Model Comparison with Energy Confinement Data from Large Fusion Experiments

R. Preuss, V. Dose, W. Von Der Linden

Research output: Chapter in Book/Report/Conference proceedingOther chapter contribution


Bayesian probability theory is applied to the model selection problem in describing the energy confinement of a fusion plasma by scaling laws. Here several possible physical scenarios lead to different models with a certain number of free parameters which are used to assign dimensional information to the scaling law. Using a recently assembled database of the W7-AS stellar ator magnetic confinement device a dimensionally constrained analysis is performed. Probabilities for all models and the associated exponents of a power law scaling function are presented.
Original languageEnglish
Title of host publicationMaximum Entropy and Bayesian Methods
EditorsGary J. Erickson, Joshua T. Rychert, C. Ray Smith
PublisherSpringer Netherlands
Number of pages9
ISBN (Print)978-94-010-6111-7 978-94-011-5028-6
Publication statusPublished - 1998

Publication series

NameFundamental Theories of Physics
PublisherSpringer Netherlands


  • Artificial Intelligence (incl. Robotics), Coding and Information Theory, Discrete Mathematics in Computer Science, model comparison, Plasma Energy Confinement, Probability Theory and Stochastic Processes, Scaling Law Exponents, Statistics, general


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