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Magnetohydrodynamics predicts heavy-tailed distributions of axion-photon conversion

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arxiv 2208.04333 v2 pith:FMV7F4CZ submitted 2022-08-08 hep-ph astro-ph.HE

Magnetohydrodynamics predicts heavy-tailed distributions of axion-photon conversion

classification hep-ph astro-ph.HE
keywords alpsconversionfieldsgrfsmodelsalp-photonexponentialfind
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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The interconversion of axionlike particles (ALPs) and photons in magnetised astrophysical environments provides a promising route to search for ALPs. The strongest limits to date on light ALPs use galaxy clusters as ALP-photon converters. However, such studies traditionally rely on simple models of the cluster magnetic fields, with the state-of-the-art being Gaussian random fields (GRFs). We present the first systematic study of ALP-photon conversion in more realistic, turbulent fields from dedicated magnetohydrodynamic (MHD) simulations, which we compare with GRF models. For GRFs, we analytically derive the distribution of conversion ratios at fixed energy and find that it follows an exponential law. We find that the MHD models agree with the exponential law for typical, small-amplitude mixings but exhibit distinctly heavy tails for rare and large mixings. We explain how non-Gaussian features, e.g.~coherent structures and local spikes in the MHD magnetic field, are responsible for the heavy tail. Our results suggest that limits placed on ALPs using GRFs are robust.

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Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. Magnetic Turbulence Boosts Supernova Signals of Axion-Photon Conversion

    hep-ph 2026-05 unverdicted novelty 5.0

    Turbulent magnetic fields enhance axion-photon conversion signals from supernovae, improving limits on axion-proton and axion-photon couplings by up to two orders of magnitude.