Fast supersymmetry phenomenology at the Large Hadron Collider using machine learning techniques

Buckley, A, Shilton, Alistair and White, MJ 2012, Fast supersymmetry phenomenology at the Large Hadron Collider using machine learning techniques, Computer physics communications, vol. 183, no. 4, pp. 960-970, doi: 10.1016/j.cpc.2011.12.026.

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Title Fast supersymmetry phenomenology at the Large Hadron Collider using machine learning techniques
Author(s) Buckley, A
Shilton, AlistairORCID iD for Shilton, Alistair orcid.org/0000-0002-0849-3271
White, MJ
Journal name Computer physics communications
Volume number 183
Issue number 4
Start page 960
End page 970
Total pages 11
Publisher Elsevier
Place of publication Amsterdam, The Netherlands
Publication date 2012-04
ISSN 0010-4655
Keyword(s) supersymmetry phenomenology
Large Hadron Collider
Language eng
DOI 10.1016/j.cpc.2011.12.026
Field of Research 01 Mathematical Sciences
02 Physical Sciences
08 Information And Computing Sciences
Copyright notice ©2012, Elsevier B.V.
Persistent URL http://hdl.handle.net/10536/DRO/DU:30112736

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