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Design of the electron cyclotron emission diagnostic on EXL-50 spherical torus
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作者 王嵎民 谢奇峰 +10 位作者 陶仁义 张辉 薄晓坤 孙恬恬 伦秀春 陈琳 谭伟强 郭栋 邓必河 刘敏胜 the EXL-50 Team 《Plasma Science and Technology》 SCIE EI CAS CSCD 2024年第3期53-60,共8页
The electron cyclotron emission(ECE)diagnostic system has been developed on the ENN spherical torus(EXL-50).The ECE system is designed to detect radiation emitted by energetic electrons,rather than conventional 1D ele... The electron cyclotron emission(ECE)diagnostic system has been developed on the ENN spherical torus(EXL-50).The ECE system is designed to detect radiation emitted by energetic electrons,rather than conventional 1D electron temperature profile measurement,in the frequency range of 4-40 GHz.The system is composed of five subsystems,each covering a different frequency band,including the C-band(4-8 GHz),X-band(8-12 GHz),Ku-band(12-18 GHz),K-band(18-26.5 GHz)and Kα-band(26.4-40 GHz).The system uses heterodyne detection to analyze the received signals.The K-band and Kα-band subsystems are located horizontally in the equatorial plane of the EXL-50,while the C-band,X-band and Ku-band subsystems are located under the vacuum vessel of the EXL-50.To direct the microwaves from the plasma to the antennas for the horizontal detection subsystems,a quasi-optical system has been developed.For the vertical detection subsystems,the antennas are directly attached to the port located beneath the torus at R=700 mm,which is also the magnetic axis of the torus.The system integration,bench testing and initial experimental results will be thoroughly discussed,providing a comprehensive understanding of the ECE system s performance and capabilities. 展开更多
关键词 electron cyclotron emission spherical torus(ST) exl-50 energetic electrons
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Improved training framework in a neural network model for disruption prediction and its application on EXL-50
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作者 蔡剑青 梁云峰 +15 位作者 Alexander KNIEPS 齐东凯 王二辉 向皓明 廖亮 黄杰 阳杰 黄佳 刘建文 Philipp DREWS 徐帅 顾翔 高轶琛 罗宇 李直 the EXL-50 Team 《Plasma Science and Technology》 SCIE EI CAS CSCD 2024年第5期29-39,共11页
A neural network model with a classical annotation method has been used on the EXL-50tokamak to predict impending disruption.However,the results revealed issues of overfitting and overconfidence in predictions caused ... A neural network model with a classical annotation method has been used on the EXL-50tokamak to predict impending disruption.However,the results revealed issues of overfitting and overconfidence in predictions caused by inaccurate labeling.To mitigate these issues,an improved training framework has been proposed.In this approach,soft labels from previous training serve as teachers to supervise the further learning process;this has lead to a significant improvement in predictive model performance.Notably,this enhancement is primarily attributed to the coupling effect of the soft labels and correction mechanism.This improved training framework introduces an instance-specific label smoothing method,which reflects a more nuanced model assessment on the likelihood of a disruption.It presents a possible solution to effectively address the challenges associated with accurate labeling across different machines. 展开更多
关键词 neural network DISRUPTION soft label exl-50 tokamak
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EXL-50 球形托卡马克装配测量基准的建立
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作者 杨圆明 陈博 +6 位作者 白仁华 宋韵洋 王宇 贾朋美 臧红 薄晓坤 袁保山 《核聚变与等离子体物理》 CAS CSCD 北大核心 2024年第1期13-18,共6页
在EXL-50球形托卡马克安装过程中,通过在装置大厅布置参考点建立测量基准网,以真空室中心柱轴线和中平面建立全局坐标系,并以此构建了装置安装和测量基准网。通过该基准网的定位,对EXL-50装置真空室、环向场线圈、极向场线圈以及内部件... 在EXL-50球形托卡马克安装过程中,通过在装置大厅布置参考点建立测量基准网,以真空室中心柱轴线和中平面建立全局坐标系,并以此构建了装置安装和测量基准网。通过该基准网的定位,对EXL-50装置真空室、环向场线圈、极向场线圈以及内部件偏滤器、限制器进行了安装和测量,主机安装结果符合设计要求。 展开更多
关键词 exl-50装置 测量基准 参考网
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