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
binned_statistic, cosine_similarity, fprint, # noqa
hms_to_degrees, dms_to_degrees, great_circle_distance) # 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
from .params import paths_glamdring, simname2boxsize # noqa
###############################################################################

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
# with this program; if not, write to the Free Software Foundation, Inc.,
# 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA.
from .catalogue import (CSiBORGCatalogue, QuijoteCatalogue, # noqa
fiducial_observers) # noqa
from .catalogue import CSiBORG1Catalogue, CSiBORG2Catalogue, QuijoteCatalogue # noqa
from .snapshot import (CSIBORG1Snapshot, CSIBORG2Snapshot, QuijoteSnapshot, # noqa
CSiBORG1Field, CSiBORG2Field, QuijoteField) # noqa
from .obs import (SDSS, MCXCClusters, PlanckClusters, TwoMPPGalaxies, # noqa

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
observed RA-dec can be mapped into the simulation box.
"""
from abc import ABC, abstractmethod, abstractproperty
import numpy
import numpy
from h5py import File
from ..params import paths_glamdring, simname2boxsize
from .paths import Paths
from .util import find_boxed
###############################################################################
# Base snapshot class #
###############################################################################
@ -65,6 +69,30 @@ class BaseSnapshot(ABC):
"""
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
def paths(self):
"""
@ -74,6 +102,8 @@ class BaseSnapshot(ABC):
-------
Paths
"""
if self._paths is None:
self._paths = Paths(**paths_glamdring)
return self._paths
@abstractproperty
@ -191,6 +221,27 @@ class BaseSnapshot(ABC):
"""
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 #
@ -208,13 +259,14 @@ class CSIBORG1Snapshot(BaseSnapshot):
Simulation index.
nsnap : int
Snapshot index.
paths : Paths
paths : Paths, optional
Paths object.
"""
def __init__(self, nsim, nsnap, paths):
def __init__(self, nsim, nsnap, paths=None):
super().__init__(nsim, nsnap, paths)
self._snapshot_path = self.paths.snapshot(
self.nsnap, self.nsim, "csiborg1")
self._simname = "csiborg1"
def _get_particles(self, kind):
with File(self._snapshot_path, "r") as f:
@ -285,17 +337,18 @@ class CSIBORG2Snapshot(BaseSnapshot):
Simulation index.
nsnap : int
Snapshot index.
paths : Paths
Paths object.
kind : str
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)
self.kind = kind
self._snapshot_path = self.paths.snapshot(
self.nsnap, self.nsim, f"csiborg2_{self.kind}")
self._simname = f"csiborg2_{self.kind}"
@property
def kind(self):
@ -426,13 +479,14 @@ class QuijoteSnapshot(CSIBORG1Snapshot):
Simulation index.
nsnap : int
Snapshot index.
paths : Paths
paths : Paths, optional
Paths object.
"""
def __init__(self, nsim, nsnap, paths):
def __init__(self, nsim, nsnap, paths=None):
super().__init__(nsim, nsnap, paths)
self._snapshot_path = self.paths.snapshot(self.nsnap, self.nsim,
"quijote")
self._simname = "quijote"
def _make_hid2offset(self):
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