gstlal_inspiral_marginalize_likelihood

A program to marginalize the likelihood pdfs in noise across mass bins for a gstlal inspiral analysis.

Review status

Names	Hash	Date
Florent, Jolien, Kipp, Chad	1dbbbd963c9dc076e1f7f5f659f936e44005f33b	2015-05-14

Command line options

Usage: gstlal_inspiral_marginalize_likelihood [options]

Options:
  -h, --help            show this help message and exit
  --ignore-missing      Ignore and skip missing input documents.
  --marginalize={ranking-stat|ranking-stat-pdf}
                        Set which set of PDFs to marginalize, the ranking
                        statistics themselves, or the distributions of ranking
                        statistic values (default: ranking-stat).
  --density-estimate-zero-lag
                        Apply density estimation algorithm to zero-lag PDFs
                        (default: do not).  Requires --marginalize=ranking-
                        stat-pdf.  In the online analysis, the ingested zero-
                        lag histograms contain raw bin counts, but the
                        consumer of this program's output requires the PDFs to
                        be properly density-estimated, so we provide the
                        option of performing that operation here as a
                        courtesy.  This will probably work differently one
                        day.
  -o filename, --output=filename
                        Set the output file name (default = write to stdout).
  --likelihood-cache=filename
                        Set the cache file name from which to read likelihood
                        files.
  --verbose             Be verbose.