1.2k citations · 13.9k across the 206 of their papers we have counts for
48 papers · 1 filter
Not just a phase: detecting nanohertz gravitational waves from phase alone
Kathrin Grunthal, Eric Thrane, Rutger van Haasteren +2
Unambiguously detecting a gravitational-wave background (GWB) in pulsar-timing data requires a robust detection statistic. The pulsar timing community currently relies heavily on t…
: user-friendly neural posterior estimation for gravitational-wave astronomy
Liam Pinchbeck, Eric Thrane, Csaba Balazs +1
Bayesian inference plays a central role in the new field of gravitational-wave astronomy. However, traditional Bayesian inference with stochastic samplers is computationally expens…
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…
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…
The International Pulsar Timing Array checklist for the detection of nanohertz gravitational waves
Bruce Allen, Sanjeev Dhurandhar, Yashwant Gupta +5
Pulsar timing arrays (PTAs) provide a way to detect gravitational waves at nanohertz frequencies. In this band, the most likely signals are stochastic, with a power spectrum that r…
Improving pulsar-timing solutions through dynamic pulse fitting
Rowina S. Nathan, Matthew T. Miles, Gregory Ashton +5
Precision pulsar timing is integral to the detection of the nanohertz stochastic gravitational-wave background as well as understanding the physics of neutron stars. Conventional p…
Toward robust detections of nanohertz gravitational waves
Valentina Di Marco, Andrew Zic, Matthew T. Miles +3
The recent observation of a common red-noise process in pulsar timing arrays (PTAs) suggests that the detection of nanohertz gravitational waves might be around the corner. However…
Model exploration in gravitational-wave astronomy with the maximum population likelihood
Ethan Payne, Eric Thrane
Hierarchical Bayesian inference is an essential tool for studying the population properties of compact binaries with gravitational waves. The basic premise is to infer the unknown…
When models fail: an introduction to posterior predictive checks and model misspecification in gravitational-wave astronomy
Isobel M. Romero-Shaw, Eric Thrane, Paul D. Lasky
Bayesian inference is a powerful tool in gravitational-wave astronomy. It enables us to deduce the properties of merging compact-object binaries and to determine how these mergers…
The Gravitational-wave Optical Transient Observer (GOTO): prototype performance and prospects for transient science
D. Steeghs, D. K. Galloway, K. Ackley +50
The Gravitational-wave Optical Transient Observer (GOTO) is an array of wide-field optical telescopes, designed to exploit new discoveries from the next generation of gravitational…
Inference with finite time series: Observing the gravitational Universe through windows
Colm Talbot, Eric Thrane, Sylvia Biscoveanu +1
Time series analysis is ubiquitous in many fields of science including gravitational-wave astronomy, where strain time series are analyzed to infer the nature of gravitational-wave…
Light curve classification with recurrent neural networks for GOTO: dealing with imbalanced data
U. F. Burhanudin, J. R. Maund, T. Killestein +42
The advent of wide-field sky surveys has led to the growth of transient and variable source discoveries. The data deluge produced by these surveys has necessitated the use of machi…
Processing GOTO data with the Rubin Observatory LSST Science Pipelines II: Forced Photometry and light curves
L. Makrygianni, J. Mullaney, V. Dhillon +45
We have adapted the Vera C. Rubin Observatory Legacy Survey of Space and Time (LSST) Science Pipelines to process data from the Gravitational-Wave Optical Transient Observer (GOTO)…
Transient-optimised real-bogus classification with Bayesian Convolutional Neural Networks -- sifting the GOTO candidate stream
T. L. Killestein, J. Lyman, D. Steeghs +45
Large-scale sky surveys have played a transformative role in our understanding of astrophysical transients, only made possible by increasingly powerful machine learning-based filte…
Constraining temperature distribution inside LIGO test masses from frequencies of their vibrational modes
Carl D Blair, Yuri Levin, Eric Thrane
Thermal distortion of test masses, as well as thermal drift of their vibrational mode frequencies, present a major challenge for operation of the Advanced LIGO and Advanced VIRGO i…
Processing GOTO data with the Rubin Observatory LSST Science Pipelines I : Production of coadded frames
J. R. Mullaney, L. Makrygianni, V. Dhillon +44
The past few decades have seen the burgeoning of wide field, high cadence surveys, the most formidable of which will be the Legacy Survey of Space and Time (LSST) to be conducted b…
Gravitational-wave astronomy with a physical calibration model
Ethan Payne, Colm Talbot, Paul D. Lasky +2
We carry out astrophysical inference for compact binary merger events in LIGO-Virgo's first gravitational-wave transient catalog (GWTC-1) using a physically motivated calibration m…
Machine Learning for Transient Recognition in Difference Imaging With Minimum Sampling Effort
Yik-Lun Mong, Kendall Ackley, Duncan Galloway +45
The amount of observational data produced by time-domain astronomy is exponentially in-creasing. Human inspection alone is not an effective way to identify genuine transients fromt…
Gravitational-wave astronomy with an uncertain noise power spectral density
Colm Talbot, Eric Thrane
In order to extract information about the properties of compact binaries, we must estimate the noise power spectral density of gravitational-wave data, which depends on the propert…
Bayesian inference for compact binary coalescences with BILBY: Validation and application to the first LIGO--Virgo gravitational-wave transient catalogue
I. M. Romero-Shaw, C. Talbot, S. Biscoveanu +56
Gravitational waves provide a unique tool for observational astronomy. While the first LIGO--Virgo catalogue of gravitational-wave transients (GWTC-1) contains eleven signals from…
Ground-Based Gravitational-Wave Astronomy in Australia: 2019 White Paper
Matthew Bailes, David McClelland, Eric Thrane +18
The past four years have seen a scientific revolution through the birth of a new field: gravitational-wave astronomy. The first detection of gravitational waves---recognised by the…
Constraining the Gravitational-Wave Afterglow From a Binary Neutron Star Coalescence
Sharan Banagiri, Michael W. Coughlin, James Clark +5
Binary neutron star mergers are rich laboratories for physics, accessible with ground-based interferometric gravitational-wave detectors such as the Advanced LIGO and Advanced Virg…