Online pattern recognition for the ALICE high level trigger
| Autor: | Dieter Røhrich, A. Vestbo, Volker Lindenstruth, J. Lien, T.M. Steinbeck, Haavard Helstrup, R. Bramm, Bernhard Skaali, Constantin Loizides, Kjetil Ullaland, R. Stock, Arne Wiebalck |
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| Rok vydání: | 2003 |
| Předmět: |
Physics
Nuclear and High Energy Physics Time projection chamber High level trigger business.industry Pattern recognition Hough transform law.invention law Pattern recognition (psychology) Cluster (physics) Artificial intelligence Alice (programming language) business Instrumentation computer Cam follower computer.programming_language |
| Zdroj: | Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment. 502:443-445 |
| ISSN: | 0168-9002 |
| DOI: | 10.1016/s0168-9002(03)00464-9 |
| Popis: | The ALICE High Level Trigger system needs to reconstruct events online at high data rates. Focusing on the Time Projection Chamber we present two pattern recognition methods under investigation: the sequential approach (cluster finding, track follower) and the iterative approach (Hough Transform, cluster assignment, re-fitting). The implementation of the former in hardware indicates that we can reach the designed inspection rate for p–p collisions of 1 kHz with 98% efficiency. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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