Data adaptive control parameter estimation for scaling laws for magnetic fusion devicesR. Preuss, H. Dreier, A. Dinklage and V. Dose
Max-Planck-Institut für Plasmaphysik, EURATOM-Association - Wendelsteinstr. 1, Greifswald, Germany, EU
received 19 November 2007; accepted in final form 8 January 2008; published March 2008
published online 11 February 2008
Data Adaptive Planning determines the expected utility of a single new measurement using existing data and a data descriptive model. The method can be used for experimental planning. It is applied to scaling laws for magnetic fusion devices. Explicitly, the scaling of the stellarator W7-AS is examined for a subset of t = 1/3 data. In control parameter space regions of high utility are identified and serve for fixing discharge and machine parameters for upcoming discharges. It will be shown that a skillful analysis of experimental uncertainties is of utmost importance for significant results.
52.55.-s - Magnetic confinement and equilibrium.
52.25.Fi - Transport properties.
02.50.-r - Probability theory, stochastic processes, and statistics.
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