Neural network trigger algorithms for heavy quark event selection in a fixed target high energy physics experiment

1992 ◽  
Vol 25 (4) ◽  
pp. 413-421 ◽  
Author(s):  
Lalit Gupta ◽  
Anand M. Upadhye ◽  
Bruce Denby ◽  
Salvator R. Amendolia ◽  
Giovanni Grieco
Keyword(s):  
Neural Network ◽  
Heavy Quark ◽  
High Energy Physics ◽  
High Energy ◽  
Fixed Target ◽  
Event Selection ◽  
Physics Experiment ◽  
Energy Physics

scholarly journals Analysis of Requirements for the Design of a Detector Control System in a High Energy Physics Experiment

2019 ◽  
Author(s):  
Juan Carlos Cabanillas Noris ◽  
Ildefonso León Monzón ◽  
Mario Iván Martínez Hernández ◽  
Solangel Rojas Torres
Keyword(s):  
Control System ◽  
High Energy Physics ◽  
High Energy ◽  
Physics Experiment ◽  
Energy Physics ◽  
Detector Control System

scholarly journals Interactions of Beams with Surroundings

2020 ◽  
pp. 183-203
Author(s):  
M. Brugger ◽  
H. Burkhardt ◽  
B. Goddard ◽  
F. Cerutti ◽  
R. G. Alia
Keyword(s):  
High Energy Physics ◽  
High Energy ◽  
Fixed Target ◽  
Fixed Target Experiments ◽  
Secondary Particles ◽  
Radiation Sources ◽  
Residual Gas ◽  
The Impact ◽  
High Energy Particles ◽  
Energy Physics

AbstractWith the exceptions of Synchrotron Radiation sources, beams of accelerated particles are generally designed to interact either with one another (in the case of colliders) or with a specific target (for the operation of Fixed Target experiments, the production of secondary beams and for medical applications). However, in addition to the desired interactions there are unwanted interactions of the high energy particles which can produce undesirable side effects. These interactions can arise from the unavoidable presence of residual gas in the accelerator vacuum chamber, or from the impact of particles lost from the beam on aperture limits around the accelerator, as well as the final beam dump. The wanted collisions of the beams in a collider to produce potentially interesting High Energy Physics events also reduces the density of the circulating beam and can produce high fluxes of secondary particles.

scholarly journals General-purpose parallel computing in a high-energy physics experiment at CERN

1996 ◽  
pp. 251-257 ◽  
Author(s):  
J. Apostolakis ◽  
L. M. Bertolotto ◽  
C. E. Bruschini ◽  
P. Calafiura ◽  
F. Gagliardi ◽  
...  
Keyword(s):  
Parallel Computing ◽  
High Energy Physics ◽  
High Energy ◽  
General Purpose ◽  
Physics Experiment ◽  
Energy Physics

scholarly journals Influence of Backside Energy Leakages from Hadronic Calorimeters on Fluctuation Measures in Relativistic Heavy-Ion Collisions

Universe ◽  
2019 ◽  
Vol 5 (5) ◽  
pp. 126
Author(s):  
Andrey Seryakov
Keyword(s):  
High Energy Physics ◽  
System Size ◽  
Heavy Ion ◽  
High Energy ◽  
Relativistic Heavy Ion Collisions ◽  
Research Subject ◽  
Fixed Target ◽  
Main Research ◽  
Ion Collisions ◽  
Energy Physics

The phase diagram of the strongly interacting matter is the main research subject for different current and future experiments in high-energy physics. System size and energy scan programs aim to find a possible critical point. One of such programs was accomplished by the fixed-target NA61/SHINE experiment in 2018. It includes six beam energies and six colliding systems: p + p, Be + Be, Ar + Sc, Xe + La, Pb + Pb and p + Pb. In this study, we discuss how the efficiency of centrality selection by forward spectators influences multiplicity and fluctuation measures and how this influence depends on the size of colliding systems. We use SHIELD and EPOS Monte-Carlo (MC) generators along with the wounded nucleon model, introduce a probability to lose a forward spectator and spectator energy loss. We show that for light colliding systems such as Be or Li even a small inefficiency in centrality selection has a dramatic impact on multiplicity scaled variance. Conversely, heavy systems such as Ar + Sc are much less prone to the effect.

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