A pattern recognition scheme for large curvature circular tracks and an FPGA implementation using hash sorter
Conference
·
OSTI ID:15016997
Strong magnetic field in today's colliding detectors causes track recognition more difficult due to large track curvatures. In this document, we present a global track recognition scheme based on track angle measurements for circular tracks passing the collision point. It uses no approximations in the track equation and therefore is suitable for both large and small curvature tracks. The scheme can be implemented both in hardware for lower-level trigger or in software for higher-level trigger or offline analysis codes. We will discuss an example of FPGA implementations using ''hash sorter''.
- Research Organization:
- Fermi National Accelerator Lab. (FNAL), Batavia, IL (United States)
- Sponsoring Organization:
- USDOE
- DOE Contract Number:
- AC02-76CH03000
- OSTI ID:
- 15016997
- Report Number(s):
- FERMILAB-CONF-04-271-E; TRN: US0605214
- Resource Relation:
- Conference: Presented at 10th Workshop on Electronics for LHC and Future Experiments, Boston, Massachusetts, 13-17 Sep 2004
- Country of Publication:
- United States
- Language:
- English
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