scholarly journals Precision electromagnetic calorimetry at the energy frontier: The CMS ECAL at the LHC Run 2

2016 ◽  
Author(s):  
Badder Marzocchi
Keyword(s):  
Electromagnetic Calorimetry ◽  
Energy Frontier

scholarly journals Crystal collimator systems for high energy frontier

2017 ◽  
Vol 20 (7) ◽  
Author(s):  
A. I. Sytov ◽  
V. V. Tikhomirov ◽  
A. S. Lobko
Keyword(s):  
High Energy ◽  
Energy Frontier

scholarly journals Electromagnetic calorimetry using scintillating plastic fibres

1984 ◽  
Vol 225 (3) ◽  
pp. 530-533 ◽  
Author(s):  
H. Burmeister ◽  
P. Sonderegger ◽  
J.M. Gago ◽  
A. Maio ◽  
M. Pimenta ◽  
...  
Keyword(s):  
Electromagnetic Calorimetry

scholarly journals Quantum annealing algorithms for track pattern recognition

2020 ◽  
Vol 245 ◽  
pp. 10006
Author(s):  
Masahiko Saito ◽  
Paolo Calafiura ◽  
Heather Gray ◽  
Wim Lavrijsen ◽  
Lucy Linder ◽  
...  
Keyword(s):  
Pattern Recognition ◽  
Simulated Annealing ◽  
Hadron Collider ◽  
Recognition Algorithm ◽  
Quantum Annealing ◽  
Discovery Potential ◽  
Energy Frontier ◽  
Track Pattern ◽  
Annealing Algorithms ◽  
D Wave

The High-Luminosity Large Hadron Collider (HL-LHC) starts from 2027 to extend the physics discovery potential at the energy frontier. The HL-LHC produces experimental data with a much higher luminosity, requiring a large amount of computing resources mainly due to the complexity of a track pattern recognition algorithm. Quantum annealing might be a solution for an efficient track pattern recognition in the HL-LHC environment. We demonstrated to perform the track pattern recognition by using the D-Wave annealing machine and the Fujitsu Digital Annealer. The tracking efficiency and purity for the D-Wave quantum annealer are comparable with those for a classical simulated annealing at a low pileup condition, while a drop in performance is found at a high pileup condition, corresponding to the HL-LHC pileup environment. The tracking efficiency and purity for the Fujitsu Digital Annealer are nearly the same as the classical simulated annealing.

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