activity
20202026
most citedProspects for Fundamental Physics with LISA

401 citations · 983 across the 36 of their papers we have counts for

collaborators
Showing 2026Show all

6 papers · 1 filter

gr-qc2026

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…

astro-ph.HE2026

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…

astro-ph.GA2026

The LISA Astrophysics MBHcatalogues Project: A comparison of predictions of simulated massive black hole binaries

David Izquierdo-Villalba, Melanie Habouzit, Matteo Bonetti +67

In the hierarchical paradigm of galaxy formation, central massive black holes (MBHs) are expected to coalesce after the merger of their host galaxies. One of the main goals of the…

astro-ph.HE2026

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…

astro-ph.HE2026★ 1 cited

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…

gr-qc2026

A framework for LISA population inference

Alexandre Toubiana, Jonathan Gair

The Laser Interferometer Space Antenna (LISA) is expected to have a source rich data stream containing signals from large numbers of many different types of source. This will inclu…