13 citations · 20 across the 13 of their papers we have counts for
5 papers · 1 filter
A transdimensional sampling framework for pulsar timing noise modelling
Valentina Di Marco, Nir Guttman, Matthew T. Miles +3
A careful characterisation of the noise processes in pulsar timing data is a prerequisite for pulsar timing array experiments. While single-pulsar noise analyses are crucial for bo…
Optimising gravitational-wave sky maps for pulsar timing arrays
Kathrin Grunthal, David J. Champion, Eric Thrane +3
Pulsar timing arrays (PTAs) have recently reported compelling evidence for the presence of a gravitational-wave background signal. Mapping the gravitational-wave background is key…
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…
Modelling noise in gravitational-wave observatories with transdimensional models
Nir Guttman, Paul D. Lasky, Eric Thrane
Modelling noise in gravitational-wave observatories is crucial for accurately inferring the properties of gravitational-wave sources. We introduce a transdimensional Bayesian appro…
You only thermoelastically deform once: Point Absorber Detection in LIGO Test Masses with YOLO
Simon R. Goode, Mitchell Schiworski, Daniel Brown +2
Current and future gravitational-wave observatories rely on large-scale, precision interferometers to detect the gravitational-wave signals. However, microscopic imperfections on t…