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Title: Characterizing the Observation Bias in Gravitational-wave Detections and Finding Structured Population Properties
Abstract The observed distributions of the source properties from gravitational-wave (GW) detections are biased due to the selection effects and detection criteria in the detections, analogous to the Malmquist bias. In this work, this observation bias is investigated through its fundamental statistical and physical origins. An efficient semi-analytical formulation for its estimation is derived, which is as accurate as the standard method of numerical simulations, with only a millionth of the computational cost. Then, the estimated bias is used for unmodeled inferences on the binary black hole population. These inferences show additional structures, specifically two peaks in the joint mass distribution around binary masses ∼10 M ⊙ and ∼30 M ⊙ . Example ready-to-use scripts and some produced data sets for this method are shared in an online repository.
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Award ID(s):
1911796 2012035
Publication Date:
Journal Name:
The Astrophysical Journal
Page Range or eLocation-ID:
Sponsoring Org:
National Science Foundation
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