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Electron Temperature Measurements in MST Using Integrated Data Analysis

Author: Lisa M Reusch
Requested Type: Consider for Invited
Submitted: 2014-05-30 11:49:30

Co-authors: M.E. Galante, D.J. Den Hartog, P. Franz, J.R. Johnson, M.B. McGarry, and H. D. Stephens

Contact Info:
University of Wisconsin - Madison
1150 University Ave.
Madison, WI   53703

Abstract Text:
Integrated data analysis (IDA) using Bayesian probability theory (BPT) is a robust analysis technique with which to obtain as much information as possible from limited amounts of data. IDA techniques combine data from separate diagnostics to extract a parameter of interest along with its uncertainty. The mutually consistent result has improved accuracy and precision over a single diagnostic due to the inclusion of more independent measurements. For example, electron temperature measurements in the Madison Symmetric Torus (MST) reversed field pinch show a factor of 4 decrease in the uncertainty after integration of soft x-ray (SXR) and Thomson scattering (TS) data compared to either diagnostic alone. The strength of BPT for IDA is its modularity, reliance only on forward models, and the ability to include background information such as measurement uncertainty or the fact that temperature cannot be negative. An IDA tool for MST has been developed using BPT for electron temperature measurements from the double-foil SXR tomography and TS diagnostics. Depending on discharge conditions, MST exhibits various temperature structures, including potentially non-axisymmetric structures. Models describing different temperature structures are being considered and tested. Criteria for determining the best temperature model will be discussed. This work is supported by the U.S. Department of Energy.

Characterization: 2.0


Workshop on Exploratory Topics in Plasma and Fusion Research (EPR) and US-Japan Compact Torus (CT) Workshop
August 5-8, 2014
Madison, Wisconsin

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