arXiv:1105.5244·v1·High Energy Physics — Phenomenology
Statistical Challenges of Global SUSY Fits
Roberto Trotta (Imperial)🇬🇧 · Kyle Cranmer (NYU)🇺🇸
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.
Comments: 7 pages, 3 figures. To appear in Proceedings of PHYSTAT11