3 papers
astro-ph.HE2020
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…
astro-ph.HE2019
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…
gr-qc2019
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…