mirror of
https://github.com/Richard-Sti/csiborgtools.git
synced 2024-10-18 22:25:05 +02:00
90 lines
2.9 KiB
Python
90 lines
2.9 KiB
Python
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# Copyright (C) 2023 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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from argparse import ArgumentParser
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import matplotlib.pyplot as plt
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import scienceplots # noqa
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from cache_to_disk import cache_to_disk, delete_disk_caches_for_function
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import utils
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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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@cache_to_disk(7)
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def read_cdf(simname, run, kwargs):
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paths = csiborgtools.read.Paths(**kwargs["paths_kind"])
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reader = csiborgtools.read.NearestNeighbourReader(**kwargs, paths=paths)
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return reader.build_cdf(simname, run, verbose=True)
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def plot_cdf(kwargs):
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print("Plotting the CDFs.", flush=True)
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paths = csiborgtools.read.Paths(**kwargs["paths_kind"])
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reader = csiborgtools.read.NearestNeighbourReader(**kwargs, paths=paths)
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x = reader.bin_centres("neighbour")
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y_quijote = read_cdf("quijote", "mass003", kwargs)
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y_csiborg = read_cdf("csiborg", "mass003", kwargs)
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ncdf = y_quijote.shape[0]
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with plt.style.context(utils.mplstyle):
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plt.figure()
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for i in range(ncdf):
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if i == 0:
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label1 = "Quijote"
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label2 = "CSiBORG"
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else:
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label1 = None
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label2 = None
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plt.plot(x, y_quijote[i], c="C0", label=label1)
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plt.plot(x, y_csiborg[i], c="C1", label=label2)
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plt.xlim(0, 75)
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plt.ylim(0, 1)
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plt.xlabel(r"$r_{\rm neighbour}~[\mathrm{Mpc}]$")
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plt.ylabel(r"$\mathrm{CDF}(r_{\rm neighbour})$")
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plt.legend()
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plt.tight_layout()
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plt.savefig("../plots/nearest_neighbour_cdf.png", dpi=450,
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bbox_inches="tight")
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plt.close()
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if __name__ == "__main__":
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parser = ArgumentParser()
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parser.add_argument('-c', '--clean', action='store_true')
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args = parser.parse_args()
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kwargs = {"rmax_radial": 155 / 0.705,
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"nbins_radial": 20,
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"rmax_neighbour": 100.,
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"nbins_neighbour": 150,
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"paths_kind": csiborgtools.paths_glamdring}
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cached_funcs = ["read_cdf"]
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if args.clean:
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for func in cached_funcs:
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print(f"Cleaning cache for function {func}.")
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delete_disk_caches_for_function(func)
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plot_cdf(kwargs)
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