mirror of
https://github.com/Richard-Sti/csiborgtools.git
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5dd8c668fa
* Simplify smoothing support and looping over nonzero * Simplify comments * add now() * add cat length * add smoothed calculation * add smoothing * Add sorting * Edit what is ignored * Move notebooks * Add nonsymmetric smoothed overlap * Update NB * Add support for reading in the smoothed overlap * Switch to the true overlap definition * Reader of the true overlap * rem occups * Import moved to a class * Move definition * Edit submission script * Update to account for the new definition * backup nb * Switch back to properly initialising arrays * Fix addition bug * Update NB * Fix little bug * Update nb
89 lines
3.5 KiB
Python
89 lines
3.5 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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"""A script to calculate overlap between two CSiBORG realisations."""
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from os.path import join
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from argparse import ArgumentParser
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from datetime import datetime
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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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import utils
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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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args = parser.parse_args()
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# File paths
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fout = join(utils.dumpdir, "overlap",
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"cross_{}_{}.npz".format(args.nsim0, args.nsimx))
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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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# Load catalogues
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print("{}: loading catalogues {} and {}."
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.format(datetime.now(), args.nsim0, args.nsimx), flush=True)
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cat0 = csiborgtools.read.HaloCatalogue(args.nsim0)
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catx = csiborgtools.read.HaloCatalogue(args.nsimx)
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print("{}: loading simulation {} and converting positions to cell numbers."
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.format(datetime.now(), args.nsim0), flush=True)
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with open(cat0.paths.clump0_path(args.nsim0), "rb") as f:
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clumps0 = numpy.load(f, allow_pickle=True)
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overlapper.clumps_pos2cell(clumps0)
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print("{}: loading simulation {} and converting positions to cell numbers."
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.format(datetime.now(), args.nsimx), flush=True)
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with open(catx.paths.clump0_path(args.nsimx), 'rb') as f:
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clumpsx = numpy.load(f, allow_pickle=True)
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overlapper.clumps_pos2cell(clumpsx)
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print("{}: generating the background density fields.".format(datetime.now()),
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flush=True)
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delta_bckg = overlapper.make_bckg_delta(clumps0)
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delta_bckg = overlapper.make_bckg_delta(clumpsx, delta=delta_bckg)
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print("{}: crossing the simulations.".format(datetime.now()), flush=True)
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matcher = csiborgtools.match.RealisationsMatcher()
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ref_indxs, cross_indxs, match_indxs, ngp_overlap = matcher.cross(
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cat0, catx, clumps0, clumpsx, delta_bckg)
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print("{}: smoothing the background field.".format(datetime.now()), flush=True)
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gaussian_filter(delta_bckg, output=delta_bckg, **smooth_kwargs)
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print("{}: calculating smoothed overlaps.".format(datetime.now()), flush=True)
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smoothed_overlap = matcher.smoothed_cross(clumps0, clumpsx, delta_bckg,
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ref_indxs, cross_indxs, match_indxs,
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smooth_kwargs)
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# Dump the result
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print("Saving results to `{}`.".format(fout), flush=True)
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with open(fout, "wb") as f:
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numpy.savez(fout, ref_indxs=ref_indxs, cross_indxs=cross_indxs,
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match_indxs=match_indxs, ngp_overlap=ngp_overlap,
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smoothed_overlap=smoothed_overlap, sigma=args.sigma)
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print("All finished.", flush=True)
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