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MO2I2 |
Radioactive Ion Beams at TRIUMF, ISAC and ARIEL: Status and Perspectives | |
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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. | ||
Slides MO2I2 [3.211 MB] | ||
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TU2C4 | Beam Tuning Automation Activities at TRIUMF | 52 |
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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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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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