Physics affecting heavy impurity migration in tokamaks: benchmarking test-ion code ASCOT against TEXTOR tracer experiment - global deposition data

Published: 13 Mar 2019 | Version 1 | DOI: 10.17632/pszx48bc3x.1
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Description of this data

These two datasets comprise the Rutherford backscattering spectrometry results from the last global migration experiment in TEXTOR by MoF6 injection. The materials assessed with this technique were molybdenum, tungsten and ferritic metals (heaviest component: Ni or Cu - denoted "Ni" in the dataset). The data gives information about these materials deposited on the tokamak limiters, in 1E15/cm2 or ppm, at positions denoted in degrees (torus coordinate system). Details are given in the .txt file "column_names", as well as in the header comments of the Excel sheets.

Experiment data files

This data is associated with the following publication:

Physics affecting heavy impurity migration in tokamaks: Benchmarking test-ion code ASCOT against TEXTOR tracer experiment

Published in: Nuclear Materials and Energy

Latest version

  • Version 1

    2019-03-13

    Published: 2019-03-13

    DOI: 10.17632/pszx48bc3x.1

    Cite this dataset

    Weckmann, Armin (2019), “Physics affecting heavy impurity migration in tokamaks: benchmarking test-ion code ASCOT against TEXTOR tracer experiment - global deposition data”, Mendeley Data, v1 http://dx.doi.org/10.17632/pszx48bc3x.1

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Categories

Plasma, Rutherford Backscattering Spectrometry, Molybdenum, Tungsten, Plasma-Materials Interaction, Limiter Materials, Plasma Facing Component

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The files associated with this dataset are licensed under a Creative Commons Attribution 4.0 International licence.

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This dataset is licensed under a Creative Commons Attribution 4.0 International licence. What does this mean? You can share, copy and modify this dataset so long as you give appropriate credit, provide a link to the CC BY license, and indicate if changes were made, but you may not do so in a way that suggests the rights holder has endorsed you or your use of the dataset. Note that further permission may be required for any content within the dataset that is identified as belonging to a third party.

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