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HistFitter Tutorial
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Europe/Berlin
BAH 1 (DESY Hamburg)
BAH 1
DESY Hamburg
Description
HistFitter is a software framework for statistical data analysis.
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.
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
