activity
20102023
most citedHierarchical Black Hole Mergers in Active Galactic Nuclei

283 citations · 2.4k across the 36 of their papers we have counts for

collaborators

36 papers

cs.LG2023

TpopT: Efficient Trainable Template Optimization on Low-Dimensional Manifolds

Jingkai Yan, Shiyu Wang, Xinyu Rain Wei +4

In scientific and engineering scenarios, a recurring task is the detection of low-dimensional families of signals or patterns. A classic family of approaches, exemplified by templa…

astro-ph.HE2023

Gamma-ray burst precursors from tidally resonant neutron star oceans: potential implications for GRB 211211A

Andrew G. Sullivan, Lucas M. B. Alves, Zsuzsa Márka +2

Precursor emission has been observed seconds to minutes before some short gamma-ray bursts. While the origins of these precursors remain unknown, one potential explanation relies o…

astro-ph.IM2023★ 6 cited

The Timing System of LIGO Discoveries

Andrew G. Sullivan, Yasmeen Asali, Zsuzsanna Márka +18

LIGO's mission critical timing system has enabled gravitational wave and multi-messenger astrophysical discoveries as well as the rich science extracted. Achieving optimal detector…

astro-ph.IM2022★ 2 cited

Boosting the Efficiency of Parametric Detection with Hierarchical Neural Networks

Jingkai Yan, Robert Colgan, John Wright +3

Gravitational wave astronomy is a vibrant field that leverages both classic and modern data processing techniques for the understanding of the universe. Various approaches have bee…

astro-ph.HE2022★ 10 cited

Multi-messenger Emission from Tidal Waves in Neutron Star Oceans

Andrew G. Sullivan, Lucas M. B. Alves, Georgina O. Spence +5

Neutron stars in astrophysical binary systems represent exciting sources for multi-messenger astrophysics. A potential source of electromagnetic transients from compact binary syst…

astro-ph.IM2022★ 3 cited

Detecting and Diagnosing Terrestrial Gravitational-Wave Mimics Through Feature Learning

Robert E. Colgan, Zsuzsa Márka, Jingkai Yan +3

As engineered systems grow in complexity, there is an increasing need for automatic methods that can detect, diagnose, and even correct transient anomalies that inevitably arise an…