10 citations · 21 across the 8 of their papers we have counts for
8 papers
Gravitational-wave astronomy requires population-informed parameter estimation
Matthew Mould, Rodrigo Tenorio, Davide Gerosa
Gravitational-wave events are interpreted in terms of Bayesian posteriors for their source properties inferred under unphysical reference priors. Though these parameter estimates a…
Accurate and efficient simulation-based inference for massive black-hole binaries with LISA
Alice Spadaro, Jonathan Gair, Davide Gerosa +7
We develop an accurate simulation-based inference framework for high-mass () black-hole binaries observable by LISA. The method is implemented within th…
Exceptionality of exceptional gravitational-wave events
Rodrigo Tenorio, Davide Gerosa
In gravitational-wave astronomy, as in other scientific disciplines, ``exceptional'' sources attract considerable interest because they challenge our current understanding of the u…
Ab uno disce omnes: Single-harmonic search for extreme mass-ratio inspirals
Lorenzo Speri, Rodrigo Tenorio, Christian Chapman-Bird +1
Extreme mass-ratio inspirals (EMRIs) are one of the key sources of gravitational waves for space-based detectors such as LISA. However, their detection remains a major data analysi…
Where did Heavy Binaries Go? Gravitational-wave Populations Using Delaunay Triangulation with Optimized Complexity
Rodrigo Tenorio, Alexandre Toubiana, Tristan Bruel +2
We investigate the joint mass-redshift evolution of the binary black-hole merger rate in the latest Gravitational-Wave Transient Catalog, GWTC-4.0. We present and apply a novel non…
Learning to detect continuous gravitational waves: an open data-analysis competition
Rodrigo Tenorio, Michael J. Williams, Joseph Bayley +29
We report results of a public data-analysis challenge, hosted on the open data-science platform Kaggle, to detect simulated continuous gravitational-wave signals (CWs). These are w…
Comparing astrophysical models to gravitational-wave data in the observable space
Alexandre Toubiana, Davide Gerosa, Matthew Mould +9
Comparing population-synthesis models to the results of hierarchical Bayesian inference in gravitational-wave astronomy requires a careful understanding of the domain of validity o…
Scalable data-analysis framework for long-duration gravitational waves from compact binaries using short Fourier transforms
Rodrigo Tenorio, Davide Gerosa
We introduce a framework based on short Fourier transforms (SFTs) to analyze long-duration gravitational wave signals from compact binaries. Targeted systems include binary neutron…