Simulation of hard X-ray time evolution in the stable region of plasma tokamak by using the NARX-GA hybrid neural network
سال انتشار: 1401
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 199
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شناسه ملی سند علمی:
JR_JITF-5-2_006
تاریخ نمایه سازی: 21 اردیبهشت 1402
چکیده مقاله:
The time evolution of hard X-ray has been simulated using the NARX-GA hybrid neural network in the stable region of the plasma tokamak. Loop voltage and hard X-ray measured by the tokamak diagnostics tools were selected as network inputs. The NARX network has been trained using the Genetic Algorithm (GA) and the time evolution of the hard X-ray up to ۵۰۰ μs (MSE = ۴.۱۳ × ۱۰-۵) is accurately simulated. Increasing the confinement time is the particular purpose of applying tokamak to produce energy through fusion. The real-time application of this methodology brings us closer to this goal. Hard X-ray prediction can prevent plasma energy reduction. It can also reduce the severe damage caused by runaway electrons (RE) colliding with the tokamak wall. Early prediction of hard X-ray time evolution is critical in attempting to mitigate the REs potentially dangerous effects.
کلیدواژه ها:
نویسندگان
امیر علوی
Department of Physics, Shoushtar Branch, Islamic Azad University, Shoushtar, Iran.
شروین سعادت
Canadian Light Source Inc., University of Saskatchewan, Saskatoon, Saskatchewan, S۷N۲V۳, Canada.
محمد رضا قنبری
Department of Basic Sciences, Garmsar Branch, Islamic Azad University, Garmsar, Iran
سید عنایت اله علوی
Department of Computer Engineering, Faculty of Engineering, Shahid Chamran University of Ahvaz, Ahvaz, Iran.
علی کدخدایی
Earth Sciences Department, Faculty of Natural Sciences, University of Tabriz, Tabriz, Iran.