RooFit and RooStats Workbook

This is a demonstration of the ongoing effort to document and improve understanding and promote good usage of the RooFit, RooStats and HistFactory statistical tools, primarily for usage in High Energy Particle physics at the LHC.

• Introduction
  • Overview
• Statistical Tests
  • simple hypotheses for counting data
  • simple hypotheses for distributions
  • Hypothesis tests as basis for event selection
  • Composite hypotheses (with parameters) for distributions
  • Statistical inference with nuisance parameters
  • Response functions and subsidiary measurements
  • Statistical Inference with Nuisance Parameters
  • Binned and Unbinned Models
  • Joint Measurements
  • Advanced Topics
• Tools for Model Building and Good Practices
  • RooFit
  • Building joint models and data structures
  • Tools for model building and model manipulation
  • Good Practices
  • Understanding computational aspects of the likelihood
• Tools for Statistical Tests and Inference
  • Frequentist
  • Bayesian
  • Good Practices
  • Diagnostic Tools
  • Blinding
• Analysis-Ready Examples
  • RooFit Example with \(H\rightarrow\gamma\gamma\)
  • HistFactory Example with \(H\rightarrow 4\ell\)
  • HistFitter Analysis
  • Combine Harvester (CMS)

For CERN users

The following button should direct you to the CERN swan service, a folder should be checked out containing a series of notebooks containing all the tools and implementations referenced in this document.