Speaker
Dr
Amir Farbin
(European Organization for Nuclear Research (CERN))
Description
The EventView Analysis Framework is currently the basis for much of the analysis software employed by various
ATLAS physics groups (for example the Top, SUSY, Higgs, and Exotics working groups). In ATLAS's central data
preparation, this framework provides an assessment of data quality and the first analysis of physics data for the
whole collaboration. An EventView is a self-consistent interpretation of a physics event or equivalently the state of a
specific analysis. Analyses are constructed at runtime by chaining and configuring modular components consisting of
tools, C++ implementation of specific analysis algorithms, and modules, python grouping and configuration of
various tool. A large common library of general tools and modules serve as the building blocks of nearly all of the
steps of any analysis. The output is multiple simultaneous EventViews of every event, typically reflecting different
choices of selections, reconstruction algorithms, combinatoric assignments, or input data (eg full or fast
reconstruction or truth).
Summary
In this talk I will motivate the EventView concept through various physics examples and then detail the design and
implementation of this now widely-used analysis framework.
| Submitted on behalf of Collaboration (ex, BaBar, ATLAS) | ATLAS Offline Computing |
|---|
Author
Dr
Amir Farbin
(European Organization for Nuclear Research (CERN))
Co-authors
Mr
Akira Shibata
(Queen Mary University)
Dr
Kyle Cranmer
(Brookhaven National Lab)
