activity
19992026
most citedGravitational Waves and Gamma-rays from a Binary Neutron Star Merger: GW170817 and GRB 170817A

3.6k citations · 35k across the 164 of their papers we have counts for

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Showing astro-ph.HEShow all

46 papers · 1 filter

astro-ph.HE2026

Probabilistic kilonova prediction from gravitational wave inferred binary neutron star parameters

Xiao-Fei Dong, Ik Siong Heng, Gavin P. Lamb +10

Kilonovae provide a key electromagnetic window into binary neutron star mergers, revealing the properties of the merging system while probing r-process nucleosynthesis of the Unive…

astro-ph.HE2023

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…

astro-ph.HE2023★ 1 cited

Unpacking merger jets: a Bayesian analysis of GW170817, GW190425 and electromagnetic observations of short gamma-ray bursts

Fergus Hayes, Ik Siong Heng, Gavin Lamb +3

We present a novel fully Bayesian analysis to constrain short gamma-ray burst jet structures associated with cocoon, wide-angle and simple top-hat jet models, as well as the binary…

astro-ph.HE2021★ 2 cited

A Bayesian Inference Framework for Gamma-Ray Burst Afterglow Properties

En-Tzu Lin, Fergus Hayes, Gavin P. Lamb +5

In the field of multi-messenger astronomy, Bayesian inference is commonly adopted to compare the compatibility of models given the observed data. However, to describe a physical sy…

astro-ph.HE2021★ 1 cited

Inclination estimates from off-axis GRB afterglow modelling

Gavin P Lamb, Joseph J Fernández, Fergus Hayes +7

For gravitational wave (GW) detected neutron star mergers, one of the leading candidates for electromagnetic (EM) counterparts is the afterglow from an ultra-relativistic jet. Wher…

astro-ph.HE2019★ 76 cited

Detection and Classification of Supernova Gravitational Waves Signals: A Deep Learning Approach

Man Leong Chan, Ik Siong Heng, Chris Messenger

We demonstrate the application of a convolutional neural network to the gravitational wave signals from core collapse supernovae. Using simulated time series of gravitational wave…