- define a stand-alone method to implement the ranking statistic's
  fast-path cut, and use that method for both the cut itself *and* the
  coinc sieve passed to thinca to ensure the two are always identical.
- this is the first step in making this cut much *MUCH* more agressive.

chad.hanna authored 6 years ago and Kipp Cannon committed 6 years ago

- add option to cluster after coincidence. Note the biggest SNR and biggest LR (if available) trigger is kept
- fix bug in max over lr and snr
- optionally limit the far of single candidates by live time for online analysis
- make online 'clustering' before LR computation
- fix clustering

Patrick Godwin authored 6 years ago and Kipp Cannon committed 6 years ago

consolidate DAG classes from inspiral_pipe.py + dagparts.py (e.g. generic_node) into dagparts.py, move non-specific inspiral functions from inspiral_pipe.py to dagparts.py, changes reflected in several dag generation execs

Chad Hanna authored 6 years ago and Kipp Cannon committed 6 years ago

gstlal_inspiral, gstlal_inspiral_create_prior_diststats, far.py, inspiral_lr.py, svd_bank.py: add support for per template corrections to the horizon distance used in the likelihood ratio using the sigma values computed during the SVD decomposition