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Bilby: A user-friendly Bayesian inference library for gravitational-wave astronomy
Gregory Ashton, Moritz Huebner, Paul D. Lasky +18
Bayesian parameter estimation is fast becoming the language of gravitational-wave astronomy. It is the method by which gravitational-wave data is used to infer the sources' astroph…
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…
Gravitational-wave memory: waveforms and phenomenology
Colm Talbot, Eric Thrane, Paul D. Lasky +1
The non-linear gravitational-wave memory effect is a prediction of general relativity in which test masses are permanently displaced by gravitational radiation. We implement a meth…
Rotational variation of the linear polarisation of the asteroid (3200) Phaethon as evidence for inhomogeneity in its surface properties
G. Borisov, M. Devogèle, A. Cellino +23
Asteroid (3200) Phaethon is a Near-Earth Apollo asteroid with an unusual orbit that brings it closer to the Sun than any other known asteroid. Its last close approach to the Earth…
Measuring eccentricity in binary black hole inspirals with gravitational waves
Marcus E. Lower, Eric Thrane, Paul D. Lasky +1
When binary black holes form in the field, it is expected that their orbits typically circularize before coalescence. In galactic nuclei and globular clusters, binary black holes c…
The minimum and maximum gravitational-wave background from supermassive binary black holes
Xing-Jiang Zhu, Weiguang Cui, Eric Thrane
The gravitational-wave background from supermassive binary black holes (SMBBHs) has yet to be detected. This has led to speculations as to whether current pulsar timing array limit…