, verbose=verbose)
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# We calculate the overlap between the NGP fields.
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if verbose:
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print(f"{datetime.now()}: crossing the simulations.", flush=True)
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match_indxs, ngp_overlap = matcher.cross(cat0, catx, parts0, partsx,
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clumpmap0, clumpmapx, delta_bckg,
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verbose=verbose)
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# We wish to store the halo IDs of the matches, not their array positions
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# in the catalogues
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match_hids = deepcopy(match_indxs)
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for i, matches in enumerate(match_indxs):
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for j, match in enumerate(matches):
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match_hids[i][j] = catx["index"][match]
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fout = paths.overlap(nsim0, nsimx, smoothed=False)
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numpy.savez(fout, ref_hids=cat0["index"], match_hids=match_hids,
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ngp_overlap=ngp_overlap)
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if verbose:
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print(f"{datetime.now()}: calculated NGP overlap, saved to {fout}.",
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flush=True)
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if not smoothen:
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quit()
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# We now smoothen up the background density field for the smoothed overlap
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# calculation.
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if verbose:
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print(f"{datetime.now()}: smoothing the background field.", flush=True)
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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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smoothed_overlap = matcher.smoothed_cross(cat0, catx, parts0, partsx,
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clumpmap0, clumpmapx, delta_bckg,
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match_indxs, smooth_kwargs,
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verbose=verbose)
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fout = paths.overlap(nsim0, nsimx, smoothed=True)
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numpy.savez(fout, smoothed_overlap=smoothed_overlap, sigma=sigma)
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if verbose:
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print(f"{datetime.now()}: calculated smoothing, saved to {fout}.",
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flush=True)
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if __name__ == "__main__":
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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("--sigma", type=float, default=None)
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parser.add_argument("--smoothen", type=lambda x: bool(strtobool(x)),
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default=None)
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parser.add_argument("--verbose", type=lambda x: bool(strtobool(x)),
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default=False)
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args = parser.parse_args()
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pair_match(args.nsim0, args.nsimx, args.sigma, args.smoothen, args.verbose)
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