Speaker
Brian Lee Winer
(Ohio State University (US))
Description
The long-term objectives for the Large Hadron Collider (LHC) include data sets with
integrated luminosity of several thousand inverse femtobarns. To achieve these,
the LHC will run with high intensity beams, which will cause multiple
interactions per beam crossing. The number of multiple interactions
will be in the range of 140-200. Triggering under these conditions is very
challenging and will require new capabilities at the first trigger stage. One
possible improvement is the ability to perform charge particle reconstruction in
the silicon tracking system. This presentation will review the benefits of including
tracking at the first level of the CMS trigger and will discuss the possibility
of using pattern recognition algorithms implemented in commercially available
FPGAs. The results of initial algorithm performance and a hardware model for a
demonstrator system will be presented.
| Oral or Poster Presentation | Oral |
|---|
Primary author
Brian Lee Winer
(Ohio State University (US))
