Impact of Bayesian Priors on the Characterization of Binary Black Hole Coalescences
Author(s)
Gerosa, Davide; Haster, Carl-Johan; Chatziioannou, Katerina; Zimmerman, Aaron; Vitale, Salvatore
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In a regime where data are only mildly informative, prior choices can play a significant role in Bayesian statistical inference, potentially affecting the inferred physics. We show this is indeed the case for some of the parameters inferred from current gravitational-wave measurements of binary black hole coalescences. We reanalyze the first detections performed by the twin LIGO interferometers using alternative (and astrophysically motivated) prior assumptions. We find different prior distributions can introduce deviations in the resulting posteriors that impact the physical interpretation of these systems. For instance, (i) limits on the 90% credible interval on the effective black hole spin χ[subscript eff] are subject to variations of ∼10% if a prior with black hole spins mostly aligned to the binary’s angular momentum is considered instead of the standard choice of isotropic spin directions, and (ii) under priors motivated by the initial stellar mass function, we infer tighter constraints on the black hole masses, and in particular, we find no support for any of the inferred masses within the putative mass gap M≲5 M[subscript ⊙].
Date issued
2017-12Department
Massachusetts Institute of Technology. Department of Physics; LIGO (Observatory : Massachusetts Institute of Technology)Journal
Physical Review Letters
Publisher
American Physical Society
Citation
Vitale, Salvatore, et al. “Impact of Bayesian Priors on the Characterization of Binary Black Hole Coalescences.” Physical Review Letters, vol. 119, no. 25, Dec. 2017. © 2017 American Physical Society
Version: Final published version
ISSN
0031-9007
1079-7114