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20242026
most citedToward Efficient and Accurate EMRI Parameter Estimation: A Machine Learning-Enhanced MCMC Framework

1 citations · 2 across the 9 of their papers we have counts for

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gr-qc2026

Ringdown Signatures of Dehnen Dark Matter Halos: Fluid Modes and Detectability with Space-Based Detectors

Manjia Liang, Minghui Du, Qing Diao +5

In this work, we investigate the feasibility of using ringdown waveforms from supermassive black holes immersed in dark-matter halos to extract both the intrinsic black-hole parame…

gr-qc2025

Gravitomagnetic-Hydrodynamics and Turbulence in Early Universe

Jiaxiang Liang, Peng Xu, Minghui Du +4

The nonlinear coupling between spacetime geometry and matter in the early Universe remains a frontier in theoretical cosmology. By introducing a novel gravitomagnetic-hydrodynamic…

gr-qc2025★ 1 cited

Toward Efficient and Accurate EMRI Parameter Estimation: A Machine Learning-Enhanced MCMC Framework

Bo Liang, Chang Liu, Hanlin Song +12

The detection of gravitational waves from extreme-mass-ratio inspirals (EMRIs) in space-based antennas like Taiji and Laser Interferometer Space Antenna promises deep insights into…

gr-qc2025

Source Confusion of Massive Black Hole Binaries for the Taiji Mission

Qing Diao, Hongxin Wang, Manjia Liang +4

We systematically investigate the source confusion of massive black hole binaries (MBHBs) for the Taiji space-based gravitational wave mission. Source confusion, arising from the o…

gr-qc2024

Fluctuation-dissipation relation of test masses in classical stochastic gravitational wave background

Manjia Liang, Peng Xu, Congfeng Qiao +4

Research on pulsar timing arrays has provided preliminary evidence for the existence of a stochastic gravitational background, which, either being primordial or of astrophysical or…