Energy confinement data of large fusion experiments have been analyzed in terms of dimensionless form free scaling functions. Several possible physical scenarios lead to different models with a certain number of degrees of freedom. These are used to set up the confinement fonction as a linear combination of dimensionless power law terms. Then one has to solve the problem, given a particular plasma model which is the optimum number of terms in the expansion, and which model is most likely in the light of the data. Based upon data containing the energy content for a wide variety of variable settings, predictions for single variable scans are made and compared to actual experiments. A very good agreement is obtained.
|Title of host publication||Maximum Entropy and Bayesian Methods Garching, Germany 1998|
|Editors||Wolfgang von der Linden, Volker Dose, Rainer Fischer, Roland Preuss|
|Number of pages||8|
|ISBN (Print)||978-94-010-5982-4 978-94-011-4710-1|
|Publication status||Published - 1999|
|Name||Fundamental Theories of Physics|
- Artificial Intelligence (incl. Robotics), Coding and Information Theory, Discrete Mathematics in Computer Science, Invariant Measure, model comparison, Prior Predictive Value, Probability Theory and Stochastic Processes, Statistics, general
Preuss, R., Dose, V., & Linden, W. V. D. (1999). Model Comparison in Plasma Energy Confinement Scaling. In W. V. D. Linden, V. Dose, R. Fischer, & R. Preuss (Eds.), Maximum Entropy and Bayesian Methods Garching, Germany 1998 (pp. 171-178). (Fundamental Theories of Physics). Springer Netherlands.