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Modeling of particle transport, neutrals and radiation in magnetically-confined plasmas with Aurora
- Source :
- Plasma Physics and Controlled Fusion
- Publication Year :
- 2021
- Publisher :
- IOP Publishing, 2021.
-
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.<br />8 pages + references, 5 figures
- 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)
Subjects
Details
- ISSN :
- 13616587 and 07413335
- Volume :
- 63
- Database :
- OpenAIRE
- Journal :
- Plasma Physics and Controlled Fusion
- Accession number :
- edsair.doi.dedup.....59cc03ad5c52f00bb086cef00bbb5dcd