Publications (19)
Note on the Spectral Theorem
Tepper L Gill, Daniel Williams
In this note, we show that the spectral theorem, has two representations; the Stone-von Neumann representation and one based on the polar decomposition of linear operators, which w…
LensingFlow: An Automated Workflow for Gravitational Wave Lensing Analyses
Mick Wright, Justin Janquart, Paolo Cremonese +18
In this work, we present LensingFlow. This is an implementation of an automated workflow to search for evidence of gravitational lensing in a large series of gravitational wave eve…
Evidence for hierarchical black hole mergers in the second LIGO--Virgo gravitational-wave catalog
Chase Kimball, Colm Talbot, Christopher P. L. Berry +10
We study the population properties of merging binary black holes in the second LIGO--Virgo Gravitational-Wave Transient Catalog assuming they were all formed dynamically in gravita…
Querying Databases with Function Calling
Connor Shorten, Charles Pierse, Thomas Benjamin Smith +9
The capabilities of Large Language Models (LLMs) are rapidly accelerating largely thanks to their integration with external tools. Querying databases is among the most effective of…
Enhancing Gravitational-Wave Science with Machine Learning
Elena Cuoco, Jade Powell, Marco Cavaglià +23
Machine learning has emerged as a popular and powerful approach for solving problems in astrophysics. We review applications of machine learning techniques for the analysis of grou…
Mimicking Mergers: Mistaking Black Hole Captures as Mergers
Weichangfeng Guo, Daniel Williams, Ik Siong Heng +4
As the number of gravitational wave observations has increased in recent years, the variety of sources has broadened. Here we investigate whether it is possible for the current gen…
A Precessing Numerical Relativity Waveform Surrogate Model for Binary Black Holes: A Gaussian Process Regression Approach
Daniel Williams, Ik Siong Heng, Jonathan Gair +2
Gravitational wave astrophysics relies heavily on the use of matched filtering both to detect signals in noisy data from detectors, and to perform parameter estimation on those sig…
Anomalous Jet Identification via Sequence Modeling
Alan Kahn, Julia Gonski, Inês Ochoa +2
This paper presents a novel method of searching for boosted hadronically decaying objects by treating them as anomalous elements of a contaminated dataset. A Variational Recurrent…
Asimov: A framework for coordinating parameter estimation workflows
Daniel Williams, John Veitch, Maria Luisa Chiofalo +4
Since the first detection in 2015 of gravitational waves from compact binary coalescence, improvements to the Advanced LIGO and Advanced Virgo detectors have expanded our view into…
Comparing Short Gamma-Ray Burst Jet Structure Models
Fergus Hayes, Ik Siong Heng, John Veitch +1
A structured gamma-ray burst jet could explain the dimness of the prompt emission observed from GRBA but the exact form of this structure is still ambiguous. However, wit…
General-relativistic precession in a black-hole binary
Mark Hannam, Charlie Hoy, Jonathan E. Thompson +24
The general-relativistic phenomenon of spin-induced orbital precession has not yet been observed in strong-field gravity. Gravitational-wave observations of binary black holes (BBH…
Observational limits on the rate of radiation-driven binary black hole capture events
Michael Ebersold, Shubhanshu Tiwari, Leigh Smith +6
Dense astrophysical environments like globular clusters and galactic nuclei can host hyperbolic encounters of black holes which can lead to gravitational-wave driven capture. There…
The LHC Olympics 2020: A Community Challenge for Anomaly Detection in High Energy Physics
Gregor Kasieczka, Benjamin Nachman, David Shih +44
A new paradigm for data-driven, model-agnostic new physics searches at colliders is emerging, and aims to leverage recent breakthroughs in anomaly detection and machine learning. I…
Global solutions to the homogeneous and inhomogeneous Navier-Stokes equations
Tepper L. Gill, Daniel Williams, Woodford W. Zachary
In this paper we take a new approach to a proof of existence and uniqueness of solutions for the 3D-Navier-Stokes equations, which leads to essentially the same proof for both boun…
Real-Time Band-Grouped Vocal Denoising Using Sigmoid-Driven Ideal Ratio Masking
Daniel Williams
Real-time, deep learning-based vocal denoising has seen significant progress over the past few years, demonstrating the capability of artificial intelligence in preserving the natu…
Rapid Generation of Kilonova Light Curves Using Conditional Variational Autoencoder
Surojit Saha, Michael J. Williams, Laurence Datrier +8
The discovery of the optical counterpart, along with the gravitational waves from GW170817, of the first binary neutron star merger, opened up a new era for multi-messenger astroph…
Beyond GWTC-3: Analysing and verifying new gravitational-wave events from community catalogues
Daniel Williams
The public release of data from the LIGO and Virgo detectors has enabled the identification of potential gravitational wave signals by independent teams using alternative methodolo…
Constraints On Short, Hard Gamma-Ray Burst Beaming Angles From Gravitational Wave Observations
Daniel Williams, James A. Clark, Andrew R. Williamson +1
The first detection of a binary neutron star merger, GW170817, and an associated short gamma-ray burst confirmed that neutron star mergers are responsible for at least some of thes…
Classport: Designing Runtime Dependency Introspection for Java
Serena Cofano, Daniel Williams, Aman Sharma +1
Runtime introspection of dependencies, i.e., the ability to observe which dependencies are currently used during program execution, is fundamental for Software Supply Chain securit…