Particle transport constraints via Bayesian spectral fitting of multiple atomic lines

Sciortino, F.; Cao, N. M.; Howard, N. T.; Marmar, E. S.; Rice, J. E.

doi:10.1063/5.0043765

Particle transport constraints via Bayesian spectral fitting of multiple atomic lines

Journal Article · Tue May 04 00:00:00 EDT 2021 · Review of Scientific Instruments

DOI:https://doi.org/10.1063/5.0043765· OSTI ID:1851881

^[1]; ^[2]; ^[3]; Marmar, E. S. ^[3]; Rice, J. E. ^[3]

Massachusetts Inst. of Technology (MIT), Cambridge, MA (United States); Massachusetts Inst. of Technology (MIT), Cambridge, MA (United States)
New York Univ. (NYU), NY (United States). Courant Inst. of Mathematical Sciences
Massachusetts Inst. of Technology (MIT), Cambridge, MA (United States)

Optimized operation of fusion devices demands detailed understanding of plasma transport, a problem that must be addressed with advances in both measurement and data analysis techniques. In this work, we adopt Bayesian inference methods to determine experimental particle transport, leveraging opportunities from high-resolution He-like ion spectra in a tokamak plasma. The Bayesian spectral fitting code is used to analyze resonance (w), forbidden (z), intercombination (x, y), and satellite (k, j) lines of He-like Ca following laser blow-off injections on Alcator C-Mod. This offers powerful transport constraints since these lines depend differently on electron temperature and density, but also differ in their relation to Li-like, He-like, and H-like ion densities, often the dominant Ca charge states over most of the C-Mod plasma radius. Using synthetic diagnostics based on the AURORA package, we demonstrate improved effectiveness of impurity transport inferences when spectroscopic data from a progressively larger number of lines are included.

View Accepted Manuscript (DOE)

Research Organization:: Massachusetts Inst. of Technology (MIT), Cambridge, MA (United States)

Sponsoring Organization:: USDOE Office of Science (SC)

Grant/Contract Number:: SC0014264

OSTI ID:: 1851881

Alternate ID(s):: OSTI ID: 1781132

Journal Information:: Review of Scientific Instruments, Journal Name: Review of Scientific Instruments Journal Issue: 5 Vol. 92; ISSN 0034-6748

Publisher:: American Institute of Physics (AIP)Copyright Statement

Country of Publication:: United States

Language:: English

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Particle transport constraints via Bayesian spectral fitting of multiple atomic lines

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