8 citations · 22 across the 12 of their papers we have counts for
13 papers
Hierarchical Parameter Estimation for Intrinsic Parameters of Extreme-mass-ratio Inspirals Using Deep Learning
Ping Shen, Wen-Biao Han, Minghui Du
Extreme-mass-ratio inspirals (EMRIs) stand as prime targets for future space-borne gravitational wave (GW) detectors, yet their precise parameter estimation is severely hindered by…
Coherent End-to-End Search for Generic Extreme-Mass-Ratio Inspirals
Xiaobo Zou, Xingyu Zhong, Wen-Biao Han +1
Extreme-mass-ratio inspirals (EMRIs) encode more than strong-field orbital cycles and are key targets for space-borne gravitational-wave interferometers, yet coherent recove…
Strong-lensing effects in high-redshift massive black-hole binary population inference
Yan-Heng Jin, Wen-Biao Han
High-redshift massive black-hole binary (MBHB) mergers provide a probe of black-hole seed formation and early galaxy assembly, but the population detected by LISA can be modified b…
Antarctic TianMu Staring Observation Project I: Overview and Implementation of the Prototype Telescope
Dan Zhou, Jing Zhong, Jianchun Shi +31
Wide-field rapid sky surveys serve as critical observational methods for time-domain astronomical research. The Antarctic region, with several months of continuous dark nights annu…
Inspiraling binary charged black holes in an external magnetic field: Application of post-Newtonian dynamics in Einstein-Maxwell theory
RunDong Tang, Lang Liu, Wen-Biao Han
We present a systematic post-Newtonian treatment of binary charged black holes immersed in external magnetic fields within the framework of Einstein-Maxwell theory. By incorporatin…
Revealing the origin of supermassive black holes with Taiji-TianQin network
Ping Shen, Wen-Biao Han, Wen-Xin Zhong
The origin of supermassive black holes (SMBHs) is a pivotal problem in modern cosmology. This work explores the potential of the Taiji-TianQin space-borne gravitational-wave (GW) d…
Constraining the Deviation of Kerr Metric via Bumpy Parameterization and Particle Swarm Optimization in Extreme Mass-Ratio Inspirals
Xiaobo Zou, Xingyu Zhong, Wen-Biao Han +1
Measurement of deviations in the Kerr metric using gravitational wave (GW) observations will provide a clear signal of new Physics. Previous studies have developed multiple paramet…
Towards Realistic Detection Pipelines of Taiji: New Challenges in Data Analysis and High-Fidelity Simulations of Space-Based Gravitational Wave Antenna
Minghui Du, Pengcheng Wang, Ziren Luo +23
Taiji, a Chinese space-based gravitational wave (GW) detection project, aims to explore the millihertz GW universe with unprecedented sensitivity. By observing astrophysical and co…
The Effect of Higher Harmonics On Gravitational Wave Dark Sirens
Jian-Dong Liu, Wen-Biao Han, Qianyun Yun +1
The gravitational wave (GW) signal from the merger of two black holes can serve as a standard sirens for cosmological inference. However, a degeneracy exists between the luminosity…
The detection, extraction and parameter estimation of extreme-mass-ratio inspirals with deep learning
Qianyun Yun, Wen-Biao Han, Yi-Yang Guo +2
One of the primary goals of space-borne gravitational wave detectors is to detect and analyze extreme-mass-ratio inspirals (EMRIs). This endeavor presents a significant challenge d…
Prospect of detecting magnetic fields from strong-magnetized binary neutron stars
RunDong Tang, Wen-Biao Han, XingYu Zhong +3
Binary neutron star mergers are unique sources of gravitational waves in multi-messenger astronomy. The inspiral phase of binary neutron stars can emit gravitational waves as chirp…
Precessing Binary Black Holes as Better Dark Sirens
Qianyun Yun, Wen-Biao Han, Qian Hu +1
Gravitational waves (GWs) from binary black hole mergers provide unique opportunities for cosmological inference such as standard sirens. However, the accurate determination of the…
Detecting extreme-mass-ratio inspirals for space-borne detectors with deep learning
Qianyun Yun, Wen-Biao Han, Yi-Yang Guo +2
One of the primary objectives for space-borne gravitational wave detectors is the detection of extreme-mass-ratio inspirals (EMRIs). This undertaking poses a substantial challenge…