A coverage study of the CMSSM based on ATLAS sensitivity using fast neural networks techniques

File Description SizeFormat 
1011.4306v2.pdfAccepted version7.37 MBAdobe PDFDownload
Title: A coverage study of the CMSSM based on ATLAS sensitivity using fast neural networks techniques
Author(s): Bridges, M
Cranmer, K
Feroz, F
Hobson, M
Ruiz de Austri, R
Trotta, R
Item Type: Journal Article
Publication 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-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



Items in Spiral are protected by copyright, with all rights reserved, unless otherwise indicated.

Creative Commons