6 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-…
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 such as black holes and neutron star…
The Stochastic Siren: Astrophysical Gravitational-Wave Background Measurements of the Hubble Constant
Bryce Cousins, Kristen Schumacher, Adrian Ka-Wai Chung +4
We report the first measurement of the Hubble constant using the stochastic gravitational-wave background arising from binary black hole mergers. This astrophysical backgroun…
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…
An introduction to Bayesian inference in gravitational-wave astronomy: parameter estimation, model selection, and hierarchical models
Eric Thrane, Colm Talbot
This is an introduction to Bayesian inference with a focus on hierarchical models and hyper-parameters. We write primarily for an audience of Bayesian novices, but we hope to provi…
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…