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Bayesian Integrated Data Analysis of Fast-Ion Measurements by Velocity-Space Tomography
Tech Univ Denmark, Dept Phys, Lyngby, Denmark.;Univ Milano Bicocca, Dept Phys, Milan, Italy.;Tech Univ Denmark, Dept Phys, Bldg 309, DK-2800 Lyngby, Denmark..
KTH, School of Electrical Engineering and Computer Science (EECS), Electrical Engineering, Fusion Plasma Physics.
KTH, School of Electrical Engineering and Computer Science (EECS), Electrical Engineering, Fusion Plasma Physics.
KTH, School of Electrical Engineering and Computer Science (EECS), Electrical Engineering, Fusion Plasma Physics.ORCID iD: 0000-0002-9546-4494
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Number of Authors: 12432018 (English)In: Fusion science and technology, ISSN 1536-1055, E-ISSN 1943-7641, Vol. 74, no 1-2, p. 23-36Article in journal (Refereed) Published
Abstract [en]

Bayesian integrated data analysis combines measurements from different diagnostics to jointly measure plasma parameters of interest such as temperatures, densities, and drift velocities. Integrated data analysis of fast-ion measurements has long been hampered by the complexity of the strongly non-Maxwellian fast-ion distribution functions. This has recently been overcome by velocity-space tomography. In this method two-dimensional images of the velocity distribution functions consisting of a few hundreds or thousands of pixels are reconstructed using the available fast-ion measurements. Here we present an overview and current status of this emerging technique at the ASDEX Upgrade tokamak and the JET toamak based on fast-ion D-alpha spectroscopy, collective Thomson scattering, gamma-ray and neutron emission spectrometry, and neutral particle analyzers. We discuss Tikhonov regularization within the Bayesian framework. The implementation for different types of diagnostics as well as the uncertainties are discussed, and we highlight the importance of integrated data analysis of all available detectors.

Place, publisher, year, edition, pages
TAYLOR & FRANCIS INC , 2018. Vol. 74, no 1-2, p. 23-36
Keywords [en]
Tokamaks, fast ions, velocity-space tomography
National Category
Fusion, Plasma and Space Physics
Identifiers
URN: urn:nbn:se:kth:diva-270530DOI: 10.1080/15361055.2017.1380482ISI: 000436997000004Scopus ID: 2-s2.0-85048105479OAI: oai:DiVA.org:kth-270530DiVA, id: diva2:1415239
Conference
2nd International Atomic Energy Agency (IAEA) Technical Meeting (TM) on Fusion Data Processing, Validation, and Analysis (IAEA-TM), MAY 30-JUN 02, 2017, Massachusetts Inst Technol Campus, Samberg Conf Ctr, Cambridge, MA
Note

QC 20200317

Available from: 2020-03-17 Created: 2020-03-17 Last updated: 2020-05-11Bibliographically approved

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Bergsåker, HenricBykov, IgorFrassinetti, LorenzoGarcia-Carrasco, AlvaroHellsten, TorbjörnJohnson, ThomasMenmuir, SheenaPetersson, PerRachlew, ElisabethRatynskaia, SvetlanaRubel, MarekStefanikova, EsteraStröm, PetterTholerus, EmmiTolias, PanagiotisOlivares, Pablo VallejosWeckmann, ArminZhou, Yushun
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