Dark matter from axion strings with adaptive mesh refinement
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) microelectr...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2022-02-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-022-28669-y |
| _version_ | 1830407234552594432 |
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| author | Malte Buschmann Joshua W. Foster Anson Hook Adam Peterson Don E. Willcox Weiqun Zhang Benjamin R. Safdi |
| author_facet | Malte Buschmann Joshua W. Foster Anson Hook Adam Peterson Don E. Willcox Weiqun Zhang Benjamin R. Safdi |
| author_sort | Malte Buschmann |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-20T18:26:18Z |
| format | Article |
| id | doaj.art-e512756827334158824608331d733fc6 |
| institution | Directory Open Access Journal |
| issn | 2041-1723 |
| language | English |
| last_indexed | 2024-12-20T18:26:18Z |
| publishDate | 2022-02-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Nature Communications |
| spelling | doaj.art-e512756827334158824608331d733fc62022-12-21T19:30:09ZengNature PortfolioNature Communications2041-17232022-02-0113111010.1038/s41467-022-28669-yDark matter from axion strings with adaptive mesh refinementMalte Buschmann0Joshua W. Foster1Anson Hook2Adam Peterson3Don E. Willcox4Weiqun Zhang5Benjamin R. Safdi6Department of Physics, Princeton UniversityLeinweber Center for Theoretical Physics, Department of Physics, University of MichiganMaryland Center for Fundamental Physics, University of MarylandCenter for Computational Sciences and Engineering Lawrence Berkeley National LaboratoryCenter for Computational Sciences and Engineering Lawrence Berkeley National LaboratoryCenter for Computational Sciences and Engineering Lawrence Berkeley National LaboratoryBerkeley Center for Theoretical Physics, University of CaliforniaThe 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.https://doi.org/10.1038/s41467-022-28669-y |
| spellingShingle | Malte Buschmann Joshua W. Foster Anson Hook Adam Peterson Don E. Willcox Weiqun Zhang Benjamin R. Safdi Dark matter from axion strings with adaptive mesh refinement Nature Communications |
| 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 |
| url | https://doi.org/10.1038/s41467-022-28669-y |
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