activity
20242026
most citedIncorporation of model accuracy in gravitational wave Bayesian inference

15 citations · 33 across the 8 of their papers we have counts for

collaborators

9 papers

gr-qc2026

Establishing Compactness as a Population Observable in Gravitational-Wave Astronomy

Shrobana Ghosh, Charlie Hoy, Mark Hannam +1

Classically, black holes (BHs) are the most compact objects predicted in nature with C=0.5 in the Schwarzschild limit; C is defined as the mass-to-radius ratio in geometric units.…

gr-qc2026

Compactness Inference in Gravitational-Wave Mergers with PhenomDECO: Catalog Benchmarks and Robustness Diagnostics

Shrobana Ghosh, Charlie Hoy, Mark Hannam +1

Several gravitational wave (GW) observations have been identified as binary black hole (BBH) mergers, including systems with component masses that challenge typical formation scena…

gr-qc2026

A parametric signal plus noise inference framework for short duration non-Gaussian noise transients

Charlie Hoy, Ruxandra Bondarescu, Andrew Lundgren +1

Gravitational waves are now routinely detected with ground-based observatories, and, through a process known as Bayesian inference, their source properties are inferred. However, t…

astro-ph.CO2025★ 1 cited

The impact of precession and higher-order multipoles for gravitational wave cosmological inference

Charlie Hoy, Konstantin Leyde

Gravitational-wave astronomy presents an exciting opportunity to provide an independent measurement of the expansion rate of the Universe. By combining inferences for the binary co…

gr-qc2025

Inference with finite time series II: the window strikes back

Colm Talbot, Sylvia Biscoveanu, Aaron Zimmerman +9

Smooth window functions are often applied to strain data when inferring the parameters describing the astrophysical sources of gravitational-wave transients. Within the LIGO-Virgo-…

gr-qc2025

On the use and interpretation of signal-model indistinguishability measures for gravitational-wave astronomy

Jonathan E. Thompson, Charlie Hoy, Edward Fauchon-Jones +1

The difference ("mismatch") between two gravitational-wave (GW) signals is often used to estimate the signal-to-noise ratio (SNR) at which they will be distinguishable in a measure…

gr-qc2025★ 5 cited

Waging a Campaign: Results from an Injection-Recovery Study involving 35 numerical Relativity Simulations and three Waveform Models

Sarp Akçay, Charlie Hoy, Jake Mac Uilliam

We present Bayesian inference results from an extensive injection-recovery campaign to test the validity of three state of the art quasicircular gravitational waveform models: \tex…

gr-qc2024★ 15 cited

Incorporation of model accuracy in gravitational wave Bayesian inference

Charlie Hoy, Sarp Akcay, Jake Mac Uilliam +1

Inferring the properties of colliding black holes from gravitational-wave observations is subject to systematic errors arising from modelling uncertainties. Although the accuracy o…

gr-qc2024★ 12 cited

Rarity of precession and higher-order multipoles in gravitational waves from merging binary black holes

Charlie Hoy, Stephen Fairhurst, Ilya Mandel

The latest binary black hole population estimates argue for a subpopulation of unequal component mass binaries with spins that are likely small but isotropically distributed. This…