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
This commit is contained in:
Richard Stiskalek 2023-12-19 13:08:09 +01:00 committed by GitHub
parent eb1797e8a9
commit 7dfc7514d2
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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,
periodic_distance, periodic_distance_two_points, # noqa periodic_distance, periodic_distance_two_points, # noqa
binned_statistic, cosine_similarity, fprint, # noqa binned_statistic, cosine_similarity, fprint, # noqa
hms_to_degrees, dms_to_degrees, great_circle_distance) # noqa hms_to_degrees, dms_to_degrees, great_circle_distance) # noqa
from .params import paths_glamdring, simname2boxsize # noqa
# Arguments to csiborgtools.read.Paths.
paths_glamdring = {
"csiborg1_srcdir": "/mnt/extraspace/rstiskalek/csiborg1",
"csiborg2_main_srcdir": "/mnt/extraspace/rstiskalek/csiborg2_main",
"csiborg2_varysmall_srcdir": "/mnt/extraspace/rstiskalek/csiborg2_varysmall", # noqa
"csiborg2_random_srcdir": "/mnt/extraspace/rstiskalek/csiborg2_random", # noqa
"postdir": "/mnt/extraspace/rstiskalek/csiborg_postprocessing/",
"quijote_dir": "/mnt/extraspace/rstiskalek/quijote",
}
neighbour_kwargs = {"rmax_radial": 155 / 0.705,
"nbins_radial": 50,
"rmax_neighbour": 100.,
"nbins_neighbour": 150,
"paths_kind": paths_glamdring}
def simname2boxsize(simname):
"""
Return boxsize in `Mpc/h` for a given simname.
Parameters
----------
simname : str
Simulation name.
Returns
-------
boxsize : float
"""
d = {"csiborg1": 677.7,
"csiborg2_main": 676.6,
"csiborg2_varysmall": 676.6,
"csiborg2_random": 676.6,
"quijote": 1000.
}
boxsize = d.get(simname, None)
if boxsize is None:
raise ValueError("Unknown simname: {}".format(simname))
return boxsize
############################################################################### ###############################################################################

62
csiborgtools/params.py Normal file
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@ -0,0 +1,62 @@
# Copyright (C) 2023 Richard Stiskalek
# This program is free software; you can redistribute it and/or modify it
# under the terms of the GNU General Public License as published by the
# Free Software Foundation; either version 3 of the License, or (at your
# option) any later version.
#
# This program is distributed in the hope that it will be useful, but
# WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General
# Public License for more details.
#
# You should have received a copy of the GNU General Public License along
# with this program; if not, write to the Free Software Foundation, Inc.,
# 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA.
"""
Various user parameters for csiborgtools.
"""
def simname2boxsize(simname):
"""
Return boxsize in `Mpc/h` for a given simname.
Parameters
----------
simname : str
Simulation name.
Returns
-------
boxsize : float
"""
d = {"csiborg1": 677.7,
"csiborg2_main": 676.6,
"csiborg2_varysmall": 676.6,
"csiborg2_random": 676.6,
"quijote": 1000.
}
boxsize = d.get(simname, None)
if boxsize is None:
raise ValueError("Unknown simname: {}".format(simname))
return boxsize
paths_glamdring = {
"csiborg1_srcdir": "/mnt/extraspace/rstiskalek/csiborg1",
"csiborg2_main_srcdir": "/mnt/extraspace/rstiskalek/csiborg2_main",
"csiborg2_varysmall_srcdir": "/mnt/extraspace/rstiskalek/csiborg2_varysmall", # noqa
"csiborg2_random_srcdir": "/mnt/extraspace/rstiskalek/csiborg2_random", # noqa
"postdir": "/mnt/extraspace/rstiskalek/csiborg_postprocessing/",
"quijote_dir": "/mnt/extraspace/rstiskalek/quijote",
}
# neighbour_kwargs = {"rmax_radial": 155 / 0.705,
# "nbins_radial": 50,
# "rmax_neighbour": 100.,
# "nbins_neighbour": 150,
# "paths_kind": paths_glamdring}

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@ -12,8 +12,7 @@
# You should have received a copy of the GNU General Public License along # You should have received a copy of the GNU General Public License along
# with this program; if not, write to the Free Software Foundation, Inc., # with this program; if not, write to the Free Software Foundation, Inc.,
# 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA. # 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA.
from .catalogue import (CSiBORGCatalogue, QuijoteCatalogue, # noqa from .catalogue import CSiBORG1Catalogue, CSiBORG2Catalogue, QuijoteCatalogue # noqa
fiducial_observers) # noqa
from .snapshot import (CSIBORG1Snapshot, CSIBORG2Snapshot, QuijoteSnapshot, # noqa from .snapshot import (CSIBORG1Snapshot, CSIBORG2Snapshot, QuijoteSnapshot, # noqa
CSiBORG1Field, CSiBORG2Field, QuijoteField) # noqa CSiBORG1Field, CSiBORG2Field, QuijoteField) # noqa
from .obs import (SDSS, MCXCClusters, PlanckClusters, TwoMPPGalaxies, # noqa from .obs import (SDSS, MCXCClusters, PlanckClusters, TwoMPPGalaxies, # noqa

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@ -18,10 +18,14 @@ should be implemented things such as flipping x- and z-axes, to make sure that
observed RA-dec can be mapped into the simulation box. observed RA-dec can be mapped into the simulation box.
""" """
from abc import ABC, abstractmethod, abstractproperty from abc import ABC, abstractmethod, abstractproperty
import numpy
import numpy
from h5py import File from h5py import File
from ..params import paths_glamdring, simname2boxsize
from .paths import Paths
from .util import find_boxed
############################################################################### ###############################################################################
# Base snapshot class # # Base snapshot class #
############################################################################### ###############################################################################
@ -65,6 +69,30 @@ class BaseSnapshot(ABC):
""" """
return self._nsnap return self._nsnap
@property
def simname(self):
"""
Simulation name.
Returns
-------
str
"""
if self._simname is None:
raise ValueError("Simulation name not set.")
return self._simname
@property
def boxsize(self):
"""
Simulation boxsize in `cMpc/h`.
Returns
-------
float
"""
return simname2boxsize(self.simname)
@property @property
def paths(self): def paths(self):
""" """
@ -74,6 +102,8 @@ class BaseSnapshot(ABC):
------- -------
Paths Paths
""" """
if self._paths is None:
self._paths = Paths(**paths_glamdring)
return self._paths return self._paths
@abstractproperty @abstractproperty
@ -191,6 +221,27 @@ class BaseSnapshot(ABC):
""" """
pass pass
def select_box(self, center, boxwidth):
"""
Find particle coordinates of particles within a box of size `boxwidth`
centered on `center`.
Parameters
----------
center : 1-dimensional array
Center of the box.
boxwidth : float
Width of the box.
Returns
-------
pos : 2-dimensional array
"""
pos = self.coordinates()
mask = find_boxed(pos, center, boxwidth, self.boxsize)
return pos[mask]
############################################################################### ###############################################################################
# CSiBORG1 snapshot class # # CSiBORG1 snapshot class #
@ -208,13 +259,14 @@ class CSIBORG1Snapshot(BaseSnapshot):
Simulation index. Simulation index.
nsnap : int nsnap : int
Snapshot index. Snapshot index.
paths : Paths paths : Paths, optional
Paths object. Paths object.
""" """
def __init__(self, nsim, nsnap, paths): def __init__(self, nsim, nsnap, paths=None):
super().__init__(nsim, nsnap, paths) super().__init__(nsim, nsnap, paths)
self._snapshot_path = self.paths.snapshot( self._snapshot_path = self.paths.snapshot(
self.nsnap, self.nsim, "csiborg1") self.nsnap, self.nsim, "csiborg1")
self._simname = "csiborg1"
def _get_particles(self, kind): def _get_particles(self, kind):
with File(self._snapshot_path, "r") as f: with File(self._snapshot_path, "r") as f:
@ -285,17 +337,18 @@ class CSIBORG2Snapshot(BaseSnapshot):
Simulation index. Simulation index.
nsnap : int nsnap : int
Snapshot index. Snapshot index.
paths : Paths
Paths object.
kind : str kind : str
CSiBORG2 run kind. One of `main`, `random`, or `varysmall`. CSiBORG2 run kind. One of `main`, `random`, or `varysmall`.
paths : Paths, optional
Paths object.
""" """
def __init__(self, nsim, nsnap, paths, kind): def __init__(self, nsim, nsnap, kind, paths=None):
super().__init__(nsim, nsnap, paths) super().__init__(nsim, nsnap, paths)
self.kind = kind self.kind = kind
self._snapshot_path = self.paths.snapshot( self._snapshot_path = self.paths.snapshot(
self.nsnap, self.nsim, f"csiborg2_{self.kind}") self.nsnap, self.nsim, f"csiborg2_{self.kind}")
self._simname = f"csiborg2_{self.kind}"
@property @property
def kind(self): def kind(self):
@ -426,13 +479,14 @@ class QuijoteSnapshot(CSIBORG1Snapshot):
Simulation index. Simulation index.
nsnap : int nsnap : int
Snapshot index. Snapshot index.
paths : Paths paths : Paths, optional
Paths object. Paths object.
""" """
def __init__(self, nsim, nsnap, paths): def __init__(self, nsim, nsnap, paths=None):
super().__init__(nsim, nsnap, paths) super().__init__(nsim, nsnap, paths)
self._snapshot_path = self.paths.snapshot(self.nsnap, self.nsim, self._snapshot_path = self.paths.snapshot(self.nsnap, self.nsim,
"quijote") "quijote")
self._simname = "quijote"
def _make_hid2offset(self): def _make_hid2offset(self):
catalogue_path = self.paths.snapshot_catalogue( catalogue_path = self.paths.snapshot_catalogue(

81
csiborgtools/read/util.py Normal file
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@ -0,0 +1,81 @@
# Copyright (C) 2022 Richard Stiskalek
# This program is free software; you can redistribute it and/or modify it
# under the terms of the GNU General Public License as published by the
# Free Software Foundation; either version 3 of the License, or (at your
# option) any later version.
#
# This program is distributed in the hope that it will be useful, but
# WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General
# Public License for more details.
#
# You should have received a copy of the GNU General Public License along
# with this program; if not, write to the Free Software Foundation, Inc.,
# 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA.
import numpy
from numba import jit
###############################################################################
# Select particles in a box utility functions #
###############################################################################
@jit(nopython=True, fastmath=True, boundscheck=False)
def pbc_distance(x1, x2, boxsize):
"""Calculate periodic distance between two points."""
delta = abs(x1 - x2)
return min(delta, boxsize - delta)
@jit(nopython=True, fastmath=True, boundscheck=False)
def find_next_particle(start_index, end_index, pos, x0, y0, z0,
half_width, boxsize):
"""
Find the next particle in a box of size `half_width` centered on `x0`,
`y0`, `z0`, where the periodic simulation box size is `boxsize`.
"""
for i in range(start_index, end_index):
x, y, z = pos[i]
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
return i
return None
def find_boxed(pos, center, subbox_size, boxsize):
"""
Find indices of `pos` in a box of size `subbox_size` centered on
`center`, where the simulation box size is `boxsize`.
Parameters
----------
pos : 2-dimensional array of shape (nsamples, 3)
Positions of all particles in the simulation.
center : 1-dimensional array
Center of the sub-box.
subbox_size : float
Size of the sub-box.
boxsize : float
Size of the simulation box.
Returns
-------
indxs : 1-dimensional array of shape
"""
if isinstance(center, list):
center = numpy.asanyarray(center)
half_width = subbox_size / 2.
indxs, start_index, end_index = [], 0, len(pos)
while True:
i = find_next_particle(start_index, end_index, pos,
*center, half_width, boxsize)
if i is None:
break
indxs.append(i)
start_index = i + 1
return indxs