Abstract
The extremely high rate of events that will be produced in the future Large Hadron Collider requires the triggering mechanism to take precise decisions in a few nano-seconds. We present a study which used an artificial neural network triggering algorithm and compared it to the performance of a dedicated electronic muon triggering system. Relatively simple architecture was used to solve a complicated inverse problem. A comparison with a realistic example of the ATLAS first level trigger simulation was in favour of the neural network. A similar architecture trained after the simulation of the electronics first trigger stage showed a further background rejection.
Original language | English |
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Pages (from-to) | 222-227 |
Number of pages | 6 |
Journal | Nuclear Instruments and Methods in Physics Research, Section A: Accelerators, Spectrometers, Detectors and Associated Equipment |
Volume | 534 |
Issue number | 1-2 |
DOIs | |
State | Published - 21 Nov 2004 |
Event | Proceedings of the IXth International Workshop - Tsukuba, Japan Duration: 1 Dec 2003 → 5 Dec 2003 |
Keywords
- HEP
- Neural network
- Trigger