Speaker
Dr
Amir Farbin
(European Organization for Nuclear Research (CERN))
Description
As we near the collection of the first data from the Large Hadron Collider, the
ATLAS collaboration is preparing the software and computing infrastructure to
allow quick analysis of the first data and support of the long-term steady-state
ATLAS physics program. As part of this effort considerable attention has been
payed to the "Analysis Model", a vision of the interplay of the software design,
computing constraints, and various physics requirements. An important input to this
activity has been the experience of Tevatron and B-Factory experiments, one topic
which was explored discussed in the ATLAS October 2006 Analysis Model
workshop. Recently, much of the Analysis Model has focused on ensuring the
ATLAS software framework supports the required manipulations of event data; the
event data design and content is consistent with foreseen calibration and physics
analysis tasks; the event data is optimized in size, access speed, and is accessible
both inside and outside the software framework; and that the analysis software may
be developed collaboratively.
Summary
In this talk, I will overview the lessons learned from
various High Energy Experiments and the resulting actions within the ATLAS
software.
| Submitted on behalf of Collaboration (ex, BaBar, ATLAS) | ATLAS Offline Computing |
|---|
Author
Dr
Amir Farbin
(European Organization for Nuclear Research (CERN))
Co-authors
Dr
Ketevi Assamagan
(Brookhaven National Lab)
Dr
Kyle Cranmer
(Brookhaven National Lab)
