1. Modeling of particle transport, neutrals and radiation in magnetically-confined plasmas with Aurora
- Author
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Richard Reksoatmodjo, Jeremy Lore, Saskia Mordijck, Orso Meneghini, Nathan Howard, Sterling Smith, Tomas Odstrcil, Earl Marmar, A. Cavallaro, F. Sciortino, and O. Linder
- Subjects
FOS: Physical sciences ,Applied Physics (physics.app-ph) ,Radiation ,Effective radiated power ,01 natural sciences ,010305 fluids & plasmas ,0103 physical sciences ,010306 general physics ,Neutral particle ,Spectroscopy ,Physics ,Range (particle radiation) ,Magnetic confinement fusion ,Charge (physics) ,Physics - Applied Physics ,Plasma ,Computational Physics (physics.comp-ph) ,Condensed Matter Physics ,Physics - Plasma Physics ,3. Good health ,Computational physics ,Plasma Physics (physics.plasm-ph) ,Nuclear Energy and Engineering ,Physics - Data Analysis, Statistics and Probability ,Physics - Computational Physics ,Data Analysis, Statistics and Probability (physics.data-an) - Abstract
We present Aurora, an open-source package for particle transport, neutrals and radiation modeling in magnetic confinement fusion plasmas. Aurora's modern multi-language interface enables simulations of 1.5D impurity transport within high-performance computing frameworks, particularly for the inference of particle transport coefficients. A user-friendly Python library allows simple interaction with atomic rates from the Atomic Data and Atomic Structure database as well as other sources. This enables a range of radiation predictions, both for power balance and spectroscopic analysis. We discuss here the superstaging approximation for complex ions, as a way to group charge states and reduce computational cost, demonstrating its wide applicability within the Aurora forward model and beyond. Aurora also facilitates neutral particle analysis, both from experimental spectroscopic data and other simulation codes. Leveraging Aurora's capabilities to interface SOLPS-ITER results, we demonstrate that charge exchange is unlikely to affect the total radiated power from the ITER core during high performance operation. Finally, we describe the ImpRad module in the OMFIT framework, developed to enable experimental analysis and transport inferences on multiple devices using Aurora., 8 pages + references, 5 figures
- Published
- 2021