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Automatic Optimization of AMS with LabVIEW

  • V Palonen (a1) and P Tikkanen (a1)

Accelerator systems designed for a wide variety of ion beam analysis (IBA) applications usually have a multitude of beamline components and long beam lines. In the use of these systems, beam optimization is especially important for attaining high-precision accelerator mass spectrometry (AMS) results. The optimization involves multiple parameters, dependencies between parameters, and multiple optimization targets. To improve the repeatability and reliability of AMS results, we have developed a profiling program for automatic beam optimization. In our implementation, the accelerator control parameters, measured beam currents, and AMS detector count rates are all stored in a real-time database. The profiling routine can scan any accelerator parameter and fetch from the database the profile of any measured quantity as a function of the parameter. The routine is usually used to scan over roughly 20 essential parameters of the system and setting them to the optimum values. Automatic optimization is fast, easy to use, robust to noise, and gives reproducible results. In addition, the graphical output in the form of current and count rate profiles is highly informative. Automatic optimization together with other improvements to the AMS setup have enabled us to push the precision of the system to better than 0.2%.

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Selected Papers from the 2015 Radiocarbon Conference, Dakar, Senegal, 16–20 November 2015

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This list contains references from the content that can be linked to their source. For a full set of references and notes please see the PDF or HTML where available.

BE Longworth , KF von Reden , P Long , ML Roberts . 2015. A high output, large acceptance injector for the NOSAMS Tandetron AMS system. Nuclear Instruments and Methods in Physics Research B 361:211216.

V Palonen , P Tikkanen . 2015. A novel upgrade to Helsinki AMS: fast switching of isotopes with electrostatic deflectors. Nuclear Instruments and Methods in Physics Research B 361:263266.

V Palonen , T Tikkanen , J Keinonen . 2010. Using Car4AMS, the Bayesian AMS data analysis code. Radiocarbon 52(3):948952.

GC Watt , S Boronkay , AM Smith , MAC Hotchkis . 2013. The ANSTO Isotope Cycling System. Radiocarbon 55(2):308318.

W Xu , FD McDaniel . 2005. A LabVIEW-based expandable modular control system with a layered structure for a 3MV tandem accelerator. Nuclear Instruments and Methods in Physics Research B 241:890895.

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  • ISSN: 0033-8222
  • EISSN: 1945-5755
  • URL: /core/journals/radiocarbon
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