61 citations · 303 across the 20 of their papers we have counts for
8 papers · 1 filter
Improved proper motion and gravity tests with PSR J1913+1102
Xueli Miao, Paulo C. C. Freire, Norbert Wex +11
PSR J1913+1102 is a highly asymmetric double neutron star system and an excellent laboratory for testing scalar-tensor gravity theories, as well as a potential progenitor analogue…
Probing intermediate-mass black hole binaries with the Lunar Gravitational-wave Antenna
Hanlin Song, Han Yan, Yacheng Kang +3
New concepts for observing the gravitational waves (GWs) using a detector on the Moon, such as the Lunar Gravitational-wave Antenna (LGWA), have gained increasing attention. By uti…
Vetting quark-star models with gravitational waves in the hierarchical Bayesian framework
Ziming Wang, Yong Gao, Dicong Liang +2
The recent discovery of gravitational waves (GWs) has opened a new avenue for investigating the equation of state (EOS) of dense matter in compact stars, which is an outstanding pr…
Constraints of the maximum mass of quark stars based on post-merger evolutions
Yurui Zhou, Chen Zhang, Junjie Zhao +3
We semi-analytically investigate the post-merger evolution of the binary quark star merger. The effective-one-body method is employed to estimate the energy and angular momentum di…
Including higher harmonics in gravitational-wave parameter estimation and cosmological implications for LISA
Yi Gong, Zhoujian Cao, Junjie Zhao +1
Massive black holes (MBHs) are crucial in shaping their host galaxies. How the MBH co-evolves with its host galaxy is a pressing problem in astrophysics and cosmology. The valuable…
Closing a spontaneous-scalarization window with binary pulsars
Junjie Zhao, Paulo C. C. Freire, Michael Kramer +2
Benefitting from the unequaled precision of the pulsar timing technique, binary pulsars are important testbeds of gravity theories, providing some of the tightest bounds on alterna…
Improved deep learning techniques in gravitational-wave data analysis
Heming Xia, Lijing Shao, Junjie Zhao +1
In recent years, convolutional neural network (CNN) and other deep learning models have been gradually introduced into the area of gravitational-wave (GW) data processing. Compared…
Multiband Observation of LIGO/Virgo Binary Black Hole Mergers in the Gravitational-wave Transient Catalog GWTC-1
Chang Liu, Lijing Shao, Junjie Zhao +1
The Advanced LIGO and Virgo detectors opened a new era to study black holes (BHs) in our Universe. A population of stellar-mass binary BHs (BBHs) are discovered to be heavier than…