Getting more out of black hole superradiance: a statistically rigorous approach to ultralight boson constraints from black hole spin measurements
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Abstract
ABSTRACT Black hole (BH) superradiance can provide strong constraints on the properties of ultralight bosons (ULBs). While most of the previous work has focused on the theoretical predictions. Here, we investigate the most suitable statistical framework to constrain ULB masses and self-interactions using BH spin measurements. We argue that a Bayesian approach based on a simple time-scales analysis provides a clear statistical interpretation, deals with limitations regarding the reproducibility of existing BH analyses, incorporates the full information from BH data, and allows us to include additional nuisance parameters or to perform hierarchical modelling with BH populations in the future. We demonstrate the feasibility of our approach using mass and spin posterior samples for the X-ray binary BH M33 X-7 and, for the first time in this context, the supermassive BH IRAS 09149-6206. We explain the differences to existing ULB constraints in the literature and illustrate the effects of various assumptions about the superradiance process (equilibrium regime versus cloud collapse, higher occupation levels). As a result, our procedure yields the most statistically rigorous ULB constraints available in the literature, with important implications for the quantum chromodynamics (QCD) axion and axion-like particles. We encourage all groups analysing BH data to publish likelihood functions or posterior samples as supplementary material to facilitate this type of analysis, and for theory developments to compress their findings to effective time-scale modifications (https://github.com/sebhoof/bhsr).
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Acknowledgements: We thank Masha Baryakhtar, Marios Galanis, Olivier Simon, and Sam Witte for helpful, substantial input on our draft and discussions related to their ongoing and past works; Lijun Gou and Xueshan Zhao for samples from Chen et al. (2016); Jinyi Shangguan for samples from the GRAVITY Collaboration (2017, 2020); Dominic J. Walton for samples from Walton et al. (2020); and Jakob van den Eijnden, Rob Fender, and Matt Jarvis for helpful discussions on BH masses. SH has received funding from the European Union’s Horizon Europe research and innovation programme under the Marie Skłodowska-Curie grant agreement No 101065579. DJEM is supported by an Ernest Rutherford Fellowship from the STFC, Grant No. ST/T004037/1 and by a Leverhulme Trust Research Project (RPG-2022-145). JSR acknowledges the support from the Science and Technology Facilities Council (STFC) under grant ST/V50659X/1 (project reference 2442592) and the Institute of Astronomy, as well as from a NASA Astrophysics Data Analysis Program (grant 80NSSC24K0617). JHM acknowledges funding from a Royal Society University Research Fellowship. We acknowledge the CINECA award under the ISCRA initiative, for the availability of high-performance computing resources and support. We made use of the BibCom (Hoof 2022) and WebPlotDigitizer (Rohatgi 2022) tools, as well as the python packages numba, numpy (Harris et al. 2020), and scipy (Virtanen et al. 2020).
Funder: NASA; doi: https://doi.org/10.13039/100000104
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1365-2966

