Identification of core ion cyclotron instabilities on HL-2A tokamak

Liu, Linzi; Tong, Ruihai; Zou, Xiaolan; Chen, Haotian; Chen, Yang; Dong, Guanqi; Hao, Guangzhou; He, Xiaoxue; Han, Yuxiao; Ji, Xiaoquan; Liang, Anshu; Li, Bo; Li, Jiquan; Li, Yonggao; Liu, Liang; Shi, Zhongbin; Wei, Huiling; Xia, Fan; Xiao, Guoliang; Yin, Jiao; Yu, Deliang; Yuan, Boda; Zhu, Yiren; Zhong, Wulyu; Xu, Min; ,

doi:10.1088/1741-4326/acf32a

Cited by 3 publications

(1 citation statement)

References 72 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…ICE was early observed from fusion-born ion populations in pure deuterium and DT plasmas in JET [1][2][3][4] and TFTR [5,6], and from neutral beam injected (NBI) ions in TFTR [7]. Since 2017, ICE has been detected and analysed from NBI and fusion-born ions in the KSTAR [8][9][10], DIII-D [11][12][13][14][15][16], ASDEX-Upgrade [17][18][19][20][21], NSTX-U [22,23], JT-60U [24][25][26], TUMAN-3M [27][28][29], EAST [30][31][32][33] and HL-2A [34,35] tokamaks, and the LHD heliotron-stellarator [36][37][38][39][40][41]. The magnetoacoustic cyclotron instability (MCI) has been identified as the excitation mechanism for ICE through analytical studies [6,7,42] and simulations [8-10, 12, 38, 39, 43-46].…”

Section: Introductionmentioning

confidence: 99%

Predicting ion cyclotron emission from neutral beam heated plasmas in Wendelstein7-X stellarator

Samant,

Dendy,

Chapman

et al. 2024

Nucl. Fusion

View full text Add to dashboard Cite

Measurements of ion cyclotron emission (ICE) are planned for magnetically confined fusion (MCF) plasmas heated by neutral beam injection (NBI) in the Wendelstein 7-X stellarator (W-7X). Freshly injected NBI ions in the edge region, whose velocity-space distribution function approximates a delta-function, are potentially unstable against the magnetoacoustic cyclotron instability (MCI), which could drive a detectable ICE signal. Prediction of ICE from NBI protons in W-7X hydrogen plasmas is challenging, owing to the low ratio of the ions’ perpendicular velocity to the local Alfvén speed, v⊥(NBI)/vA ≃ 0.14. We address this from first principles, using the particle-in-cell (PIC) kinetic code EPOCH. This selfconsistently solves the Lorentz force equation and Maxwell’s equations for tens of millions of computational ions (both thermal majority and energetic NBI minority) and electrons, fully resolving gyromotion and hence capturing the cyclotron resonant phenomenology which gives rise to ICE. Our simulations predict an ICE signal which is predominantly electrostatic while incorporating a significant electromagnetic component. Its frequency power spectrum reflects novel MCI physics, reported here for the first time. The NBI ions relaxing under the MCI first drive broadband field energy at frequencies a little below the lower hybrid frequency ωLH, across the wavenumber range kωc/VA= 40 to 60, where ωc and VA denote ion cyclotron frequency and Alfvén velocity. Nonlinear coupling between these waves then excites spectrally structured ICE with narrow peaks, at much lower frequencies, typically the proton cyclotron frequency and its lower harmonics. The relative strength of these peaks depends on the specifics of the NBI ion velocity-space distribution and of the local plasma conditions, implying diagnostic potential for the predicted ICE signal from W7-X.

show abstract

Section: Introductionmentioning

confidence: 99%

Predicting ion cyclotron emission from neutral beam heated plasmas in Wendelstein7-X stellarator

Samant,

Dendy,

Chapman

et al. 2024

Nucl. Fusion

View full text Add to dashboard Cite

show abstract

Experimental identification of ion cyclotron emission on HL-2A using YOLO neural network algorithm

Zhang,

Zhao,

Liu

et al. 2024

Nucl. Fusion

View full text Add to dashboard Cite

Identification of magnetohydrodynamics (MHD) instabilities with neural networks has been extensively applied in the research of magnetically controlled fusion plasmas. Ion Cyclotron Emission (ICE) is a potential fast ion diagnostic method in burning plasmas. To assess ICE as a fast ion diagnostic for ITER, real-time identification of ICE is required in the fast ion diagnostic flow. In the present work, we employed YOLO (You Only Look Once) to identify core and edge ICE in a large labeled database of HL-2A discharges, achieving a precision of 85.4% and a recall rate of 77.3%. Subsequent improvements to the YOLO model resulted in a noteworthy 8.3% increment in the recall rate. The developed identification method demonstrates significant potential for real-time application in identifying MHD instabilities.

show abstract

Summary of the 11th Conference on Magnetic Confined Fusion Theory and Simulation

HAO 郝,

XU 许,

SUN 孙

et al. 2024

Plasma Sci. Technol.

View full text Add to dashboard Cite

This conference report summarizes recent progress in plasma theory and simulation that was presented in contributed papers and discussions at the 11th Conference on Magnetic Confined Fusion Theory and Simulation (CMCFTS 2023) Chengdu, China, 27-30 October 2023. Progress in various fields has been achieved. For example, results on the zonal flow generation by mode coupling, simulations of the key physics of divertor detachment, energetic particle effects on magnetohydrodynamic modes in addition to ion and electron scale turbulence, physics of edge coherent modes and edge localized modes, and the optimization of ion heating schemes as well as confinement scenarios using advanced integrated modeling are presented at the conference. In this conference, the scientific research groups were organized under six categories: (A) edge and divertor physics, (B) impurity, heating, and current drive, (C) energetic particle physics, (D) turbulent transport, (E) magnetohydrodynamic (MHD) instability and (F) integrated modeling and code development. A summary of highlighted progress in the above working groups is presented.

show abstract

Identification of core ion cyclotron instabilities on HL-2A tokamak

Cited by 3 publications

References 72 publications

Predicting ion cyclotron emission from neutral beam heated plasmas in Wendelstein7-X stellarator

Predicting ion cyclotron emission from neutral beam heated plasmas in Wendelstein7-X stellarator

Experimental identification of ion cyclotron emission on HL-2A using YOLO neural network algorithm

Summary of the 11th Conference on Magnetic Confined Fusion Theory and Simulation

Contact Info

Product

Resources

About