Sherwood 2015

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Statistical Properties of XGC1 ITG Turbulence Data

Author: Tariq Rafiq
Requested Type: Poster Only
Submitted: 2015-01-19 16:44:09

Co-authors: V. TANGRI, A.H. KRITZ, C.S. CHANG, S.KU, and J. LANG

Contact Info:
Lehigh University
Physics Department, Lehigh Un
BETHLEHEM, Pennsylvan   18015
United States

Abstract Text:
Statistical properties of XGC1 ITG electrostatic ion-temperature-gradient (ITG) gyrokinetic simulation data for DIII-D geometry are analyzed. Statistical properties associated with potential fluctuations, turbulence intensity, radial flow velocity and turbulence intensity flux are examined. Analytic expressions are obtained for the distributions of the turbulence intensity and turbulence intensity flux when the distributions of the potential fluctuations and radial flow velocity are Gaussian. It is shown that the distributions obtained from the analysis of the XGC1 data are in good agreement with those given by the analytic expressions. The self organization of ITG turbulence fluctuations to form an EB staircase pattern is found. The potential distribution is found to be Gaussian away from the staircase locations but non-Gaussian at the staircase locations. The staircase patterns may reduce the ion heat transport and a manipulation of these patterns may be used to optimize heat transport in tokamaks.


March 16-18, 2015
The Courant Institute, New York University