English

Statistical Challenges of Global SUSY Fits

High Energy Physics - Phenomenology 2011-05-27 v1 Data Analysis, Statistics and Probability

Abstract

We present recent results aiming at assessing the coverage properties of Bayesian and frequentist inference methods, as applied to the reconstruction of supersymmetric parameters from simulated LHC data. We discuss the statistical challenges of the reconstruction procedure, and highlight the algorithmic difficulties of obtaining accurate profile likelihood estimates.

Keywords

Cite

@article{arxiv.1105.5244,
  title  = {Statistical Challenges of Global SUSY Fits},
  author = {Roberto Trotta and Kyle Cranmer},
  journal= {arXiv preprint arXiv:1105.5244},
  year   = {2011}
}

Comments

7 pages, 3 figures. To appear in Proceedings of PHYSTAT11

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