mirror of
https://github.com/Richard-Sti/csiborgtools.git
synced 2024-12-22 20:08:01 +00:00
eb1797e8a9
* Get rid of utils * Clean up imports * Move some utils here * Rename file * Add simname to boxsize * Add imports * Delete old files * Update README * Update imports * Add a new draft of the density calculator * Update fields * Draft of new density field calculatiosn * Add snapshot * Add boxsizes * Little updates * Bring back utils * Edit docstrings * Edits imports * Add progress on snapshots * edit improts * add basic snapshot catalogue * Add support for CSiBORG2 snapshot reader * add paths to fofcat for csiborg2 * Add more imports * Add more boxsize * Add more imports * Add field readers * Simplify field paths * Fix typo * Add observer vp * Clean up density field calculation * Add a short note * Edit args * Remove old comments * Edit docs * Remove blank line * Stop flipping RAMSES * Remove comment * Edit desc * Remove normalization * Remove old dist array * Remove non-volume weighting * Remove non-volume weight * Add ignore of flake8 notebooks * Fix path typo * Fix units * Edit paths docs * Update nb
297 lines
12 KiB
Python
297 lines
12 KiB
Python
# 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.
|
|
"""MPI script to calculate the various fields."""
|
|
from argparse import ArgumentParser
|
|
from datetime import datetime
|
|
|
|
import numpy
|
|
from mpi4py import MPI
|
|
from taskmaster import work_delegation
|
|
|
|
import csiborgtools
|
|
from utils import get_nsims
|
|
|
|
|
|
###############################################################################
|
|
# Density field #
|
|
###############################################################################
|
|
|
|
|
|
def density_field(nsim, parser_args):
|
|
"""Calculate the density field."""
|
|
if parser_args.MAS == "SPH":
|
|
raise NotImplementedError("SPH is not implemented here. Use cosmotool")
|
|
|
|
paths = csiborgtools.read.Paths(**csiborgtools.paths_glamdring)
|
|
nsnap = max(paths.get_snapshots(nsim, parser_args.simname))
|
|
|
|
# Read in the particle coordinates and masses
|
|
if parser_args.simname == "csiborg1":
|
|
snapshot = csiborgtools.read.CSIBORG1Snapshot(nsim, nsnap, paths)
|
|
elif "csiborg2" in parser_args.simname:
|
|
kind = parser_args.simname.split("_")[-1]
|
|
snapshot = csiborgtools.read.CSIBORG2Snapshot(nsim, nsnap, paths, kind)
|
|
elif parser_args.simname == "quijote":
|
|
snapshot = csiborgtools.read.QuijoteSnapshot(nsim, nsnap, paths)
|
|
else:
|
|
raise RuntimeError(f"Unknown simulation name `{parser_args.simname}`.")
|
|
|
|
pos = snapshot.coordinates()
|
|
mass = snapshot.masses()
|
|
|
|
# Run the field generator
|
|
boxsize = csiborgtools.simname2boxsize(parser_args.simname)
|
|
gen = csiborgtools.field.DensityField(boxsize, parser_args.MAS)
|
|
field = gen(pos, mass, parser_args.grid)
|
|
|
|
fout = paths.field("density", parser_args.MAS, parser_args.grid,
|
|
nsim, parser_args.simname)
|
|
|
|
print(f"{datetime.now()}: saving output to `{fout}`.")
|
|
numpy.save(fout, field)
|
|
return field
|
|
|
|
|
|
###############################################################################
|
|
# Velocity field #
|
|
###############################################################################
|
|
|
|
|
|
def velocity_field(nsim, parser_args):
|
|
"""Calculate the velocity field."""
|
|
if parser_args.MAS == "SPH":
|
|
raise NotImplementedError("SPH is not implemented here. Use cosmotool")
|
|
|
|
paths = csiborgtools.read.Paths(**csiborgtools.paths_glamdring)
|
|
nsnap = max(paths.get_snapshots(nsim, parser_args.simname))
|
|
|
|
if parser_args.simname == "csiborg1":
|
|
snapshot = csiborgtools.read.CSIBORG1Snapshot(nsim, nsnap, paths)
|
|
elif "csiborg2" in parser_args.simname:
|
|
kind = parser_args.simname.split("_")[-1]
|
|
snapshot = csiborgtools.read.CSIBORG2Snapshot(nsim, nsnap, paths, kind)
|
|
elif parser_args.simname == "quijote":
|
|
snapshot = csiborgtools.read.QuijoteSnapshot(nsim, nsnap, paths)
|
|
else:
|
|
raise RuntimeError(f"Unknown simulation name `{parser_args.simname}`.")
|
|
|
|
pos = snapshot.coordinates()
|
|
vel = snapshot.velocities()
|
|
mass = snapshot.masses()
|
|
|
|
boxsize = csiborgtools.simname2boxsize(parser_args.simname)
|
|
gen = csiborgtools.field.VelocityField(boxsize, parser_args.MAS)
|
|
field = gen(pos, vel, mass, parser_args.grid)
|
|
|
|
fout = paths.field("velocity", parser_args.MAS, parser_args.grid,
|
|
nsim, parser_args.simname)
|
|
print(f"{datetime.now()}: saving output to `{fout}`.")
|
|
numpy.save(fout, field)
|
|
return field
|
|
|
|
|
|
###############################################################################
|
|
# Radial velocity field #
|
|
###############################################################################
|
|
|
|
|
|
def radvel_field(nsim, parser_args):
|
|
"""Calculate the radial velocity field."""
|
|
paths = csiborgtools.read.Paths(**csiborgtools.paths_glamdring)
|
|
|
|
if parser_args.simname == "csiborg1":
|
|
field = csiborgtools.read.CSiBORG1Field(nsim, paths)
|
|
elif "csiborg2" in parser_args.simname:
|
|
kind = parser_args.simname.split("_")[-1]
|
|
field = csiborgtools.read.CSiBORG2Field(nsim, paths, kind)
|
|
elif parser_args.simname == "quijote":
|
|
field = csiborgtools.read.QuijoteField(nsim, paths)
|
|
else:
|
|
raise RuntimeError(f"Unknown simulation name `{parser_args.simname}`.")
|
|
|
|
vel = field.velocity_field(parser_args.MAS, parser_args.grid)
|
|
|
|
observer_velocity = csiborgtools.field.observer_peculiar_velocity(vel)
|
|
radvel = csiborgtools.field.radial_velocity(vel, observer_velocity)
|
|
|
|
fout = paths.field("radvel", parser_args.MAS, parser_args.grid,
|
|
nsim, parser_args.simname)
|
|
print(f"{datetime.now()}: saving output to `{fout}`.")
|
|
numpy.save(fout, radvel)
|
|
return field
|
|
|
|
|
|
def observer_peculiar_velocity(nsim, parser_args):
|
|
"""
|
|
Calculate the peculiar velocity of an observer in the centre of the box
|
|
for several smoothing scales.
|
|
"""
|
|
boxsize = csiborgtools.simname2boxsize(parser_args.simname)
|
|
# NOTE thevse values are hard-coded.
|
|
smooth_scales = numpy.array([0, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0])
|
|
smooth_scales /= boxsize
|
|
|
|
if parser_args.simname == "csiborg1":
|
|
field = csiborgtools.read.CSiBORG1Field(nsim, paths)
|
|
elif "csiborg2" in parser_args.simname:
|
|
kind = parser_args.simname.split("_")[-1]
|
|
field = csiborgtools.read.CSiBORG2Field(nsim, paths, kind)
|
|
elif parser_args.simname == "quijote":
|
|
field = csiborgtools.read.QuijoteField(nsim, paths)
|
|
else:
|
|
raise RuntimeError(f"Unknown simulation name `{parser_args.simname}`.")
|
|
|
|
vel = field.velocity_field(parser_args.MAS, parser_args.grid)
|
|
|
|
observer_vp = csiborgtools.field.observer_peculiar_velocity(
|
|
vel, smooth_scales)
|
|
|
|
fout = paths.observer_peculiar_velocity(parser_args.MAS, parser_args.grid,
|
|
nsim, parser_args.simname)
|
|
print(f"Saving to ... `{fout}`")
|
|
numpy.savez(fout, smooth_scales=smooth_scales, observer_vp=observer_vp)
|
|
return observer_vp
|
|
|
|
|
|
###############################################################################
|
|
# Command line interface #
|
|
###############################################################################
|
|
|
|
|
|
if __name__ == "__main__":
|
|
parser = ArgumentParser()
|
|
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("--kind", type=str,
|
|
choices=["density", "velocity", "radvel", "observer_vp"], # noqa
|
|
help="What derived field to calculate?")
|
|
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.")
|
|
parser_args = parser.parse_args()
|
|
|
|
comm = MPI.COMM_WORLD
|
|
paths = csiborgtools.read.Paths(**csiborgtools.paths_glamdring)
|
|
nsims = get_nsims(parser_args, paths)
|
|
|
|
def main(nsim):
|
|
if parser_args.kind == "density":
|
|
density_field(nsim, parser_args)
|
|
elif parser_args.kind == "velocity":
|
|
velocity_field(nsim, parser_args)
|
|
elif parser_args.kind == "radvel":
|
|
radvel_field(nsim, parser_args)
|
|
elif parser_args.kind == "observer_vp":
|
|
observer_peculiar_velocity(nsim, parser_args)
|
|
else:
|
|
raise RuntimeError(f"Field {parser_args.kind} is not implemented.")
|
|
|
|
work_delegation(main, nsims, comm, master_verbose=True)
|
|
|
|
|
|
# def potential_field(nsim, parser_args, to_save=True):
|
|
# """
|
|
# Calculate the potential field in the CSiBORG simulation.
|
|
# """
|
|
# paths = csiborgtools.read.Paths(**csiborgtools.paths_glamdring)
|
|
# nsnap = max(paths.get_snapshots(nsim, "csiborg"))
|
|
# box = csiborgtools.read.CSiBORG1Box(nsnap, nsim, paths)
|
|
#
|
|
# if not parser_args.in_rsp:
|
|
# rho = numpy.load(paths.field(
|
|
# "density", parser_args.MAS, parser_args.grid, nsim,
|
|
# in_rsp=False))
|
|
# density_gen = csiborgtools.field.DensityField(box, parser_args.MAS)
|
|
# rho = density_gen.overdensity_field(rho)
|
|
#
|
|
# gen = csiborgtools.field.PotentialField(box, parser_args.MAS)
|
|
# field = gen(rho)
|
|
# else:
|
|
# field = numpy.load(paths.field(
|
|
# "potential", parser_args.MAS, parser_args.grid, nsim, False))
|
|
# radvel_field = numpy.load(paths.field(
|
|
# "radvel", parser_args.MAS, parser_args.grid, nsim, False))
|
|
#
|
|
# field = csiborgtools.field.field2rsp(field, radvel_field, box,
|
|
# parser_args.MAS)
|
|
#
|
|
# if to_save:
|
|
# fout = paths.field(parser_args.kind, parser_args.MAS,
|
|
# parser_args.grid,
|
|
# nsim, parser_args.in_rsp)
|
|
# print(f"{datetime.now()}: saving output to `{fout}`.")
|
|
# numpy.save(fout, field)
|
|
# return field
|
|
#
|
|
#
|
|
# #############################################################################
|
|
# # Environment classification #
|
|
# #############################################################################
|
|
#
|
|
#
|
|
# def environment_field(nsim, parser_args, to_save=True):
|
|
# """
|
|
# Calculate the environmental classification in the CSiBORG simulation.
|
|
# """
|
|
# paths = csiborgtools.read.Paths(**csiborgtools.paths_glamdring)
|
|
# nsnap = max(paths.get_snapshots(nsim, "csiborg"))
|
|
# box = csiborgtools.read.CSiBORG1Box(nsnap, nsim, paths)
|
|
#
|
|
# rho = numpy.load(paths.field(
|
|
# "density", parser_args.MAS, parser_args.grid, nsim, in_rsp=False))
|
|
# density_gen = csiborgtools.field.DensityField(box, parser_args.MAS)
|
|
# rho = density_gen.overdensity_field(rho)
|
|
#
|
|
# if parser_args.smooth_scale > 0.0:
|
|
# rho = csiborgtools.field.smoothen_field(
|
|
# rho, parser_args.smooth_scale, box.box2mpc(1.))
|
|
#
|
|
# gen = csiborgtools.field.TidalTensorField(box, parser_args.MAS)
|
|
# field = gen(rho)
|
|
#
|
|
# del rho
|
|
# collect()
|
|
#
|
|
# if parser_args.in_rsp:
|
|
# radvel_field = numpy.load(paths.field(
|
|
# "radvel", parser_args.MAS, parser_args.grid, nsim, False))
|
|
# args = (radvel_field, box, parser_args.MAS)
|
|
#
|
|
# field.T00 = csiborgtools.field.field2rsp(field.T00, *args)
|
|
# field.T11 = csiborgtools.field.field2rsp(field.T11, *args)
|
|
# field.T22 = csiborgtools.field.field2rsp(field.T22, *args)
|
|
# field.T01 = csiborgtools.field.field2rsp(field.T01, *args)
|
|
# field.T02 = csiborgtools.field.field2rsp(field.T02, *args)
|
|
# field.T12 = csiborgtools.field.field2rsp(field.T12, *args)
|
|
#
|
|
# del radvel_field
|
|
# collect()
|
|
#
|
|
# eigvals = gen.tensor_field_eigvals(field)
|
|
#
|
|
# del field
|
|
# collect()
|
|
#
|
|
# env = gen.eigvals_to_environment(eigvals)
|
|
#
|
|
# if to_save:
|
|
# fout = paths.field("environment", parser_args.MAS, parser_args.grid,
|
|
# nsim, parser_args.in_rsp,
|
|
# parser_args.smooth_scale)
|
|
# print(f"{datetime.now()}: saving output to `{fout}`.")
|
|
# numpy.save(fout, env)
|
|
# return env
|