Visualization for modeling of charged particle behavior inside electromagnetic complex fields

Sergey V. Matveyev; Alexander D. Ryabov; Tatyana D. Ryabova; Vladimir I. Rykalin

doi:10.1117/12.205947

7 April 1995 Visualization for modeling of charged particle behavior inside electromagnetic complex fields

Sergey V. Matveyev, Alexander D. Ryabov, Tatyana D. Ryabova, Vladimir I. Rykalin

Proceedings Volume 2410, Visual Data Exploration and Analysis II; (1995) https://doi.org/10.1117/12.205947
Event: IS&T/SPIE's Symposium on Electronic Imaging: Science and Technology, 1995, San Jose, CA, United States

Abstract

An example of visualization used in high energy physics is the visualization of photon trajectories in scintillating detectors and electrons in proportional chambers and new calorimeter detectors based on secondary electron emission. The main disadvantage of the latter is that the time interval of the electron collection from the detector's volume is too long. A visualization method presented provides a designer with a powerful simple tool for an optimization of the detector parameters. In the presented work we use two parameters for electron dynamics modelling: an initial energy and an angle of emission. A beam of noninteracting electrons is used as a model. The beam consists of particles with one of the parameters being varied. Thus, emission angles are varied holding initial kinetic energy of particles constant and vice versa. The beam motion is visualized as a colored surface. Each color corresponds to the definite value of the parameter. This approach allows us to investigate the behavior of the electron in the electromagnetic fields of different configuration dependent on the field parameters. All possible values of initial energy and emission angle were also taken into account.

Citation Download Citation

Sergey V. Matveyev, Alexander D. Ryabov, Tatyana D. Ryabova, and Vladimir I. Rykalin "Visualization for modeling of charged particle behavior inside electromagnetic complex fields", Proc. SPIE 2410, Visual Data Exploration and Analysis II, (7 April 1995); https://doi.org/10.1117/12.205947

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