Proceedings of the 2017 5th International Conference on Machinery, Materials and Computing Technology (ICMMCT 2017)

Research on Direct Detection of Dark Matter Based on the Little Higgs Model

Authors
Feng Zhang
Corresponding Author
Feng Zhang
Available Online April 2017.
DOI
10.2991/icmmct-17.2017.246How to use a DOI?
Keywords
little Higgs model, dark matter, direct detection
Abstract

Dark matter is one of the hot spots in the astronomy, but the stand model of the particle physics can't provide a proper candidate of dark matter. There is also a contradiction between the initial little Higgs model and the accurate measurement of weak current. Therefore, the scientists introduced T-parity into the little Higgs model. The paper directly detected the dark matter based on the little Higgs T-parity model to provide some references for the relative researchers.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2017 5th International Conference on Machinery, Materials and Computing Technology (ICMMCT 2017)
Series
Advances in Engineering Research
Publication Date
April 2017
ISBN
978-94-6252-318-0
ISSN
2352-5401
DOI
10.2991/icmmct-17.2017.246How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Feng Zhang
PY  - 2017/04
DA  - 2017/04
TI  - Research on Direct Detection of Dark Matter Based on the Little Higgs Model
BT  - Proceedings of the 2017 5th International Conference on Machinery, Materials and Computing Technology (ICMMCT 2017)
PB  - Atlantis Press
SP  - 1263
EP  - 1267
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmmct-17.2017.246
DO  - 10.2991/icmmct-17.2017.246
ID  - Zhang2017/04
ER  -