tmplt_job = inspiral.TmpltBankJob(cp)
# Based on S6A results ttrigscan clustering has
# been replaced with 30-ms window clustering
# ts_job = TrigscanJob(cp)
si_job_coarse = SiClusterJobCoarse(cp)
si_job_fine = SiClusterJobFine(cp)
cp_job = FilesystemJob('cp')
# Add ifo-specific template config
if cp.has_section(ifo.lower() + '-tmpltbank'):
tmplt_job.add_ini_opts(cp, ifo.lower() + '-tmpltbank')
# Create a job to split the template into parallelization pieces
split_job = inspiral.SplitBankJob(cp)
# and one to run the inspirals
if doCohPTF:
insp_job = inspiral.PTFInspiralJob(cp)
else:
insp_job = inspiral.InspiralJob(cp)
# template and inspiral jobs also need to know about the data
if ifo == 'V1':
channel_name = 'virgo-channel'
data_name = 'virgo-data'
type_name = 'virgo-type'
else:
channel_name = 'ligo-channel'
data_name = 'ligo-data'
spincheck_job.add_opt(
ifo1.lower() + '-channel-name',
ifo1.upper() + ':' + cp.get('input', 'virgo-channel'))
if cp.get('input', 'virgo-type').startswith('T1300121'):
spincheck_job.add_opt(
ifo1.lower() + '-frame-cache', 'cache/' + ifo1[0] + '-' +
ifo1 + '_' + cp.get('input', 'virgo-type') + '_CACHE-' +
gps_times + '.lcf')
else:
spincheck_job.add_opt(
ifo1.lower() + '-frame-cache',
'cache/' + ifo1[0] + '-' + cp.get('input', 'virgo-type') +
'_CACHE-' + gps_times + '.lcf')
#splitbank
split_job = inspiral.SplitBankJob(cp, opts.dax)
if opts.splitbank:
if cp.has_option('splitbank-meta', 'bank-file'):
splitBankFile = cp.get('splitbank-meta', 'bank-file')
else:
splitBankFile = None
splitNumBanks = int(cp.get('splitbank-meta', 'num-banks'))
if doExtTrig:
try:
splitNumBanks = int(cp.get('splitbank-injmeta', 'num-banks'))
except:
pass
else:
splitBankFile = None
splitNumBanks = None