15 citations · 15 across the 2 of their papers we have counts for
5 papers
Bayesian Calibration of Gravitational-Wave Detectors Using Null Streams Without Waveform Assumptions
Isaac C. F. Wong, Francesco Cireddu, Milan Wils +4
We introduce a Bayesian null-stream method to constrain calibration errors in closed-geometry gravitational-wave (GW) detector networks. Unlike prior methods requiring electromagne…
Overlapping signals in next-generation gravitational wave observatories: A recipe for selecting the best parameter estimation technique
Tomasz Baka, Harsh Narola, Justin Janquart +3
Third-generation gravitational wave detectors such as Einstein Telescope and Cosmic Explorer will have significantly better sensitivities than current detectors, as well as a wider…
Multi-messenger Gravitational Lensing
Graham P. Smith, Tessa Baker, Simon Birrer +38
We introduce the rapidly emerging field of multi-messenger gravitational lensing - the discovery and science of gravitationally lensed phenomena in the distant universe through the…
DeepExtractor: Time-domain reconstruction of signals and glitches in gravitational wave data with deep learning
Tom Dooney, Harsh Narola, Stefano Bromuri +4
Gravitational wave (GW) detectors, such as LIGO, Virgo, and KAGRA, detect faint signals from distant astrophysical events. However, their high sensitivity also makes them susceptib…
Null Stream Based Third-generation-ready Glitch Mitigation for Gravitational Wave Measurements
Harsh Narola, Thibeau Wouters, Luca Negri +10
Gravitational Wave (GW) detectors routinely encounter transient noise bursts, known as glitches, which are caused by either instrumental or environmental factors. Due to their high…