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https://github.com/Richard-Sti/csiborgtools.git
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Fix catalogues and add CSiBORG 2 catalogue support (#98)
* Add box selection to snapshot * Edit imports * Rename catalogue * Add beautified catalogues * Fix paths issue * Create params to avoid circular import * Add CSiBORG2 catalogue support * Remove print statement * Edit docs
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6 changed files with 642 additions and 418 deletions
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@ -18,51 +18,7 @@ from .utils import (center_of_mass, delta2ncells, number_counts,
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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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# Arguments to csiborgtools.read.Paths.
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paths_glamdring = {
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"csiborg1_srcdir": "/mnt/extraspace/rstiskalek/csiborg1",
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"csiborg2_main_srcdir": "/mnt/extraspace/rstiskalek/csiborg2_main",
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"csiborg2_varysmall_srcdir": "/mnt/extraspace/rstiskalek/csiborg2_varysmall", # noqa
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"csiborg2_random_srcdir": "/mnt/extraspace/rstiskalek/csiborg2_random", # noqa
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"postdir": "/mnt/extraspace/rstiskalek/csiborg_postprocessing/",
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"quijote_dir": "/mnt/extraspace/rstiskalek/quijote",
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}
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neighbour_kwargs = {"rmax_radial": 155 / 0.705,
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"nbins_radial": 50,
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"rmax_neighbour": 100.,
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"nbins_neighbour": 150,
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"paths_kind": paths_glamdring}
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def simname2boxsize(simname):
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"""
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Return boxsize in `Mpc/h` for a given simname.
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Parameters
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----------
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simname : str
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Simulation name.
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Returns
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-------
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boxsize : float
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"""
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d = {"csiborg1": 677.7,
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"csiborg2_main": 676.6,
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"csiborg2_varysmall": 676.6,
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"csiborg2_random": 676.6,
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"quijote": 1000.
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}
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boxsize = d.get(simname, None)
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if boxsize is None:
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raise ValueError("Unknown simname: {}".format(simname))
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return boxsize
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from .params import paths_glamdring, simname2boxsize # noqa
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###############################################################################
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62
csiborgtools/params.py
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62
csiborgtools/params.py
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@ -0,0 +1,62 @@
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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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"""
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Various user parameters for csiborgtools.
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"""
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def simname2boxsize(simname):
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"""
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Return boxsize in `Mpc/h` for a given simname.
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Parameters
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----------
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simname : str
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Simulation name.
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Returns
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-------
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boxsize : float
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"""
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d = {"csiborg1": 677.7,
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"csiborg2_main": 676.6,
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"csiborg2_varysmall": 676.6,
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"csiborg2_random": 676.6,
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"quijote": 1000.
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}
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boxsize = d.get(simname, None)
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if boxsize is None:
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raise ValueError("Unknown simname: {}".format(simname))
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return boxsize
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paths_glamdring = {
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"csiborg1_srcdir": "/mnt/extraspace/rstiskalek/csiborg1",
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"csiborg2_main_srcdir": "/mnt/extraspace/rstiskalek/csiborg2_main",
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"csiborg2_varysmall_srcdir": "/mnt/extraspace/rstiskalek/csiborg2_varysmall", # noqa
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"csiborg2_random_srcdir": "/mnt/extraspace/rstiskalek/csiborg2_random", # noqa
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"postdir": "/mnt/extraspace/rstiskalek/csiborg_postprocessing/",
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"quijote_dir": "/mnt/extraspace/rstiskalek/quijote",
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}
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# neighbour_kwargs = {"rmax_radial": 155 / 0.705,
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# "nbins_radial": 50,
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# "rmax_neighbour": 100.,
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# "nbins_neighbour": 150,
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# "paths_kind": paths_glamdring}
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@ -12,8 +12,7 @@
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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 .catalogue import (CSiBORGCatalogue, QuijoteCatalogue, # noqa
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fiducial_observers) # noqa
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from .catalogue import CSiBORG1Catalogue, CSiBORG2Catalogue, QuijoteCatalogue # noqa
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from .snapshot import (CSIBORG1Snapshot, CSIBORG2Snapshot, QuijoteSnapshot, # noqa
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CSiBORG1Field, CSiBORG2Field, QuijoteField) # noqa
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from .obs import (SDSS, MCXCClusters, PlanckClusters, TwoMPPGalaxies, # noqa
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File diff suppressed because it is too large
Load diff
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@ -18,10 +18,14 @@ should be implemented things such as flipping x- and z-axes, to make sure that
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observed RA-dec can be mapped into the simulation box.
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"""
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from abc import ABC, abstractmethod, abstractproperty
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import numpy
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import numpy
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from h5py import File
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from ..params import paths_glamdring, simname2boxsize
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from .paths import Paths
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from .util import find_boxed
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###############################################################################
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# Base snapshot class #
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###############################################################################
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@ -65,6 +69,30 @@ class BaseSnapshot(ABC):
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"""
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return self._nsnap
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@property
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def simname(self):
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"""
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Simulation name.
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Returns
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-------
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str
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"""
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if self._simname is None:
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raise ValueError("Simulation name not set.")
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return self._simname
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@property
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def boxsize(self):
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"""
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Simulation boxsize in `cMpc/h`.
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Returns
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-------
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float
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"""
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return simname2boxsize(self.simname)
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@property
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def paths(self):
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"""
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@ -74,6 +102,8 @@ class BaseSnapshot(ABC):
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-------
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Paths
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"""
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if self._paths is None:
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self._paths = Paths(**paths_glamdring)
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return self._paths
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@abstractproperty
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@ -191,6 +221,27 @@ class BaseSnapshot(ABC):
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"""
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pass
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def select_box(self, center, boxwidth):
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"""
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Find particle coordinates of particles within a box of size `boxwidth`
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centered on `center`.
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Parameters
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----------
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center : 1-dimensional array
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Center of the box.
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boxwidth : float
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Width of the box.
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Returns
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-------
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pos : 2-dimensional array
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"""
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pos = self.coordinates()
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mask = find_boxed(pos, center, boxwidth, self.boxsize)
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return pos[mask]
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###############################################################################
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# CSiBORG1 snapshot class #
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@ -208,13 +259,14 @@ class CSIBORG1Snapshot(BaseSnapshot):
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Simulation index.
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nsnap : int
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Snapshot index.
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paths : Paths
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paths : Paths, optional
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Paths object.
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"""
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def __init__(self, nsim, nsnap, paths):
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def __init__(self, nsim, nsnap, paths=None):
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super().__init__(nsim, nsnap, paths)
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self._snapshot_path = self.paths.snapshot(
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self.nsnap, self.nsim, "csiborg1")
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self._simname = "csiborg1"
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def _get_particles(self, kind):
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with File(self._snapshot_path, "r") as f:
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@ -285,17 +337,18 @@ class CSIBORG2Snapshot(BaseSnapshot):
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Simulation index.
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nsnap : int
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Snapshot index.
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paths : Paths
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Paths object.
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kind : str
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CSiBORG2 run kind. One of `main`, `random`, or `varysmall`.
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paths : Paths, optional
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Paths object.
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"""
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def __init__(self, nsim, nsnap, paths, kind):
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def __init__(self, nsim, nsnap, kind, paths=None):
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super().__init__(nsim, nsnap, paths)
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self.kind = kind
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self._snapshot_path = self.paths.snapshot(
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self.nsnap, self.nsim, f"csiborg2_{self.kind}")
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self._simname = f"csiborg2_{self.kind}"
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@property
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def kind(self):
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@ -426,13 +479,14 @@ class QuijoteSnapshot(CSIBORG1Snapshot):
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Simulation index.
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nsnap : int
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Snapshot index.
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paths : Paths
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paths : Paths, optional
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Paths object.
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"""
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def __init__(self, nsim, nsnap, paths):
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def __init__(self, nsim, nsnap, paths=None):
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super().__init__(nsim, nsnap, paths)
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self._snapshot_path = self.paths.snapshot(self.nsnap, self.nsim,
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"quijote")
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self._simname = "quijote"
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def _make_hid2offset(self):
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catalogue_path = self.paths.snapshot_catalogue(
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81
csiborgtools/read/util.py
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81
csiborgtools/read/util.py
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# 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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import numpy
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from numba import jit
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###############################################################################
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# Select particles in a box utility functions #
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###############################################################################
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@jit(nopython=True, fastmath=True, boundscheck=False)
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def pbc_distance(x1, x2, boxsize):
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"""Calculate periodic distance between two points."""
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delta = abs(x1 - x2)
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return min(delta, boxsize - delta)
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@jit(nopython=True, fastmath=True, boundscheck=False)
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def find_next_particle(start_index, end_index, pos, x0, y0, z0,
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half_width, boxsize):
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"""
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Find the next particle in a box of size `half_width` centered on `x0`,
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`y0`, `z0`, where the periodic simulation box size is `boxsize`.
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"""
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for i in range(start_index, end_index):
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x, y, z = pos[i]
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if ((pbc_distance(x, x0, boxsize) < half_width) and (pbc_distance(y, y0, boxsize) < half_width) and (pbc_distance(z, z0, boxsize) < half_width)): # noqa
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return i
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return None
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def find_boxed(pos, center, subbox_size, boxsize):
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"""
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Find indices of `pos` in a box of size `subbox_size` centered on
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`center`, where the simulation box size is `boxsize`.
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Parameters
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----------
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pos : 2-dimensional array of shape (nsamples, 3)
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Positions of all particles in the simulation.
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center : 1-dimensional array
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Center of the sub-box.
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subbox_size : float
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Size of the sub-box.
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boxsize : float
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Size of the simulation box.
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Returns
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-------
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indxs : 1-dimensional array of shape
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"""
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if isinstance(center, list):
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center = numpy.asanyarray(center)
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half_width = subbox_size / 2.
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indxs, start_index, end_index = [], 0, len(pos)
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while True:
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i = find_next_particle(start_index, end_index, pos,
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*center, half_width, boxsize)
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if i is None:
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break
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indxs.append(i)
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start_index = i + 1
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return indxs
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