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@ARTICLE{Wei:904087,
      author       = {Wei, Yanling and Liu, Liang and Yu, Deliang and von
                      Hellermann, Manfred and Chen, Wenjin and Wang, Jie and Ma,
                      Qian and He, Xiaoxue and He, Xiaofei},
      title        = {{A}nalysis of {HL}-2{A} charge exchange spectra using
                      parallel genetic algorithm},
      journal      = {Fusion engineering and design},
      volume       = {168},
      issn         = {0920-3796},
      address      = {New York, NY [u.a.]},
      publisher    = {Elsevier},
      reportid     = {FZJ-2021-05657},
      pages        = {112680 -},
      year         = {2021},
      note         = {kein Zugriff auf Postprint},
      abstract     = {In this work, we present a new method based on parallel
                      genetic algorithm (GA) for in-between shot data analysis of
                      the Charge-Exchange (CX) spectra on the HL-2A tokamak. The
                      neutral beam induced active CX spectra is a powerful ion
                      diagnostic technique to provide spatially resolved ion
                      temperature and rotation velocity measurements on fusion
                      devices. Currently CX spectra obtained in HL-2A experiments
                      are mainly analyzed by the CXSFIT code [A. D. Whiteford,
                      et.al, 2007]. While the analysis itself is fast, its
                      accuracy relies on proper setup of the initial values for
                      the spectral fitting parameters. Time-consuming manual
                      interventions are needed. In the new parallel GA code, a
                      two-loop GA analysis is used to gradually update the fitting
                      parameter search ranges, which enables automatic analysis. A
                      parallel algorithm based on the Linux Message Passing
                      Interface (MPI) cluster is adapted to speed up the process.
                      In a test run, for a set of 1600 data slices, the total time
                      elapsed with 8 CPU nodes is about 310 s (0.2 s per data
                      slice), which is efficient for in-between shot analysis on
                      HL-2A. The uncertainty calculations using virtual CX signals
                      with a noise level up to $5\%$ show that the accuracies for
                      ion temperature and rotation velocity are better than
                      $10.14\%$ and $2.14\%,$ respectively. The ion temperature
                      and rotation velocity obtained by applying the new parallel
                      genetic algorithm on experimental CX data show good
                      agreement with the conventional CXSFIT results.},
      cin          = {IEK-4 / IEK-1},
      ddc          = {530},
      cid          = {I:(DE-Juel1)IEK-4-20101013 / I:(DE-Juel1)IEK-1-20101013},
      pnm          = {134 - Plasma-Wand-Wechselwirkung (POF4-134)},
      pid          = {G:(DE-HGF)POF4-134},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000670075800010},
      doi          = {10.1016/j.fusengdes.2021.112680},
      url          = {https://juser.fz-juelich.de/record/904087},
}