Inversion techniques to obtain local rotation velocity and ion temperature profiles for the x-ray crystal spectrometer on EAST

Lin, Zichao; Zhang, Hongming; Wang, Fudi; Bae, Cheonho; Jia, Fu; Jin, Y. J.; Lü, Di; Fu, Shihua; Li, Jiankang; Lyu, Bo

doi:10.1088/2058-6272/acc503

Cited by 2 publications

(1 citation statement)

References 22 publications

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“…The uncertainties of H 98y2 mainly come from the calculation of power absorption of NBI and LHW, which had been evaluted in EAST, and the error ultimately transmitted by P abs and W th is about 13.6% [28,29]. And the evaluation of T e and T i in EAST can be referred in [30,31]. As shown in the figure 1(a), H 98y2 shows an evident increase from 0.65 to 1.03 with the increase of T i /T e .…”

Section: Experimental Observationsmentioning

confidence: 99%

T_i/T_e effects on transport in EAST low q₉₅ plasmas

He,

Qian,

et al. 2024

Nucl. Fusion

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Enhanced confinement is observed in EAST low q95 (q95<3.5) plasmas with the temperature ratio (Ti/Te) increasing. A statistically significant positive correlation between H98y2 and Ti/Te has been established. Increased Ti\ triggerd by Neutral Beam Injection (NBI) in experiments maintaining constant leads initially to an improved Ti/Te ratio, which subsequently mitigates heat transport in the ion channel.The Trapped Gyro-Landau Fluid (TGLF) transport model was applied to analyse the dependence of the turbulent transport on Ti/Te. Simulation results demonstrate that the Ion Temperature Gradient (ITG) mode is stabilized in high Ti/Te plasma, with ion flux results from predictive modelling (TGLF-SCAN) further validating this effect. These findings corroborate the Weiland model and complement one another. This study contributes to a deeper understanding of how the dimensionless parameter Ti/Te influences plasma transport, and helps demonstrate the feasibility of operations under the low q95 condition required for the ITER-inductive scenario in the new Ti/Te regime.

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Section: Experimental Observationsmentioning

confidence: 99%

T_i/T_e effects on transport in EAST low q₉₅ plasmas

He,

Qian,

et al. 2024

Nucl. Fusion

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Prediction of plasma rotation velocity and ion temperature profiles in EAST Tokamak using artificial neural network models

Lin,

Zhang,

Wang

et al. 2024

Nucl. Fusion

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Artificial neural network models have been developed to predict rotation velocity and ion temperature profiles on the EAST tokamak based on spectral measurements from the X-ray crystal spectrometer. Both Deep Neural Network (DNN) and Convolutional Neural Network (CNN) models have been employed to infer line-integrated ion temperatures. The predicted results from these two models exhibit a strong correlation with the target values, providing an opportunity for cross-validation to enhance prediction accuracy. Notably, the computational speed of these models has been significantly increased, surpassing traditional methods by over tenfold. Furthermore, the investigation of input data range and error prediction serves as the foundation for future automated calculation process. Finally, CNNs have also been employed to predict line-integrated rotation velocity profiles and inverted ion temperature profiles for their robustness in the training process. It is noted that these algorithms are not restricted to any specific physics model and can be readily adapted to various fusion devices.

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Inversion techniques to obtain local rotation velocity and ion temperature profiles for the x-ray crystal spectrometer on EAST

Cited by 2 publications

References 22 publications

T_i/T_e effects on transport in EAST low q₉₅ plasmas

T_i/T_e effects on transport in EAST low q₉₅ plasmas

Prediction of plasma rotation velocity and ion temperature profiles in EAST Tokamak using artificial neural network models

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Inversion techniques to obtain local rotation velocity and ion temperature profiles for the x-ray crystal spectrometer on EAST

Cited by 2 publications

References 22 publications

Ti/Te effects on transport in EAST low q95 plasmas

Ti/Te effects on transport in EAST low q95 plasmas

Prediction of plasma rotation velocity and ion temperature profiles in EAST Tokamak using artificial neural network models

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Product

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T_i/T_e effects on transport in EAST low q₉₅ plasmas

T_i/T_e effects on transport in EAST low q₉₅ plasmas