1 citations · 1 across the 2 of their papers we have counts for
4 papers
Noisy pipelines II: Non-parametric Noise Inference for LISA
Charlie Hoy, Joseph Bayley, Ollie Burke +1
The Laser Interferometer Space Antenna (LISA) is expected to observe gravitational-wave signals from massive black hole binaries, extreme mass ratio inspirals, and more. Despite th…
Noisy Pipelines I: An end-to-end pipeline to perform multivariate noise inference for LISA
Ollie Burke, Joseph Bayley, Charlie Hoy +1
Instrumental data from the Laser Interferometer Space Antenna (LISA) must be post-processed prior to any global-fit based analysis. For example, it is critical to filter, downsampl…
Learning to detect continuous gravitational waves: an open data-analysis competition
Rodrigo Tenorio, Michael J. Williams, Joseph Bayley +29
We report results of a public data-analysis challenge, hosted on the open data-science platform Kaggle, to detect simulated continuous gravitational-wave signals (CWs). These are w…
Use of Bayesian Inference to Diagnose Issues in Experimental Measurements of Mechanical Disk Resonators
Simon C. Tait, Michael J. Williams, Joseph Bayley +2
Gravitational wave detectors, such as LIGO, are predominantly limited by coating Brownian thermal noise (CTN), arising from mechanical losses in the Bragg mirror coatings used on t…