SFitter: Reconstructing the MSSM Lagrangian from LHC data

Abstract

Once supersymmetry is found at the LHC, the question arises what are the fundamental parameters of the Lagrangian. The answer to this question should thereby not be biased by assumptions on high-scale models. SFitter is a tool designed for this task. Taking LHC (and possibly ILC) data as input it scans the TeV-scale MSSM parameter space using its new weighted Markov chain technique. Using this scan it determines a list of best-fitting parameter points. Additionally a log-likelihood map is calculated, which can be reduced to lower-dimensional Frequentist's profile likelihoods or Bayesian probability maps.

Submitted for the SUSY07 proceedings, 4 pages, LaTeX, 4 eps figures

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Cited by in corpus (8)

• Physics searches at the LHC
• Physics Beyond the Standard Model: Supersymmetry
• Bottom-Up Reconstruction Scenarios for (un)constrained MSSM Parameters at the LHC
• Pinning down the Invisible Sneutrino
• The pMSSM Interpretation of LHC Results Using Rernormalization Group Invariants
• SUSY-Breaking Parameters from RG Invariants at the LHC
• Complementarity of the CERN Large Hadron Collider and the $e^{+}{e}^{-}$ International Linear Collider
• Complementarity of LHC and ILC