Author: Ames, F.
Paper Title Page
MO2I2
 Radioactive Ion Beams at TRIUMF, ISAC and ARIEL: Status and Perspectives  
 
  • F. Ames
    TRIUMF, Vancouver, Canada
  
  TRI­UMF’s ISAC fa­cil­ity de­liv­ered for more than two decades ra­dioac­tive ion beams to ex­per­i­ments. The iso­topes are pro­duced by bom­bard­ing solid tar­gets with a beam of 500 MeV pro­tons. Singly charged ions up to 60 keV are ex­tracted, mass se­lected and dis­trib­uted to ex­per­i­ments. For ex­per­i­ments re­quir­ing higher en­ergy, they are ac­cel­er­ated up to 15 MeV/u by a heavy ion linac con­sist­ing of an RFQ, a room tem­per­a­ture drift tube struc­ture and a su­per­con­duct­ing linac. Ions with a mass > 30amu are charge state bred with an ECR ion source. A new fa­cil­ity under con­struc­tion (ARIEL) aims to drip­ple the amount of beam time avail­able to users. It com­bines two tar­get sta­tions, a high-res­o­lu­tion mass sep­a­ra­tor and an EBIS charge breeder. One tar­get sta­tion will pro­duce the iso­topes from up to 100 kW elec­trons at 30 MeV and photo fis­sion, while the other one with an ad­di­tional pro­ton beam from the TRI­UMF cy­clotron. Re­sults from the ex­ist­ing ISAC fa­cil­ity will be pre­sented. Plans for im­prove­ments to ISAC op­er­a­tion and the sta­tus of the ARIEL set up will be dis­cussed to­gether with an op­er­a­tional model to run si­mul­ta­ne­ously all three tar­get sta­tions.  
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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. 		 
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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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