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Comparing population-synthesis models to the results of hierarchical Bayesian inference in gravitational-wave astronomy requires a careful understanding of the domain of validity of the models fitted to data. This comparison is usually done…

We characterize the expected statistical errors with which the parameters of black-hole binaries can be measured from gravitational-wave (GW) observations of their inspiral, merger and ringdown by a network of second-generation ground-based…

广义相对论与量子宇宙学 · 物理学 2016-12-07 Archisman Ghosh , Walter Del Pozzo , Parameswaran Ajith

The rapidly expanding Gravitational-Wave Transient Catalog (GWTC) necessitates the development of model-independent techniques to uncover trends and subpopulations within the binary black hole (BBH) population. We present the first usage of…

高能天体物理现象 · 物理学 2026-03-09 A. J. Amsellem , I. Magaña Hernandez , A. Palmese , J. Gassert

We use a population synthesis approach to characterise, as a function of cosmic time, the extragalactic close binary population descended from stars of low to intermediate initial mass. The unresolved gravitational wave (GW) background due…

天体物理学 · 物理学 2008-11-26 Alison J. Farmer , E. S. Phinney

The population of compact binaries encodes information about their astrophysical origins and the expansion of the universe. Hierarchical Bayesian methods infer these properties by combining single-event posteriors. As catalogs grow,…

广义相对论与量子宇宙学 · 物理学 2026-05-13 Konstantin Leyde , Stephen R. Green , Maximilian Dax , Matthew Mould , Cecilia Maria Fabbri , Jonathan Gair

The eccentricity of binary black-hole mergers is predicted to be an indicator of the history of their formation. In particular, eccentricity is a strong signature of dynamical formation rather than formation by stellar evolution in isolated…

高能天体物理现象 · 物理学 2023-11-14 Eamonn O'Shea , Prayush Kumar

Gravitational-wave detections have revealed a previously unknown population of stellar mass black holes with masses above $20\, M_{\odot}$. These observations provide a new way to test models of stellar evolution for massive stars. By…

高能天体物理现象 · 物理学 2018-04-25 Colm Talbot , Eric Thrane

Pair-instability supernovae leave behind no compact remnants, resulting in a predicted gap in the distribution of stellar black-hole masses. Gravitational waves from binary black-hole mergers probe the relevant mass range and analyses of…

高能天体物理现象 · 物理学 2026-05-12 Matthew Mould , Jack Heinzel , Sofia Alvarez-Lopez , Cailin Plunkett , Noah E. Wolfe , Salvatore Vitale

Galactic binaries are expected to be the most numerous LISA sources and to produce a stochastic gravitational-wave foreground whose spectral shape encodes information about the underlying population. Extracting this information with…

高能天体物理现象 · 物理学 2026-05-12 Federico De Santi , Alessandro Santini , Alexandre Toubiana , Nikolaos Karnesis , Davide Gerosa

Gravitational wave detections offer insights into the astrophysical populations of black holes in the universe and their formation processes. Detections of binaries consisting of black holes lying outside the bulk distribution of the…

广义相对论与量子宇宙学 · 物理学 2023-06-12 Yumeng Xu , Eleanor Hamilton

Understanding the astrophysical origins of binary black holes requires accurate and flexible modeling of multi-dimensional population properties. In this paper, using a data-driven framework based on binned Gaussian processes, we…

高能天体物理现象 · 物理学 2025-12-01 Omkar Sridhar , Anarya Ray , Vicky Kalogera

An algorithm is described for evolving the phase-space density of stars or compact objects around a massive black hole at the center of a galaxy. The technique is based on numerical integration of the Fokker-Planck equation in…

星系天体物理 · 物理学 2016-03-01 David Merritt

We report on advances to interpret current and future gravitational-wave events in light of astrophysical simulations. A machine-learning emulator is trained on numerical population-synthesis predictions and inserted into a Bayesian…

高能天体物理现象 · 物理学 2019-10-30 Kaze W. K. Wong , Davide Gerosa

With several dozen binary black hole events detected by LIGO/Virgo to date and many more expected in the next few years, gravitational-wave astronomy is shifting from individual-event analyses to population studies. Using the GWTC-2…

Folding uncertainty in theoretical models into Bayesian parameter estimation is necessary in order to make reliable inferences. A general means of achieving this is by marginalizing over model uncertainty using a prior distribution…

广义相对论与量子宇宙学 · 物理学 2016-03-04 Christopher J. Moore , Christopher P. L. Berry , Alvin J. K. Chua , Jonathan R. Gair

Population synthesis simulations of compact binary coalescences~(CBCs) play a crucial role in extracting astrophysical insights from an ensemble of gravitational wave~(GW) observations. However, realistic simulations can be costly to…

高能天体物理现象 · 物理学 2025-09-04 Anarya Ray

Observations of gravitational waves (GWs) from merging compact binaries have become a regular occurrence. The continued advancement of the LIGO-Virgo-KAGRA (LVK) Collaboration detectors have now produced a catalog of over 90 such mergers,…

高能天体物理现象 · 物理学 2024-04-01 Jaxen Godfrey , Bruce Edelman , Ben Farr

The stochastic gravitational wave background from compact binary coalescences is expected to be the first detectable stochastic signal via cross-correlation searches with terrestrial detectors. It encodes the cumulative merger history of…

广义相对论与量子宇宙学 · 物理学 2026-02-17 Michael Ebersold , Tania Regimbau

Attempts to understand the formation of binary black hole (BBH) systems detected via gravitational wave (GW) emission are affected by many unknowns and uncertainties, from both the observational and theoretical (astrophysical modelling)…

高能天体物理现象 · 物理学 2025-12-18 Jam Sadiq , Thomas Dent , Ana Lorenzo-Medina

The population of the observed gravitational wave events encodes unique information on the formation and evolution of stellar-mass black holes, from the underlying astrophysical processes to the large-scale dynamics of the Universe. We use…

广义相对论与量子宇宙学 · 物理学 2025-03-03 Vasco Gennari , Simone Mastrogiovanni , Nicola Tamanini , Sylvain Marsat , Grégoire Pierra