Speaker
Dr
Robert Bainbridge
(Imperial College London)
Description
The CMS silicon strip tracker is unprecedented in terms of its size and
complexity, providing a sensitive area of >200 m^2 and comprising 10M
readout channels. Its data acquisition system is based around a custom
analogue front-end ASIC, an analogue optical link system and an
off-detector VME board that performs digitization, zero-suppression and
data formatting. These data are forwarded to the CMS online computing
farm, which performs reconstruction and provides the high-level trigger
(HLT) using tools defined within the offline software framework. The
strip tracker geometry and high-multiplicity events combine to create
very large data volumes, which must be “unpacked” from a custom format
into objects handled by the reconstruction chain. This must be done
within stringent time quotas imposed by the available online computing
resources. We review the issues and requirements for HLT, solutions for
optimizing the low-level reconstruction chain, such as regional
unpacking, and results based on simulation and the expected final
detector configuration.
| Submitted on behalf of Collaboration (ex, BaBar, ATLAS) | CMS |
|---|
Authors
Mr
Matthew Wingham
(Imperial College London)
Dr
Robert Bainbridge
(Imperial College London)
Co-authors
Dr
Boris Mangano
(University of California, San Diego)
Dr
Christopher D. JONES
(Cornell University)
Dr
Domenico Giordano
(INFN & Università di Bari)
Dr
Joanne Cole
(Rutherford Appleton Laboratory)
Dr
Jonathan Fulcher
(Imperial College London)
