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Add pynbody and other support (#92)
* Simplify box units * Move old scripts * Add printing * Update readers * Disable boundscheck * Add new ordering * Clean up imports * Enforce dtype and add mass to quijote * Simplify print statements * Fix little typos * Fix key bug * Bug fixing * Delete boring comments * Improve ultimate clumps for PHEW * Delete boring comments * Add basic reading * Remove 0th index HID * Add flipping of X and Z * Updates to halo catalogues * Add ordered caching * Fix flipping * Add new flags * Fix PHEW empty clumps * Stop over-wrriting * Little improvements to angular neighbours * Add catalogue masking * Change if-else statements * Cache only filtered data * Add PHEW cats * Add comments * Sort imports * Get Quijote workign * Docs * Add HMF calculation * Move to old * Fix angular * Add great circle distance * Update imports * Update impotrts * Update docs * Remove unused import * Fix a quick bug * Update compatibility * Rename files * Renaming * Improve compatiblity * Rename snapsht * Fix snapshot bug * Update interface * Finish updating interface * Update all paths * Add old scripts * Add basic halo * Update imports * Improve snapshot processing * Update ordering * Fix how CM positions accessed * Add merger paths * Add imports * Add merger reading * Add making a merger tree * Add a basic merger tree reader * Add imports * Add main branch walking + comments + debuggin * Get tree running * Add working merger tree walking along main branch * Add units conversion for merger data * Add hid_to_array_index * Update merger tree * Add mergertree mass to PHEWcat * Edit comments * Add this to track changes... * Fix a little bug * Add mergertree mass * Add cache clearing * Improve summing substructure code * Littbe bug * Little updates to the merger tree reader * Update .giignore * Add box selection * Add optional deletingf of a group * add to keep track of changes * Update changes * Remove * Add manual tracker * Fix bug * Add m200c_to_r200c * Add manual halo tracking * Remove skipped snapshots * update cosmo params to match csiborg * remove old comments * Add SDSSxALFALFA * Fix bugs * Rename * Edit paths * Updates * Add comments * Add comment * Add hour conversion * Add imports * Add new observation class * Add selection * Add imports * Fix small bug * Add field copying for safety * Add matching to survey without masking * Add P(k) calculation * Add nb * Edit comment * Move files * Remove merger import * Edit setup.yp * Fix typo * Edit import warnigns * update nb * Update README * Update README * Update README * Add skeleton * Add skeleton
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53 changed files with 4627 additions and 1774 deletions
144
old/cluster_knn_cross.py
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144
old/cluster_knn_cross.py
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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 calculate the KNN-CDF for a set of CSiBORG halo catalogues.
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TODO:
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- [ ] Add support for new catalogue readers. Currently will not work.
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- [ ] Update catalogue readers.
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- [ ] Update paths.
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- [ ] Update to cross-correlate different mass populations from different
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simulations.
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"""
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raise NotImplementedError("This script is currently not working.")
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from argparse import ArgumentParser
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from datetime import datetime
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from itertools import combinations
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from warnings import warn
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import joblib
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import numpy
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import yaml
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from mpi4py import MPI
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from sklearn.neighbors import NearestNeighbors
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from taskmaster import master_process, worker_process
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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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###############################################################################
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# MPI and arguments #
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###############################################################################
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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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parser = ArgumentParser()
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parser.add_argument("--runs", type=str, nargs="+")
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parser.add_argument("--simname", type=str, choices=["csiborg", "quijote"])
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args = parser.parse_args()
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with open("../scripts/knn_cross.yml", "r") as file:
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config = yaml.safe_load(file)
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Rmax = 155 / 0.705 # Mpc (h = 0.705) high resolution region radius
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paths = csiborgtools.read.Paths(**csiborgtools.paths_glamdring)
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ics = paths.get_ics("csiborg")
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knncdf = csiborgtools.clustering.kNN_1DCDF()
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###############################################################################
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# Analysis #
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###############################################################################
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def read_single(selection, cat):
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mmask = numpy.ones(len(cat), dtype=bool)
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pos = cat.positions(False)
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# Primary selection
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psel = selection["primary"]
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pmin, pmax = psel.get("min", None), psel.get("max", None)
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if pmin is not None:
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mmask &= cat[psel["name"]] >= pmin
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if pmax is not None:
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mmask &= cat[psel["name"]] < pmax
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return pos[mmask, ...]
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def do_cross(run, ics):
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_config = config.get(run, None)
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if _config is None:
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warn("No configuration for run {}.".format(run), stacklevel=1)
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return
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rvs_gen = csiborgtools.clustering.RVSinsphere(Rmax)
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knn1, knn2 = NearestNeighbors(), NearestNeighbors()
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cat1 = csiborgtools.read.ClumpsCatalogue(ics[0], paths, max_dist=Rmax)
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pos1 = read_single(_config, cat1)
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knn1.fit(pos1)
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cat2 = csiborgtools.read.ClumpsCatalogue(ics[1], paths, max_dist=Rmax)
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pos2 = read_single(_config, cat2)
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knn2.fit(pos2)
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rs, cdf0, cdf1, joint_cdf = knncdf.joint(
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knn1,
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knn2,
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rvs_gen=rvs_gen,
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nneighbours=int(config["nneighbours"]),
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rmin=config["rmin"],
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rmax=config["rmax"],
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nsamples=int(config["nsamples"]),
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neval=int(config["neval"]),
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batch_size=int(config["batch_size"]),
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random_state=config["seed"],
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)
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corr = knncdf.joint_to_corr(cdf0, cdf1, joint_cdf)
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fout = paths.knncross(args.simname, run, ics)
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joblib.dump({"rs": rs, "corr": corr}, fout)
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def do_runs(nsims):
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for run in args.runs:
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do_cross(run, nsims)
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###############################################################################
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# Crosscorrelation calculation #
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###############################################################################
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if nproc > 1:
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if rank == 0:
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tasks = list(combinations(ics, 2))
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master_process(tasks, comm, verbose=True)
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else:
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worker_process(do_runs, comm, verbose=False)
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else:
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tasks = list(combinations(ics, 2))
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for task in tasks:
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print("{}: completing task `{}`.".format(datetime.now(), task))
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do_runs(task)
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comm.Barrier()
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if rank == 0:
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print("{}: all finished.".format(datetime.now()))
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quit() # Force quit the script
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