Tutorials | Overview | Slide Show

Fitting and Generating

This tutorial is currently incomplete. Relevant segment of the retired 'advanced tutorial' have been moved here. A complete and revised version is expected to be available in Sep 2002.

• Outline
  • Fitting
    • Minimizing goodness-of-fit
    • -log(likelihood) vs chi^2
    • Projecting observables
    • Adding penalty functions / Langrange multipliers
    • Interactive MINUIT
    • Unphysical regions and boundary conditions
    • Exploring RooFitResult
  • Generating
    • Accept/reject vs optimized methods
    • Using prototype datasets
  • RooMCStudy - automatic toy Monte Carlo studies
    • Goodness-of-fit studies
  
  
• Presentation PDF (14 pages)
  
  
• Macros (plain source files)
  1. Interactive MINUIT
  2. Adding penalty functions/Langrange multipliers
  3. NLL versus Chi2 fits

Page maintained by Wouter Verkerke and David Kirkby