Sensitivity to Axion-like Particle dark matter with very-high-energy gamma-ray observations of Active Galactic Nuclei located behind Galaxy Clusters
Cervane Grimaud, Denys Malyshev, Emmanuel Moulin

TL;DR
This study forecasts the sensitivity of gamma-ray observations of AGNs behind galaxy clusters to detect axion-like particles, revealing potential to probe uncharted ALP dark matter parameter space with current and future telescopes.
Contribution
It introduces a stacking analysis method of multiple AGN-cluster pairs to improve sensitivity to ALP-photon interactions in gamma-ray spectra.
Findings
Sensitivity to ALP-photon coupling down to 6×10⁻¹³ GeV⁻¹ at 3×10⁻⁸ eV mass.
Stacking analysis enhances detection prospects for ALPs in the 10⁻⁸ to 10⁻⁷ eV mass range.
Current statistical limitations suggest further improvements with more observations.
Abstract
Axion-Like-Particles (ALPs) are hypothetical pseudo-scalar particles actively searched as light dark matter candidates. The coupling of ALPs to photons can give rise to distinctive spectral features in the observed gamma-ray spectrum of astrophysical sources. We perform a forecast study on the sensitivity to ALP-photon interactions using stacked mock observations of selected active galactic nuclei (AGNs) located behind galaxy clusters (GC). The ALP-photon conversion in the magnetic fields of galaxy clusters give rise to absorption-like features in AGN spectra that are subject to large variance in their prediction for individual sources. We consider here a stacking analysis of multiple AGN-cluster pairs, which yields a more controlled prediction of the expected ALP-induced spectral patterns in the observed gamma-ray spectra. Using realistic mock observations of selected Fermi-LAT…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsDark Matter and Cosmic Phenomena · Astrophysics and Cosmic Phenomena · Computational Physics and Python Applications
