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https://doi.org/10.18429/JACoW-IPAC2018-THPAK030
Title Studies of Longitudinal Dynamics in the Micro-Bunching Instability Using Machine Learning
Authors
  • T. Boltz, M. Brosipresenter, E. Bründermann, A.-S. Müller, P. Schönfeldt, M. Yan
    KIT, Karlsruhe, Germany
  • M. Schwarz
    CERN, Geneva, Switzerland
Abstract The operation of synchrotron light sources with short electron bunches increases the emitted CSR power in the THz frequency range. However, the spatial compression leads to complex longitudinal dynamics, causing the formation of micro-structures in the longitudinal bunch profiles. The fast temporal variation and small scale of these micro-structures put challenging demands on their observation. At the KIT storage ring KARA (KArlsruhe Research Accelerator), diagnostics have been developed allowing direct observation of the dynamics by an electro-optical setup, and indirect observation by measuring the fluctuation of the emitted CSR. In this contribution, we present studies of the micro-structure dynamics on simulated data, obtained using the numerical Vlasov-Fokker-Planck solver Inovesa, and first applications on measured data. To deal with generated data sets in the order of terabytes in size, we apply the machine learning technique k-means to identify the dominant micro-structures in the longitudinal bunch profiles. Following this approach, new insights on the correlation of the CSR power fluctuation to the underlying longitudinal dynamics can be gained.
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Conference IPAC2018, Vancouver, BC, Canada
Series International Particle Accelerator Conference (9th)
Proceedings Link to full IPAC2018 Proccedings
Session MC5 Poster Session
Date 03-May-18   09:00–12:00
Main Classification 05 Beam Dynamics and EM Fields
Sub Classification D11 Code Developments and Simulation Techniques
Keywords longitudinal-dynamics, bunching, synchrotron, simulation, vacuum
Publisher JACoW Publishing, Geneva, Switzerland
Editors Shane Koscielniak (TRIUMF, Vancouver, BC, Canada); Todd Satogata (JLab, Newport News, VA, USA); Volker RW Schaa (GSI, Darmstadt, Germany); Jana Thomson (TRIUMF, Vancouver, BC, Canada)
ISBN 978-3-95450-184-7
Published June 2018
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Copyright © 2018 by JACoW, Geneva, Switzerland     CC-BY Creative Commons License
cc Creative Commons Attribution 3.0