Bayesian Comparison of Kinematic Viscosity Models in Reversed-Field Pinch Fusion Plasmas
摘要
The kinematic viscosity of reversed-field pinch fusion plasmas plays an important role in the physical understanding of helical self-organized states. Unlike previous studies that relied on correlation-based methods and simulations, this work employs Bayesian model comparison to objectively rank candidate viscosity models, accounting for model complexity and goodness-of-fit using data from the RFX-mod experiment. The Bayesian approach, exhibiting several advantages over conventional model comparison tools, reveals a clear preference for the perpendicular viscosity model.