Hole, M. J.; von Nessi, G.; Pretty, D.; Howard, J.; Blackwell, B.; Svensson, J.; Appel, L. C.
Recently, bayesian probability theory has been used at a number of experiments to fold uncertainties and interdependencies in the diagnostic data and forward models, together with prior knowledge of the state of the plasma, to increase accuracy of inferred physics variables. A new probabilistic framework, MINERVA, based on bayesian graphical models, has been used at JET and W7-AS to yield predictions of internal magnetic structure. A feature of the framework is the bayesian inversion for...[Show more]
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