[workflow]
file-retention-level = merged_triggers
start-time = 1242484974
end-time = 1243161518
h1-channel-name = H1:DCS-CALIB_STRAIN_CLEAN_SUB60HZ_C01
l1-channel-name = L1:DCS-CALIB_STRAIN_CLEAN_SUB60HZ_C01

[workflow-ifos]
h1 = 
l1 = 

[workflow-datafind]
datafind-method = AT_RUNTIME_SINGLE_FRAMES
datafind-h1-frame-type = H1_HOFT_CLEAN_SUB60HZ_C01
datafind-l1-frame-type = L1_HOFT_CLEAN_SUB60HZ_C01
datafind-check-frames-exist = raise_error
datafind-check-segment-gaps = raise_error

[workflow-segments]
segments-database-url = https://segments.ligo.org
segments-veto-definer-url = https://git.ligo.org/detchar/veto-definitions/raw/O3b_CBC_H1L1V1_C01_v1.3/cbc/O3/H1L1V1-HOFT_C01_V1ONLINE_O3_CBC.xml
segments-source = dqsegdb
segments-vetoes = +CAT_2,+CAT_H

[workflow-segments-h1]
segments-science = +DCS-ANALYSIS_READY_C01:1,-CAT_1

[workflow-segments-l1]
segments-science = +DCS-ANALYSIS_READY_C01:1,-CAT_1

[workflow-segments-v1]
segments-science = +ITF_SCIENCE:2,-CAT_1

[datafind]
urltype = file

[hdfinjfind]
injection-window = 2.0
optimal-snr-column = H1:optimal_snr_H1 L1:optimal_snr_L1

[workflow-tmpltbank]
tmpltbank-method = PREGENERATED_BANK
tmpltbank-pregenerated-bank = PREC_BANK.h5

[workflow-splittable]
splittable-method = IN_WORKFLOW
splittable-exe-tag = splitbank

[workflow-splittable-full_data]
splittable-num-banks = 100

[workflow-splittable-injections]
splittable-num-banks = 20

[workflow-matchedfilter]
matchedfilter-method = WORKFLOW_INDEPENDENT_IFOS
min-analysis-segments = 6
min-analysis-length = 3400
max-analysis-segments = 10
output-type = hdf
plot-throughput = 

[workflow-coincidence]
do-trigger-fitting = 

[workflow-coincidence-full_data]
timeslide-precedence = H1, L1, V1, K1, I1
parallelization-factor = 100

[workflow-coincidence-injections]
parallelization-factor = 100

[workflow-psd]
parallelization-factor = 10

[workflow-results]
max-hierarchical-removal = 1

[llwadd]
ilwdchar-compat = 

[segments_from_cats]

[ligolw_combine_segments]

[splitbank]
random-sort = 
random-seed = 42

[inspiral]
pad-data = 8
approximant = IMRPhenomXP
strain-high-pass = 15
sample-rate = 2048
segment-length = 512
segment-start-pad = 32
segment-end-pad = 16
allow-zero-padding = 
taper-data = 1
psd-estimation = median
psd-segment-length = 16
psd-segment-stride = 8
psd-inverse-length = 16
psd-num-segments = 63
psdvar-segment = 8
psdvar-short-segment = 0.25
psdvar-long-segment = 512
psdvar-psd-duration = 8
psdvar-psd-stride = 4
psdvar-low-freq = 20
psdvar-high-freq = 480
autogating-threshold = 30
autogating-cluster = 0.5
autogating-width = 0.25
autogating-taper = 0.25
autogating-pad = 0
autogating-max-iterations = 5
low-frequency-cutoff = 30
enable-bank-start-frequency = 
cluster-window = 1
cluster-function = symmetric
chisq-snr-threshold = 1.0
chisq-bins = 16
newsnr-threshold = 3.8
sgchisq-snr-threshold = 6.0
sgchisq-locations = "mtotal>30:20-15,20-30,20-45,20-60,20-75,20-90,20-105,20-120"
filter-inj-only = 
finalize-events-template-rate = 500
injection-window = 4.5
processing-scheme = mkl
snr-threshold = 5.5 5.5
max-num-comps = 2
injection-filter-rejector-chirp-time-window = 5

[calculate_psd]
cores = 1
low-frequency-cutoff = 30
pad-data = 8
strain-high-pass = 15
sample-rate = 2048
segment-length = 512
segment-start-pad = 32
segment-end-pad = 16
psd-estimation = median
psd-segment-length = 16
psd-segment-stride = 8
psd-num-segments = 63
taper-data = 1
autogating-threshold = 30
autogating-cluster = 0.5
autogating-width = 0.25
autogating-taper = 0.25
autogating-pad = 0
autogating-max-iterations = 5

[merge_psds]

[hdf_trigger_merge]

[bank2hdf]

[fit_by_template]
fit-function = exponential
sngl-ranking = newsnr_sgveto_psdvar
stat-threshold = 6.0
prune-param = mtotal
log-prune-param = 
prune-bins = 1
prune-number = 1

[fit_over_param]
fit-param = mtotal
f-lower = 30
log-param = True
smoothing-width = 0.4
num-comps = 2

[distribute_background_bins]

[coinc]
coinc-threshold = 0.002
ranking-statistic = phasetd_exp_fit_fgbg_norm_tha
sngl-ranking = newsnr_sgveto_psdvar
randomize-template-order = 
statistic-files = HL_prec_stat.hdf
statistic-keywords = num_comps:2

[coinc-full_data]
timeslide-interval = 0.1
loudest-keep-values = [9:10,8.5:30,8:30,7.5:30]

[coinc-injinj]

[statmap]
max-hierarchical-removal = 1
hierarchical-removal-against = exclusive
veto-window = 0.0001
cluster-window = 10.0

[combine_statmap]
cluster-window = 10.0

[foreground_censor]

[results_page]
analysis-title = "PyCBC search"
analysis-subtitle = "Small Test Search"
output-path = /PATH/TO/HTML/OUTPUT/DIRECTORY

[pycbc_ifar_catalog]

[workflow-minifollowups]
num-events = 10

[workflow-sngl_minifollowups]
num-sngl-events = 10

[workflow-sngl_minifollowups-noncoinc]
section-header = loudest_noncoinc_time

[workflow-sngl_minifollowups-all]
section-header = all

[workflow-injection_minifollowups]
num-events = 10
subsection-suffix = with_ifar_lt_1_year

[foreground_minifollowup]

[foreground_minifollowup-foreground]
analysis-category = foreground

[foreground_minifollowup-background]
analysis-category = background_exc

[singles_minifollowup]
ranking-statistic = quadsum
sngl-ranking = newsnr_sgveto_psdvar

[singles_minifollowup-noncoinc]
non-coinc-time-only = 

[singles_minifollowup-all]

[injection_minifollowup]
ifar-threshold = 1

[page_snglinfo]
ranking-statistic = quadsum
sngl-ranking = newsnr_sgveto_psdvar

[single_template_plot]

[single_template_plot-p1]
window = 0.1

[plot_trigger_timeseries]

[html_snippet]

[page_coincinfo]

[page_coincinfo-background]
statmap-file-subspace-name = background_exc

[page_coincinfo-foreground]
statmap-file-subspace-name = foreground

[plot_trigger_timeseries-snr1]
window = 1
plot-type = snr
log-y-axis = 

[plot_trigger_timeseries-newsnr1]
window = 1
plot-type = newsnr

[plot_singles_timefreq]
f-low = 30
rank = newsnr
num-loudest = 1
approximant = TaylorF2
strain-high-pass = 15
sample-rate = 2048
pad-data = 8

[plot_qscan]
time-windows = 10,1 1,1
strain-high-pass = 15
sample-rate = 2048
pad-data = 8

[single_template]
segment-length = 512
segment-start-pad = 32
segment-end-pad = 16
psd-estimation = median
psd-segment-length = 16
psd-segment-stride = 8
psd-inverse-length = 16
chisq-bins = 16
low-frequency-cutoff = 30
approximant = IMRPhenomD
processing-scheme = mkl
window = 10
psd-num-segments = 63
taper-data = 1
allow-zero-padding = 
autogating-threshold = 30
autogating-cluster = 0.5
autogating-width = 0.25
autogating-taper = 0.25
autogating-pad = 0
autogating-max-iterations = 5
minimum-chisq-bins = 3
strain-high-pass = 15
sample-rate = 2048
pad-data = 8

[single_template-inj_params_inverted]
injection-scale-factor = -1

[single_template-inj_params_noinj]
injection-scale-factor = 1000000

[plot_waveform]
low-frequency-cutoff = 30
waveform-length = 512
sample-rate = 2048
approximant = IMRPhenomD

[plot_sensitivity]
dist-bins = 50
exclusive-sig = 
integration-method = pylal

[s-mchirp]
bins = 10 20 100

[plot_foundmissed]
far-type = exclusive

[plot_singles]
min-snr = 6

[plot_singles-mtotal_eta_newsnr]
x-var = mtotal
log-x = 
y-var = eta
z-var = "newsnr_sgveto"
min-z = 6

[plot_range]

[plot_range-summ]
mass1 = 1.4
mass2 = 1.4
approximant = SPAtmplt

[contours]
newsnr-contours = 5 7 9 11 13

[plot_snrchi]
min-snr = 6.0
newsnr-contours = 5 7 9 11 13

[plot_coinc_snrchi]
newsnr-contours = 5 7 9 11 13

[plot_coinc_snrchi-inj]

[plot_hist]

[plot_hist-summ_snr]
x-var = snr
x-min = 6
x-max = 100

[plot_hist-summ_newsnr]
x-var = newsnr
x-min = 6
x-max = 15

[plot_binnedhist]
sngl-ranking = newsnr_sgveto_psdvar
fit-function = exponential
stat-threshold = 6.0
prune-param = mtotal
log-prune-param = 
prune-bins = 1
prune-number = 1

[plot_binnedhist-mtotal]
bin-param = mtotal
f-lower = 20.0
num-bins = 2
bin-spacing = log

[plot_spectrum]
psd-model = aLIGOZeroDetHighPower

[page_ifar]
decimation-factor = 100

[page_ifar-open_box]
open-box = 

[page_vetotable]

[plot_bank]
log-x = 
log-y = 

[page_segtable]

[page_segplot]

[plot_snrifar]

[page_foreground]

[page_foreground-xmlloudest]
num-to-write = 2

[page_injections]

[plot_segments]

[plot_gating]

[plot_snrratehist]

[plot_throughput]

[executables]
page_ifar_catalog = /home/ian.harry/.conda/envs/thapycbcsbank/bin/pycbc_ifar_catalog
average_psd = /home/ian.harry/.conda/envs/thapycbcsbank/bin/pycbc_average_psd
inj2hdf = /home/ian.harry/.conda/envs/thapycbcsbank/bin/pycbc_inspinj2hdf
bank2hdf = /home/ian.harry/.conda/envs/thapycbcsbank/bin/pycbc_coinc_bank2hdf
calculate_psd = /home/ian.harry/.conda/envs/thapycbcsbank/bin/pycbc_calculate_psd
coinc = /home/ian.harry/.conda/envs/thapycbcsbank/bin/pycbc_coinc_findtrigs
combine_statmap = /home/ian.harry/.conda/envs/thapycbcsbank/bin/pycbc_add_statmap
distribute_background_bins = /home/ian.harry/.conda/envs/thapycbcsbank/bin/pycbc_distribute_background_bins
fit_by_template = /home/ian.harry/.conda/envs/thapycbcsbank/bin/pycbc_fit_sngls_by_template
fit_over_param = /home/ian.harry/.conda/envs/thapycbcsbank/bin/pycbc_fit_sngls_over_multiparam_tha
foreground_censor = /home/ian.harry/.conda/envs/thapycbcsbank/bin/pycbc_foreground_censor
hdfinjfind = /home/ian.harry/.conda/envs/thapycbcsbank/bin/pycbc_coinc_hdfinjfind
hdf_trigger_merge = /home/ian.harry/.conda/envs/thapycbcsbank/bin/pycbc_coinc_mergetrigs
inj_cut = /home/ian.harry/.conda/envs/thapycbcsbank/bin/pycbc_inj_cut
injections = /home/ian.harry/.conda/envs/thapycbcsbank/bin/lalapps_inspinj
inspiral = /home/ian.harry/.conda/envs/thapycbcsbank/bin/pycbc_inspiral_tha
ligolw_combine_segments = /home/ian.harry/.conda/envs/thapycbcsbank/bin/ligolw_combine_segments
llwadd = /home/ian.harry/.conda/envs/thapycbcsbank/bin/ligolw_add
merge_psds = /home/ian.harry/.conda/envs/thapycbcsbank/bin/pycbc_merge_psds
optimal_snr = /home/ian.harry/.conda/envs/thapycbcsbank/bin/pycbc_optimal_snr
page_foreground = /home/ian.harry/.conda/envs/thapycbcsbank/bin/pycbc_page_foreground
page_ifar = /home/ian.harry/.conda/envs/thapycbcsbank/bin/pycbc_page_ifar
page_injections = /home/ian.harry/.conda/envs/thapycbcsbank/bin/pycbc_page_injtable
page_segplot = /home/ian.harry/.conda/envs/thapycbcsbank/bin/pycbc_page_segplot
page_segtable = /home/ian.harry/.conda/envs/thapycbcsbank/bin/pycbc_page_segtable
page_vetotable = /home/ian.harry/.conda/envs/thapycbcsbank/bin/pycbc_page_vetotable
plot_bank = /home/ian.harry/.conda/envs/thapycbcsbank/bin/pycbc_plot_bank_bins
plot_binnedhist = /home/ian.harry/.conda/envs/thapycbcsbank/bin/pycbc_fit_sngls_binned
plot_coinc_snrchi = /home/ian.harry/.conda/envs/thapycbcsbank/bin/pycbc_page_coinc_snrchi
plot_foundmissed = /home/ian.harry/.conda/envs/thapycbcsbank/bin/pycbc_page_foundmissed
plot_gating = /home/ian.harry/.conda/envs/thapycbcsbank/bin/pycbc_plot_gating
plot_hist = /home/ian.harry/.conda/envs/thapycbcsbank/bin/pycbc_plot_hist
plot_qscan = /home/ian.harry/.conda/envs/thapycbcsbank/bin/pycbc_plot_qscan
plot_range = /home/ian.harry/.conda/envs/thapycbcsbank/bin/pycbc_plot_range
plot_segments = /home/ian.harry/.conda/envs/thapycbcsbank/bin/pycbc_page_segments
plot_sensitivity = /home/ian.harry/.conda/envs/thapycbcsbank/bin/pycbc_page_sensitivity
plot_singles = /home/ian.harry/.conda/envs/thapycbcsbank/bin/pycbc_plot_singles_vs_params
plot_snrchi = /home/ian.harry/.conda/envs/thapycbcsbank/bin/pycbc_page_snrchi
plot_snrifar = /home/ian.harry/.conda/envs/thapycbcsbank/bin/pycbc_page_snrifar
plot_spectrum = /home/ian.harry/.conda/envs/thapycbcsbank/bin/pycbc_plot_psd_file
exclude_zerolag = /home/ian.harry/.conda/envs/thapycbcsbank/bin/pycbc_exclude_zerolag
plot_throughput = /home/ian.harry/.conda/envs/thapycbcsbank/bin/pycbc_plot_throughput
results_page = /home/ian.harry/.conda/envs/thapycbcsbank/bin/pycbc_make_html_page
segment_query = /home/ian.harry/.conda/envs/thapycbcsbank/bin/ligolw_segment_query_dqsegdb
segments_from_cats = /home/ian.harry/.conda/envs/thapycbcsbank/bin/ligolw_segments_from_cats_dqsegdb
splitbank = /home/ian.harry/.conda/envs/thapycbcsbank/bin/pycbc_hdf5_splitbank
statmap = /home/ian.harry/.conda/envs/thapycbcsbank/bin/pycbc_coinc_statmap
statmap_inj = /home/ian.harry/.conda/envs/thapycbcsbank/bin/pycbc_coinc_statmap_inj
strip_injections = /home/ian.harry/.conda/envs/thapycbcsbank/bin/pycbc_strip_injections
tmpltbank = /home/ian.harry/.conda/envs/thapycbcsbank/bin/pycbc_geom_nonspinbank
html_snippet = /home/ian.harry/.conda/envs/thapycbcsbank/bin/pycbc_create_html_snippet
foreground_minifollowup = /home/ian.harry/.conda/envs/thapycbcsbank/bin/pycbc_foreground_minifollowup
injection_minifollowup = /home/ian.harry/.conda/envs/thapycbcsbank/bin/pycbc_injection_minifollowup
singles_minifollowup = /home/ian.harry/.conda/envs/thapycbcsbank/bin/pycbc_sngl_minifollowup
page_injinfo = /home/ian.harry/.conda/envs/thapycbcsbank/bin/pycbc_page_injinfo
page_coincinfo = /home/ian.harry/.conda/envs/thapycbcsbank/bin/pycbc_page_coincinfo
page_snglinfo = /home/ian.harry/.conda/envs/thapycbcsbank/bin/pycbc_page_snglinfo
plot_trigger_timeseries = /home/ian.harry/.conda/envs/thapycbcsbank/bin/pycbc_plot_trigger_timeseries
single_template_plot = /home/ian.harry/.conda/envs/thapycbcsbank/bin/pycbc_single_template_plot
single_template = /home/ian.harry/.conda/envs/thapycbcsbank/bin/pycbc_single_template
plot_singles_timefreq = /home/ian.harry/.conda/envs/thapycbcsbank/bin/pycbc_plot_singles_timefreq
plot_snrratehist = /home/ian.harry/.conda/envs/thapycbcsbank/bin/pycbc_page_snrratehist
plot_waveform = /home/ian.harry/.conda/envs/thapycbcsbank/bin/pycbc_plot_waveform

[pegasus_profile]
condor|+InitialRequestMemory = 1000
condor|request_disk = 1000M
condor|accounting_group = ligo.dev.o4.cbc.bbh.pycbcoffline
pycbc|primary_site = condorpool_symlink
condor|request_memory = ifthenelse( (LastHoldReasonCode=!=21 && LastHoldReasonCode=!=26 && LastHoldReasonCode=!=34), InitialRequestMemory, int(1.5 * MemoryUsage) )
condor|periodic_release = ((HoldReasonCode =?= 21) || (HoldReasonCode =?= 26) || (HoldReasonCode =?= 34))

[pegasus_profile-calculate_psd]
condor|request_disk = 10000M

[pegasus_profile-inspiral]
condor|request_disk = 1000M
condor|periodic_hold = (JobStatus == 2) && ((CurrentTime - EnteredCurrentStatus) > (2 * 86400))
condor|periodic_release = ((HoldReasonCode =?= 21) || (HoldReasonCode =?= 26)) || (HoldReasonCode =?= 34) || ((JobStatus == 5) && (HoldReasonCode == 3) && (NumJobStarts < 5) && ((CurrentTime - EnteredCurrentStatus) > (300)))
condor|periodic_remove = (NumJobStarts >= 5)

[pegasus_profile-hdf_trigger_merge]
condor|request_disk = 10000M

[pegasus_profile-combine_statmap]
condor|request_disk = 1000M

[pegasus_profile-coinc]
condor|+InitialRequestMemory = 10000

[workflow-injections]
injections-method = PREGENERATED
strip-injections = 
compute-optimal-snr = 

[strip_injections]

[optimal_snr]
snr-columns = H1:optimal_snr_H1 L1:optimal_snr_L1
f-low = 30
seg-length = 512
sample-rate = 2048
cores = 1

[inj_cut]
snr-columns = H1:optimal_snr_H1 L1:optimal_snr_L1
snr-threshold = 3.0

[injections]
i-distr = uniform
l-distr = random
time-interval = 25
time-step = 50

[workflow-injections-nsbh_full]
injections-pregenerated-file = HL-INJECTIONS_NSBH_FULL-1242484974-676544.xml

[injections-nsbh_full]

[workflow-injections-nsbh_highspin]
injections-pregenerated-file = HL-INJECTIONS_NSBH_HIGHSPIN-1242484974-676544.xml

[injections-nsbh_highspin]

[workflow-injections-nsbh_highkappa]
injections-pregenerated-file = HL-INJECTIONS_NSBH_HIGHKAPPA-1242484974-676544.xml

[injections-nsbh_highkappa]

[workflow-injections-nsbh_highboth]
injections-pregenerated-file = HL-INJECTIONS_NSBH_HIGHBOTH-1242484974-676544.xml

[injections-nsbh_highboth]

[single_template-h1]
channel-name = H1:DCS-CALIB_STRAIN_CLEAN_SUB60HZ_C01
frame-type = H1_HOFT_CLEAN_SUB60HZ_C01

[plot_singles_timefreq-h1]
channel-name = H1:DCS-CALIB_STRAIN_CLEAN_SUB60HZ_C01
frame-type = H1_HOFT_CLEAN_SUB60HZ_C01

[plot_qscan-h1]
channel-name = H1:DCS-CALIB_STRAIN_CLEAN_SUB60HZ_C01
frame-type = H1_HOFT_CLEAN_SUB60HZ_C01

[inspiral-h1]
channel-name = H1:DCS-CALIB_STRAIN_CLEAN_SUB60HZ_C01

[calculate_psd-h1]
channel-name = H1:DCS-CALIB_STRAIN_CLEAN_SUB60HZ_C01

[single_template-l1]
channel-name = L1:DCS-CALIB_STRAIN_CLEAN_SUB60HZ_C01
frame-type = L1_HOFT_CLEAN_SUB60HZ_C01

[plot_singles_timefreq-l1]
channel-name = L1:DCS-CALIB_STRAIN_CLEAN_SUB60HZ_C01
frame-type = L1_HOFT_CLEAN_SUB60HZ_C01

[plot_qscan-l1]
channel-name = L1:DCS-CALIB_STRAIN_CLEAN_SUB60HZ_C01
frame-type = L1_HOFT_CLEAN_SUB60HZ_C01

[inspiral-l1]
channel-name = L1:DCS-CALIB_STRAIN_CLEAN_SUB60HZ_C01

[calculate_psd-l1]
channel-name = L1:DCS-CALIB_STRAIN_CLEAN_SUB60HZ_C01

[coinc-fullinj]
timeslide-interval = 0.1
cluster-window = 10.0
loudest-keep-values = [15.0:9999999999999]

[coinc-injfull]
timeslide-interval = 0.1
cluster-window = 10.0
loudest-keep-values = [15.0:9999999999999]

[statmap_inj]
veto-window = 0.0001
cluster-window = 10.0

[plot_sensitivity-all_mchirp]
bin-type = mchirp
bins = 10 20 100
sig-type = ifar

[plot_sensitivity-summary_mchirp]
bin-type = mchirp
bins = 10 20 100
sig-type = ifar

[plot_sensitivity-all_mchirpvt]
bin-type = mchirp
bins = 10 20 100
dist-type = vt
sig-type = ifar
log-dist = 

[plot_sensitivity-summary_mchirpvt]
bin-type = mchirp
bins = 10 20 100
dist-type = vt
sig-type = ifar
log-dist = 

[plot_foundmissed-sub_mchirp_grad]
distance-type = decisive_optimal_snr
axis-type = mchirp
log-x = 
log-distance = 
gradient-far = 

[plot_foundmissed-all_mchirp_grad]
distance-type = decisive_optimal_snr
axis-type = mchirp
log-x = 
log-distance = 
gradient-far = 

[plot_foundmissed-summary]
distance-type = decisive_optimal_snr
axis-type = mchirp
log-x = 
log-distance = 
gradient-far = 

[plot_foundmissed-sub_mchirp_gradm]
distance-type = decisive_optimal_snr
axis-type = mchirp
log-x = 
log-distance = 
gradient-far = 
missed-on-top = 

[plot_foundmissed-all_mchirp_gradm]
distance-type = decisive_optimal_snr
axis-type = mchirp
log-x = 
log-distance = 
gradient-far = 
missed-on-top = 

[plot_foundmissed-summarym]
distance-type = decisive_optimal_snr
axis-type = mchirp
log-x = 
log-distance = 
gradient-far = 
missed-on-top =