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A coverage study of the CMSSM based on ATLAS sensitivity using fast neural networks techniques
| File | Description | Size | Format | |
|---|---|---|---|---|
 1011.4306v2.pdf | Accepted version | 7.37 MB | Adobe PDF | View/Open |
| Title: | A coverage study of the CMSSM based on ATLAS sensitivity using fast neural networks techniques |
| Authors: | Bridges, M Cranmer, K Feroz, F Hobson, M Ruiz de Austri, R Trotta, R |
| Item Type: | Journal Article |
| Issue Date: | 2-Mar-2011 |
| Date of Acceptance: | 23-Feb-2011 |
| URI: | http://hdl.handle.net/10044/1/29719 |
| DOI: | https://dx.doi.org/10.1007/JHEP03(2011)012 |
| ISSN: | 1126-6708 |
| Publisher: | Springer |
| Journal / Book Title: | Journal of High Energy Physics |
| Volume: | 2011 |
| Issue: | 3 |
| Copyright Statement: | © SISSA 2011 |
| Keywords: | Science & Technology Physical Sciences Physics, Particles & Fields Physics PHYSICS, PARTICLES & FIELDS Supersymmetry Phenomenology PARAMETER SPACE RELIC DENSITY SUPERSYMMETRY SUPERGRAVITY MODEL hep-ph hep-ex physics.data-an Nuclear & Particles Physics 01 Mathematical Sciences 02 Physical Sciences |
| Publication Status: | Published |
| Article Number: | 012 |
| Appears in Collections: | Physics Astrophysics Faculty of Natural Sciences |