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Dark matter from axion strings with adaptive mesh refinement

Physics

Dark matter from axion strings with adaptive mesh refinement

M. Buschmann, J. W. Foster, et al.

Discover groundbreaking insights into axions, the elusive candidates for dark matter, as research by Malte Buschmann, Joshua W. Foster, Anson Hook, Adam Peterson, Don E. Willcox, Weiqun Zhang, and Benjamin R. Safdi sheds light on axion string energy radiation and predicts a tantalizing mass range of (40, 180) microelectronvolts.

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~3 min • Beginner • English
Abstract
Axions are hypothetical particles that may explain the observed dark matter density and the non-observation of a neutron electric dipole moment. An increasing number of axion laboratory searches are underway worldwide, but these efforts are made difficult by the fact that the axion mass is largely unconstrained. If the axion is generated after inflation there is a unique mass that gives rise to the observed dark matter abundance; due to nonlinearities and topological defects known as strings, computing this mass accurately has been a challenge for four decades. Recent works, making use of large static lattice simulations, have led to largely disparate predictions for the axion mass, spanning the range from 25 microelectronvolts to over 500 microelectronvolts. In this work we show that adaptive mesh refinement simulations are better suited for axion cosmology than the previously-used static lattice simulations because only the string cores require high spatial resolution. Using dedicated adaptive mesh refinement simulations we obtain an over three order of magnitude leap in dynamic range and provide evidence that axion strings radiate their energy with a scale-invariant spectrum, to within ~5% precision, leading to a mass prediction in the range (40,180) microelectronvolts.
Publisher
Nature Communications
Published On
Oct 26, 2022
Authors
Malte Buschmann, Joshua W. Foster, Anson Hook, Adam Peterson, Don E. Willcox, Weiqun Zhang, Benjamin R. Safdi
Tags
axions
dark matter
neutron electric dipole moment
adaptive mesh refinement
energy radiation
mass prediction
topological defects
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