Kavli Affiliate: Daniel E. Holz
| First 5 Authors: Reed Essick, Daniel E. Holz, , ,
| Summary:
We explore scaling relations for the information carried by individual
events, and how that information accumulates in catalogs like those from
ground-based gravitational-wave detectors. For a variety of situations, the
larger number of quiet/distant signals dominates the overall information over
the fewer loud/close sources, independent of how many model parameters are
considered. We consider implications for a range of astrophysical scenarios,
including calibration uncertainty and standard siren cosmology. However, the
large number of additional events obtained by lowering the detection threshold
can rapidly increase costs. We introduce a simple analysis that balances the
costs of analyzing increasingly large numbers of low information events against
retaining a higher threshold and running a survey for longer. With the caveat
that precise cost estimates are difficult to determine, current economics favor
analyzing low signal-to-noise ratio events. However, the higher detection rates
expected for next-generation detectors may argue for a higher signal-to-noise
ratio threshold for optimal scientific return.
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