From the 1 of 17 linked papers with an AI index.
17 papers
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…
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…
Probing the redshift evolution and sub-populations of binary neutron stars with the Einstein Telescope
Alexandre Toubiana, Irina Dvorkin
The formation channels of binary neutron stars (BNSs) currently remain uncertain, but important information can be gathered by observing their mergers with gravitational-wave detec…
Population-level correlations in Bayesian statistics: an illustrative model for gravitational-wave astronomy
Caroline B. Owen, Alexandre Toubiana, Davide Gerosa
With increasingly large numbers of gravitational-wave events, population inference is now beginning to move beyond predictions of marginal distributions and to probe correlations b…
Reversible-jump MCMC reveals binary black hole subpopulations with distinct redshift evolution
April Qiu Cheng, Alexandre Toubiana, Sylvia Biscoveanu +1
Analyses of the growing catalog of binary black hole (BBH) mergers observed by the LIGO-Virgo-KAGRA detectors are beginning to resolve features in their population-level mass, spin…
Inferring the population properties of galactic binaries from LISA's stochastic foreground
Federico De Santi, Alessandro Santini, Alexandre Toubiana +2
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 und…