《Radiation Detection Technology and Methods》

作品数：493被引量：218H指数：6
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《Radiation Detection Technology and Methods》
主办单位：中国科学院高能物理研究所
最新期次：2024年4期更多>>
发文主题：HEPSDETECTORDESIGNBEAMPROTOTYPE更多>>
发文领域：理学核科学技术电子电信自动化与计算机技术更多>>
发文基金：国家自然科学基金国家重点基础研究发展计划瑞士科学基金更多>>
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An IACT direction reconstruction method suitable for optimizing Cherenkov telescope layouts
《Radiation Detection Technology and Methods》2024年第4期1672-1681,共10页Hu Liu Yaling Chen Feng Zhang 
supported by the National Natural Science Foundation of China(Grant Number 12205244).
Problem The angular resolution of a gamma-ray detector is crucial for the detailed study of gamma-ray sources.The imaging atmospheric Cherenkov technique is used in ground-based gamma-ray astronomy to detect and study...
关键词：Cosmic ray Nuclei identification Longitudinal development Cherenkov image 
The development of high bandwidth arbitrary waveform generator based on ADA14S800
《Radiation Detection Technology and Methods》2024年第4期1682-1692,共11页Jia-ming Li Hong-fei Zhang Jian Wang Jie Gao Kun Ge 
supported in part by the Fundamental Research Funds for the Central Universities under Grant WK3440000006,Grant WK2360000003,Grant WK2030040064,Grant YD2030000601,Grant YD2030000602 and Grant YD2030000604;in part by the National Natural Science Funds of China under Grant 11603023 and Grant 11773026;in part by the Strategic Priority Research Program of Chinese Academy of Sciences(CAS)under Grant XDC07020200 and XDA15020605;in part by Research Funds of the State Key Laboratory of Particle Detection and Electronics under Grant SKLPDE-ZZ-202325 and SKLPDE-KF-202314;in part by the Frontier Scientific Research Program of Deep Space Exploration Laboratory under Grant 2022-QYKYJH-HXYF-012;in part by the Cyrus Chun Ying Tang Foundation.
Purpose To enhance signal generation capabilities,improve the performance of experimental and testing equipment,and promote innovation in related technological fields,this study aims to develop a high-bandwidth Arbitr...
关键词：Arbitrary waveform generator Field programmable gate array Digital-to-analog converter 
Fast lossless images compression for synchrotron radiation facility using deep learning and hybrid architecture
《Radiation Detection Technology and Methods》2024年第4期1693-1703,共11页Zhang Min-xing Fu Shi-yuan Gao Yu Cheng Yao-dong Abdulhafiz Ahmed Mustofa Chen Gang 
Purpose The rapid growth in image data generated by high-energy photon sources poses significant challenges for storage and analysis,with conventional compression methods offering compression ratios often below 1.5.Me...
关键词：Lossless compression Deep learning Heterogeneous architecture Synchrotron radiation image 
Event index-based analysis in the JUNO experiment
《Radiation Detection Technology and Methods》2024年第4期1704-1711,共8页Yixiang Yang Weidong Li Tao Lin Jiaheng Zou Simon Charles Blyth Xingtao Huang Teng Li 
supported by the Strategic Priority Research Program of the Chinese Academy of Sciences under Grant No.XDA10010900;National Natural Science Foundation of China(NSFC)under Grant No.12375195,No.12025502,No.12341504;Youth Innovation Promotion Association under Grant No.2022011.
Purpose The Jiangmen Underground Neutrino Observatory(JUNO)is a large-scale neutrino experiment designed mainly for determining the neutrino mass hierarchy and accurately measuring the parameters of neutrino oscillati...
关键词：JUNO Indexed data Data analysis MULTITHREADING 
Deep learning-assisted characterization of nanoparticle growth processes:unveiling SAXS structure evolution
《Radiation Detection Technology and Methods》2024年第4期1712-1728,共17页Yikun Li Lunyang Liu Xiaoning Zhao Shuming Zhou Xuehui Wu Yuecheng Lai Zhongjun Chen Jizhong Chen Xueqing Xing 
supported by the Innovation Program of the Institute of High Energy Physics,CAS(Grant Number 2023000034);the National Natural Science Foundation of China(Grant Numbers 22273013,12275300);National Key R&D Program of China(Grant Numbers 2022YFA1603802,2017YFA0403000).
Purpose The purpose of this study is to explore deep learning methods for processing high-throughput small-angle X-ray scattering(SAXS)experimental data.Methods The deep learning algorithm was trained and validated us...
关键词：SAXS Nanoparticles growth process In situ Machine learning CNN Shape classification Size predication 
Submission Guidelines
《Radiation Detection Technology and Methods》2024年第4期I0004-I0005,共2页
1.Aims and scope Radiation Detection Technology and Methods(RDTM)focuses on all aspects of radiation detection technology and methods,including electronics and system design,computer and control techniques,detection t...
关键词：JOURNAL ATTRACTIVE COMPUTER 
Beam background with beam–beam effect at BEPCII collider
《Radiation Detection Technology and Methods》2024年第4期1505-1510,共6页Bin Wang Zhiyuan Li Yuan Zhang Huiping Geng 
supported by the Innovation Study of IHEP.
Purpose The beam-beam interaction can change the beam distribution,especially at the interaction point,which is a critical factor influencing the cross section of Touschek scattering.Studying the beam background with ...
关键词：BACKGROUND BEPCII Beam-beam 
Stabilization of HEPS linac microwave system
《Radiation Detection Technology and Methods》2024年第4期1511-1519,共9页Yongyi Peng Nan Gan Xinpeng Ma Cai Meng Jingru Zhang Hao Zeng Jingyi Li 
supported by High Energy Photon Source(HEPS),a major national science and technology infrastructure in China.
Purpose The linac of the High Energy Photon Source has been commissioned.The low-level RF(LLRF)control system for the linac has been developed using MicroTCA.4-based technologies to maintain high stability of beam ene...
关键词：LINAC LLRF Reference signal Energy stability 
Application of a new cavity-loaded factor calibration algorithm on the Test Stand 2 facility at the European Spallation Source
《Radiation Detection Technology and Methods》2024年第4期1520-1530,共11页Jinying Ma Lijuan Yang Feng Qiu Muyuan Wang Rihua Zeng Chengye Xu Jingwei Yu Cecilia Maiano Philippe Goudket Bruno Lagoguez Paolo Pierini Yuan He 
supported by the project of Large Research Infrastructures“National Natural Science Foundation of China”(Grant No.U22A20261);the“Studies of intelligent LLRF control algorithms for superconducting RF cavities”(Grant No.E129851YR0);the“National Natural Science Foundation of China”(Grant No.12205344).
Purpose Precise measurements of the cavity-loaded quality factor(Q_(L))are essential for monitoring the performance of superconducting radio frequency cavities.The conventional“field-decay method”cannot be used to m...
关键词：Loaded quality factor Field decay method MISMATCH Calibration 
Study of longitudinal energy-phase oscillation excited by RF phase deviation in low-βproton and ion Linac
《Radiation Detection Technology and Methods》2024年第4期1531-1541,共11页Xinghao Ding Guirong Huang Zheng Gao Zongheng Xue Jinying Ma Chengye Xu Qi Chen Zhenglong Zhu Kean Jin Guodong Jiang Feng Qiu 
supported by the Large Research Infrastructures“China initiative Accelerator Driven System”(No.2017-000052-75-01-000590);“Youth Innovation Promotion Association Project,CAS”(No.E329851Y);“National Natural Science Foundation of China”(No.12205344).
n accelerator operations,some phase drifts in the reference signals of low-level radiofrequency(LLRF)control systems and analog components can hardly be detected and corrected by the LLRF itself,leading to phase devia...
关键词：LINAC RF phase Longitudinal energy-phase oscillation Time of flight BPM 
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