Is the Binary Black Hole Population Inference from Gravitational-Wave Data Robust?

Fuente: arXiv
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Main Authors: Das, Upasana, Mukherjee, Suvodip
Format: Preprint
Published: 2026
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author Das, Upasana
Mukherjee, Suvodip
author_facet Das, Upasana
Mukherjee, Suvodip
contents Gravitational-wave observations are playing an instrumental role in understanding the population of binary compact objects in the Universe. These observations have begun to hint at the mass distribution of binary black holes (BBHs), with tentative evidence for features in the mass distribution beyond a simple power-law. Such features, hence, can be connected with different formation scenarios of BBHs and lead to important astrophysical conclusions. However, it is crucial to understand whether these features are truly astrophysical or connected with any unknown systematics. We show in this work that waveform modelling uncertainties can significantly distort inferred features in the BBH mass distribution, which can be more pronounced than the statistical uncertainty, even with the current generation detectors, which can peak close to the lower edge of the pair instability supernovae (PISN) mass gap, and also can impact the slope of the power-law distribution. So, in order to have a confirmed detection of astrophysical features in the BBH mass distribution and connecting them with BBH formation channels, it is important to consider waveform systematics in the astrophysical population analysis. We show the typical scaling of the systematic error and discuss a few avenues to mitigate this effect for robust measurements in the future.
format Preprint
id arxiv_https___arxiv_org_abs_2605_16510
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Is the Binary Black Hole Population Inference from Gravitational-Wave Data Robust?
Das, Upasana
Mukherjee, Suvodip
High Energy Astrophysical Phenomena
Cosmology and Nongalactic Astrophysics
General Relativity and Quantum Cosmology
Gravitational-wave observations are playing an instrumental role in understanding the population of binary compact objects in the Universe. These observations have begun to hint at the mass distribution of binary black holes (BBHs), with tentative evidence for features in the mass distribution beyond a simple power-law. Such features, hence, can be connected with different formation scenarios of BBHs and lead to important astrophysical conclusions. However, it is crucial to understand whether these features are truly astrophysical or connected with any unknown systematics. We show in this work that waveform modelling uncertainties can significantly distort inferred features in the BBH mass distribution, which can be more pronounced than the statistical uncertainty, even with the current generation detectors, which can peak close to the lower edge of the pair instability supernovae (PISN) mass gap, and also can impact the slope of the power-law distribution. So, in order to have a confirmed detection of astrophysical features in the BBH mass distribution and connecting them with BBH formation channels, it is important to consider waveform systematics in the astrophysical population analysis. We show the typical scaling of the systematic error and discuss a few avenues to mitigate this effect for robust measurements in the future.
title Is the Binary Black Hole Population Inference from Gravitational-Wave Data Robust?
topic High Energy Astrophysical Phenomena
Cosmology and Nongalactic Astrophysics
General Relativity and Quantum Cosmology
url https://arxiv.org/abs/2605.16510