Corazzina, L. (2025) Development of a pattern-matching algorithm for the L0Muon Barrel Trigger for the muon spectrometer of the ATLAS experiment. Il nuovo cimento C, 48 (3). pp. 1-6. ISSN 1826-9885
|
Text
ncc13294.pdf - Published Version Download (285kB) | Preview |
Abstract
The ATLAS Level-0 Muon trigger for the Phase-2 upgrade will use powerful Field-Programmable Gate Arrays (FPGAs) to perform fast trigger algorithms. In particular, the Barrel Sector Logic board will receive data from the RPC detectors and the Tile Calorimeter and provide muon candidates within a latency of a few hundred nanoseconds. Different approaches, such as geometrical methods, neural networks, and pattern matching, can be used to implement the trigger algorithms in the FPGA firmware. We discuss the development and optimization of a pattern-matching algorithm and present the preliminary results of our study.
Item Type: | Article |
---|---|
Subjects: | 500 Scienze naturali e Matematica > 530 Fisica |
Depositing User: | Marina Spanti |
Date Deposited: | 10 Jul 2025 14:22 |
Last Modified: | 10 Jul 2025 14:22 |
URI: | http://eprints.bice.rm.cnr.it/id/eprint/23630 |
Actions (login required)
![]() |
View Item |