scholarly journals Programmable combinational logic trigger system for high energy particle physics experiments

1977 ◽  
Vol 140 (3) ◽  
pp. 549-552 ◽  
Author(s):  
E.D. Platner ◽  
A. Etkin ◽  
K.J. Foley ◽  
J.H. Goldman ◽  
W.A. Love ◽  
...  
Keyword(s):  
Particle Physics ◽  
High Energy ◽  
High Energy Particle ◽  
Combinational Logic ◽  
Trigger System ◽  
Energy Particle ◽  
Physics Experiments

scholarly journals Evolutionary Algorithms for Tracking Algorithm Parameter Optimization

2021 ◽  
Vol 251 ◽  
pp. 03071
Author(s):  
Peter Chatain ◽  
Rocky Garg ◽  
Lauren Tompkins
Keyword(s):  
Evolutionary Algorithms ◽  
Particle Physics ◽  
High Energy ◽  
Machine Learning Techniques ◽  
High Energy Particle ◽  
Software Framework ◽  
Energy Particle ◽  
High Performing ◽  
Learning Techniques ◽  
Physics Experiments

The reconstruction of charged particle trajectories, known as tracking, is one of the most complex and CPU consuming parts of event processing in high energy particle physics experiments. The most widely used and best performing tracking algorithms require significant geometry-specific tuning of the algorithm parameters to achieve best results. In this paper, we demonstrate the usage of machine learning techniques, particularly evolutionary algorithms, to find high performing configurations for the first step of tracking, called track seeding. We use a track seeding algorithm from the software framework A Common Tracking Software (ACTS). ACTS aims to provide an experimentindependent and framework-independent tracking software designed for modern computing architectures. We show that our optimization algorithms find highly performing configurations in ACTS without hand-tuning. These techniques can be applied to other reconstruction tasks, improving performance and reducing the need for laborious hand-tuning of parameters.

All-Union Conference on High Energy Particle Physics

Atomic Energy ◽  
1956 ◽  
Vol 1 (4) ◽  
pp. 621-632
Author(s):  
V. A. Biryukov ◽  
B. M. Golovin ◽  
L. I. Lapidus
Keyword(s):  
Particle Physics ◽  
High Energy ◽  
High Energy Particle ◽  
Energy Particle ◽  
Union Conference
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