Delete obsolete script: bin/fg21sim-download-cluster-data

1 files changed, 0 insertions, 163 deletions

diff --git a/bin/fg21sim-download-cluster-data b/bin/fg21sim-download-cluster-data
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--- a/bin/fg21sim-download-cluster-data
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-#!/usr/bin/env python3
-#
-# Copyright (c) 2016-2017 Weitian LI <weitian@aaronly.me>
-# MIT license
-
-"""
-Retrieve the galaxy cluster catalog simulated by the *Hubble Volume Project*:
-
-    http://wwwmpa.mpa-garching.mpg.de/galform/virgo/hubble/
-
-The data used by this package is the *cluster catalog* of the *deep wedge*
-assuming the *ΛCMD* lightcone geometry,
-and can be downloaded from:
-
-    http://www.mpa-garching.mpg.de/galform/virgo/hubble/lcdm.DW.tar.gz
-
-The catalog data is downloaded, extracted, transformed, and finally saved
-to a CSV file.
-
-
-Catalog Description
--------------------
-The Hubble Volume Project is a joint effort of the Virgo Consortium and
-Collaborators in U.S., Canada, U.K., and Germany.  To study the formation
-of clusters of galaxies, filaments and void-structures, a significant
-fraction of the entire observable Universe is modeled and simulated by
-employing one billion (1e9) mass particles. [Evard2002]_
-
-The ΛCDM cosmological model, one of the two models adopted by the Project,
-has the following parameters:
-
-    Ω_m = 0.3, Ω_Λ = 0.7, h = 0.7, σ_8 = 0.9
-    Cube side length: 3000 h^-1 Mpc
-    Main slice: 3000 x 3000 x 30 h^-3 Mpc^3
-    P^3M: z_init = 35, s = 100 h^-1 kpc
-    1000^3 particles, 1024^3 mesh
-    M_particle = 2.25e12 h^-1 M_⊙
-
-The retrieved catalog of the galaxy clusters is derived from a *spherical
-overdensity* method applied to the *deep wedge* light-cone particle data,
-with overdensity threshold Δ=200.  The deep wedge lightcone covers
-10x10 deg^2, with a maximum LoS distance of 5100 h^-1 Mpc, and a redshift
-coverage limit of 4.37.  The coordinates used in the catalog are mapped
-to 0-1 unit, and as for the deep wedge catalog, the origin is at (0, 0, 0),
-and is directed toward (1, 1, 1).
-
-
-References
-----------
-.. [Evard2002]
-   Evard, A. E. et al.,
-   "Galaxy Clusters in Hubble Volume Simulations: Cosmological Constraints
-   from Sky Survey Populations",
-   2002, ApJ, 573, 7-36,
-   http://adsabs.harvard.edu/abs/2002ApJ...573....7E
-"""
-
-
-import os
-import sys
-import re
-import argparse
-import logging
-import csv
-import urllib.request
-import tarfile
-
-from fg21sim.share import CONFIGS
-from fg21sim.utils import setup_logging
-
-
-# URL to the simulated galaxy cluster catalog data
-DATA_URL = "http://www.mpa-garching.mpg.de/galform/virgo/hubble/lcdm.DW.tar.gz"
-
-
-def main():
-    outfile_default = "HVP_LCDM_DeepWedge_Catalog.csv"
-
-    parser = argparse.ArgumentParser(
-        description="Retrieve Simulated galaxy cluster catalog data")
-    parser.add_argument("outfile", nargs="?", default=outfile_default,
-                        help="output CSV file to save the catalog data " +
-                        "(default: %s)" % outfile_default)
-    parser.add_argument("-U", "--url", default=DATA_URL,
-                        help="URL to Green's SNRs catalog summary page " +
-                        "or a local HTML file (default: %s)" % DATA_URL)
-    parser.add_argument("-C", "--clobber", action="store_true",
-                        help="overwrite the existing output file")
-    parser.add_argument("-l", "--log", dest="loglevel", default=None,
-                        choices=["DEBUG", "INFO", "WARNING",
-                                 "ERROR", "CRITICAL"],
-                        help="set the log level")
-    parser.add_argument("-L", "--logfile", default=None,
-                        help="filename where to save the log messages")
-    parser.add_argument("-Q", "--quiet", action="store_true",
-                        help="be quiet so do not log messages to screen")
-    args = parser.parse_args()
-
-    log_stream = "" if args.quiet else None
-    setup_logging(dict_config=CONFIGS.logging,
-                  level=args.loglevel,
-                  stream=log_stream,
-                  logfile=args.logfile)
-    tool = os.path.basename(sys.argv[0])
-    logger = logging.getLogger(tool)
-    logger.info("COMMAND: {0}".format(" ".join(sys.argv)))
-
-    if os.path.exists(args.outfile) and (not args.clobber):
-        raise IOError("output file already exists: %s" % args.outfile)
-
-    basename = os.path.splitext(args.outfile)[0]
-    fn_catalog = basename + ".tar.gz"
-    fn_catalogtxt = basename + ".txt"
-
-    logger.info("Downloading the catalog data from: {0}".format(args.url))
-    urllib.request.urlretrieve(args.url, fn_catalog)
-    logger.info("Done download the catalog as file: {0}".format(fn_catalog))
-
-    logger.info("Extract the catalog data from the downloaded archive ...")
-    tf = tarfile.open(fn_catalog)
-    members = tf.getmembers()
-    if len(members) != 1:
-        raise ValueError("Catalog should contain only 1 file, but got %d" %
-                         len(members))
-    m0 = members[0]
-    tf.extract(m0)
-    tf.close()
-    os.rename(m0.name, fn_catalogtxt)
-    logger.info("Done extract catalog data to file: %s" % fn_catalogtxt)
-
-    # Data column names
-    header = ["m", "redshift", "sigma", "ip", "x", "y", "z", "vx", "vy", "vz"]
-    with open(args.outfile, "w") as csvfile:
-        csvwriter = csv.writer(csvfile)
-        csvwriter.writerow(header)
-        i = 0
-        for line in open(fn_catalogtxt):
-            if re.match(r"^\s*#|^\s*$", line):
-                # Ignore comment and blank line
-                continue
-            values = line.split()
-            if len(header) != len(values):
-                raise ValueError("Invalid line: '{0}'".format(line))
-            values = [
-                int(values[0]),       # m: number of particles
-                float(values[1]),     # redshift
-                float(values[2]),     # sigma: measured 1D velocity dispersion
-                int(values[3]),       # ip: parent flag
-                float(values[4]),     # x: cluster X location in 0-1 units
-                float(values[5]),     # y: cluster Y location in 0-1 units
-                float(values[6]),     # z: cluster Z location in 0-1 units
-                float(values[7]),     # vx: physical peculiar velocity [km/s]
-                float(values[8]),     # vy: physical peculiar velocity [km/s]
-                float(values[9]),     # vz: physical peculiar velocity [km/s]
-            ]
-            i += 1
-            csvwriter.writerow(values)
-    logger.info("Catalog data contains %d clusters" % i)
-    logger.info("Cluster catalog data write to: %s" % args.outfile)
-
-
-if __name__ == "__main__":
-    main()