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Retraction Note: Determination of the Plasma Internal Inductance and Evaluation of its Effects on Plasma Horizontal Displacement in IR-T1 Tokamak 撤回说明:IR-T1 托卡马克中等离子体内部电感的测定及其对等离子体水平位移影响的评估
IF 1.9 4区 工程技术 Q1 NUCLEAR SCIENCE & TECHNOLOGY Pub Date : 2024-10-16 DOI: 10.1007/s10894-024-00467-y
A. Salar Elahi, M. Ghoranneviss
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引用次数: 0
Retraction Note: Differences Between the Toroidal and Poloidal Flux Loops in the Measurement of Plasma Position in Tokamaks 撤回说明:测量托卡马克等离子体位置时环形和极环形通量环的差异
IF 1.9 4区 工程技术 Q1 NUCLEAR SCIENCE & TECHNOLOGY Pub Date : 2024-10-12 DOI: 10.1007/s10894-024-00466-z
A. Salar Elahi, M. Ghoranneviss
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引用次数: 0
Effects of Injected Current Streams on MHD Equilibrium Reconstruction of Local Helicity Injection Plasmas in a Spherical Tokamak 注入电流流对球形托卡马克中局部螺旋注入等离子体的 MHD 平衡重构的影响
IF 1.9 4区 工程技术 Q1 NUCLEAR SCIENCE & TECHNOLOGY Pub Date : 2024-10-12 DOI: 10.1007/s10894-024-00460-5
J. D. Weberski, M. W. Bongard, S. J. Diem, R. J. Fonck, J. A. Goetz, M. D. Nornberg, J. A. Reusch, C. E. Schaefer, A. C. Sontag

Open field line currents are intrinsic to DC helicity injection plasma startup and pose a challenge for inferring the plasma equilibrium with standard reconstruction analysis. Local helicity injection (LHI) is a type of DC helicity injection which uses small, modular current sources to drive force-free current along helical field lines to produce tokamak plasmas. MHD modeling and magnetic measurements during LHI indicate the injected current streams remain coherent as helical structures on the outboard edge of a core toroidal plasma that is tokamak-like in a toroidally averaged sense. To extract core plasma equilibrium properties, external magnetic diagnostics corrected for contributions from the injected current streams are fitted by a standard Grad-Shafranov equilibrium code. An iterative approach for estimating and subtracting the stream contributions from the diagnostic signals is described and applied to a model equilibrium database to reduce systematic errors introduced by the streams. Convergence is usually attained with 2 to 4 iterations, with derived equilibrium parameters matching the prescribed axisymmetric core values to within estimated experimental uncertainties. Accurate recovery of core parameters occurs when the ratio of the net toroidal windup current from the streams to the core plasma current is less than 0.2, which is typically satisfied in most experiments.

开场线电流是直流螺旋注入等离子体启动的固有特性,对用标准重构分析推断等离子体平衡构成挑战。局部螺旋注入(LHI)是直流螺旋注入的一种类型,它使用小型模块化电流源,沿着螺旋场线驱动无力电流,以产生托卡马克等离子体。LHI 期间的 MHD 建模和磁场测量结果表明,注入的电流流在核心环形等离子体的外侧边缘保持相干的螺旋结构,该等离子体在环形平均意义上类似于托卡马克。为了提取核心等离子体的平衡特性,用标准的 Grad-Shafranov 平衡代码拟合了校正注入电流流贡献的外部磁诊断。描述了从诊断信号中估计和减去磁流贡献的迭代方法,并将其应用于模型平衡数据库,以减少磁流带来的系统误差。通常经过 2 到 4 次迭代就能达到收敛,推导出的平衡参数与规定的轴对称核心值相匹配,在估计的实验不确定性范围内。当来自流的净环形卷积电流与堆芯等离子体电流之比小于 0.2 时,堆芯参数就能得到精确恢复,而这在大多数实验中通常都能满足要求。
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引用次数: 0
Retraction Note: Demonstration of Shafranov Shift by the Simplest Grad–Shafranov Equation Solution in IR-T1 Tokamak 撤稿说明:用 IR-T1 托卡马克中最简单的格拉德-沙弗诺夫方程解法证明沙弗诺夫偏移
IF 1.9 4区 工程技术 Q1 NUCLEAR SCIENCE & TECHNOLOGY Pub Date : 2024-10-12 DOI: 10.1007/s10894-024-00468-x
A. Rahimirad, M. Emami, M. Ghoranneviss, A. Salar Elahi
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引用次数: 0
Retraction Note: Multipole Moments Based Study on Determination of Toroidal Plasma Equilibrium Position and Shift 撤回说明:基于多极矩的环形等离子体平衡位置和位移测定研究
IF 1.9 4区 工程技术 Q1 NUCLEAR SCIENCE & TECHNOLOGY Pub Date : 2024-10-12 DOI: 10.1007/s10894-024-00469-w
Ahmad Salar Elahi
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引用次数: 0
Retraction Note: Nano-Scale Precipitates of Reduced Activation Steels for the Application of Nuclear Fusion Reactors 撤稿说明:用于核聚变反应堆的还原活化钢的纳米级沉淀物
IF 1.9 4区 工程技术 Q1 NUCLEAR SCIENCE & TECHNOLOGY Pub Date : 2024-10-09 DOI: 10.1007/s10894-024-00462-3
S. Moniri, M. Ghoranneviss, M. R. Hantehzadeh, A. Salar Elahi
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引用次数: 0
Neutron-Alpha Reaction Cross Section Determination by Machine Learning Approaches 通过机器学习方法确定中子-阿尔法反应截面
IF 1.9 4区 工程技术 Q1 NUCLEAR SCIENCE & TECHNOLOGY Pub Date : 2024-10-09 DOI: 10.1007/s10894-024-00461-4
Naima Amrani, Cafer Mert Yeşilkanat, Serkan Akkoyun

This study focuses on leveraging powerful machine learning approaches to determine neutron- alpha reaction cross-sections within the 14–15 MeV energy range. The investigation utilizes an experimental dataset comprising measurements of 133 nuclei concerning (n, α) reaction cross- sections. These data are divided into training and validation subsets, following established protocols, with 80% allocated for model training and 20% for testing. Key nucleus characteristics, including neutron number (N), mass number (A), and symmetry representation [(N-Z)²/A], were used as input variables for the machine learning models. SVR and XGBoost methods showed superior performance among the other machine learning methods used in the present study. In addition, a machine learning based online calculation tool was developed to estimate the reaction cross section.

这项研究的重点是利用强大的机器学习方法来确定 14-15 MeV 能量范围内的中子-α 反应截面。研究利用了一个实验数据集,其中包括对 133 个原子核的(n,α)反应截面的测量结果。这些数据按照既定规程分为训练子集和验证子集,其中 80% 用于模型训练,20% 用于测试。关键核特征,包括中子数(N)、质量数(A)和对称性表示[(N-Z)²/A],被用作机器学习模型的输入变量。在本研究使用的其他机器学习方法中,SVR 和 XGBoost 方法表现出更优越的性能。此外,还开发了一种基于机器学习的在线计算工具来估算反应截面。
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引用次数: 0
Retraction Note: Effects of Hot Limiter Biasing on Tokamak Runaway Discharges 撤回说明:热限制器偏置对托卡马克失控放电的影响
IF 1.9 4区 工程技术 Q1 NUCLEAR SCIENCE & TECHNOLOGY Pub Date : 2024-10-09 DOI: 10.1007/s10894-024-00464-1
A. Salar Elahi, M. Ghoranneviss, M. R. Ghanbari
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引用次数: 0
Retraction Note: Feedback System Design for Plasma Horizontal Position Control in IR-T1 Tokamak 撤回说明:IR-T1 托卡马克中等离子体水平位置控制的反馈系统设计
IF 1.9 4区 工程技术 Q1 NUCLEAR SCIENCE & TECHNOLOGY Pub Date : 2024-10-09 DOI: 10.1007/s10894-024-00463-2
A. Naghidokht, R. Khodabakhsh, M. Ghoranneviss, A. Salar Elahi
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引用次数: 0
Artificial Neural Network-Based Tomography Reconstruction of Plasma Radiation Distribution at GOLEM Tokamak 基于人工神经网络的 GOLEM 托卡马克等离子体辐射分布断层扫描重建技术
IF 1.9 4区 工程技术 Q1 NUCLEAR SCIENCE & TECHNOLOGY Pub Date : 2024-09-04 DOI: 10.1007/s10894-024-00458-z
S. Abbasi, J. Mlynar, J. Chlum, O. Ficker, V. Svoboda, J. Brotankova

The paper presents an artificial neural network-based model for tomography reconstruction of visible plasma radiation distribution at the GOLEM tokamak. The model was trained using a dataset from emissivity phantoms and associated synthetic measurements from a poloidal cross-section of the GOLEM tokamak. The model validation was performed on the prediction of various unseen phantom samples with shapes similar to those in the training dataset. The backfit of line-integrated measurements indicates the considerable potential of the proposed model for reconstructing the position, size, shape and intensity of the radiation function of one cross section. Additionally, the neural network-based model offers a significantly shorter prediction time compared to traditional tomography methods, providing a substantial advantage.

本文介绍了一个基于人工神经网络的模型,用于对 GOLEM 托卡马克可见等离子体辐射分布进行断层扫描重建。该模型是利用来自发射率模型的数据集和来自 GOLEM 托卡马克极坐标截面的相关合成测量数据进行训练的。模型验证是通过预测与训练数据集形状相似的各种未见模型样本进行的。线积分测量的反拟合结果表明,所提出的模型在重建一个截面的辐射函数的位置、大小、形状和强度方面具有相当大的潜力。此外,与传统的层析成像方法相比,基于神经网络的模型可大大缩短预测时间,具有很大的优势。
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引用次数: 0
期刊
Journal of Fusion Energy
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