{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/constraining-parametric-deviation-from-kerr","title":"Constraining parametric deviations from the Kerr spacetime using black hole ringdowns of GW150914 and GW190521","arxiv_id":"2401.06049","date":"2024-01-11","proceeding":null,"authors":["Zaryab Ahmed","Shilpa Kastha","Alex B. Nielsen"],"abstract":"The ringdown phase of a binary black hole merger is modelled by the quasi-normal modes of a perturbed Kerr black hole. According to the black hole no-hair theorem, the emitted ringdown spectra are constrained by the mass and spin of the remnant black hole and thus offer an excellent test of the Kerr-nature of black holes. As a parameterization of beyond-Kerr effects, we employ the Johannsen-Psaltis metric ansatz. We analyze the ringdown of two binary black hole merger events- GW150914 and GW190521 to constrain the deviation from Kerr. We find that both events are consistent with the Kerr metric and due to the larger signal-to-noise ratio and the presence of the additional subdominant mode in the ringdown phase, we find a factor of ~2 improvement in constraints on the deviation parameter in the case of GW190521 as compared to GW150914. Moreover, we find that the deviation parameter is anti-correlated to the spin of the remnant black hole. We also explore the effect of priors for other physical parameters on the Kerr deviation.","url_abs":"https://arxiv.org/abs/2401.06049v2","url_pdf":"https://arxiv.org/pdf/2401.06049v2.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"links_only","authors_date_abstract":"arXiv metadata, CC0 1.0 (https://info.arxiv.org/help/license), from the Kaggle arXiv metadata snapshot of 2026-09-12"},"code_links":[{"paper_slug":"constraining-parametric-deviation-from-kerr","repo_url":"https://github.com/zkhatri11/jp-parameter-estimation","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}