mirror of
https://github.com/Richard-Sti/csiborgtools.git
synced 2024-10-19 02:45:06 +02:00
fdb0df8d4c
* Move paths to a separate file * Add mmain reader * Add a verbosity flag * Fix imports * Fix bug * Rename files * Return ultimate parents * Add script to generate mmain * Remove mmain path * edit path * Add mmain path * Change function name * Rename function * Turn off verbose * Fix list requirement * Edit init match paths * Fix init pathing * Edit paths docs * Edit dumpdir name * Rename path * Fix split paths * Remove unused import * Add comment * Update readme * remove read mmain * Rename haloatalogue * Fix minor bugs * Update nbs * Add create directory option * Move split jobs * Move spliot jobs * Remove splitting * Add import * Edit script * Deeper split folder * Fix paths bug * Rename catalogue * Rename Catalogue * Add new clumpread * Edit paths * add knn paths * Update commenting * Update imports * Add more conversions * Update temp file * Add a note * Add catalogue * Cooment * Update TODO * Update script * add nb * Update * pep8 * edit paths & pep8 * Fix knn auto paths * add paths docs * Add auto and cross knn paths * Add new paths * Simplify tpcf reading * pep8 patch * update readme * Update progress * pep8 * pep8 * pep8 * pep8 * pep8 * pep8 * pep8 * pep8 * pep8 * pep8 * pep8 * pep8 * pep8 * pep8 * pep8 * Pep 8 and restructure * add lambda spin * add clump and halo * add checks * Edit halo profile fit * Update gitignore * backup script
162 lines
6.5 KiB
Python
162 lines
6.5 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 `runsplit_halos`.
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"""
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from datetime import datetime
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import numpy
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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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# 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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paths = csiborgtools.read.CSiBORGPaths(**csiborgtools.paths_glamdring)
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partreader =csiborgtools.read.ParticleReader(paths)
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cols_collect = [("npart", numpy.int64), ("totpartmass", numpy.float64),
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("Rs", numpy.float64), ("vx", numpy.float64),
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("vy", numpy.float64), ("vz", numpy.float64),
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("Lx", numpy.float64), ("Ly", numpy.float64),
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("Lz", numpy.float64), ("rho0", numpy.float64),
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("conc", numpy.float64), ("rmin", numpy.float64),
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("rmax", numpy.float64), ("r200", numpy.float64),
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("r500", numpy.float64), ("m200", numpy.float64),
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("m500", numpy.float64), ("lambda200c", numpy.float64)]
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def fit_clump(particles, clump, box):
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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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for i, nsim in enumerate(paths.get_ics(tonew=False)):
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if rank == 0:
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print("{}: calculating {}th simulation `{}`."
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.format(datetime.now(), i, nsim), flush=True)
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nsnap = max(paths.get_snapshots(nsim))
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box = csiborgtools.read.BoxUnits(nsnap, nsim, paths)
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# Archive of clumps, keywords are their clump IDs
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particle_archive = paths.split_path(nsnap, nsim)
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clumpsarr = partreader.read_clumps(nsnap, nsim,
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cols=["index", 'x', 'y', 'z'])
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clumpid2arrpos = {ind: ii for ii, ind in enumerate(clumpsarr["index"])}
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nclumps = len(particle_archive.files)
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# Fit 5000 clumps at a time, then dump results
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batchsize = 5000
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# This rank does these `batchsize` clumps/halos
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jobs = csiborgtools.utils.split_jobs(nclumps, nclumps // batchsize)[rank]
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for clumpid in jobs:
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... = fit_clump(particle_archive[str(clumpid)], clumpsarr[clumpid2arrpos[clumpid]])
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jobs = csiborgtools.utils.split_jobs(nclumps, nproc)[rank]
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for nsplit in jobs:
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parts, part_clumps, clumps = csiborgtools.fits.load_split_particles(
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nsplit, nsnap, nsim, paths, remove_split=False)
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N = clumps.size
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cols = [("index", numpy.int64), ("npart", numpy.int64),
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("totpartmass", numpy.float64), ("Rs", numpy.float64),
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("rho0", numpy.float64), ("conc", numpy.float64),
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("lambda200c", numpy.float64), ("vx", numpy.float64),
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("vy", numpy.float64), ("vz", numpy.float64),
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("Lx", numpy.float64), ("Ly", numpy.float64),
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("Lz", numpy.float64), ("rmin", numpy.float64),
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("rmax", numpy.float64), ("r200", numpy.float64),
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("r500", numpy.float64), ("m200", numpy.float64),
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("m500", numpy.float64)]
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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, nsplit, nsnap, nsim, 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, nsnap, nsim, partreader, cols_collect,
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# remove_splits=True, verbose=False)
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# fname = paths.hcat_path(nsim)
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# print("Saving results to `{}`.".format(fname))
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# numpy.save(fname, out_collected)
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#
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# comm.Barrier()
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#
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# if rank == 0:
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# print("All finished! See ya!") |