activity
20102026
most citedTesting General Relativity with Present and Future Astrophysical Observations

1.5k citations · 7.3k across the 89 of their papers we have counts for

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Showing astro-ph.IMShow all

9 papers · 1 filter

astro-ph.IM2023★ 39 cited

Cosmic Explorer: A Submission to the NSF MPSAC ngGW Subcommittee

Matthew Evans, Alessandra Corsi, Chaitanya Afle +73

Gravitational-wave astronomy has revolutionized humanity's view of the universe, a revolution driven by observations that no other field can make. This white paper describes an obs…

astro-ph.IM2023★ 22 cited

General-relativistic radiation transport scheme in I: Implementation of two-moment based multi-frequency radiative transfer and code tests

Patrick Chi-Kit Cheong, Harry Ho-Yin Ng, Alan Tsz-Lok Lam +1

We present the implementation of two-moment based general-relativistic multi-group radiation transport module in the eneral-relativistic ltigrid $\texttt{n…

astro-ph.IM2021★ 9 cited

Testing the robustness of simulation-based gravitational-wave population inference

Damon H. T. Cheung, Kaze W. K. Wong, Otto A. Hannuksela +2

Gravitational-wave population studies have become more important in gravitational-wave astronomy because of the rapid growth of the observed catalog. In recent studies, emulators b…

astro-ph.IM2021★ 21 cited

An extension of Gmunu: General-relativistic resistive magnetohydrodynamics based on staggered-meshed constrained transport with elliptic cleaning

Patrick Chi-Kit Cheong, David Yat Tung Pong, Anson Ka Long Yip +1

We present the implementation of general-relativistic resistive magnetohydrodynamics solvers and three divergence-free handling approaches adopted in the General-relativistic multi…

astro-ph.IM2020★ 37 cited

Gmunu: Paralleled, grid-adaptive, general-relativistic magnetohydrodynamics in curvilinear geometries in dynamical spacetimes

Patrick Chi-Kit Cheong, Alan Tsz-Lok Lam, Harry Ho-Yin Ng +1

We present an update of the General-relativistic multigrid numerical (Gmunu) code, a parallelized, multi-dimensional curvilinear, general relativistic magnetohydrodynamics code wit…

astro-ph.IM2019★ 13 cited

Ranking Candidate Signals with Machine Learning in Low-Latency Search for Gravitational-Waves from Compact Binary Mergers

Kyungmin Kim, Tjonnie G. F. Li, Rico K. L. Lo +2

In the multi-messenger astronomy era, accurate sky localization and low latency time of gravitational-wave (GW) searches are keys in triggering successful follow-up observations on…

astro-ph.IM2018★ 19 cited

Template bank for spinning compact binary mergers in the second observation run of Advanced LIGO and the first observation run of Advanced Virgo

Debnandini Mukherjee, Sarah Caudill, Ryan Magee +25

We describe the methods used to construct the aligned-spin template bank of gravitational waveforms used by the GstLAL-based inspiral pipeline to analyze data from the second obser…

astro-ph.IM2018★ 9 cited

Classifying Lensed Gravitational Waves in the Geometrical Optics Limit with Machine Learning

Amit Jit Singh, Ivan S. C. Li, Otto A. Hannuksela +2

Gravitational waves are theorized to be gravitationally lensed when they propagate near massive objects. Such lensing effects cause potentially detectable repeated gravitational wa…

astro-ph.IM2016★ 415 cited

Analysis Framework for the Prompt Discovery of Compact Binary Mergers in Gravitational-wave Data

Cody Messick, Kent Blackburn, Patrick Brady +24

We describe a stream-based analysis pipeline to detect gravitational waves from the merger of binary neutron stars, binary black holes, and neutron-star-black-hole binaries within…