Integrated Interpretative Transport Modelling.pdfVIP

Integrated Interpretative Transport Modelling A. Dinklage , C. D. Beidler , R. Fischer , H. Maaßberg , J. Svensson , Yu. A. Turkin Max-Planck-Institut fur Plasmaphysik, EURATOM Association, Greifswald, Garching, Germany ¨ Integrated analysis of fusion data Usually, diagnostic data and modelling results are dealt with separately in the analysis of fusion data, i.e., experimental results are passed to modelling codes for addressing physi- cal issues. But interdependencies of modelled and measured parameters are numerous. In addition to the increase of the reliability of physics results, these entanglements allow for ac- cessing barely measurable quantities more accurately, e.g., particle and heat fluxes. The goal of this paper is to introduce a framework for inclusion of modelling results to data analysis. Application to W7-AS data and transport modelling will be discussed. The notion of integrated modelling and integrated data analysis [1] is used here for the con- cise combination of different sources of information such as different diagnostics results. The methods of Bayesian probability theory will be employed in order to arrive at a comprehen- sive modelling and data analysis. Technically, the approach uses raw data and their respective uncertainties and yields estimates for all parameters entering the model, in particular those quantities, which are of physical interest. The motivation for a framework allowing for in- tegrated analyses arises from physically motivated requirements in large, long-pulse fusion devices. E.g., the operation of W7-X plasmas on time scales large with respect to the typical configuration relaxation time ( ) requires formalized on-line analyses of validated physics quantities. Moreover, huge amounts of