Evaluate LOS distances (#113)

* Add field_los

* fix typo

* add fix bug

* bug fixes

* Add docs

* Add more docs
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Richard Stiskalek 2024-02-27 12:40:52 +00:00 committed by GitHub
parent fc51f75e16
commit 66d9f46919
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3 changed files with 289 additions and 1 deletions

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@ -163,7 +163,7 @@ def evaluate_los(*fields, sky_pos, boxsize, rmax, dr, smooth_scales=None,
raise ValueError("`sky_pos` must be a 2D array.") raise ValueError("`sky_pos` must be a 2D array.")
nsamples = len(sky_pos) nsamples = len(sky_pos)
if rmax > 3**0.5 / 2 * boxsize: if rmax > 0.5 * boxsize:
raise ValueError("The maximum radius must be within the box.") raise ValueError("The maximum radius must be within the box.")
# Radial positions to evaluate for each line of sight. # Radial positions to evaluate for each line of sight.
@ -194,6 +194,8 @@ def evaluate_los(*fields, sky_pos, boxsize, rmax, dr, smooth_scales=None,
field_interp = evaluate_cartesian(*fields, pos=pos, field_interp = evaluate_cartesian(*fields, pos=pos,
smooth_scales=smooth_scales, smooth_scales=smooth_scales,
verbose=verbose) verbose=verbose)
if len(fields) == 1:
field_interp = [field_interp]
# Now we reshape the interpolated field to have the same shape as the # Now we reshape the interpolated field to have the same shape as the
# input `sky_pos`. # input `sky_pos`.

261
scripts/field_los.py Normal file
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@ -0,0 +1,261 @@
# Copyright (C) 2024 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.
"""
MPI script to interpolate the density and velocity fields along the line of
sight.
"""
from argparse import ArgumentParser
from datetime import datetime
from gc import collect
from os import makedirs, remove, rmdir
from os.path import exists, isdir, join
import csiborgtools
import numpy as np
from h5py import File
from mpi4py import MPI
from taskmaster import work_delegation
from utils import get_nsims
###############################################################################
# I/O functions #
###############################################################################
def get_los(catalogue_name, comm):
"""
Get the line of sight RA/dec coordinates for the given catalogue.
Parameters
----------
catalogue_name : str
Catalogue name.
Returns
-------
pos : 2-dimensional array
RA/dec coordinates of the line of sight.
"""
if comm.Get_rank() == 0:
pv_supranta_folder = "/mnt/extraspace/rstiskalek/catalogs/PV_Supranta"
if catalogue_name == "A2":
with File(join(pv_supranta_folder, "A2.h5"), 'r') as f:
RA = f["RA"][:]
dec = f["DEC"][:]
else:
raise ValueError(f"Unknown field name: `{catalogue_name}`.")
pos = np.vstack((RA, dec)).T
else:
pos = None
return comm.bcast(pos, root=0)
def get_field(simname, nsim, kind, MAS, grid):
"""
Get the field from the simulation.
Parameters
----------
simname : str
Simulation name.
nsim : int
IC realisation index.
kind : str
Field kind. Either `density` or `velocity`.
MAS : str
Mass assignment scheme.
grid : int
Grid resolution.
Returns
-------
field : n-dimensional array
"""
# Open the field reader.
if simname == "csiborg1":
field_reader = csiborgtools.read.CSiBORG1Field(nsim)
else:
raise ValueError(f"Unknown simulation name: `{simname}`.")
# Read in the field.
if kind == "density":
field = field_reader.density_field(MAS, grid)
elif kind == "velocity":
field = field_reader.velocity_field(MAS, grid)
else:
raise ValueError(f"Unknown field kind: `{kind}`.")
return field
def combine_from_simulations(catalogue_name, simname, nsims, outfolder,
dumpfolder):
"""
Combine the results from individual simulations into a single file.
Parameters
----------
catalogue_name : str
Catalogue name.
simname : str
Simulation name.
nsims : list
List of IC realisations.
outfolder : str
Output folder.
dumpfolder : str
Dumping folder where the temporary files are stored.
Returns
-------
None
"""
fname_out = join(outfolder, f"los_{catalogue_name}_{simname}.hdf5")
print(f"Combining results from invidivual simulations to `{fname_out}`.")
if exists(fname_out):
remove(fname_out)
for nsim in nsims:
fname = join(dumpfolder, f"los_{simname}_{nsim}.hdf5")
with File(fname, 'r') as f, File(fname_out, 'a') as f_out:
f_out.create_dataset(f"rdist_{nsim}", data=f["rdist"][:])
f_out.create_dataset(f"density_{nsim}", data=f["density"][:])
f_out.create_dataset(f"velocity_{nsim}", data=f["velocity"][:])
# Remove the temporary file.
remove(fname)
# Remove the dumping folder.
rmdir(dumpfolder)
print("Finished combining results.")
###############################################################################
# Main interpolating function #
###############################################################################
def interpolate_field(pos, simname, nsim, MAS, grid, dump_folder, rmax,
dr, smooth_scales):
"""
Interpolate the density and velocity fields along the line of sight.
Parameters
----------
pos : 2-dimensional array
RA/dec coordinates of the line of sight.
simname : str
Simulation name.
nsim : int
IC realisation index.
MAS : str
Mass assignment scheme.
grid : int
Grid resolution.
dump_folder : str
Folder where the temporary files are stored.
rmax : float
Maximum distance along the line of sight.
dr : float
Distance spacing along the line of sight.
smooth_scales : list
Smoothing scales.
Returns
-------
None
"""
boxsize = csiborgtools.simname2boxsize(simname)
fname_out = join(dump_folder, f"los_{simname}_{nsim}.hdf5")
# First do the density field.
density = get_field(simname, nsim, "density", MAS, grid)
rdist, finterp = csiborgtools.field.evaluate_los(
density, sky_pos=pos, boxsize=boxsize, rmax=rmax, dr=dr,
smooth_scales=smooth_scales, verbose=False)
print(f"Writing temporary file `{fname_out}`.")
with File(fname_out, 'w') as f:
f.create_dataset("rdist", data=rdist)
f.create_dataset("density", data=finterp)
del density, rdist, finterp
collect()
velocity = get_field(simname, nsim, "velocity", MAS, grid)
rdist, finterp = csiborgtools.field.evaluate_los(
velocity[0], velocity[1], velocity[2],
sky_pos=pos, boxsize=boxsize, rmax=rmax, dr=dr,
smooth_scales=smooth_scales, verbose=False)
with File(fname_out, 'a') as f:
f.create_dataset("velocity", data=finterp)
###############################################################################
# Command line interface #
###############################################################################
if __name__ == "__main__":
parser = ArgumentParser()
parser.add_argument("--catalogue", type=str, help="Catalogue name.")
parser.add_argument("--nsims", type=int, nargs="+", default=None,
help="IC realisations. `-1` for all simulations.")
parser.add_argument("--simname", type=str, help="Simulation name.")
parser.add_argument("--MAS", type=str,
choices=["NGP", "CIC", "TSC", "PCS", "SPH"],
help="Mass assignment scheme.")
parser.add_argument("--grid", type=int, help="Grid resolution.")
args = parser.parse_args()
out_folder = "/mnt/extraspace/rstiskalek/csiborg_postprocessing/field_los"
dump_folder = join(out_folder,
f"temp_{str(datetime.now())}".replace(" ", "_"))
rmax = 200
dr = 0.1
smooth_scales = None
comm = MPI.COMM_WORLD
paths = csiborgtools.read.Paths(**csiborgtools.paths_glamdring)
nsims = get_nsims(args, paths)
# Create the dumping folder.
if comm.Get_rank() == 0 and not isdir(dump_folder):
print(f"Creating folder `{dump_folder}`.")
makedirs(dump_folder)
# Get the line of sight RA/dec coordinates.
pos = get_los(args.catalogue, comm)
def main(nsim):
interpolate_field(pos, args.simname, nsim, args.MAS, args.grid,
dump_folder, rmax, dr, smooth_scales)
work_delegation(main, nsims, comm, master_verbose=True)
comm.Barrier()
if comm.Get_rank() == 0:
combine_from_simulations(args.catalogue, args.simname, nsims,
out_folder, dump_folder)
print("All finished!")

25
scripts/field_los.sh Executable file
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@ -0,0 +1,25 @@
nthreads=1
memory=64
on_login=${1}
queue="berg"
env="/mnt/users/rstiskalek/csiborgtools/venv_csiborg/bin/python"
file="field_los.py"
catalogue="A2"
nsims="7444"
simname="csiborg1"
MAS="SPH"
grid=1024
pythoncm="$env $file --catalogue $catalogue --nsims $nsims --simname $simname --MAS $MAS --grid $grid"
if [ $on_login -eq 1 ]; then
echo $pythoncm
$pythoncm
else
cm="addqueue -q $queue -n $nthreads -m $memory $pythoncm"
echo "Submitting:"
echo $cm
echo
eval $cm
fi