def rvs(self, size=1):
""" Rejection samples the prior parameter space.
"""
# create output FieldArray
out = record.FieldArray(size, dtype=[(arg, float)
for arg in self.variable_args])
# loop until enough samples accepted
n = 0
while n < size:
# draw samples
samples = {}
for dist in self.distributions:
draw = dist.rvs(1)
for param in dist.params:
samples[param] = draw[param][0]
vals = numpy.array([samples[arg] for arg in self.variable_args])
# determine if all parameter values are in prior space
# if they are then add to output
if self(**dict(zip(self.variable_args, vals))) > -numpy.inf:
out[n] = vals
n += 1
return out
def check_coinc_results():
coinc_fail = False
# gather coincident triggers
coinc_trig_paths = sorted(glob.glob('output/coinc*.xml.gz'))
n_coincs=len(coinc_trig_paths)
if n_coincs==0:
log.error('No coincident triggers detected')
coinc_fail = True
elif n_coincs>=10:
log.error('Too many coincident triggers detected')
coinc_fail = True
else:
log.info('%d coincident trigger(s) detected', n_coincs)
injs = sorted(glob.glob('test_inj*.hdf'))
n_injs = len(injs)
inj_mass1 = np.empty(n_injs)
inj_mass2 = np.empty(n_injs)
inj_spin1z = np.empty(n_injs)
inj_spin2z = np.empty(n_injs)
inj_time = np.empty(n_injs)
for idx, inj_path in enumerate(injs):
with h5py.File(inj_path, 'r') as inj:
inj_mass1[idx] = inj['mass1'][0]
inj_mass2[idx] = inj['mass2'][0]
inj_spin1z[idx] = inj['spin1z'][0]
inj_spin2z[idx] = inj['spin2z'][0]
inj_time[idx] = inj['tc'][0]
if n_injs > n_coincs :
log.error('More injections than coincident triggers')
coinc_fail = True
#create field array to store properties of triggers
trig_props = record.FieldArray(n_coincs, dtype=[('mass1', float), \
('mass2', float), ('spin1z', float), ('spin2z', float), \
('tc', float), ('net_snr', float)])
#store properties of coincident triggers
for x, ctrigfp in enumerate(coinc_trig_paths):
log.info('Checking trigger %s', ctrigfp)
xmldoc = ligolw_utils.load_filename(
ctrigfp, False, contenthandler=LIGOLWContentHandler)
sngl_inspiral_table = lsctables.SnglInspiralTable.get_table(xmldoc)
trig_props['tc'][x]=sngl_inspiral_table.get_column('end_time')[0]
trig_props['mass1'][x]=sngl_inspiral_table.get_column('mass1')[0]
trig_props['mass2'][x]=sngl_inspiral_table.get_column('mass2')[0]
trig_props['spin1z'][x]=sngl_inspiral_table.get_column('spin1z')[0]
trig_props['spin2z'][x]=sngl_inspiral_table.get_column('spin2z')[0]
snr_list=sngl_inspiral_table.get_column('snr')
network_snr = sum([snr ** 2 for snr in snr_list]) ** 0.5
trig_props['net_snr'][x]=network_snr
log.info('IFO SNRs: '+str(snr_list))
log.info('Network SNR: %f', network_snr)
log.info('IFO End Time: %f', trig_props['tc'][x])
log.info('Mass 1: %f', trig_props['mass1'][x])
log.info('Mass 2: %f', trig_props['mass2'][x])
log.info('Spin1z: %f', trig_props['spin1z'][x])
log.info('Spin2z: %f', trig_props['spin2z'][x])
# check if injections match trigger params
for i in range(n_injs):
has_match = False
for j in range(n_coincs):
if (close(inj_time[i],trig_props['tc'][j],1.0) and close(inj_mass1[i], trig_props['mass1'][j], 5e-7)
and close(inj_mass2[i], trig_props['mass2'][j], 5e-7) and close(inj_spin1z[i], trig_props['spin1z'][j], 5e-7)
and close(inj_spin2z[i], trig_props['spin2z'][j], 5e-7) and close(15.0, trig_props['net_snr'][j], 1.0)):
has_match = True
break
if not has_match:
coinc_fail = True
log.error('Injection %i has no match',i)
if coinc_fail:
log.error('Coincident Trigger Test Failed')
return coinc_fail
from pycbc.inject import InjectionSet
if os.path.exists('./test_inj1.hdf'):
raise OSError("output-file 1 already exists")
if os.path.exists('./test_inj2.hdf'):
raise OSError("output-file 2 already exists")
# injection 1
static_params = { 'f_lower': 18.0, 'f_ref': 18.0, 'approximant': 'SEOBNRv4',
'taper': 'start', 'ra': 45.0, 'dec': 45.0, 'inclination': 0.0,
'coa_phase': 0.0, 'polarization': 0.0}
samples = record.FieldArray(2, dtype=[('mass1', float), ('mass2', float),
('spin1z', float), ('spin2z', float),
('tc', float), ('distance', float)])
# The following 'magic numbers' are intended to match the highest
# mass injection in the template bank
samples['mass1'] = [290.929321]
samples['mass2'] = [3.6755455]
samples['spin1z'] = [0.9934847]
samples['spin2z'] = [0.92713535]
samples['tc'] = [1272790100.1]
samples['distance'] = [603.0]
InjectionSet.write('test_inj1.hdf', samples, static_args = static_params,
injtype = 'cbc', cmd=" ".join(sys.argv))
