Intermittent electron density and temperature fluctuations and associated fluxes in the Alcator C-Mod scrape-off layer
arXiv:1803.05172 · doi:10.1088/1361-6587/aab726
Abstract
The Alcator C-Mod mirror Langmuir probe system has been used to sample data time series of fluctuating plasma parameters in the outboard mid-plane far scrape-off layer. We present a statistical analysis of one second long time series of electron density, temperature, radial electric drift velocity and the corresponding particle and electron heat fluxes. These are sampled during stationary plasma conditions in an ohmically heated, lower single null diverted discharge. The electron density and temperature are strongly correlated and feature fluctuation statistics similar to the ion saturation current. Both electron density and temperature time series are dominated by intermittent, large-amplitude burst with an exponential distribution of both burst amplitudes and waiting times between them. The characteristic time scale of the large-amplitude bursts is approximately 15μs. Large-amplitude velocity fluctuations feature a slightly faster characteristic time scale and appear at a faster rate than electron density and temperature fluctuations. Describing these time series as a superposition of uncorrelated exponential pulses, we find that probability distribution functions, power spectral densities as well as auto-correlation functions of the data time series agree well with predictions from the stochastic model. The electron particle and heat fluxes present large-amplitude fluctuations. For this low-density plasma, the radial electron heat flux is dominated by convection, that is, correlations of fluctuations in the electron density and radial velocity. Hot and dense blobs contribute approximately 6% of the total fluctuation driven heat flux.
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Cited by in corpus (10)
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- Stochastic modelling of blob-like plasma filaments in the scrape-off layer: Theoretical foundation
- Blob interaction in 2D scrape off layer simulations
- Numerical turbulence simulations of intermittent fluctuations in the scrape-off layer of magnetized plasmas
- Synthesizing impurity clustering in the edge plasma of tokamaks using neural networks
- Turbulent field fluctuations in gyrokinetic and fluid plasmas
- Outlier classification using Autoencoders: application for fluctuation driven flows in fusion plasmas
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