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

collaborators

165 papers

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.IM2026

LIGO A: Detector Design and Science Prospects Beyond A+

L. Sun, K. Kuns, B. J. J. Slagmolen +1153

We present the LIGO A detector concept, an upgrade for the LIGO observatories based on room-temperature interferometers beyond the fifth observing run (O5). Building on th…

physics.soc-ph2025

The Early Career Workshop of GR-Amaldi 2025

S Al-Shammari, C P L Berry, C E A Chapman-Bird +18

Gravitational physics and astronomy have developed rapidly over the last decade, driven by new observations and theoretical breakthroughs. As new as the science and technology of t…

astro-ph.CO2025

Using gravitational wave dark sirens to choose between host galaxy weighting models

Zhuotao Li, Rachel Gray, Ik Siong Heng

Binary black hole (BBH) mergers,, an important source of gravitational-waves(GWs), are assumed to be hosted in galaxies. The probability of a galaxy to host a BBH is related to its…

gr-qc2025

Search for dynamical black hole captures with Gaussian mixture modelling

Leigh Smith, Shubhanshu Tiwari, Michael Ebersold +3

Gravitational waves (GWs) are expected to originate from black holes interacting dynamically in dense astrophysical environments. In such environments, given that the velocity and…

eess.IV2025

Efficacy of Image Similarity as a Metric for Augmenting Small Dataset Retinal Image Segmentation

Thomas Wallace, Ik Siong Heng, Senad Subasic +1

Synthetic images are an option for augmenting limited medical imaging datasets to improve the performance of various machine learning models. A common metric for evaluating synthet…