Reanalyzing the ringdown signal of GW150914 using the <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mi mathvariant="script">F</mml:mi></mml:math>-statistic method
The ringdown phase of a gravitational wave (GW) signal from a binary black hole merger provides valuable insights into the properties of the final black hole and serves as a critical test of general relativity in the strong-field regime. A key aspect of this investigation is to determine whether the first overtone mode exists in real GW data, as its presence would offer significant implications for our understanding of general relativity under extreme conditions. To address this, we conducted a reanalysis of the ringdown signal from GW150914, using the newly proposed $\mathcal{F}$-statistic method to search for the first overtone mode. Our results are consistent with those obtained through classical time-domain Bayesian inference, indicating that there is no evidence of the first overtone mode in the ringdown signal of GW150914. However, our results show the potentiality of utilizing the $\mathcal{F}\text{-statistic}$ methodology to unearth nuanced features within GW signals, thereby contributing novel insights into BH properties.
Authors
- Hai-Tian Wang (ORCID: https://orcid.org/0000-0002-7779-8239)
- Lijing Shao (ORCID: https://orcid.org/0000-0002-1334-8853)
- Yiming Dong (ORCID: https://orcid.org/0000-0001-5371-4697)
- Garvin Yim (ORCID: https://orcid.org/0000-0001-8548-9535)
- Ziming Wang (ORCID: https://orcid.org/0000-0002-8742-8397)
Institutions
- Chinese Academy of Sciences (CN)
- Peking University (CN)
- Dalian University of Technology (CN)
- Dalian University (CN)
- Kavli Institute for Theoretical Sciences (CN)
- National Astronomical Observatories (CN)
Publication Details
- Journal
- Physical review. D/Physical review. D.
- Published
- 2025-03-11
- DOI
- https://doi.org/10.1103/physrevd.111.064037
- Citations
- 6
- Primary Topic
- Pulsars and Gravitational Waves Research
- Type
- article
- Field-Weighted Citation Impact
- 6.93
Funders
- National Science Foundation
- Ministry of Education, Culture, Sports, Science and Technology
- National Natural Science Foundation of China
- Academia Sinica
- Dalian University of Technology
- National Research Foundation of Korea
- Max-Planck-Gesellschaft
- Centre National de la Recherche Scientifique
- Peking University
- Ministry of Science and ICT, South Korea
- Science and Technology Facilities Council
- Australian Research Council
- Japan Society for the Promotion of Science
- Instituto Nazionale di Fisica Nucleare
- Beijing Municipal Natural Science Foundation
- Fundamental Research Funds for the Central Universities