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20162026
most citedA waveform model for eccentric binary black hole based on effective-one-body-numerical-relativity (EOBNR) formalism

179 citations · 1.2k across the 52 of their papers we have counts for

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Showing 2019Show all

11 papers · 1 filter

gr-qc2019★ 15 cited

Accuracy of source localization for eccentric inspiraling binary mergers using a ground-based detector network

Hsing-Po Pan, Chun-Yu Lin, Zhoujian Cao +1

The problem of gravitational wave parameter estimation and source localization is crucial in gravitational wave astronomy. Gravitational waves emitted by compact binary coalescence…

astro-ph.HE2019

Physical Implications of the Sub-threshold GRB GBM-190816 and its Associated Sub-threshold Gravitational Wave Event

Yi-Si Yang, Shu-Qing Zhong, Bin-Bin Zhang +10

The LIGO-Virgo and Fermi collaborations recently reported a possible joint detection of a sub-threshold gravitational wave (GW) event and a sub-threshold gamma-ray burst (GRB), GBM…

astro-ph.CO2019

Direct test of the FLRW metric from strongly lensed gravitational wave observations

Shuo Cao, Jingzhao Qi, Zhoujian Cao +4

The assumptions of large-scale homogeneity and isotropy underly the familiar Friedmann-Lema\^ıtre-Robertson-Walker (FLRW) metric that appears to be an accurate description of our U…

gr-qc2019★ 19 cited

Constraint on the fifth force through perihelion precession of planets

Bing Sun, Zhoujian Cao, Lijing Shao

The equivalence principle is important in fundamental physics. The fifth force, as a describing formalism of the equivalence principle, may indicate the property of an unknown theo…

gr-qc2019★ 91 cited

Validating the Effective-One-Body Numerical-Relativity Waveform Models for Spin-aligned Binary Black Holes along Eccentric Orbits

Xiaolin Liu, Zhoujian Cao, Lijing Shao

Effective-one-body (EOB) numerical-relativity (NR) waveform models for spin-aligned binary black holes (BBHs), known as the SEOBNR waveform models, are based on the EOB theoretical…

astro-ph.IM2019

Gravitational wave signal recognition of O1 data by deep learning

He Wang, Zhoujian Cao, Xiaolin Liu +2

Deep learning method develops very fast as a tool for data analysis these years. Such a technique is quite promising to treat gravitational wave detection data. There are many work…