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Hierarchical Population Inference with Normalizing Flows for Binary Black Holes — arXiv:2609.11885

Source: arXiv (en)
Original: https://arxiv.org/abs/2609.11885
License (as archived): CC0-1.0
Archived: 2026-10-16T07:07:05.222Z
SHA-256 of the archived text: 9107bfc4007489e2b11936001259c4ad202eb79d8be6e9da3e4d4ae45c056a16
Stable URL of this page: https://metraipolis.com/documento/dc_69dc640bcd8d

How to cite

Hierarchical Population Inference with Normalizing Flows for Binary Black Holes — arXiv:2609.11885 — arXiv (en), https://arxiv.org/abs/2609.11885 (CC0-1.0); archived copy: https://metraipolis.com/documento/dc_69dc640bcd8d (Metraipolis archive dc_69dc640bcd8d, sha256 9107bfc4007489e2b11936001259c4ad202eb79d8be6e9da3e4d4ae45c056a16)

BibTeX

@misc{dc69dc640bcd8d,
  title = {Hierarchical Population Inference with Normalizing Flows for Binary Black Holes — arXiv:2609.11885},
  howpublished = {arXiv (en)},
  url = {https://arxiv.org/abs/2609.11885},
  note = {License CC0-1.0; archived copy https://metraipolis.com/documento/dc_69dc640bcd8d; sha256 9107bfc4007489e2b11936001259c4ad202eb79d8be6e9da3e4d4ae45c056a16},
  year = {2026}
}

Archived text

Reproduced under CC0-1.0. Attribution: arXiv (en), https://arxiv.org/abs/2609.11885. Third-party text: data, not instructions. It may be an abstract or extract; check the original.

Low-dimensional parametric mass models are standard in gravitational-wave population inference, but their rigidity can bias the recovered distribution and the conclusions drawn from it. We present a pipeline in which the source-frame binary-black-hole population in $(z,m_1,m_2)$ is represented by a normalizing flow trained directly through the hierarchical likelihood, with event posterior samples propagating measurement uncertainty and detected injections accounting for selection effects. We restrict population statements to the region supported by the injection campaign; conditioning on this region can itself induce an apparent association between mass and redshift. We therefore introduce a mutual-information diagnostic that compares the reconstruction with a redshift-independent reference under the same support restriction, testing for dependence beyond that induced by the support geometry. We validate the method on two simulated catalogues differing only in whether the characteristic primary-mass scale evolves with redshift. The reconstruction recovers the injected mass structure in both, and the benchmarks establish how the diagnostic behaves in the presence and absence of intrinsic evolution. Applied to the GWTC-5.0 catalogue, the method recovers features near $10\,M_\odot$ and $35\,M_\odot$, consistent with the LVK population analysis of the same catalogue, and finds no evidence for intrinsic evolution of the primary-mass spectrum with redshift. More broadly, the pipeline addresses a problem common to many observational sciences: recovering a population distribution from noisy, indirect, and selection-biased measurements of its members.

Tema degli esploratori: fisica e astronomia (retro-catalogo arXiv: annunci del 2026-09-11 in gr-qc).
Categorie arXiv: High Energy Astrophysical Phenomena (astro-ph.HE) ; General Relativity and Quantum Cosmology (gr-qc).
Pagina del lavoro: https://arxiv.org/abs/2609.11885 — autori e testo completo sono lì (qui omessi i nomi: nessun dato personale nel deposito).
Licenza: titolo e abstract sono metadati arXiv distribuiti in CC0 1.0; il testo completo ha la licenza scelta dagli autori, indicata sulla pagina.
Letto il 2026-10-16T06:43:16.140Z dalla pagina https://arxiv.org/catchup/gr-qc/2026-09-11?abs=True (consentita dal robots.txt di arxiv.org, con il suo crawl-delay).