Speakers
Christoph Wasicki
(Deutsches Elektronen-Synchrotron (DE))
Heather Gray
(CERN)
Simone Pagan Griso
(Lawrence Berkeley National Lab. (US))
Description
The track and vertex reconstruction algorithms of the ATLAS Inner Detector have demonstrated excellent performance in the early data from the LHC. However, the rapidly increasing number of interactions per bunch crossing introduces new challenges both in computational aspects and physics performance. We will discuss the strategy adopted by ATLAS in response to this increasing multiplicity by balancing physics requirements with the available computing resources. In addition the performance of the track and vertex reconstruction algorithms in this challenging environment will be demonstrated.
Authors
Heather Gray
(CERN)
Simone Pagan Griso
(Lawrence Berkeley National Lab. (US))
Co-author
Christoph Wasicki
(Deutsches Elektronen-Synchrotron (DE))
