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

2010 ◽  
Vol 617 (1-3) ◽  
pp. 362-364 ◽  
Author(s):  
Ph. Rosnet
Keyword(s):  
Cosmic Ray ◽  
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

The trigger system of mutron, a cosmic ray magnetic spectrometer

1978 ◽  
Vol 150 (3) ◽  
pp. 387-400 ◽  
Author(s):  
Shigeru Higashi ◽  
Ken Honda ◽  
Seinosuke Ozaki ◽  
Tamotsu Takahashi ◽  
Yoshiki Teramoto ◽  
...  
Keyword(s):  
Cosmic Ray ◽  
Magnetic Spectrometer ◽  
Trigger System

scholarly journals Installation of a Cosmic-Ray Trigger System to Commission the Belle II Experiment VerteX Detector with Cosmic Rays

2021 ◽  
Vol 31 (1) ◽  
pp. 100003
Author(s):  
Ahmed Halawani ◽  
Rachid Ayad ◽  
Mohammed Albalawi ◽  
Mansour Alatawi ◽  
Abdulaziz Alatawi ◽  
...  
Keyword(s):  
Cosmic Rays ◽  
Cosmic Ray ◽  
Trigger System ◽  
Vertex Detector ◽  
Belle Ii

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 Simulating a Measurement of the 2nd Knee in the Cosmic Ray Spectrum with an Atmospheric Fluorescence Telescope Tower Array

2014 ◽  
Vol 2014 ◽  
pp. 1-6
Author(s):  
Jiali Liu ◽  
Qunyu Yang ◽  
Yunxiang Bai ◽  
Zhen Cao
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Cosmic Rays ◽  
Event Rate ◽  
Cosmic Ray ◽  
Detector Response ◽  
Simulation Tool ◽  
Trigger System ◽  
Air Shower ◽  
Light Generation

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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