scholarly journals The ALICE muon trigger system: Cosmic ray commissioning and first beam-induced events

Author(s):  
Ph. Rosnet
2017 ◽  
Author(s):  
Dinyar Rabady ◽  
Carlo Battilana ◽  
Roberto Carlin ◽  
Giuseppe Codispoti ◽  
Marco Dallavalle ◽  
...  
Keyword(s):  

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

1978 ◽  
Vol 150 (3) ◽  
pp. 387-400 ◽  
Author(s):  
Shigeru Higashi ◽  
Ken Honda ◽  
Seinosuke Ozaki ◽  
Tamotsu Takahashi ◽  
Yoshiki Teramoto ◽  
...  

2021 ◽  
Vol 31 (1) ◽  
pp. 100003
Author(s):  
Ahmed Halawani ◽  
Rachid Ayad ◽  
Mohammed Albalawi ◽  
Mansour Alatawi ◽  
Abdulaziz Alatawi ◽  
...  

2021 ◽  
Vol 251 ◽  
pp. 04031
Author(s):  
Rustem Ospanov ◽  
Changqing Feng ◽  
Wenhao Dong ◽  
Wenhao Feng ◽  
Shining Yang

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.


2014 ◽  
Vol 2014 ◽  
pp. 1-6
Author(s):  
Jiali Liu ◽  
Qunyu Yang ◽  
Yunxiang Bai ◽  
Zhen Cao

A fluorescence telescope tower array has been designed to measure cosmic rays in the energy range of 1017–1018 eV. A full Monte Carlo simulation, including air shower production, light generation and propagation, detector response, electronics, and trigger system, has been developed for that purpose. Using such a simulation tool, the detector configuration, which includes one main tower array and two side-trigger arrays, 24 telescopes in total, has been optimized. The aperture and the event rate have been estimated. Furthermore, the performance of theXmax⁡technique in measuring composition has also been studied.


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