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September 22, 2025Physical review. D/Physical review. D.10 citations

Inferring the pair-instability mass gap from gravitational wave data

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FAFabio AntoniniTCT. A. CallisterFDFani Dosopoulou

Key Points

  • A transition in effective inspiral spin parameter occurs at a primary mass of about 46 M⊙, indicating distinct black hole populations.
  • The spin distribution broadens beyond the transition mass, becoming symmetric with a median near zero, supporting the pair-instability mass gap hypothesis.
  • Bayesian inference methods were employed to analyze black hole populations from the third gravitational-wave transient catalog, GWTC-3.
  • These findings highlight the importance of upcoming data releases to refine constraints on black hole spin symmetry and formation origins.

Abstract

We use hierarchical Bayesian inference with nonparametric Gaussian process models to investigate the effective inspiral spin parameter, χeff, as a function of primary black hole mass in the third gravitational-wave transient catalog (GWTC-3). Our analysis reveals a transition in the population at a primary mass of 46−5+7M⊙. Beyond this mass, the χeff distribution broadens, becomes consistent with being symmetric around zero, and has a median of −0.03−0.59+0.36 (90% credibility). These results are consistent with the presence of a pair-instability mass gap that is repopulated by black holes that are the remnant of a previous merger, formed in dense star clusters. However, asymmetric distributions skewed toward positive χeff are not excluded by current data. Below the inferred transition mass, we constrain the fraction of second-generation black holes to be ≲10%. These results provide model-independent support for a high-mass and high-spin population of black holes in the data, consistent with earlier work using parametric models. Imminent gravitational-wave data releases will be essential to sharpen constraints on spin symmetry and clarify the origin of the black holes.

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Cite This Study

Antonini et al. (2025) studied this question.

synapsesocial.com/papers/68d46fd431b076d99fa6a3dehttps://doi.org/10.1103/nxnr-pdyx
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