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Computer tomography on divertor impurity monitor for ITER including wall reflection effects
https://repo.qst.go.jp/records/82230
https://repo.qst.go.jp/records/82230a3d46c79-2553-4586-b17c-01774af9449d
Item type | 会議発表用資料 / Presentation(1) | |||||
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公開日 | 2021-03-17 | |||||
タイトル | ||||||
タイトル | Computer tomography on divertor impurity monitor for ITER including wall reflection effects | |||||
言語 | ||||||
言語 | eng | |||||
資源タイプ | ||||||
資源タイプ識別子 | http://purl.org/coar/resource_type/c_c94f | |||||
資源タイプ | conference object | |||||
アクセス権 | ||||||
アクセス権 | metadata only access | |||||
アクセス権URI | http://purl.org/coar/access_right/c_14cb | |||||
著者 |
夏目祥揮
× 夏目祥揮× Kajita, Shin× S. NEVEROV, Vladislav× I. KHUSNUTDINOV, Radmir× VESHCHEV, Evgeny× DE BOCK, Maarten× R. POLEVOI, Alexei× 田中宏彦× OHNO, Noriyasu× Hiroaki, Ogawa× Shinichi, Kitazawa× Kajita, Shin× Hiroaki, Ogawa× Shinichi, Kitazawa |
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抄録 | ||||||
内容記述タイプ | Abstract | |||||
内容記述 | The computer tomography for divertor impurity monitor, which measures plasma emissions in the divertor region, for ITER has been conducted using a ray-tracing technique. We have attempted four different solution methods for the inversion problem and compared the results. The solution methods which minimize errors in logarithmic scale had better performance than the methods which minimize errors in linear scale. This is likely due to the fact that the values in the emission profile vary in a wide range of orders of magnitude. The accuracy of the reconstruction has been investigated by changing discharge conditions and the number of field-of-views used. The deterioration in accuracy was most noticeable when the emission profile was reconstructed using only two field-of-views. In addition, the accuracy deteriorated, making the estimation more challenging, under discharge conditions with low emission intensity because of the wider range of emission intensity under such conditions. | |||||
会議概要(会議名, 開催地, 会期, 主催者等) | ||||||
内容記述タイプ | Other | |||||
内容記述 | The 29th International Toki Conference on Plasma and Fusion Research | |||||
発表年月日 | ||||||
日付 | 2020-10-27 | |||||
日付タイプ | Issued |