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Measuring Supersymmetry

Abstract : If new physics is found at the LHC (and the ILC) the reconstruction of the underlying theory should not be biased by assumptions about high-scale models. For the mapping of many measurements onto high-dimensional parameter spaces we introduce SFitter with its new weighted Markov chain technique. SFitter determines the best-fitting parameter point and produces a ranked list of the most likely parameter points. More generally, SFitter constructs a likelihood map, which can be reduced to lower-dimensional profile likelihoods or Bayesian probability maps. We show how it should be possible to analyze high-dimensional new-physics parameter spaces at the LHC. A combination of LHC and ILC measurements might well be able to completely cover highly complex TeV-scale parameter spaces.
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http://hal.in2p3.fr/in2p3-00175463
Contributor : Sabine Starita <>
Submitted on : Friday, September 28, 2007 - 11:49:09 AM
Last modification on : Friday, November 6, 2020 - 3:34:44 AM

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R. Lafaye, T. Plehn, M. Rauch, D. Zerwas. Measuring Supersymmetry. European Physical Journal C: Particles and Fields, Springer Verlag (Germany), 2008, 54, pp.617-644. ⟨10.1140/epjc/s10052-008-0548-z⟩. ⟨in2p3-00175463⟩

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