9 citations · 12 across the 5 of their papers we have counts for
5 papers
Reconstructing Core-Collapse Supernova Gravitational-Wave Signals with Transdimensional Bayesian Inference
Hayden Chapman, Jade Powell, Nir Guttman +2
Core-collapse supernovae (CCSNe) are promising future sources of gravitational waves for current and next-generation observatories. Reconstructing CCSN gravitational-wave signals i…
Dedicated-frequency analysis of gravitational-wave bursts from core-collapse supernovae with minimal assumptions
Yi Shuen C. Lee, Marek J Szczepańczyk, Tanmaya Mishra +2
Gravitational-wave (GW) emissions from core-collapse supernovae (CCSNe) provide insights into the internal processes leading up to their explosions. Theory predicts that CCSN explo…
Multi-detector characterization of gravitational-wave burst tensor polarizations with the BayesWave algorithm
Yi Shuen C. Lee, Siddhant Doshi, Margaret Millhouse +1
Einstein's theory of general relativity predicts that gravitational waves (GWs) are tensor-polarized, with two modes of polarization: plus () and cross (). The unmod…
Impact of noise transients on gravitational-wave burst detection efficiency of the BayesWave pipeline with multi-detector networks
Yi Shuen C. Lee, Margaret Millhouse, Andrew Melatos
Detection confidence of the source-agnostic gravitational-wave burst search pipeline BayesWave is quantified by the log signal-versus-glitch Bayes factor, $\ln\mathcal{B}_{\mathcal…
Enhancing gravitational-wave burst detection confidence in expanded detector networks with the BayesWave pipeline
Yi Shuen C. Lee, Margaret Millhouse, Andrew Melatos
The global gravitational-wave detector network achieves higher detection rates, better parameter estimates, and more accurate sky localisation, as the number of detectors, $\mathca…