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gr-qc2026
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…
gr-qc2026
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…
astro-ph.CO2026
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…