Revision 9291900d0e04ba2345b5cb5f324858ab964abf22 authored by Josh Willis on 28 May 2020, 10:48:11 UTC, committed by GitHub on 28 May 2020, 10:48:11 UTC
* Add scripts for detailed comparison of two offline search runs * Relocate offline search workflow comparisons from tools/ to bin/ * Add copyright statements to all newly added search comparison scripts * Clarify some arguments to 'pycbc_injection_set_comparison'
1 parent 615f9db
pycbc_aligned_bank_cat
#!/usr/bin/env python
# Copyright (C) 2013 Ian W. Harry
#
# 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.
"""
Programe for concatenating the output of the geometric aligned bank dagman.
This will gather all the meta-output files and create a valid template bank
xml file.
"""
import logging
import fileinput
import glob
import argparse
import numpy
import pycbc.version
import h5py
from six.moves import range
from glue.ligolw import ligolw
from glue.ligolw import lsctables
from glue.ligolw import utils
from pycbc import tmpltbank
from numpy import loadtxt
import pycbc
import pycbc.psd
import pycbc.strain
import pycbc.version
import pycbc.tmpltbank
from pycbc.waveform import get_waveform_filter_length_in_time
__author__ = "Ian Harry <ian.harry@astro.cf.ac.uk>"
__version__ = pycbc.version.git_verbose_msg
__date__ = pycbc.version.date
__program__ = "pycbc_aligned_bank_cat"
# Read command line options
usage = """usage: %prog [options]"""
_desc = __doc__[1:]
parser = argparse.ArgumentParser(description=_desc,
formatter_class=tmpltbank.IndentedHelpFormatterWithNL)
parser.add_argument("--version", action="version", version=__version__)
parser.add_argument("--verbose", action="store_true", default=False,
help="verbose output")
parser.add_argument("-i", "--input-glob",
help="file glob the list of paramters")
parser.add_argument("-I", "--input-files", nargs='+',
help="Explicit list of input files.")
parser.add_argument("-o", "--output-file", help="Output file name")
parser.add_argument('--f-low-column', type=str, metavar='NAME',
help='If given, store the lower frequency cutoff into '
'column NAME of the single-inspiral table.')
parser.add_argument("-m", "--metadata-file", metavar="METADATA_FILE",
help="XML file containing the process and process_params "
"tables that the aligned_bank code was run with.")
# Insert the metric calculation options
tmpltbank.insert_metric_calculation_options(parser)
# Insert the PSD options
pycbc.psd.insert_psd_option_group(parser)
# Insert the data reading options
pycbc.strain.insert_strain_option_group(parser)
# Add the ethinca calculation options
tmpltbank.insert_ethinca_metric_options(parser)
options = parser.parse_args()
if options.verbose:
log_level = logging.DEBUG
else:
log_level = logging.WARN
logging.basicConfig(format='%(asctime)s %(message)s', level=log_level)
# Sanity check options
if not options.output_file:
parser.error("Must supply --output-file.")
tmpltbank.verify_metric_calculation_options(options, parser)
metricParams=tmpltbank.metricParameters.from_argparse(options)
pycbc.psd.verify_psd_options(options, parser)
if options.psd_estimation:
pycbc.strain.verify_strain_options(options, parser)
tmpltbank.verify_ethinca_metric_options(options, parser)
ethincaParams=tmpltbank.ethincaParameters.from_argparse(options)
# delete default ethinca frequency step if calculation is not done
if ethincaParams.doEthinca==False:
ethincaParams.freqStep = None
# Ensure consistency of ethinca and bank metric parameters
tmpltbank.check_ethinca_against_bank_params(ethincaParams, metricParams)
# Ethinca calculation should currently only be done for non-spin templates
if ethincaParams.full_ethinca and (massRangeParams.maxNSSpinMag>0.0 or
massRangeParams.maxBHSpinMag>0.0):
parser.error("Ethinca metric calculation is currently not valid for "
"nonzero spins!")
# If we are going to use h(t) to estimate a PSD we need h(t)
if options.psd_estimation:
logging.info("Obtaining h(t) for PSD generation")
strain = pycbc.strain.from_cli(options, pycbc.DYN_RANGE_FAC)
else:
strain = None
# Get the PSD using the pycbc interface
logging.info("Obtaining PSD")
# Want the number of samples to be a binary number and Nyquist must be above
# opts.f_upper. All this assumes that 1 / deltaF is a binary number
nyquistFreq = 2**numpy.ceil(numpy.log2(options.f_upper))
numSamples = int(round(nyquistFreq / options.delta_f)) + 1
psd = pycbc.psd.from_cli(options, length=numSamples, delta_f=options.delta_f,
low_frequency_cutoff=options.f_low, strain=strain,
dyn_range_factor=pycbc.DYN_RANGE_FAC)
metricParams.psd = psd
# Begin by calculating a metric
logging.info("Calculating metric")
metricParams = tmpltbank.determine_eigen_directions(metricParams,
vary_fmax=ethincaParams.doEthinca, vary_density=ethincaParams.freqStep)
# Read in template params
# NOTE: Files must be set out so that the columns are:
# Mass1, Mass2, Spin1z, Spin2z
if options.input_files:
input_files = options.input_files
else:
input_files = glob.glob(options.input_glob)
mass1 = []
mass2 = []
spin1z = []
spin2z = []
for inp_file in input_files:
inp_fp = h5py.File(inp_file, 'r')
data = inp_fp['accepted_templates'][:]
if len(data) == 0:
continue
mass1.extend(data[:,0])
mass2.extend(data[:,1])
spin1z.extend(data[:,2])
spin2z.extend(data[:,3])
inp_fp.close()
temp_bank = numpy.array([mass1,mass2,spin1z,spin2z]).T
# FIXME: Currently the aligned spin bank will not output the ethinca components.
# They are not meaningful for an aligned spin bank anyway. If these values are
# needed for any reason, this code would have to be able to recalculate the
# moments (or read them in) and use the correct value of f0 and pn-order
if options.metadata_file:
class LIGOLWContentHandler(ligolw.LIGOLWContentHandler):
pass
lsctables.use_in(LIGOLWContentHandler)
outdoc = utils.load_filename(options.metadata_file,\
gz = options.metadata_file.endswith("gz"),
contenthandler=LIGOLWContentHandler)
else:
outdoc = None
if options.output_file.endswith(('.xml','.xml.gz','.xmlgz')):
tmpltbank.output_sngl_inspiral_table(options.output_file, temp_bank,
metricParams, ethincaParams, programName=__program__,
optDict=options.__dict__,
outdoc=outdoc, comment="", version=pycbc.version.git_hash,
cvs_repository='pycbc/'+pycbc.version.git_branch,
cvs_entry_time=pycbc.version.date)
elif options.output_file.endswith(('.h5','.hdf','.hdf5')):
out_fp = h5py.File(options.output_file, 'w')
out_fp['mass1'] = temp_bank[:,0]
out_fp['mass2'] = temp_bank[:,1]
out_fp['spin1z'] = temp_bank[:,2]
out_fp['spin2z'] = temp_bank[:,3]
out_fp['f_lower'] = [options.f_low] * len(temp_bank[:,0])
tmplt_durations = []
for i in range(len(temp_bank[:,0])):
gwflit = get_waveform_filter_length_in_time
wfrm_length = gwflit('SPAtmplt', mass1=temp_bank[i,0],
mass2=temp_bank[i,1], f_lower=options.f_low,
phase_order=7)
tmplt_durations.append(wfrm_length)
out_fp['template_duration'] = tmplt_durations
out_fp['approximant'] = ['TaylorF2'] * len(temp_bank[:,0])
out_fp.close()
else:
err_msg = "Unrecognized extension for file {}.".format(options.output_file)
raise ValueError(err_msg)
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