scholarly journals Performance of the ALICE RPC-based muon trigger system in the first two years of data taking at the LHC

2012 ◽  
Author(s):  
Martino Gagliardi ◽  
Francesco Bossu
Keyword(s):  
Trigger System ◽  
Muon Trigger

scholarly journals Upgrade of the CMS muon trigger system in the barrel region

2017 ◽  
Author(s):  
Dinyar Rabady ◽  
Carlo Battilana ◽  
Roberto Carlin ◽  
Giuseppe Codispoti ◽  
Marco Dallavalle ◽  
...  
Keyword(s):  
Trigger System ◽  
Muon Trigger

Design and Performance of the ALICE Muon Trigger System

2006 ◽  
Vol 158 ◽  
pp. 21-24 ◽  
Author(s):  
R. Arnaldi ◽  
A. Baldit ◽  
V. Barret ◽  
N. Bastid ◽  
G. Blanchard ◽  
...  
Keyword(s):  
Trigger System ◽  
Muon Trigger ◽  
And Performance

scholarly journals Development of FPGA-based neural network regression models for the ATLAS Phase-II barrel muon trigger upgrade

2021 ◽  
Vol 251 ◽  
pp. 04031
Author(s):  
Rustem Ospanov ◽  
Changqing Feng ◽  
Wenhao Dong ◽  
Wenhao Feng ◽  
Shining Yang
Keyword(s):  
Neural Network ◽  
Phase Ii ◽  
Regression Models ◽  
Trigger System ◽  
Muon Trigger ◽  
Level Trigger ◽  
Lhc Physics ◽  
Effective Selection ◽  
Potential Applications ◽  
Selection Of

Effective selection of muon candidates is the cornerstone of the LHC physics programme. The ATLAS experiment uses a two-level trigger system for real-time selection of interesting collision events. The first-level hardware trigger system uses the Resistive Plate Chamber detector (RPC) for selecting muon candidates in the central (barrel) region of the detector. With the planned upgrades, the entirely new FPGA-based muon trigger system will be installed in 2025-2026. In this paper, neural network regression models are studied for potential applications in the new RPC trigger system. A simple simulation model of the current detector is developed for training and testing neural network regression models. Effects from additional cluster hits and noise hits are evaluated. Efficiency of selecting muon candidates is estimated as a function of the transverse muon momentum. Several models are evaluated and their performance is compared to that of the current detector, showing promising potential to improve on current algorithms for the ATLAS Phase-II barrel muon trigger upgrade.

scholarly journals ATLAS Level-1 Endcap Muon Trigger for Run 3

2020 ◽  
Vol 245 ◽  
pp. 01002
Author(s):  
Atsushi Mizukami
Keyword(s):  
Data Transfer ◽  
Phase 1 ◽  
Hadron Collider ◽  
High Transverse Momentum ◽  
Readout System ◽  
Trigger System ◽  
Muon Trigger ◽  
Combining Data ◽  
Level 1 ◽  
High Event

The Large Hadron Collider is expected to operate with a centre-ofmass energy of 14 TeV and an instantaneous luminosity of 2.0 1034 cm−2s−1 for Run 3 scheduled from 2021 to 2024. In order to cope with the high event rate, an upgrade of the ATLAS trigger system is required. The level-1 endcap muon trigger system identifies muons with high transverse momentum by combining data from fast muon trigger detectors, called Thin Gap Chambers on the Big Wheel. Inner muon detectors (the Small Wheel and the Tile Calorimeter) coincidence was introduced to reduce fake muon contamination. In the ongoing Phase-1 upgrade the present Small Wheel is replaced with the New Small Wheel and additional Resistive Plate Chambers are installed in the inner region of the ATLAS muon spectrometer for the endcap muon trigger. Precision track information from the new detectors can be used as part of the muon trigger logic to enhance the performance significantly. The trigger processor board, Sector Logic, has been upgraded to handle the additional data from the new detectors. The new Sector Logic board has a modern FPGA to make use of Multi-Gigabit transceiver technology, which is used to receive data from the new detectors. The readout system for trigger data has also been re-designed to minimize the use of custom electronics and instead use commercial computers and network switches, by using TCP/IP for the data transfer. The new readout system uses a software-based data-handling. This paper describes the development of the level-1 endcap muon trigger and its readout system for Run 3.

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