Statistical methods in LHC data analysis introduction

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Presentation transcript:

Statistical methods in LHC data analysis introduction Luca Lista INFN Napoli

Statistical methods in LHC data analysis Introduction This statistics tutorial is intended as the first part of a wider tutorial aiming at the use of RooFit and RooStats The purpose is to present selected statistics topics used for LHC data analysis manageable with RooFit and RooStats toolkits RooFit and RooStats will be presented on November 26 and 27 Agenda and slides on indico: http://indico.cern.ch/conferenceDisplay.py?confId=72320 Luca Lista Statistical methods in LHC data analysis

Statistical methods in LHC data analysis RooStats Advanced statistics toolkit available in ROOT since 5.22 New version expected next week RooStats Twiki: https://twiki.cern.ch/twiki/bin/view/RooStats/WebHome Address specific statistics questions to ATLAS and CMS Statistics committee Luca Lista Statistical methods in LHC data analysis

Statistical methods in LHC data analysis Prerequisites I assume you are familiar with: the basic concepts of probability theory what are Probability Density Functions most commonly used probability distributions, like: Binomial Poissonian Gaussian Luca Lista Statistical methods in LHC data analysis

Statistical methods in LHC data analysis Contents Part I Parameter estimates Maximum Likelihood and 2 fits Hypothesis testing Confidence intervals Part II Bayes theorem and Bayesian approach Upper limits Luca Lista Statistical methods in LHC data analysis