Theoretical and Natural Science

- The Open Access Proceedings Series for Conferences


Proceedings of the 2nd International Conference on Computing Innovation and Applied Physics (CONF-CIAP 2023)

Series Vol. 5 , 25 May 2023


Open Access | Article

Different Detection Methods for Dark Matter

Jingxuan Feng * 1
1 Shenzhen Foreign Language School, Shenzhen,518000, China

* Author to whom correspondence should be addressed.

Theoretical and Natural Science, Vol. 5, 268-274
Published 25 May 2023. © 2023 The Author(s). Published by EWA Publishing
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Citation Jingxuan Feng. Different Detection Methods for Dark Matter. TNS (2023) Vol. 5: 268-274. DOI: 10.54254/2753-8818/5/20230452.

Abstract

Dark matter has been proposed to fulfill the missing mass from Astro-observation. Many theories have been raised to explain dark matter, and weakly interacting massive particles (WIMPs) are one of them. In recent decades, dark matter detection sensitivity has improved significantly. However, solid evidence for their existence has not come yet. This paper outlines some methods for detecting dark matter, including direct detections, collider searches with the ATLAS detector at LHC, and collider searches with CEPC.

Keywords

Dark Matter, Direct Detection, ATLAS, CEPC.

References

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Data Availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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Volume Title
Proceedings of the 2nd International Conference on Computing Innovation and Applied Physics (CONF-CIAP 2023)
ISBN (Print)
978-1-915371-53-9
ISBN (Online)
978-1-915371-54-6
Published Date
25 May 2023
Series
Theoretical and Natural Science
ISSN (Print)
2753-8818
ISSN (Online)
2753-8826
DOI
10.54254/2753-8818/5/20230452
Copyright
© 2023 The Author(s)
Open Access
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited

Copyright © 2023 EWA Publishing. Unless Otherwise Stated