36 papers
A story about a tipsy kangaroo: Reversible jump MCMC for model selection in the analysis of gravitational-wave signals from the coalescence of compact objects
Anna Puecher, Tim Dietrich, Hauke Koehn +4
Bayesian inference is commonly employed in the analysis of gravitational-wave signals not only to estimate the source parameters, but also for model selection. The latter provides…
A framework for LISA population inference
Alexandre Toubiana, Jonathan Gair
The paper introduces a hierarchical Bayesian framework to infer astrophysical population properties directly from LISA's Global Fit, incorporating both resolved sources and unresol…
All-sky, all-frequency directional search for persistent gravitational-waves from Advanced LIGO's and Advanced Virgo's first three observing runs
The LIGO Scientific Collaboration, the Virgo Collaboration, the KAGRA Collaboration +1627
We present the first results from an all-sky all-frequency (ASAF) search for an anisotropic stochastic gravitational-wave background using the data from the first three observing r…
Eccentricity constraints disfavor single-single capture in nuclear star clusters as the origin of all LIGO-Virgo-KAGRA binary black holes
Nihar Gupte, M. Coleman Miller, Rhiannon Udall +12
Multiple formation pathways have been proposed for the origin of binary black holes (BBHs). These include isolated binary evolution and dynamical assembly in dense stellar environm…
Flexible Gravitational-Wave Parameter Estimation with Transformers
Annalena Kofler, Maximilian Dax, Stephen R. Green +6
Gravitational-wave data analysis relies on accurate and efficient methods to extract physical information from noisy detector signals, yet the increasing rate and complexity of obs…
Gotta light? Illuminating AGN disks with LISA EMRIs
Federico Fantoccoli, Francisco Duque, Jonathan Gair
We study the ability of the upcoming Laser Interferometer Space Antenna (LISA) to constrain gas torques acting on extreme-mass-ratio inspirals (EMRIs) when these are embedded in ac…