Uncertainty Analysis in 3D Equilibrium Reconstruction
| Autor: | David Maurer, Mark Cianciosa, James D. Hanson |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Nuclear and High Energy Physics
Propagation of uncertainty Mechanical Engineering Process (computing) Inverse Parameter space Bayesian inference 01 natural sciences 010305 fluids & plasmas Set (abstract data type) Nuclear Energy and Engineering 0103 physical sciences Applied mathematics General Materials Science 010306 general physics Random variable Uncertainty analysis Civil and Structural Engineering Mathematics |
| Zdroj: | Fusion Science and Technology. 74:1-12 |
| ISSN: | 1943-7641 1536-1055 |
| Popis: | Reconstruction is an inverse process where a parameter space is searched to locate a set of parameters with the highest probability of describing experimental observations. Due to systematic errors and uncertainty in experimental measurements, this optimal set of parameters will contain some associated uncertainty. This uncertainty in the optimal parameters leads to uncertainty in models derived using those parameters. V3FIT is a three-dimensional (3D) equilibrium reconstruction code that propagates uncertainty from the input signals, to the reconstructed parameters, and to the final model. In this work, we describe the methods used to propagate uncertainty in V3FIT. Using the results of whole shot 3D equilibrium reconstruction of the Compact Toroidal Hybrid, this propagated uncertainty is validated against the random variation in the resulting parameters. Two different model parameterizations demonstrate how the uncertainty propagation can indicate the quality of a reconstruction. As a proxy for ... |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|