mirror of
https://github.com/Richard-Sti/csiborgtools.git
synced 2024-12-23 08:58:01 +00:00
93 lines
3.1 KiB
Python
93 lines
3.1 KiB
Python
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# 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 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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# Simulations and their snapshot to analyze
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Nsims = [9844]
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Nsnap = 1016
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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), ("logRs", F64),
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("rho0", F64)]
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# NOTE later loop over sims too
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Nsim = Nsims[0]
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jobs = csiborgtools.fits.split_jobs(utils.Nsplits, nproc)[rank]
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for Nsplit in jobs:
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print("Rank {} working on {}.".format(rank, Nsplit))
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parts, part_clumps, clumps = csiborgtools.fits.load_split_particles(
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Nsplit, loaddir, Nsim, Nsnap, 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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("logRs", F64), ("rho0", 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, clumps)
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clump = csiborgtools.fits.Clump.from_arrays(*xs)
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out["npart"][n] = clump.Npart
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out["totpartmass"][n] = clump.total_particle_mass
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# NFW profile fit
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if clump.Npart > 10:
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nfwpost = csiborgtools.fits.NFWPosterior(clump)
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logRs = nfwpost.maxpost_logRs()
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if logRs.success:
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out["logRs"][n] = logRs.x
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out["rho0"][n] = nfwpost.rho0_from_logRs(logRs.x)
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csiborgtools.io.dump_split(out, Nsplit, Nsim, Nsnap, dumpdir)
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# Force all ranks to wait
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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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out_collected = csiborgtools.io.combine_splits(
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utils.Nsplits, Nsim, Nsnap, utils.dumpdir, cols_collect,
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remove_splits=True, verbose=False)
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fname = join(utils.dumpdir, "ramses_out_{}_{}.npy"
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.format(str(Nsim).zfill(5), str(Nsnap).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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print("All finished! See ya!")
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