Speaker
Dr
Christopher Jones
(CORNELL UNIVERSITY)
Description
The new CMS Event Data Model and Framework that will be used for the high level
trigger, reconstruction, simulation and analysis is presented. The new framework is
centered around the concept of an Event. A data processing job is composed of a
series of algorithms (e.g., a track finder or track fitter) that run in a particular
order. The algorithms only communicate via data stored in the Event. To facilitate
testing, all data items placed in the Event are storable to ROOT/IO using POOL. This
allows one to run a partial job (e.g., just track finding) and check the results
without having to go through any further processing steps. In addition, the
POOL/ROOT files generated by the new framework are directly browseable in ROOT.
This allows one to accomplish simple data analyses without any additional tools.
More complex studies can be supported in ROOT just by loading the appropriate shared
libraries which contain the dictionaries for the stored objects. By taking the time
now before data taking has begun to re-engineer the core framework, CMS hopes to
provide a clean system that will serve it well for the decades to come.
Primary author
Dr
Christopher Jones
(CORNELL UNIVERSITY)
Co-authors
Elizabeth Sexton-Kennedy
(Fermi National Accelerator Laboratory (FNAL))
Jim Kowalkowski
(Fermi National Accelerator Laboratory (FNAL))
Marc Paterno
(Fermi National Accelerator Laboratory (FNAL))
William Tanenbaum
(Fermi National Accelerator Laboratory (FNAL))
