RooStats: a tool for statistical data analysis and application at the CERN LHC
- Discussion of statistical methods
- technical presentation of the software
- live demo (if time allows)
- time for discussion
Abstract:
RooStats is a project to create advanced statistical tools required for the data analysis of the LHC experiments, aiming for problems associated with quantifying claims of discoveries or exclusion limits. The idea is to provide the major statistical techniques as a set of C++ classes with coherent interfaces which can be used on arbitrary model and datasets in a common way. The classes are built on top of RooFit, which provide a very convenient functionality for modeling the probability density functions or the likelihood functions, required inputs for any statistical technique. Furthermore, RooFit provides via the Workspace class, the functionality for easily creating models and for analysis combination. We will present in detail the design and the implementation of the different statistical methods of RooStats. These include various classes for interval estimation and for hypothesis test, based on different statistical techniques such as those based on the likelihood function, or on frequentists or bayesian statistics. These methods can be applied in complex problems, including cases with multi parameter of interests and various nuisance parameters. Finally, we will also show some example of applications to LHC analyses.
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DESY Hamburg, SR 2, 17:00
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EVO connection:
Title: Analysis Centre Seminars
Description: Analysis Centre Seminars
Community: Terascale
Phone Bridge ID: 1312410
Meeting URL:
http://evo.vrvs.org/evoGate/koala.jnlp?meeting=MaMDMt222sDeDi9M98DI9a
