Volume 24 Issue 10
Sep.  2012
Turn off MathJax
Article Contents
Song Tianming, Li Sanwei, Yi Rongqing, et al. Uncertainty analysis for diagnosis of radiation temperature using Monte-Carlo sampling[J]. High Power Laser and Particle Beams, 2012, 24: 2351-2354. doi: 10.3788/HPLPB20122410.2351
Citation: Song Tianming, Li Sanwei, Yi Rongqing, et al. Uncertainty analysis for diagnosis of radiation temperature using Monte-Carlo sampling[J]. High Power Laser and Particle Beams, 2012, 24: 2351-2354. doi: 10.3788/HPLPB20122410.2351

Uncertainty analysis for diagnosis of radiation temperature using Monte-Carlo sampling

doi: 10.3788/HPLPB20122410.2351
  • Received Date: 2011-11-07
  • Rev Recd Date: 2012-02-20
  • Publish Date: 2012-10-15
  • Soft-X-ray spectrometers are used in diagnosis of the equivalent radiation temperature of hohlraum in indirectly driven inertial confinement fusion experiments. Uncertainties of the soft-X-ray optical elements and electronic devices of the spectrometer, and the recovery methods are determined, which influence the measurement of the radiation temperature. The uncertainty analysis method based on Monte-Carlo sampling is implemented and uncertainty of the radiation temperature including all kinds of uncertainty factors is obtained. The alignment of signals from different detection channels of the multi-channel spectrometer is analyzed separately, which proves to be a large uncertainty source.
  • loading
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索
    Article views (1621) PDF downloads(325) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return