2019
DOI: 10.1088/1741-4326/ab4251
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An improved understanding of the roles of atomic processes and power balance in divertor target ion current loss during detachment

Abstract: The process of divertor detachment, whereby heat and particle fluxes to divertor surfaces are strongly diminished, is required to reduce heat loading and erosion in a magnetic fusion reactor to acceptable levels. In this paper the physics leading to the decrease of the total divertor ion current (I t ), or 'rollover', is experimentally explored on the TCV tokamak through characterization of the location, magnitude and role of the various divertor ion sinks and sources including a complete analysis of particle … Show more

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Cited by 52 publications
(226 citation statements)
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“…Figure 11 provides a more general overview of the characteristic output PDFs, shown for 3 timesteps during a density ramp discharge (#56567) -respective of attached (~0.5 s), detachment-onset (~1.0 s) and detached (~1.2 s) operation. That particular discharge is discussed in more detail in section 6 and [11]. Over these three different times, the magnitude of the uncertainty and its asymmetry can vary strongly.…”
Section: Probabilistic Monte-carlo Analysismentioning
confidence: 99%
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“…Figure 11 provides a more general overview of the characteristic output PDFs, shown for 3 timesteps during a density ramp discharge (#56567) -respective of attached (~0.5 s), detachment-onset (~1.0 s) and detached (~1.2 s) operation. That particular discharge is discussed in more detail in section 6 and [11]. Over these three different times, the magnitude of the uncertainty and its asymmetry can vary strongly.…”
Section: Probabilistic Monte-carlo Analysismentioning
confidence: 99%
“…Over these three different times, the magnitude of the uncertainty and its asymmetry can vary strongly. In addition, as the fraction of emission due to recombination changes for a particular chord, the input parameters contributing most to the resulting uncertainty can change strongly; as has been investigated using a Kendall rank correlation technique in [11]. In other words: the main uncertainty cannot be attributed to a single (set of) parameters and depends strongly on the conditions present.…”
Section: Probabilistic Monte-carlo Analysismentioning
confidence: 99%
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