1.4k citations · 2.5k across the 32 of their papers we have counts for
9 papers · 1 filter
Escaping Neal's Funnel: a multi-stage sampling method for hierarchical models
Aiden Gundersen, Neil J. Cornish
Neal's funnel refers to an exponential tapering in probability densities common to Bayesian hierarchical models. Usual sampling methods, such as Markov Chain Monte Carlo, struggle…
Inferring Mbh-Mbulge Evolution from the Gravitational Wave Background
Cayenne Matt, Kayhan Gultekin, Luke Kelley +104
We test the impact of an evolving supermassive black hole (SMBH) mass scaling relation (Mbh-Mbulge) on the predictions for the gravitational wave background (GWB). The observed GWB…
The NANOGrav 15 yr Data Set: Targeted Searches for Supermassive Black Hole Binaries
Nikita Agarwal, Gabriella Agazie, Akash Anumarlapudi +116
We present the first targeted searches for continuous gravitational waves (CWs) from 114 active galactic nuclei (AGN) that may host supermassive black hole binaries, using the NANO…
MaxWave: Rapid maximum likelihood wavelet reconstruction of non-Gaussian features in gravitational wave data
Sudhi Mathur, Neil J. Cornish
Advancements in the sensitivity of gravitational wave detectors have increased the detection rate of transient astrophysical signals. We improve the existing BayesWave initializati…
TDI on the fly
Neil J. Cornish, Tyson Littenberg
Space-based gravitational wave (GW) observatories, such as the future Laser Interferometer Space Antenna (LISA), employ synthetic Time Delay Interferometry (TDI) to cancel the othe…
Uncertainty-aware waveform modeling for high signal-to-noise ratio gravitational-wave inference
Simone Mezzasoma, Carl-Johan Haster, Caroline B. Owen +2
Semi-analytical waveform models for black hole binaries require calibration against numerical relativity waveforms to accurately represent the late inspiral and merger, where analy…