2017
DOI: 10.1016/j.nimb.2017.05.054
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Modeling of soft N, M and L X-ray lines from tungsten relevant to plasma parameters in the WEST tokamak

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Cited by 2 publications
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“…In the case of changes in plasma evolution it has been shown that with Bayesian learning and maximum of fuzzy entropy can be reached all probabilistic distributions, including non-Gibbsians distributions [24,25]. As reference papers concerning the diagnostic of high-temperature plasma conditions in tokamak reactors under the effect of plasmawall interaction see [26][27][28][29].…”
Section: Resultsmentioning
confidence: 99%
“…In the case of changes in plasma evolution it has been shown that with Bayesian learning and maximum of fuzzy entropy can be reached all probabilistic distributions, including non-Gibbsians distributions [24,25]. As reference papers concerning the diagnostic of high-temperature plasma conditions in tokamak reactors under the effect of plasmawall interaction see [26][27][28][29].…”
Section: Resultsmentioning
confidence: 99%