mirror of
https://github.com/Richard-Sti/csiborgtools.git
synced 2024-12-22 22:58:02 +00:00
91beb4df50
* add ang mom * Update TODO * add ascii dump script * add comment * Updating TODO * add angmom * add garbage collector
130 lines
5 KiB
Python
130 lines
5 KiB
Python
# 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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"""
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A script to fit halos (concentration, ...). The particle array of each CSiBORG
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realisation must have been split in advance by `run_split_halos`.
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"""
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import numpy
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from datetime import datetime
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from os.path import join
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from mpi4py import MPI
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try:
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import csiborgtools
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except ModuleNotFoundError:
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import sys
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sys.path.append("../")
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import csiborgtools
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import utils
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F64 = numpy.float64
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I64 = numpy.int64
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# Get MPI things
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comm = MPI.COMM_WORLD
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rank = comm.Get_rank()
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nproc = comm.Get_size()
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dumpdir = utils.dumpdir
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loaddir = join(utils.dumpdir, "temp")
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cols_collect = [("npart", I64), ("totpartmass", F64), ("Rs", F64),
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("vx", F64), ("vy", F64), ("vz", F64),
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("Lx", F64), ("Ly", F64), ("Lz", F64),
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("rho0", F64), ("conc", F64), ("rmin", F64),
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("rmax", F64), ("r200", F64), ("r500", F64),
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("m200", F64), ("m500", F64), ("lambda200c", F64)]
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paths = csiborgtools.read.CSiBORGPaths()
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for i, n_sim in enumerate(paths.ic_ids):
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if rank == 0:
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print("{}: calculating {}th simulation.".format(datetime.now(), i))
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# Correctly set the paths!
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n_snap = paths.get_maximum_snapshot(n_sim)
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paths.set_info(n_sim, n_snap)
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box = csiborgtools.units.BoxUnits(paths)
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jobs = csiborgtools.fits.split_jobs(utils.Nsplits, nproc)[rank]
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for n_split in jobs:
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parts, part_clumps, clumps = csiborgtools.fits.load_split_particles(
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n_split, paths, remove_split=False)
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N = clumps.size
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cols = [("index", I64), ("npart", I64), ("totpartmass", F64),
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("Rs", F64), ("rho0", F64), ("conc", F64), ("lambda200c", F64),
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("vx", F64), ("vy", F64), ("vz", F64),
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("Lx", F64), ("Ly", F64), ("Lz", F64),
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("rmin", F64), ("rmax", F64),
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("r200", F64), ("r500", F64), ("m200", F64), ("m500", F64)]
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out = csiborgtools.utils.cols_to_structured(N, cols)
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out["index"] = clumps["index"]
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for n in range(N):
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# Pick clump and its particles
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xs = csiborgtools.fits.pick_single_clump(n, parts, part_clumps,
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clumps)
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clump = csiborgtools.fits.Clump.from_arrays(
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*xs, rhoc=box.box_rhoc, G=box.box_G)
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out["npart"][n] = clump.Npart
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out["rmin"][n] = clump.rmin
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out["rmax"][n] = clump.rmax
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out["totpartmass"][n] = clump.total_particle_mass
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out["vx"][n] = numpy.average(clump.vel[:, 0], weights=clump.m)
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out["vy"][n] = numpy.average(clump.vel[:, 1], weights=clump.m)
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out["vz"][n] = numpy.average(clump.vel[:, 2], weights=clump.m)
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out["Lx"][n], out["Ly"][n], out["Lz"][n] = clump.angular_momentum
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# Spherical overdensity radii and masses
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rs, ms = clump.spherical_overdensity_mass([200, 500])
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out["r200"][n] = rs[0]
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out["r500"][n] = rs[1]
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out["m200"][n] = ms[0]
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out["m500"][n] = ms[1]
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out["lambda200c"][n] = clump.lambda200c
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# NFW profile fit
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if clump.Npart > 10 and numpy.isfinite(out["r200"][n]):
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nfwpost = csiborgtools.fits.NFWPosterior(clump)
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logRs, __ = nfwpost.maxpost_logRs()
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Rs = 10**logRs
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if not numpy.isnan(logRs):
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out["Rs"][n] = Rs
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out["rho0"][n] = nfwpost.rho0_from_Rs(Rs)
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out["conc"][n] = out["r200"][n] / Rs
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csiborgtools.read.dump_split(out, n_split, paths)
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# Wait until all jobs finished before moving to another simulation
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comm.Barrier()
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# Use the rank 0 to combine outputs for this CSiBORG realisation
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if rank == 0:
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print("Collecting results!")
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partreader = csiborgtools.read.ParticleReader(paths)
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out_collected = csiborgtools.read.combine_splits(
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utils.Nsplits, partreader, cols_collect, remove_splits=True,
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verbose=False)
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fname = join(paths.dumpdir, "ramses_out_{}_{}.npy"
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.format(str(paths.n_sim).zfill(5),
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str(paths.n_snap).zfill(5)))
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print("Saving results to `{}`.".format(fname))
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numpy.save(fname, out_collected)
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comm.Barrier()
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if rank == 0:
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print("All finished! See ya!")
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