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Dark matter from axion strings with adaptive mesh refinement

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 u...

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Autores principales: Buschmann, Malte, Foster, Joshua W., Hook, Anson, Peterson, Adam, Willcox, Don E., Zhang, Weiqun, Safdi, Benjamin R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8881528/
https://www.ncbi.nlm.nih.gov/pubmed/35217674
http://dx.doi.org/10.1038/s41467-022-28669-y
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author Buschmann, Malte
Foster, Joshua W.
Hook, Anson
Peterson, Adam
Willcox, Don E.
Zhang, Weiqun
Safdi, Benjamin R.
author_facet Buschmann, Malte
Foster, Joshua W.
Hook, Anson
Peterson, Adam
Willcox, Don E.
Zhang, Weiqun
Safdi, Benjamin R.
author_sort Buschmann, Malte
collection PubMed
description 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.
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spelling pubmed-88815282022-03-17 Dark matter from axion strings with adaptive mesh refinement Buschmann, Malte Foster, Joshua W. Hook, Anson Peterson, Adam Willcox, Don E. Zhang, Weiqun Safdi, Benjamin R. Nat Commun Article 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. Nature Publishing Group UK 2022-02-25 /pmc/articles/PMC8881528/ /pubmed/35217674 http://dx.doi.org/10.1038/s41467-022-28669-y Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Buschmann, Malte
Foster, Joshua W.
Hook, Anson
Peterson, Adam
Willcox, Don E.
Zhang, Weiqun
Safdi, Benjamin R.
Dark matter from axion strings with adaptive mesh refinement
title Dark matter from axion strings with adaptive mesh refinement
title_full Dark matter from axion strings with adaptive mesh refinement
title_fullStr Dark matter from axion strings with adaptive mesh refinement
title_full_unstemmed Dark matter from axion strings with adaptive mesh refinement
title_short Dark matter from axion strings with adaptive mesh refinement
title_sort dark matter from axion strings with adaptive mesh refinement
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8881528/
https://www.ncbi.nlm.nih.gov/pubmed/35217674
http://dx.doi.org/10.1038/s41467-022-28669-y
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