2009
DOI: 10.1088/0741-3335/51/10/105002
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Comparison of measured poloidal rotation in MAST spherical tokamak plasmas with neo-classical predictions

Abstract: Neo-classical tokamak plasma theory predicts poloidal rotation driven by the temperature gradient of order ~ few km/s. In conventional aspect ratio tokamak plasmas, e.g. on JET and DIII-D, poloidal velocities considerably in excess of the neo-classical values have been measured, particularly in the presence of internal transport barriers (ITBs), by means of charge-exchange recombination spectroscopy (CXRS) on the fully ionised C 6+ impurity ions. Comparison between such measurements and theoretical predictions… Show more

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Cited by 52 publications
(71 citation statements)
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“…22,24,46 Comparisons of measured carbon poloidal flow and neoclassical theory have shown a mix of reasonable agreement 47,48 and large disagreement. 46,49,50 The primary employment of the neoclassical theory resides in the computation of the poloidal flow velocity for comparison to experimental measurements, or completion of Eq.…”
Section: Neoclassical Theory Of Differential Toroidal Rotation Betmentioning
confidence: 91%
“…22,24,46 Comparisons of measured carbon poloidal flow and neoclassical theory have shown a mix of reasonable agreement 47,48 and large disagreement. 46,49,50 The primary employment of the neoclassical theory resides in the computation of the poloidal flow velocity for comparison to experimental measurements, or completion of Eq.…”
Section: Neoclassical Theory Of Differential Toroidal Rotation Betmentioning
confidence: 91%
“…Since the quantityω(ψ) can be obtained experimentally from equation (15), from a measurement of the inboard-outboard asymmetry of f t one can, in principle, accurately deduce the radial electric field, using only toroidal viewed measurements. If the electrostatic potential is a flux function, equations (5), (6) and (7) can be simply combined to obtain a variant of equation (16) accounting for arbitrary poloidal density variations.…”
Section: Theoretical Background and Measurement Principlementioning
confidence: 99%
“…The difference between these two correlation functions is that in (B.19) cross terms (e.g, ∆x∆t) between spatial and temporal relative coordinates are introduced by the fluctuating radial velocity. Then, when the PSF integral (1) is calculated in (32), mixing occurs between the spatial and temporal correlation parameters.…”
Section: Introducing a Fluctuating Radial Velocity Into The Model Of mentioning
confidence: 99%