23–28 Aug 2026
Asia/Shanghai timezone

Gravitational Wave Data Analysis using the F-statistic method

25 Aug 2026, 16:00
15m

Speaker

Haitian Wang (Dalian University of Technology)

Description

Gravitational-wave observations offer a powerful way to probe compact binary coalescences and test strong-field gravity. In this talk, I will present a preliminary study on gravitational-wave data analysis using the F-statistic, focusing on its applications to black-hole ringdown and full inspiral–merger–ringdown analyses. By analytically maximizing over amplitude-related parameters, the method reduces the dimensionality of the parameter space and improves sampling efficiency. Specifically, the parameter estimation efficiency for ringdown analysis is improved by at least a factor of 100, while for the full inspiral–merger–ringdown analysis, the improvement in parameter estimation efficiency reaches up to approximately a factor of 5. Injection studies and applications to events such as GW150914, GW231028, GW190412, and GW190814 show that the F-statistic can recover source parameters efficiently and help assess evidence for sub-dominant ringdown modes. These results suggest that the F-statistic is a promising tool for future gravitational-wave data analyses.

Author

Haitian Wang (Dalian University of Technology)

Co-authors

Prof. Lijing Shao (Peking University) Prof. Xian Chen (Peking University) Mr Yiming Dong (Peking University) Mr Ziming Wang (Peking University)

Presentation materials

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