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An order statistics post‐mortem on LIGO–Virgo GWTC‐2 events analyzed with nested sampling

Klinger, Talya and Agathos, Michalis 2022. An order statistics post‐mortem on LIGO–Virgo GWTC‐2 events analyzed with nested sampling. Annalen der Physik 10.1002/andp.202200271

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Abstract

The data analysis carried out by the LIGO–Virgo collaboration on gravitational‐wave events utilizes nested sampling to compute Bayesian evidences and posterior distributions for inferring the source properties of compact binaries. With poor sampling from the constrained prior, nested sampling algorithms may misbehave and fail to sample the posterior distribution faithfully. Fowlie et al. (2020) outlines a method of validating the performance of nested sampling, or identifying pathologies such as plateaus in the parameter space, using likelihood insertion order statistics. Here, this method is applied to nested sampling analyses of all events in the first and second gravitational wave transient catalogs (GWTC‐1 and GWTC‐2) of the LIGO–Virgo collaboration. The insertion order statistics are tested for uniformity across 45 events in the catalog and it is found that, with a few exceptions that have negligible effect on the final posteriors, the data from the analysis of events in the catalog is consistent with unbiased prior sampling. There is, however, weak evidence against uniformity at the catalog‐level meta‐test, yielding a Kolmogorov–Smirnov meta‐p‐value of 1.44 × 10 − 3 $1.44\times 10^{-3}$ .

Item Type: Article
Date Type: Published Online
Status: In Press
Schools: Physics and Astronomy
Additional Information: License information from Publisher: LICENSE 1: URL: http://creativecommons.org/licenses/by/4.0/
Publisher: Wiley
ISSN: 0003-3804
Date of First Compliant Deposit: 30 August 2022
Last Modified: 30 Aug 2022 10:45
URI: https://orca.cardiff.ac.uk/id/eprint/152203

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