Author: Kiy, S.
Paper Title Page
TU2C4 Beam Tuning Automation Activities at TRIUMF 52
 
  • S. Kiy, F. Ames, A. Andres, R.A. Baartman, H. Bagri, K. Ezawa, W. Fedorko, P.M. Jung, O.K. Kester, K.E. Lucow, J. Nasser, T. Planche, S.D. Rädel, B.E. Schultz, O. Shelbaya, B. Stringer, D.C. Thomson, D.Y. Wang, K.C. Wu
    TRIUMF, Vancouver, Canada
  • J.A. Adegun
    UVIC, Victoria, Canada
  
  Funding: This activity is supported by MITACS IT23740
The par­ti­cle ac­cel­er­a­tor com­plex at TRI­UMF pro­vides beams for sec­ondary par­ti­cle pro­duc­tion in­clud­ing rare iso­topes. The post ac­cel­er­a­tion of rare iso­tope ions de­mands fre­quent changes of beam prop­er­ties like en­ergy and changes of the ion species in terms of iso­tope and charge state. To fa­cil­i­tate these changes to beam prop­er­ties and species, a High Level Ap­pli­ca­tions (HLA) frame­work has been de­vel­oped that pro­vides the es­sen­tial el­e­ments nec­es­sary for app de­vel­op­ment: ac­cess to so­phis­ti­cated en­ve­lope sim­u­la­tions and any nec­es­sary beam­line data, in­te­gra­tion with the con­trol sys­tem, ver­sion con­trol, de­ploy­ment and issue track­ing, and train­ing ma­te­ri­als. With this frame­work, one can au­to­mate col­lec­tion of beam data and sub­se­quently pull that data into a model which then out­puts the nec­es­sary ad­just­ments to beam op­tics. Tun­ing based on this method is model cou­pled ac­cel­er­a­tor tun­ing (MCAT) and in­cludes pur­suits like the train­ing of ma­chine learn­ing (ML) agents to op­ti­mize cor­rec­tions ben­ders. A sum­mary of the frame­work will be pro­vided fol­lowed by a de­scrip­tion of the dif­fer­ent ap­pli­ca­tions of the MCAT method - both those cur­rently being pur­sued, and those en­vi­sioned for the fu­ture. 		 
slides icon Slides TU2C4 [1.890 MB]  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-HIAT2022-TU2C4  
About • Received ※ 21 June 2022 — Revised ※ 30 June 2022 — Accepted ※ 01 July 2022 — Issue date ※ 10 August 2022
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TUP19 First Tests of Model-Based Linac Phasing in ISAC-II 113
 
  • S. Kiy, R.A. Baartman, O.K. Kester, O. Shelbaya
    TRIUMF, Vancouver, Canada
  
  As the e-linac and ARIEL fa­cil­i­ties at TRI­UMF progress, the im­pend­ing com­plex­ity of op­er­at­ing three si­mul­ta­ne­ous rare ion beams (RIBs) ap­proaches. To help pre­pare for this, a frame­work for the de­vel­op­ment of High Level Ap­pli­ca­tions has been con­stucted, upon which mul­ti­ple av­enues for im­prove­ment to­wards model-based and au­to­mated tun­ing are being pur­sued. Along one of these av­enues, the 40-cav­ity su­per­con­duct­ing ISAC-II heavy ion linac has been stud­ied and mod­elled in the en­ve­lope code tran­soptr. This has al­lowed for real-time in­te­gra­tion through the on-axis fields, fit­ting focal strengths of so­le­noids to achieve de­sired beam waists, and cal­cu­la­tion of nec­es­sary cav­ity phases to achieve a de­sired out­put en­ergy for given input beam pa­ra­me­ters. Ini­tial tests have been com­pleted, suc­cess­fully phas­ing up to 37 cav­i­ties using the tran­soptr model and achiev­ing a final out­put en­ergy within 1% of the ex­pected while main­tain­ing nom­i­nal (>90%) trans­mis­sion. A sum­mary of the cal­i­bra­tion of the model to the ma­chine is given, fol­lowed by re­sults of the phas­ing tests and an out­look to­wards fu­ture im­prove­ments.  
poster icon Poster TUP19 [0.355 MB]  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-HIAT2022-TUP19  
About • Received ※ 26 June 2022 — Revised ※ 01 July 2022 — Accepted ※ 10 August 2022 — Issue date ※ 29 September 2022
Cite • reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)