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Problem-Solving Environment for Beam Dynamics Analysis in Particle Accelerators

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Computational Science and Its Applications – ICCSA 2017 (ICCSA 2017)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 10408))

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Abstract

In particle accelerator physics the problem is that we can not see what is going on inside the working machine. There are a lot of packages for modelling the behaviour of the particles in numerical or analytical way. But for most physicists it is better to see the picture in motion to say exactly what is happening and how to influence on this. The goal of this work is to provide scientists with such a problem-solving environment, which can not only do some numerical calculations, but show the dynamics of changes as a motion 3D picture. To do this we use the power of graphical processors from both sides: for general purpose calculations and for there direct appointment – drawing 3D motion. Besides, this environment should analyse the behaviour of the system to provide the user with all necessary information about the problem and how to deal with it.

The work is supported by RFBR 16-07-01113A.

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Acknowledgements

The authors would like to express gratitude to Vladimir Korkhov for valuable help. And Serge Andrianov for useful explanations of physical processes in accelerators. Scientific research were performed using the equipment of the Research Park of St. Petersburg State University. The work was sponsored by the Russian Foundation for Basic Research under the projects: 16-07-01113 “Virtual supercomputer as a tool for solving complex problems”.

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Authors and Affiliations

  1. Saint-Petersburg State University, St. Petersburg, Russia

    Nataliia Kulabukhova, Alexander Bogdanov & Alexander Degtyarev

Authors
  1. Nataliia Kulabukhova
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  2. Alexander Bogdanov
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  3. Alexander Degtyarev
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Corresponding author

Correspondence to Nataliia Kulabukhova .

Editor information

Editors and Affiliations

  1. University of Perugia, Perugia, Italy

    Osvaldo Gervasi

  2. University of Basilicata, Potenza, Italy

    Beniamino Murgante

  3. Covenant University, Ota, Nigeria

    Sanjay Misra

  4. University of Trieste, Trieste, Italy

    Giuseppe Borruso

  5. Polytechnic University of Bari, Bari, Italy

    Carmelo M. Torre

  6. University of Minho, Braga, Portugal

    Ana Maria A.C. Rocha

  7. Monash University, Clayton, Victoria, Australia

    David Taniar

  8. Kyushu Sangyo University, Fukuoka, Japan

    Bernady O. Apduhan

  9. Saint Petersburg State University, Saint Petersburg, Russia

    Elena Stankova

  10. University of Trieste, Trieste, Italy

    Alfredo Cuzzocrea

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Kulabukhova, N., Bogdanov, A., Degtyarev, A. (2017). Problem-Solving Environment for Beam Dynamics Analysis in Particle Accelerators. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2017. ICCSA 2017. Lecture Notes in Computer Science(), vol 10408. Springer, Cham. https://doi.org/10.1007/978-3-319-62404-4_35

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  • DOI: https://doi.org/10.1007/978-3-319-62404-4_35

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-62403-7

  • Online ISBN: 978-3-319-62404-4

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