Determining SUSY model parameters and masses at the LHC using cross-sections, kinematic edges and other observables.
Lester, Christopher G.
Parker, Michael A.
White, Martin J.
High Energy Physics, Cavendish Laboratory, University of Cambridge
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Lester, C. G., Parker, M. A., & White, M. J. (2005). Determining SUSY model parameters and masses at the LHC using cross-sections, kinematic edges and other observables..
We address the problem of mass measurements of supersymmetric particles at the Large Hadron Collider, using the ATLAS detector as an example. By using Markov Chain sampling techniques to combine standard measurements of kinematic edges in the invariant mass distributions of decay products with a measurement of a missing pT cross-section, we show that the precision of mass measurements at the LHC can be dramatically improved, even when we do not assume that we have measured the kinematic endpoints precisely, or that we have identified exactly which particles are involved in the decay chain causing the endpoints. The generality of the technique is demonstrated in a preliminary investigation of a non-universal SUGRA model, in which we relax the requirements of mSUGRA by breaking the degeneracy of the GUT scale gaugino masses. The model studied is compatible with the WMAP limits on dark matter relic density.
Beyond the Standard Model, SUGRA, Markov Chain, Dark Matter, Bayesian Analysis, Sampling, Metropolis Hastings Algorithm, Parameter Determination
This record's URL: http://www.dspace.cam.ac.uk/handle/1810/224222