Efficient reconstruction of constrained MSSM parameters from LHC data: A case study
File(s)0907.0594v2.pdf (459.04 KB)
Accepted version
Author(s)
Roszkowski, L
Ruiz de Austri, R
Trotta, R
Type
Journal Article
Abstract
We present an efficient method of reconstructing the parameters of the constrained MSSM from assumed future LHC data, applied both on their own right and in combination with the cosmological determination of the relic dark matter abundance. Focusing on the ATLAS SU3 benchmark point, we demonstrate that our simple Gaussian approximation can recover the values of its parameters remarkably well. We examine two popular noninformative priors and obtain very similar results, although when we use an informative, naturalness-motivated prior, we find some sizeable differences. We show that a further strong improvement in reconstructing the SU3 parameters can by achieved by applying additional information about the relic abundance at the level of WMAP accuracy, although the expected data from Planck will have only a very limited additional impact. Further external data may be required to break some remaining degeneracies. We argue that the method presented here is applicable to a wide class of low-energy effective supersymmetric models, as it does not require one to deal with purely experimental issues, e.g., detector performance, and has the additional advantages of computational efficiency. Furthermore, our approach allows one to distinguish the effect of the model’s internal structure and of the external data on the final parameters constraints.
Date Issued
2010-09-03
Date Acceptance
2009-07-10
Citation
Physical Review D, 2010, 82 (5)
ISSN
1550-7998
Publisher
American Physical Society
Journal / Book Title
Physical Review D
Volume
82
Issue
5
Copyright Statement
© 2010 The American Physical Society
Identifier
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000281517100002&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
Subjects
Science & Technology
Physical Sciences
Astronomy & Astrophysics
Physics, Particles & Fields
Physics
Particle physics
Hadron colliders
Supersymmetry
Supergravity
Micromegas
Program
Masses
Nuclear & Particles Physics
Astronomical And Space Sciences
Atomic, Molecular, Nuclear, Particle And Plasma Physics
Quantum Physics
Publication Status
Published
Article Number
ARTN 055003