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Title: Efficient design and verification of diagnostics for impurity transport experiments

Journal Article · · Review of Scientific Instruments
DOI:https://doi.org/10.1063/1.4997251· OSTI ID:1527103
ORCiD logo [1]; ORCiD logo [1];  [1];  [1];  [1]
  1. Massachusetts Inst. of Technology (MIT), Cambridge, MA (United States)
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Recent attempts to measure impurity transport in Alcator C-Mod using an x-ray imaging crystal spectrometer and laser blow-off impurity injector have failed to yield unique reconstructions of the transport coefficient profiles. This paper presents a fast, linearized model which was constructed to estimate diagnostic requirements for impurity transport experiments. The analysis shows that the spectroscopic diagnostics on Alcator C-Mod should be capable of inferring simple profiles of impurity diffusion DZ and convection VZ accurate to better than ±10% uncertainty, suggesting that the failure to infer unique DZ and VZ from experimental data is attributable to an inadequate analysis procedure rather than the result of insufficient diagnostics. Furthermore, the analysis reveals that even a modest spatial resolution can overcome a low time resolution. This approach can be adapted to design and verify diagnostics for transport experiments on any magnetic confinement device.

Research Organization:
Massachusetts Inst. of Technology (MIT), Cambridge, MA (United States); Oak Ridge Associated Univ., Oak Ridge, TN (United States)
Sponsoring Organization:
USDOE Office of Science (SC), Fusion Energy Sciences (FES)
Grant/Contract Number:
FC02-99ER54512; AC05-06OR23100
OSTI ID:
1527103
Alternate ID(s):
OSTI ID: 1417080
Journal Information:
Review of Scientific Instruments, Vol. 89, Issue 1; ISSN 0034-6748
Publisher:
American Institute of Physics (AIP)Copyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 5 works
Citation information provided by
Web of Science

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Cited By (2)

A systematic approach to optimize excitations for perturbative transport experiments journal August 2018
On the importance of model selection when inferring impurity transport coefficient profiles journal November 2019

Figures / Tables (16)

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