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Measuring the rate of glitches in interferometric gravitational wave detectors with a hierarchical Bayesian model
Gregory Ashton, Colm Talbot, Andrew Lundgren +2
Ground-based gravitational wave detectors are now routinely surveying the dark Universe, finding hundreds of collisions between compact objects. However, terrestrial non-Gaussian n…
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-…
Progress toward the detection of the gravitational-wave background from stellar-mass binary black holes: a mock data challenge
Xiao-Xiao Kou, Muhammed Saleem, Vuk Mandic +2
While the third LIGO--Virgo gravitational-wave transient catalog includes 90 signals, it is believed that binary black holes merge somewhere in the Universe every…
Better early than never: A new test for superluminal gravitational wave polarizations
Kristen Schumacher, Colm Talbot, Daniel E. Holz +1
In some beyond-Einstein theories of gravity, gravitational waves can contain up to six polarizations, which are allowed to propagate at different speeds faster than light. These di…
Accelerated parameter estimation in Bilby with relative binning
Kruthi Krishna, Aditya Vijaykumar, Apratim Ganguly +5
We describe an implementation of the relative binning technique to speed up parameter estimation of gravitational-wave signals. We first give a pedagogical overview of relative bin…
Rapid localization and inference on compact binary coalescences with the Advanced LIGO-Virgo-KAGRA gravitational-wave detector network
Soichiro Morisaki, Rory Smith, Leo Tsukada +4
We present a rapid parameter estimation framework for compact binary coalescence (CBC) signals observed by the LIGO-Virgo-KAGRA (LVK) detector network. The goal of our framework is…