4 citations · 7 across the 3 of their papers we have counts for
3 papers
physics.comp-ph2024★ 1 cited
Rapid Parameter Estimation for Extreme Mass Ratio Inspirals Using Machine Learning
Bo Liang, Hong Guo, Tianyu Zhao +11
Extreme-mass-ratio inspiral (EMRI) signals pose significant challenges in gravitational wave (GW) astronomy owing to their low-frequency nature and highly complex waveforms, which…
gr-qc2023★ 2 cited
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…
astro-ph.CO2023★ 4 cited
A Measurement of Hubble Constant Using Cosmographic Approach from Fast Radio Bursts and SNe Ia
Jiaze Gao, Zhihuan Zhou, Minghui Du +3
The Hubble constant is a crucial parameter in cosmology. However, different cosmic observations have resulted in varying posterior results for , leading to what is k…