# Copyright (C) 2024 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 interpolate the density and velocity fields along the line of sight. """ from argparse import ArgumentParser from datetime import datetime from gc import collect from os import makedirs, remove, rmdir from os.path import exists, join from warnings import warn import csiborgtools import numpy as np from astropy import units as u from astropy.coordinates import SkyCoord from h5py import File from mpi4py import MPI from taskmaster import work_delegation from utils import get_nsims ############################################################################### # I/O functions # ############################################################################### def get_los(catalogue_name, simname, comm): """ Get the line of sight RA/dec coordinates for the given catalogue. Parameters ---------- catalogue_name : str Catalogue name. simname : str Simulation name. comm : mpi4py.MPI.Comm MPI communicator. Returns ------- pos : 2-dimensional array RA/dec coordinates of the line of sight. """ if comm.Get_rank() == 0: folder = "/mnt/extraspace/rstiskalek/catalogs" if catalogue_name == "LOSS" or catalogue_name == "Foundation": fpath = join(folder, "PV_compilation_Supranta2019.hdf5") with File(fpath, 'r') as f: grp = f[catalogue_name] RA = grp["RA"][:] dec = grp["DEC"][:] elif catalogue_name == "A2": fpath = join(folder, "A2.h5") with File(fpath, 'r') as f: RA = f["RA"][:] dec = f["DEC"][:] elif "csiborg1" in catalogue_name: nsim = int(catalogue_name.split("_")[-1]) cat = csiborgtools.read.CSiBORG1Catalogue( nsim, bounds={"totmass": (1e13, None)}) seed = 42 gen = np.random.default_rng(seed) mask = gen.choice(len(cat), size=100, replace=False) sph_pos = cat["spherical_pos"] RA = sph_pos[mask, 1] dec = sph_pos[mask, 2] else: raise ValueError(f"Unknown field name: `{catalogue_name}`.") # The Carrick+2015 is in galactic coordinates, so we need to convert # the RA/dec to galactic coordinates. if simname == "Carrick2015": c = SkyCoord(ra=RA*u.degree, dec=dec*u.degree, frame='icrs') pos = np.vstack((c.galactic.l, c.galactic.b)).T else: pos = np.vstack((RA, dec)).T else: pos = None return comm.bcast(pos, root=0) def get_field(simname, nsim, kind, MAS, grid): """ Get the field from the simulation. Parameters ---------- simname : str Simulation name. nsim : int IC realisation index. kind : str Field kind. Either `density` or `velocity`. MAS : str Mass assignment scheme. grid : int Grid resolution. Returns ------- field : n-dimensional array """ # Open the field reader. if simname == "csiborg1": field_reader = csiborgtools.read.CSiBORG1Field(nsim) elif simname == "Carrick2015": folder = "/mnt/extraspace/rstiskalek/catalogs" warn(f"Using local paths from `{folder}`.", RuntimeWarning) if kind == "density": fpath = join(folder, "twompp_density_carrick2015.npy") return np.load(fpath).astype(np.float32) elif kind == "velocity": fpath = join(folder, "twompp_velocity_carrick2015.npy") return np.load(fpath).astype(np.float32) else: raise ValueError(f"Unknown field kind: `{kind}`.") else: raise ValueError(f"Unknown simulation name: `{simname}`.") # Read in the field. if kind == "density": field = field_reader.density_field(MAS, grid) elif kind == "velocity": field = field_reader.velocity_field(MAS, grid) else: raise ValueError(f"Unknown field kind: `{kind}`.") return field def combine_from_simulations(catalogue_name, simname, nsims, outfolder, dumpfolder): """ Combine the results from individual simulations into a single file. Parameters ---------- catalogue_name : str Catalogue name. simname : str Simulation name. nsims : list List of IC realisations. outfolder : str Output folder. dumpfolder : str Dumping folder where the temporary files are stored. Returns ------- None """ fname_out = join(outfolder, f"los_{catalogue_name}_{simname}.hdf5") print(f"Combining results from invidivual simulations to `{fname_out}`.") if exists(fname_out): remove(fname_out) for nsim in nsims: fname = join(dumpfolder, f"los_{simname}_{nsim}.hdf5") with File(fname, 'r') as f, File(fname_out, 'a') as f_out: f_out.create_dataset(f"rdist_{nsim}", data=f["rdist"][:]) f_out.create_dataset(f"density_{nsim}", data=f["density"][:]) f_out.create_dataset(f"velocity_{nsim}", data=f["velocity"][:]) # Remove the temporary file. remove(fname) # Remove the dumping folder. rmdir(dumpfolder) print("Finished combining results.") ############################################################################### # Main interpolating function # ############################################################################### def interpolate_field(pos, simname, nsim, MAS, grid, dump_folder, rmax, dr, smooth_scales): """ Interpolate the density and velocity fields along the line of sight. Parameters ---------- pos : 2-dimensional array RA/dec coordinates of the line of sight. simname : str Simulation name. nsim : int IC realisation index. MAS : str Mass assignment scheme. grid : int Grid resolution. dump_folder : str Folder where the temporary files are stored. rmax : float Maximum distance along the line of sight. dr : float Distance spacing along the line of sight. smooth_scales : list Smoothing scales. Returns ------- None """ boxsize = csiborgtools.simname2boxsize(simname) fname_out = join(dump_folder, f"los_{simname}_{nsim}.hdf5") # First do the density field. density = get_field(simname, nsim, "density", MAS, grid) rdist, finterp = csiborgtools.field.evaluate_los( density, sky_pos=pos, boxsize=boxsize, rmax=rmax, dr=dr, smooth_scales=smooth_scales, verbose=False) print(f"Writing temporary file `{fname_out}`.") with File(fname_out, 'w') as f: f.create_dataset("rdist", data=rdist) f.create_dataset("density", data=finterp) del density, rdist, finterp collect() velocity = get_field(simname, nsim, "velocity", MAS, grid) rdist, finterp = csiborgtools.field.evaluate_los( velocity[0], velocity[1], velocity[2], sky_pos=pos, boxsize=boxsize, rmax=rmax, dr=dr, smooth_scales=smooth_scales, verbose=False) with File(fname_out, 'a') as f: f.create_dataset("velocity", data=finterp) ############################################################################### # Command line interface # ############################################################################### if __name__ == "__main__": parser = ArgumentParser() parser.add_argument("--catalogue", type=str, help="Catalogue name.") 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("--MAS", type=str, choices=["NGP", "CIC", "TSC", "PCS", "SPH"], help="Mass assignment scheme.") parser.add_argument("--grid", type=int, help="Grid resolution.") args = parser.parse_args() rmax = 200 dr = 0.5 smooth_scales = [0, 2, 4, 6] comm = MPI.COMM_WORLD paths = csiborgtools.read.Paths(**csiborgtools.paths_glamdring) nsims = get_nsims(args, paths) out_folder = "/mnt/extraspace/rstiskalek/csiborg_postprocessing/field_los" # Create the dumping folder. if comm.Get_rank() == 0: dump_folder = join(out_folder, f"temp_{str(datetime.now())}".replace(" ", "_")) print(f"Creating folder `{dump_folder}`.") makedirs(dump_folder) else: dump_folder = None dump_folder = comm.bcast(dump_folder, root=0) # Get the line of sight sky coordinates. pos = get_los(args.catalogue, args.simname, comm) def main(nsim): interpolate_field(pos, args.simname, nsim, args.MAS, args.grid, dump_folder, rmax, dr, smooth_scales) work_delegation(main, nsims, comm, master_verbose=True) comm.Barrier() if comm.Get_rank() == 0: combine_from_simulations(args.catalogue, args.simname, nsims, out_folder, dump_folder) print("All finished!")