240 citations · 745 across the 19 of their papers we have counts for
19 papers
Multiband parameter estimation with phase coherence and extrinsic marginalization: Extracting more information from low-SNR CBC signals in LISA data
Shichao Wu, Alexander H. Nitz, Ian Harry +4
This paper presents a novel coherent multiband analysis framework for characterizing stellar- and intermediate-mass binary black holes using LISA and next-generation ground-based d…
Efficient Stochastic Template Bank using Inner Product Inequalities
Keisi Kacanja, Alexander H. Nitz, Shichao Wu +5
Gravitational wave searches are crucial for studying compact sources like neutron stars and black holes. Many sensitive modeled searches use matched filtering to compare gravitatio…
The Heavier the Faster: A Sub-population of Heavy, Rapidly Spinning and Quickly Evolving Binary Black Holes
Wei-Hua Guo, Yin-Jie Li, Yuan-Zhu Wang +4
The spins of binary black holes (BBHs) measured from gravitational waves carry notable information of the formation pathways. Here we propose a quantity "dimensionless net spin" ($…
Formation of Lower Mass-gap Black Hole--Neutron Star Binary Mergers through Super-Eddington Stable Mass Transfer
Jin-Ping Zhu, Ying Qin, Zhen-Han-Tao Wang +3
Super-Eddington accretion of neutron stars (NSs) has been suggested both observationally and theoretically. In this paper, we propose that NSs in close-orbit binary systems with co…
Adapting the PyCBC pipeline to find and infer the properties of gravitational waves from massive black hole binaries in LISA
Connor R. Weaving, Laura K. Nuttall, Ian W. Harry +2
The Laser Interferometer Space Antenna (LISA), due for launch in the mid 2030s, is expected to observe gravitational waves (GW)s from merging massive black hole binaries (MBHB)s. T…
Searching for candidates of coalescing binary black holes formed through chemically homogeneous evolution in GWTC-3
Ying Qin, Yuan-Zhu Wang, Simone S. Bavera +10
The LIGO, Virgo, and KAGRA (LVK) collaboration has announced 90 coalescing binary black holes (BBHs) with to date, however, the origin of their formation cha…
MLGWSC-1: The first Machine Learning Gravitational-Wave Search Mock Data Challenge
Marlin B. Schäfer, Ondřej Zelenka, Alexander H. Nitz +20
We present the results of the first Machine Learning Gravitational-Wave Search Mock Data Challenge (MLGWSC-1). For this challenge, participating groups had to identify gravitationa…
Mock data study for next-generation ground-based detectors: The performance loss of matched filtering due to correlated confusion noise
Shichao Wu, Alexander H. Nitz
The next-generation (3G/XG) ground-based gravitational-wave (GW) detectors such as Einstein Telescope (ET) and Cosmic Explorer (CE) will begin observing in the next decade. Due to…
Long-duration Gamma-ray Burst and Associated Kilonova Emission from Fast-spinning Black Hole--Neutron Star Mergers
Jin-Ping Zhu, Xiangyu Ivy Wang, Hui Sun +5
Here we collect three unique bursts, GRBs\,060614, 211211A and 211227A, all characterized by a long-duration main emission (ME) phase and a rebrightening extended emission (EE) pha…
4-OGC: Catalog of gravitational waves from compact-binary mergers
Alexander H. Nitz, Sumit Kumar, Yi-Fan Wang +5
We present the fourth Open Gravitational-wave Catalog (4-OGC) of binary neutron star (BNS), binary black hole (BBH) and neutron star-black hole (NSBH) mergers. The catalog includes…
Population Properties of Gravitational-Wave Neutron Star--Black Hole Mergers
Jin-Ping Zhu, Shichao Wu, Ying Qin +3
Over the course of the third observing run of LIGO-Virgo-KAGRA Collaboration, several gravitational-wave (GW) neutron star--black hole (NSBH) candidates have been announced. By ass…
Probing the large-scale structure of the universe through gravitational-wave observations
Xiaoyun Shao, Zhoujian Cao, Xilong Fan +1
The improvements in the sensitivity of the gravitational wave (GW) network enable the detection of several large redshift GW sources by third-generation GW detectors. These advance…
Kilonova and Optical Afterglow from Binary Neutron Star Mergers. II. Optimal Search Strategy for Serendipitous Observations and Target-of-opportunity Observations of Gravitational-wave Triggers
Jin-Ping Zhu, Shichao Wu, Yuan-Pei Yang +8
In the second work of this series, we explore the optimal search strategy for serendipitous and gravitational-wave-triggered target-of-opportunity (ToO) observations of kilonovae a…
No Detectable Kilonova Counterpart is Expected for O3 Neutron Star-Black Hole Candidates
Jin-Ping Zhu, Shichao Wu, Yuan-Pei Yang +5
We analyse the tidal disruption probability of potential neutron star--black hole (NSBH) merger gravitational wave (GW) events, including GW190426_152155, GW190814, GW200105_162426…
Event rate predictions of strongly lensed gravitational waves with detector networks and more realistic templates
Lilan Yang, Shichao Wu, Kai Liao +5
Strong lensing of gravitational waves (GWs) is attracting growing attention of the community. The event rates of lensed GWs by galaxies were predicted in numerous papers, which use…
Kilonova Emission From Black Hole-Neutron Star Mergers. II. Luminosity Function and Implications for Target-of-opportunity Observations of Gravitational-wave Triggers and Blind Searches
Jin-Ping Zhu, Shichao Wu, Yuan-Pei Yang +8
We present detailed simulations of black hole-neutron star (BH-NS) mergers kilonova and gamma-ray burst (GRB) afterglow and kilonova luminosity function, and discuss the detectabil…
Measuring eccentricity of binary black holes in GWTC-1 by using inspiral-only waveform
Shichao Wu, Zhoujian Cao, Zong-Hong Zhu
In this paper, we estimate the eccentricity of the 10 BBHs in GWTC-1 by using the inspiral-only BBH waveform template EccentricFD. Firstly, we test our method with simulated eccent…
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…
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…