scholarly journals Development of the muon tracking trigger based on Thin Gap Chamber for the ATLAS experiment at High-Luminosity LHC

2019 ◽  
Author(s):  
Haruka Asada
2017 ◽  
Vol 12 (04) ◽  
pp. C04001-C04001 ◽  
Author(s):  
R. Blanco ◽  
H. Zhang ◽  
C. Krämer ◽  
F. Ehrler ◽  
R. Schimassek ◽  
...  

2020 ◽  
Vol 245 ◽  
pp. 01021
Author(s):  
Stefano Giagu

The Level-0 muon trigger system of the ATLAS experiment will undergo a full upgrade for the High Luminosity LHC to stand the challenging requirements imposed by the increase in instantaneous luminosity. The upgraded trigger system will send raw hit data to off-detector processors, where trigger algorithms run on a new generation of FPGAs. To exploit the flexibility provided by the FPGA systems, ATLAS is developing novel precision deep neural network architectures based on trained ternary quantisation, optimised to run on FPGAs for efficient reconstruction and identification of muons in the ATLAS “Level-0” trigger. Physics performance in terms of efficiency and fake rates and FPGA logic resource occupancy and timing obtained with the developed algorithms are discussed.


2020 ◽  
Vol 35 (34n35) ◽  
pp. 2044005
Author(s):  
Francesco Guescini

Many theories beyond the Standard Model predict new phenomena accessible by the Lhc. Searches for new physics are performed using the Atlas experiment at the Lhc focusing on exotic signatures that are predicted in several theories, excluding supersymmetry. The results of recent searches using 13 TeV data, with the exception of those for Dark Matter signatures, and their interplay and interpretation are presented. Prospects for searches at the High Luminosity Lhc are also discussed.


2019 ◽  
Vol 214 ◽  
pp. 01009
Author(s):  
Shota Hayashida

Events containing muons in the final state are important for many physics analyses performed by the ATLAS experiment at the Large Hadron Collider. To collect such events, an efficient and well-understood muon trigger is required. The ATLAS muon trigger consists of a hardware-based and a software-based subsystem. In order to cope with the high luminosity and pileup conditions in Run 2, several improvements have been implemented to suppress the trigger rate while maintaining a high efficiency. Recent improvements include addition of layers in the coincidence of the muon spectrometer and optimisation of a muon trigger isolation requirement, among others. An overview of the algorithms deployed by the ATLAS muon trigger and its performance in 2018 data taking is presented.


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