Performance prediction of upgrading lithium beam emission spectroscopy to sodium beam emission spectroscopy diagnostic on EAST

Abstract The alkali beam emission spectroscopy diagnostic is an active spectroscopic diagnostic method that can measure edge electron density profile and density fluctuation. Due to the limitations of the previous lithium beam emission spectroscopy (Li-BES) (Zoletnik et al 2018 Rev. Sci. Instrum. 89 063503) installed on the Experimental Advanced Superconducting Tokamak (EAST), providing edge electron density profile and density fluctuation, its upgrade to a sodium beam emission spectroscopy (Na-BES) is now in process. Here, we report a performance prediction of upgrading the existing Li-BES diagnostic detecting the Li-I(2p–2s) line emission to the ongoing Na-BES diagnostic detecting the Na-I(3p–3s) line emission on EAST. This is done by calculating the occupation numbers of different atomic states of sodium and lithium resulting from collisions with the bulk plasma particles using a collisional-radiative model. During the calculations, the beam energy and the electron density profile (starting from an experimental measurement in an EAST H-mode discharge) are respectively varied. Calculation results demonstrate that, in contrast to Li(2p) state, the radial extension of Na(3p) occupation number distribution is shallower (still appropriate for pedestal measurements) and less influenced by the change in either beam energy or electron density profile. Moreover, although the occupation numbers of Na(3p) are approximately half those of Li(2p), under identical beam current conditions, the lower velocity of the sodium particles with a much higher density results in a higher total population of Na(3p) than that of Li(2p). Considering the significantly higher spontaneous transition coefficient of Na(3p) compared to Li(2p), along with the improved optical system, the signal intensity of Na-BES with a 50% pixel size is predicted to be 2–6 times higher than that of Li-BES in the edge region of EAST. When we further consider a much lower background impurity emission close to the Na-I line wavelength, our calculation suggests that a significantly improved system performance of such a Li-BES to Na-BES upgrade may be accomplished on EAST.

Authors

Institutions

Publication Details

Journal
Plasma Science and Technology
Published
2025-04-14
DOI
https://doi.org/10.1088/2058-6272/adcc7b
Primary Topic
Magnetic confinement fusion research
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Performance prediction of upgrading lithium beam emission spectroscopy to sodium beam emission spectroscopy diagnostic on EAST

Yuqi Xu, Guosheng Xu, Ning Yan, Yifeng Wang et al.
Plasma Science and Technology
Magnetic confinement fusion research
article

Performance prediction of upgrading lithium beam emission spectroscopy to sodium beam emission spectroscopy diagnostic on EAST

Yuqi Xu, Guosheng Xu, Ning Yan, Yifeng Wang, Yue Yu, You Li, Chenghao Wang, Ran Chen, G.H. Hu
article en

Abstract

Abstract The alkali beam emission spectroscopy diagnostic is an active spectroscopic diagnostic method that can measure edge electron density profile and density fluctuation. Due to the limitations of the previous lithium beam emission spectroscopy (Li-BES) (Zoletnik et al 2018 Rev. Sci. Instrum. 89 063503) installed on the Experimental Advanced Superconducting Tokamak (EAST), providing edge electron density profile and density fluctuation, its upgrade to a sodium beam emission spectroscopy (Na-BES) is now in process. Here, we report a performance prediction of upgrading the existing Li-BES diagnostic detecting the Li-I(2p–2s) line emission to the ongoing Na-BES diagnostic detecting the Na-I(3p–3s) line emission on EAST. This is done by calculating the occupation numbers of different atomic states of sodium and lithium resulting from collisions with the bulk plasma particles using a collisional-radiative model. During the calculations, the beam energy and the electron density profile (starting from an experimental measurement in an EAST H-mode discharge) are respectively varied. Calculation results demonstrate that, in contrast to Li(2p) state, the radial extension of Na(3p) occupation number distribution is shallower (still appropriate for pedestal measurements) and less influenced by the change in either beam energy or electron density profile. Moreover, although the occupation numbers of Na(3p) are approximately half those of Li(2p), under identical beam current conditions, the lower velocity of the sodium particles with a much higher density results in a higher total population of Na(3p) than that of Li(2p). Considering the significantly higher spontaneous transition coefficient of Na(3p) compared to Li(2p), along with the improved optical system, the signal intensity of Na-BES with a 50% pixel size is predicted to be 2–6 times higher than that of Li-BES in the edge region of EAST. When we further consider a much lower background impurity emission close to the Na-I line wavelength, our calculation suggests that a significantly improved system performance of such a Li-BES to Na-BES upgrade may be accomplished on EAST.

Plasma Science and TechnologyVol. 27(7)
University of Science and Technology of China (CN), Chinese Academy of Sciences (CN), Hefei Institutes of Physical Science (CN), Institute of Plasma Physics (CN)
National Natural Science Foundation of China, National Magnetic Confinement Fusion Program of China, Hefei Institutes of Physical Science, Chinese Academy of Sciences
Openalex Percentile: Top 96%
Magnetic confinement fusion research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.