Adelaide Research & Scholarship
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https://hdl.handle.net/2440/87443
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| Type: | Journal article |
| Title: | Fast supersymmetry phenomenology at the Large Hadron Collider using machine learning techniques |
| Author: | Buckley, A. Shilton, A. White, M. |
| Citation: | Computer Physics Communications, 2012; 183(4):960-970 |
| Publisher: | Elsevier Science |
| Issue Date: | 2012 |
| ISSN: | 0010-4655 1879-2944 |
| Statement of Responsibility: | A. Buckley, A. Shilton, M.J. White |
| Abstract: | Abstract not available |
| Keywords: | Supersymmetry phenomenology; Large Hadron Collider |
| Rights: | © 2012 Elsevier B.V. All rights reserved. |
| DOI: | 10.1016/j.cpc.2011.12.026 |
| Grant ID: | http://purl.org/au-research/grants/arc/DP1095099 |
| Published version: | http://dx.doi.org/10.1016/j.cpc.2011.12.026 |
| Appears in Collections: | Aurora harvest 7 Chemistry and Physics publications |
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