HistFitter Tutorial

Europe/Berlin
BAH 1 (DESY Hamburg)

BAH 1

DESY Hamburg

Description
HistFitter is a software framework for statistical data analysis.

HistFitter has been used extensively by the ATLAS Collaboration to analyze big datasets originating from proton-proton collisions at the Large Hadron Collider at CERN. Since 2012 HistFitter has been the standard statistical tool in searches for supersymmetric particles performed by ATLAS. HistFitter is a programmable and flexible framework to build, book-keep, fit, interpret and present results of data models of nearly arbitrary complexity.
It extends existing statistics tools in four key areas:

Programmable framework: HistFitter performs complete statistical analyses of pre-formatted input data samples, from a single user-defined configuration file, by putting together tools from several sources in a coherent and programmable framework.

Analysis strategy: HistFitter has built-in concepts of control, signal and validation regions, which are used to constrain, extrapolate and validate data model predictions across an analysis. The framework also introduces a statistically rigorous treatment of the validation regions.

Bookkeeping: HistFitter can keep track of numerous data models, including all generated input histograms, both before and after adjustment to measured data, and can perform statistical tests and model-parameter scans of all these models in an organized way. This introduces a powerful additional level of abstraction, which aids the processing of large collections of signal hypothesis tests.

Presentation and interpretation: HistFitter provides a collection of methods to determine the statistical significance of signal hypotheses, estimate the quality of likelihood fits, and produce publication-quality tables and plots expressing these results.

More information on HistFitter is at: http://histfitter.web.cern.ch/histfitter/


In this tutorial we provide an introduction to HistFitter on the first day and will discuss advanced topics on the second day, like:

- Fit stability
- Correct implementation of systematic uncertainties
- Configurations of model independent limit fits

and more.

The HistFitter Tutorial will be two full days.
The registration fee is 20 Euro, to be paid upon arrival.
There will be a reception on Monday evening.
Participants
  • Andreas Reiß
  • Anjishnu Bandyopadhyay
  • Cesar Augusto Beleno de la Barrera
  • Chiara Rizzi
  • Cora Fischer
  • Daniel Schmeier
  • Dominik Novatschin
  • Dominik Nowatschin
  • Jamie Tattersall
  • Katharina Jakobi
  • Krzysztof Rolbiecki
  • Manuel Sebastian Simon
  • Marc Stoever
  • Mareike Meyer
  • Maria Giulia Ratti
  • Maria Giulia Ratti
  • Nello Bruscino
  • Nicolas Köhler
  • Oliver Ricken
  • Pedro Urrejola
  • Silvia Fracchia
  • Simon Schmitz
  • Stefano Manzoni
  • Valentina Tudorache