Statistical challenges of global SUSY fits

Roberto Trotta, Kyle Cranmer

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    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.

    Original languageEnglish (US)
    Title of host publicationProceedings of the PHYSTAT 2011 Workshop on Statistical Issues Related to Discovery Claims in Search Experiments and Unfolding
    Pages170-176
    Number of pages7
    StatePublished - Dec 1 2011
    EventPHYSTAT 2011 Workshop on Statistical Issues Related to Discovery Claims in Search Experiments and Unfolding - Geneva, Switzerland
    Duration: Jan 17 2011Jan 20 2011

    Publication series

    NameProceedings of the PHYSTAT 2011 Workshop on Statistical Issues Related to Discovery Claims in Search Experiments and Unfolding

    Other

    OtherPHYSTAT 2011 Workshop on Statistical Issues Related to Discovery Claims in Search Experiments and Unfolding
    CountrySwitzerland
    CityGeneva
    Period1/17/111/20/11

    ASJC Scopus subject areas

    • Computer Science Applications

    Cite this

    Trotta, R., & Cranmer, K. (2011). Statistical challenges of global SUSY fits. In Proceedings of the PHYSTAT 2011 Workshop on Statistical Issues Related to Discovery Claims in Search Experiments and Unfolding (pp. 170-176). (Proceedings of the PHYSTAT 2011 Workshop on Statistical Issues Related to Discovery Claims in Search Experiments and Unfolding).