Keyword: MMI
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MOCOXBS02 ERL Operation of S-DALINAC* operation, linac, cavity, beam-loading 1
 
  • M. Arnold, T. Bahlo, M. Dutine, R. Grewe, J.H. Hanten, L.E. Jürgensen, J. Pforr, N. Pietralla, F. Schließmann, M. Steinhorst, S. Weih
    TU Darmstadt, Darmstadt, Germany
 
  Funding: *Work supported by DFG through GRK 2128
The S-DALINAC is a superconducting electron accelerator operated at TU Darmstadt. It is running in recirculating operation since 1991. An upgrade done in the years 2015/2016 enables to use the S-DALINAC as an energy-recovery linac (ERL) [1]. The lattice is capable of a once- (up to 34 MeV) or twice-recirculating ERL operation (up to 68 MeV). For both modes dedicated beam dynamics simulations have been conducted. An important aspect is the effect of phase slippage and its influence on the quality of the decelerated beam. Furthermore, investigations regarding specialized diagnostic systems are currently ongoing. This is of great importance especially for the twice-recirculating ERL, where two beams of the same energy are transported through the same beam line. The commissioning of the different ERL modes started in 2017 and will be continued during upcoming beam times. This contribution will give an overview on the ERL modes at S-DALINAC. The beam dynamics simulations as well as diagnostics used will be discussed. Results and operational findings of the different ERL runs will be presented.
[1] N. Pietralla, Nuclear Physics News, Vol. 28, No. 2, (2018) 4.
 
slides icon Slides MOCOXBS02 [3.807 MB]  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-ERL2019-MOCOXBS02  
About • paper received ※ 15 September 2019       paper accepted ※ 31 October 2019       issue date ※ 24 June 2020  
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MOCOXBS05 Status of the MESA ERL Project experiment, linac, electron, cavity 14
 
  • F. Hug, K. Aulenbacher, R.G. Heine, D. Simon
    KPH, Mainz, Germany
  • K. Aulenbacher
    GSI, Darmstadt, Germany
  • K. Aulenbacher, S. Friederich
    HIM, Mainz, Germany
  • S. Friederich, P. Heil, R.F.K. Kempf, C. Matejcek
    IKP, Mainz, Germany
 
  Funding: This work has been supported by DFG through the PRISMA+ cluster of excellence EXC 2118/2019 and by the European Union’s Horizon 2020 Research and Innovation programme under Grant Agreement No 730871.
MESA is a recirculating superconducting accelerator under construction at Johannes Gutenberg-Universität Mainz. It can be operated in either external beam or ERL mode and will be used for high precision particle physics experiments. The operating beam current and energy in EB mode is 0.15 mA with polarized electrons at 155 MeV. In ERL mode a polarized beam of 1 mA at 105 MeV will be available. In a later construction stage of MESA the beam current in ERL-mode shall be upgraded to 10 mA (unpolarized). Civil construction and commissioning of components like electron gun, LEBT and SRF modules have been started already. We will give a project overview including the accelerator layout, the current status and an outlook to the next construction and commissioning steps.
 
slides icon Slides MOCOXBS05 [14.029 MB]  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-ERL2019-MOCOXBS05  
About • paper received ※ 14 September 2019       paper accepted ※ 06 November 2019       issue date ※ 24 June 2020  
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WEPNEC01 Status and Future Perspective of the TRIUMF E-Linac linac, electron, radiation, gun 70
 
  • S.D. Rädel, M. Alcorta, F. Ames, E. Chapman, K. Fong, B. Humphries, O.K. Kester, D. Kishi, S.R. Koscielniak, R.E. Laxdal, Y. Ma, T. Planche, M. Rowe, V.A. Verzilov
    TRIUMF, Vancouver, Canada
 
  The currently installed configuration of TRIUMF’s superconducting electron linac (e-linac) can produce an electron beam up to 30MeV and 10mA. Low beam power commissioning of the segment spanning the electron gun to high energy dump took place in summer 2018 with an attained beam energy of 25MeV. As the driver of the ARIEL project, the e-linac will deliver electrons to a photo-converter target station for the production of neutron-rich rare isotope beams (RIB) via photo fission. The e-linac will have sufficient beam power to support the demands of other user community rare isotope beams. This driver accelerator could server as a production machine for high field THz radiation and as irradiation center. A recirculation of the beam would be beneficial for RIB production at higher beam energy and would allow for high bunch compression to generate THz radiation. Such a system would also allow for the investigation of a high beam intensity energy recovery linac. To this end, TRIUMF is investigating the design of such a recirculation and the beam dynamics as a first step.  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-ERL2019-WEPNEC01  
About • paper received ※ 01 October 2019       paper accepted ※ 01 November 2019       issue date ※ 24 June 2020  
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WECOYBS04 Commissioning of theBERLinPro Diagnostics Line using Machine Learning Techniques gun, booster, diagnostics, laser 123
 
  • B.C. Kuske
    HZB, Berlin, Germany
  • A. Adelmann
    PSI, Villigen PSI, Switzerland
 
  Funding: Work supported by German Bundesministerium für Bildung und Forschung, Land Berlin and grants of Helmholtz Association
BERLinPro is an Energy Recovery Linac (ERL) project currently being set up at HZB, Berlin. Commissioning is planned for early 2020. HZB triggered and supported the development of release 2.0 of the particle tracking code OPAL, that is now also applicable to ERLs. OPAL is set up as an open source, highly parallel tracking code for large accelerator systems and many particles. Thus, it is idially suited to serve attempts of applying machine learning approaches to beam dynamics, as demonstrated in [1]. OPAL is used to calculate hundreds of randomized machines close to the commissioning optics of BERLinPro. This data base will be used to train a neural network, to establish a surrogate model of BERLinPro, much faster than any physical model including particle tracking. First steps, like the setup of the sampler and a sensitivity analysis of the resulting data are presented. The ultimate goal of this work is to use machine learning techniques during the commissioning of BERLinPro. Future steps are outlined. [1] A. Edelen, A. Adelmann, N. Neveu, Y. Huber, M. Frey, ’Machine Learning to enable orders of magnitude speedup in multi-objective optimization of particle accelerator systems’
 
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-ERL2019-WECOYBS04  
About • paper received ※ 30 October 2019       paper accepted ※ 07 November 2019       issue date ※ 24 June 2020  
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