Dark matter from axion strings with adaptive mesh refinement

Malte Buschmann; Joshua W. Foster; Anson Hook; Adam Peterson; Don E. Willcox; Weiqun Zhang; Benjamin R. Safdi

doi:10.1038/s41467-022-28669-y

Nature Communications (Feb 2022)

Dark matter from axion strings with adaptive mesh refinement

Malte Buschmann,
Joshua W. Foster,
Anson Hook,
Adam Peterson,
Don E. Willcox,
Weiqun Zhang,
Benjamin R. Safdi

Affiliations

Malte Buschmann: Department of Physics, Princeton University
Joshua W. Foster: Leinweber Center for Theoretical Physics, Department of Physics, University of Michigan
Anson Hook: Maryland Center for Fundamental Physics, University of Maryland
Adam Peterson: Center for Computational Sciences and Engineering Lawrence Berkeley National Laboratory
Don E. Willcox: Center for Computational Sciences and Engineering Lawrence Berkeley National Laboratory
Weiqun Zhang: Center for Computational Sciences and Engineering Lawrence Berkeley National Laboratory
Benjamin R. Safdi: Berkeley Center for Theoretical Physics, University of California

DOI: https://doi.org/10.1038/s41467-022-28669-y
Journal volume & issue: Vol. 13, no. 1
pp. 1 – 10

Abstract

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The question of what axion mass would give rise to the observed dark matter abundance requires proper modelling of non-linear dynamics of the axion field in the early Universe. Here, the authors use adaptive mesh refinement simulations to predict a mass in the range in the range (40,180) microelectronvolts.

Published in Nature Communications

ISSN: 2041-1723 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science
Website: https://www.nature.com/ncomms/

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