PyCBC Live O3 Review

Review items for PyCBC Live analysis in O3

Show that the analysis is stable on online data and has the accepted latency

Procedure: let the pipeline run on commissioning/ER14 data and monitor the duty factor and the lag, making sure all combinations of detectors are explored.

Contact:

Show that it produces false alarms at the expected rate

Procedure: plot the rate of triggers vs their FAR after running on real data (possibly from the first item).

Contact:

Show that triggers can be uploaded to GraceDB and that BAYESTAR can create skymaps

Procedure: using either offline data or commissioning/ER data, wait for triggers to be uploaded (with all possible ifo combinations) and run BAYESTAR on them.

Contact:

Show that the sensitivity computed with injections is comparable to some reference

Reference could be the O2 PyCBC Live configuration, or O3 offline search.

Procedure: TBD. Reuse the data/scripts for the O2 review?

Contact:

Show that the sensitivity increases with 3 detectors compared to 2

Optional?

Procedure: repeat the analysis done on step 4 with a different combination of detectors.

Contact:

Agree on configuration choices

• Pregated/ungated strain
• State/DQ channels and flags
• SNR threshold, NewSNR threshold, GraceDB upload threshold
• Choice of ranking statistic

Show effectualness of template bank with most up to date PSDs

Procedure: banksim

Contact: