1 citations · 1 across the 4 of their papers we have counts for
9 papers
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-…
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…
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.…
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…
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…
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…