mirror of
https://github.com/Richard-Sti/csiborgtools.git
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ce55a2b47e
* Parallelize over simulations * Update docs * Update dependency * Update imports * Add adtitional dependencies * Update .gitignore * Update ERADME * Simplify numpyro GOF * Speed up GOF * Deepcopy samples * Update scripts * Add GPU acceleration * Select boxes * Update script * Optionally sample beta * Fix old code * Simplify code * Start saving log posterior * Start popping log_likeliood * Add imports * Add converting samples * Fix sctipt name * Add evidence with harmonic * Remove comment * Update imports * Update imports so that pylians not required * Stop requiring Pylians to be installed * Update submission scripts for loops * Update nb * Update nb * Add Manticore boxes * Add verbosity flag * Add bulk flow * Update script * Update nb * Update normalization * Update submit * Update nb
63 lines
3.1 KiB
Python
63 lines
3.1 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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from csiborgtools import clustering, field, flow, halo, match, read, summary # noqa
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from .clusters import clusters # noqa
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from .utils import (center_of_mass, delta2ncells, number_counts, # noqa
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periodic_distance, periodic_distance_two_points, # noqa
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binned_statistic, cosine_similarity, fprint, # noqa
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hms_to_degrees, dms_to_degrees, great_circle_distance, # noqa
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radec_to_cartesian, cartesian_to_radec, # noqa
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thin_samples_by_acl, BIC_AIC, radec_to_galactic, # noqa
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heliocentric_to_cmb, calculate_acl, harmonic_evidence, # noqa
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dict_samples_to_array) # noqa
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from .params import (paths_glamdring, simname2boxsize, simname2Omega_m, # noqa
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snap2redshift) # noqa
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###############################################################################
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# Surveys #
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###############################################################################
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class SDSS:
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@staticmethod
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def steps(cls):
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return [(lambda x: cls[x], ("IN_DR7_LSS",)),
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(lambda x: cls[x] < 17.6, ("ELPETRO_APPMAG_r", )),
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(lambda x: cls[x] < 155, ("DIST", ))
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]
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def __call__(self, fpath=None, apply_selection=True):
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if fpath is None:
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fpath = "/mnt/extraspace/rstiskalek/catalogs/nsa_v1_0_1.fits"
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sel_steps = self.steps if apply_selection else None
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return read.SDSS(fpath, h=1, sel_steps=sel_steps)
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class SDSSxALFALFA:
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@staticmethod
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def steps(cls):
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return [(lambda x: cls[x], ("IN_DR7_LSS",)),
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(lambda x: cls[x] < 17.6, ("ELPETRO_APPMAG_r", )),
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(lambda x: cls[x] < 155, ("DIST", ))
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]
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def __call__(self, fpath=None, apply_selection=True):
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if fpath is None:
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fpath = "/mnt/extraspace/rstiskalek/catalogs/5asfullmatch.fits"
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sel_steps = self.steps if apply_selection else None
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survey = read.SDSS(fpath, h=1, sel_steps=sel_steps)
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survey.name = "SDSSxALFALFA"
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return survey
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