Histogram comparison as a powerful tool for the search of new physics at LHC. Application to CMSSM

Abstract

We propose a rigorous and effective way to compare experimental and theoretical histograms, incorporating the different sources of statistical and systematic uncertainties. This is a useful tool to extract as much information as possible from the comparison between experimental data with theoretical simulations, optimizing the chances of identifying New Physics at the LHC. We illustrate this by showing how a search in the CMSSM parameter space, using Bayesian techniques, can effectively find the correct values of the CMSSM parameters by comparing histograms of events with multijets + missing transverse momentum displayed in the effective-mass variable. The procedure is in fact very efficient to identify the true supersymmetric model, in the case supersymmetry is really there and accessible to the LHC.

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Cited by in corpus (7)

• Should we still believe in constrained supersymmetry?
• Shedding Light on Dark Matter at Colliders
• Naturalness of the relaxion mechanism
• LHC-7 supersymmetry search interpretation within the pMSSM
• Overview of searches for dark matter at the LHC
• Bayesian analysis and naturalness of (Next-to-)Minimal Supersymmetric Models
• Experimental status of particle and astroparticle searches for supersymmetry