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12th International Workshop on the Physiecs of Excited Nucleons, NSTAR 2019

作者： Xie, Ju-Jun Geng, Li-Sheng Guo, Feng-Kun Institute of Modern Physics Chinese Academy of Sciences Lanzhou730000 China School of Nuclear Science and Technology University of Chinese Academy of Sciences Beijing100049 China School of Physics and Microelectronics Zhengzhou University Henan Zhengzhou450001 China School of Physics Beijing Advanced Innovation Center for Big Data-based Precision Medicine Beihang University Beijing100191 China CAS Key Laboratory of Theoretical Physics Institute of Theoretical Physics Chinese Academy of Sciences Zhong Guan Cun East Street 55 Beijing100190 China

The nonleptonic weak decays of Λ+c → K¯0ηp and Λ+c → π0φp are investigated from the viewpoint of probing the N∗(1535) resonance and the possible φp state. For the Λ+c → K¯0ηp decay, we study the invariant mass distribution of ηp with both the chiral unitary approach and an effective Lagrangian model. Within the chiral unitary approach, the N∗(1535) resonance is dynamically generated from the final state interaction of mesons and baryons in coupled channels. While for the effective Lagrangian model, we take a Breit-Wigner formula for the N∗(1535) resonance. We found that the behavior of the N∗(1535) resonance in the Λ+c → K¯0N∗(1535) → K¯0ηp decay within the two approaches is different. For the Λ+c → π0φp decay, we consider a triangle singularity mechanism, where the Λ+c decays into the K∗Σ∗(1385), the Σ∗(1385) decays into the π0Σ/Λ, and then the K∗Σ/Λ merge to produce the φp in the final state. This mechanism produces a peak structure around 2020 MeV. In addition, the possibility that there is a hidden-strange pentaquark-like state is also considered by taking into account the final state interactions of K∗Λ, K∗Σ, and φp. We conclude that it is difficult to search for the hidden-strange state in this decay. However, we do expect nontrivial behavior in the φp invariant mass distribution. The proposed Λ+c decay mechanism here can provide valuable information on the properties of these nuclear resonances and can in principle be tested by experiments such as BESIII, LHCb and Belle-II. © The Authors, published by EDP sciences. This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0.

关键词： Lagrange multipliers

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VG-Net: Sensor Time Series Anomaly Detection with Joint Variational Autoencoder and Graph Neural Network

VG-Net: Sensor Time Series Anomaly Detection with Joint Vari...

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Smart World Congress (SWC), IEEE

作者： Shuai Wang Shenghao Liu Xiaoxuan Fan Haijun Wang Yinxin Zhou Hanjun Gao Hongwei Lu Xianjun Deng Hubei Key Laboratory of Distributed System Security Hubei Engineering Research Center on Big Data Security School of Cyber Science and Engineering Huazhong University of Science and Technology Wuhan China Hunan Technical College of Railway High-speed China Nanjing University of Posts and Telecommunications China China National Nuclear Power Co Ltd China

ISBN: (数字)9798331520861

ISBN: (纸本)9798331520878

Intelligent Cyber-Physical Systems typically utilize sensors to gather a significant amount of raw data which often possesses temporal and high-dimensional characteristics. Ensuring the data reliability is crucial for the normal operation of the system. While most existing methods are capable of identifying anomalies in high-dimensional time series data from sensors, they often lack adequate accuracy and fail to adequately consider the correlation between sensor nodes. To address these limitations, we propose an unsupervised framework which is a combination of variational autoencoder and graph neural network(VG-Net). By jointly optimizing the reconstruction module and the prediction module, VG-Net effectively models the correlation between sensor nodes while simultaneously detecting anomalies. The reconstruction module is responsible for modeling the latent representation space and reconstructing the time series data through variational autoencoder. The prediction module leverages bidirectional long short term memory networks and neural tensor network to learn the relationships between sensor nodes, and uses graph neural network to predict the future behavior of the data. Experiments on eight real and synthetic datasets demonstrate that, compared with existing methods, VG-Net can accurately model the relationship between sensor nodes and enhance the anomaly detection performance of high-dimensional time series data.

关键词： Time series analysis Autoencoders Sensor phenomena and characterization Predictive models data models Graph neural networks Reliability Anomaly detection Intelligent sensors Synthetic data

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Measurement of the Pr141(n,γ) cross section up to stellar s-process temperatures at the China Spallation Neutron Source Back-n facility

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Physical Review C 2023年第3期108卷 035802-035802页

作者： Xiankai Li Zhendong An Wei Jiang Jingyi Zhang Ruoran Bai Shaokun Liu Xinxiang Li Zhichao Zhu Gaole Yang Weiwei Qiu Zhengfa Liao Ziyue Zhuang Xiaoping Zhang Shengli Chen Chenchen Guo Erxi Xiao Xiao Fang Hongwei Wang Xinrong Hu Bing Jiang Wenqing Shen Jincheng Wang Jie Ren Xichao Ruan Wen Luo Haoyang Lan Zongwei Cao Xu Ma Yingdu Liu Pusen Wang Yi Yang Ping Su Xiangai Deng Wanbing He Yugang Ma Chunwang Ma Yuting Wang Zhitao Dai Ertao Li Pengqin He RenGuang Tang Tao Zhou Jing Wang Han Yi Yue Zhang Yonghao Chen Ruirui Fan Keqing Gao Qiang Li Kang Sun Zhixin Tan Minhao Gu Hantao Jing Jingyu Tang School of Nuclear Science and Technology University of South China Hengyang 421001 China School of Physics and Astronomy Sun Yat-sen University Zhuhai 519082 China Shanghai Institute of Applied Physics Chinese Academy of Sciences Shanghai 201800 China State Key Laboratory of Lunar and Planetary Sciences Macau University of Science and Technology Macau 999078 China CNSA Macau Center for Space Exploration and Science Macau 999078 China Institute of High Energy Physics Chinese Academy of Sciences Beijing 100049 China Spallation Neutron Source Science Center Dongguan 523803 China University of Chinese Academy of Sciences Beijing 100049 China Sino-French Institute of Nuclear Engineering and Technology Sun Yat-sen University Zhuhai 519082 China Shanghai Advanced Research Institute Chinese Academy of Sciences Shanghai 201210 China Key Laboratory of Nuclear Data China Institute of Atomic Energy Beijing 102413 China State Key Laboratory of Nuclear Physics and Technology and CAPT Peking University Beijing 100871 China Beijing Laser Acceleration Innovation Center Huairou Beijing 101400 China Shool of Materials Science and Engineering Xiangtan University Xiangtan 411100 China Key Laboratory of Nuclear Physics and Ion-beam Application (MOE) Institute of Modern Physics Department of Nuclear Science and Technology Fudan University Shanghai 200433 China Institute of Particle and Nuclear Physics Henan Normal University Xinxiang 453007 China School of Physics Henan Normal University Xinxiang 453007 China Shenzhen Center Cancer hospital Chinese Academy of Medical Sciences Shenzhen 518100 China Institute for Advanced Study in Nuclear Energy and Safety College of Physics and Optoelectronic Engineering Shenzhen University Shenzhen 518060 China

In nuclear astrophysics, Pr141 is mainly produced by an s process, which has a neutron magic number (N=82) leading to its low capture cross section and strongly affecting the s process. Its neutron capture cross section is an important input parameter for nuclear astrophysical network calculations. According to the EXFOR database, the measurement precision for the Pr141(n,γ) cross section should be improved in the resolved and unresolved resonance region. The (n,γ) cross section of Pr141 was measured between 1 eV and 500 keV at the Back-n facility of the Chinese Spallation Neutron Source using the time-of-flight (TOF) method. The prompt γ rays were detected by four C6D6 liquid scintillator detectors, and the data was analyzed using the pulse-height weighting technique (PHWT). The majority of results are in agreement with the evaluated data libraries ENDF/B-VIII.0, JENDL-5.0, and TENDL-2021, with some significant exceptions for small resonances. The multilevel R-matrix Bayesian code sammy was used to extract the resonance parameters of Pr141 in the resolved resonance region. And the Maxwell average cross section (MACS) from kT=5 to 100 keV is calculated in the temperature range of the s-process nucleosynthesis model. In particular, at kT=30 keV the MACS value of Pr141 is 145.0±13.7 mb, which shows an obvious discrepancy with the Karlsruhe Astrophysical database of Nucleosynthesis in Stars (KADoNiS) recommended value 111.4±1.4 mb.

关键词： Neutron physics nuclear astrophysics nuclear reactions Nucleosynthesis in explosive environments Radiative capture Resonance reactions 90 ≤ A ≤ 149 nuclear data analysis & compilation Radiation detectors

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Tensor and Minimum Connected Dominating Set based Confident Information Coverage Reliability Evaluation for IoT

IEEE Transactions on Sustainable Computing

引用

IEEE Transactions on Sustainable Computing 2024年

作者： Xiao, Ziheng Zhu, Chenlu Feng, Wei Liu, Shenghao Deng, Xianjun Lu, Hongwei Yang, Laurence T. Park, Jong Hyuk Hubei Key Laboratory of Distributed System Security Hubei Engineering Research Center on Big Data Security School of Cyber Science and Engineering Huazhong University of Science and Technology Hubei Wuhan430074 China Artificial Intelligence and Intelligent Transportation Joint Technical Center of HUST and Hubei Chutian Intelligent Transportation Company Ltd United States Network and Industrial Control Information Security Technology Department China Nuclear Power Operation Technology Company Ltd. 1011 Xiongchu Avenue Hubei Wuhan430070 China The Department of Computer Science and Engineering Seoul National University of Science and Technology Seoul01811 Korea Republic of

Internet of Things (IoT) reliability evaluation contributes to the sustainable computing and enhanced stability of the network. Previous algorithms usually evaluate the reliability of IoT by enumenating the states of nodes and networks, which are difficult to handle IoT with hundreds of nodes because the computational cost. In this paper, a novel algorithm, TMCRA, is proposed to evaluate the reliability of IoT in complex network environment, which consider both coverage and connectivity. For coverage, TMCRA employs the Confident Information Coverage (CIC) model to divide the target area into independent grids and calculates the coverage rate. In terms of connectivity, TMCRA forming the Virtual Backbone Network (VBN) based on two proposed methods: TMA and MGIN, and evaluate connectivity by analyzing the VBN rather than the whole network. The TMA and MGIN are two algorithms for constructing Minimum Connected Dominant Sets (MCDS), which are suitable for different scale networks. Finally, based on the data of coverage and connectivity, TMCRA utilizes tensors for the unified modeling and representation of network structure, and calculates IoT reliability based on the tensors. Simulations are carried out for various sizes of IoT to show the advantages and effectiveness of the proposed approach in reliability evaluation. © 2016 IEEE.

关键词： data reliability

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Measurement of neutron beam spot distribution using a Micromegas detector for the Back-n white neutron facility at CSNS

arXiv

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arXiv 2019年

作者： Qi, Binbin Li, Yang Zhu, Danyang Zhang, Zhiyong Fan, Ruirui Pan, Jiang Feng, Jianxin Liu, Chengming Feng, Changqing Liu, Jianbei Shao, Ming Zhou, Yi Wang, Yanfeng Yi, Han An, Qi Bai, Huaiyong Bao, Jie Cao, Ping Chen, Qiping Chen, Yonghao Cheng, Pinjing Cui, Zengqi Gu, Minhao Guo, Fengqin Han, Changcai Han, Zijie He, Guozhu He, Yongcheng He, Yuefeng Huang, Hanxiong Huang, Weiling Huang, Xiru Ji, Xiaolu Ji, Xuyang Jiang, Haoyu Jiang, Wei Jing, Hantao Kang, Ling Kang, Mingtao Li, Bo Li, Lun Li, Qiang Li, Xiao Li, Yang Liu, Rong Liu, Shubin Liu, Xingyan Luan, Guangyuan Ma, Yinglin Ning, Changjun Ren, Jie Ruan, Xichao Song, Zhaohui Sun, Hong Sun, Xiaoyang Sun, Zhijia Tan, Zhixin Tang, Hongqing Tang, Jingyu Wang, Pengcheng Wang, Qi Wang, Taofeng Wang, Zhaohui Wang, Zheng Wen, Jie Wen, Zhongwei Wu, Qingbiao Wu, Xiaoguang Wu, Xuan Xie, Likun Yang, Yiwei Yu, Li Yu, Tao Yu, Yongji Zhang, Guohui Zhang, Jing Zhang, Linhao Zhang, Liying Zhang, Qingming Zhang, Qiwei Zhang, Xianpeng Zhang, Yuliang Zhao, Yingtan Zhou, Liang Zhou, Zuying Zhu, Kejun Zhu, Peng State Key Laboratory of Particle Detection and Electronics University of Science and Technology of China Hefei230026 China Department of Modern Physics University of Science and Technology of China Hefei230026 China Institute of High Energy Physics Chinese Academy of Sciences Beijing100049 China Spallation Neutron Source Science Center Dongguan523803 China State Key Laboratory of Particle Detection and Electronics Institute of High Energy Physics Chinese Academy of Sciences Beijing100049 China State Key Laboratory of Nuclear Physics and Technology School of Physics Peking University Beijing100871 China Key Laboratory of Nuclear Data China Institute of Atomic Energy Beijing102413 China Institute of Nuclear Physics and Chemistry China Academy of Engineering Physics Mianyang621900 China University of South China Hengyang421001 China Northwest Institute of Nuclear Technology Xian710024 China Department of Engineering and Applied Physics University of Science and Technology of China Hefei230026 China School of Physics Beihang University 100083 China Xian Jiaotong University Xian710049 China

The Back-n white neutron beam line, which uses back-streaming white neutrons from the spallation target of China Spallation Neutron Source, is useful for nuclear data measurements. A Micromegas-based neutron detector with two variants is developed to measure the beam spot distribution for this beam line. In this article, the design, fabrication, and characterization of the detector are described. The results of the detector performance tests are presented, which include the relative electron transparency, the gain and the gain uniformity, and the neutron detection capability. The first measurement result of the Back-n neutron beam spot distribution is also presented. Copyright © 2019, The Authors. All rights reserved.

关键词： Neutron sources

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Progress in measurements of fission cross sections and total cross sections at CSNS Back-n white neutron source

引用

nuclear Analysis 2023年第2期2卷

作者： Liu, Rong Yang, Yiwei Ren, Zhizhou Wen, Zhongwei Wen, Jie Liu, Xingyan Chen, Yonghao Yi, Han Han, Zijie Chen, Qiping Bao, Jie An, Qi Bai, Huaiyong Cao, Ping Cheng, Pinjing Cui, Zengqi Fan, Ruirui Feng, Changqing Gu, Minhao Guo, Fengqin Han, Changcai He, Guozhu He, Yongcheng He, Yuefeng Huang, Hanxiong Huang, Weiling Huang, Xiru Ji, Xiaolu Ji, Xuyang Jiang, Haoyu Jiang, Wei Jing, Hantao Kang, Ling Kang, Mingtao Li, Bo Li, Lun Li, Qiang Li, Xiao Li, Yang Liu, Shubin Luan, Guangyuan Ma, Yinglin Ning, Changjun Qi, Binbin Ren, Jie Ruan, Xichao Song, Zhaohui Sun, Hong Sun, Xiaoyang Sun, Zhijia Tan, Zhixin Tang, Hongqing Tang, Jingyu Wang, Pengcheng Wang, Qi Wang, Taofeng Wang, Yanfeng Wang, Zhaohui Wang, Zheng Wu, Qingbiao Wu, Xiaoguang Wu, Xuan Xie, Likun Yu, Li Yu, Tao Yu, Yongji Zhang, Guohui Zhang, Jing Zhang, Linhao Zhang, Liying Zhang, Qingmin Zhang, Qiwei Zhang, Xianpeng Zhang, Yuliang Zhang, Zhiyong Zhao, Yingtan Zhou, Liang Zhou, Zuying Zhu, Danyang Zhu, Kejun Zhu, Peng Institute of Nuclear Physics and Chemistry China Academy of Engineering Physics Mianyang 621900 China Department of Modern Physics University of Science and Technology of China Hefei 230026 China Institute of High Energy Physics Chinese Academy of Sciences (CAS) Beijing 100049 China Spallation Neutron Source Science Center Dongguan 523803 China Key Laboratory of Nuclear Data China Institute of Atomic Energy Beijing 102413 China State Key Laboratory of Particle Detection and Electronics University of Science and Technology of China Heifei 230026 China State Key Laboratory of Nuclear Physics and Technology School of Physics Peking University Beijing 100871 China School of Nuclear Science & Technology University of Science and Technology of China Hefei 230026 China University of South China Hengyang 421001 China Sate Key Laboratory of Particle Detection and Electronics Institute of High Energy Physics Chinese Academy of Sciences Beijing 100049 China Northwest Institute of Nuclear Technology Xi'an 710024 China Department of Engineering and Applied Physics University of Science and Technology of China Hefei 230026 China School of Physics Beihang University Beijing 100083 China Xi'an Jiaotong University Xi'an 710049 China

The neutron-induced cross sections are of great significance for the design of nuclear devices and advanced reactors for the nuclear energy production. At CSNS Back-n white neutron source, new measurements of the fission cross sections and total cross sections are performed with two sets of Day-one spectrometers based on the multi-cell fast fission ionization chamber (FIC). The neutron-induced ^236,238U fission cross sections relative to ²³⁵U from the fission threshold energy to 200 MeV were measured by using the TOF method and the Fast Ionization Chamber Spectrometer for Fission Cross Section Measurement (FIXM) in the single/double bunch mode of Back-n. The experimental uncertainties are analyzed in detail, and the results from the two modes are consistent. The measured ^236,238U/²³⁵U fission cross section ratios are compared with previous experiments and evaluations. The ^236,238U(n,f) cross sections are obtained based on the standard ²³⁵U fission cross section. The neutron total cross sections of carbon and aluminum in the energy region from 1 eV to 20 MeV have been measured by using the TOF method and transmission method based on the Neutron Total Cross Section Spectrometer (NTOX) in the double bunch mode. The total cross section results after unfolding are in good agreement with the previous measurements as well as the broadening of the ENDF/B-Ⅷ.0 evaluation with Gaussian function within the experimental uncertainty. The present results provide the experimental data for further measurements, relevant evaluations and the design of nuclear system. © 2023 The Authors

关键词： CSNS Back-n data analysis Fission cross section Multi-cell fast fission chamber Total cross section

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Uncertainly quantification for new approaches to spent fuel assay

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nuclear science and Engineering 2012年第2期172卷 164-179页

作者： Burr, Tom Conlin, Jeremy Hu, Jianwei Galloway, Jack Henzl, Vladimir Menlove, Howard Swinhoe, Martyn Tobin, Stephen Trellue, Holly Ulrich, Timothy Los Alamos National Laboratory Statistical Sciences Los Alamos NM United States Los Alamos National Laboratory Materials and Physical Data Los Alamos NM United States Los Alamos National Laboratory Safeguards and Security Systems Los Alamos NM United States Los Alamos National Laboratory International and Nuclear Systems Engineering Los Alamos NM United States Los Alamos National Laboratory Saft Guards Science and Technology Los Alamos NM United States Los Alamos National Laboratory Geophysics Los Alamos NM United States

Estimating plutonium (Pu) mass in spent nuclear fuel assemblies (SFAs) helps inspectors ensure that no Pu is diverted. Therefore, nondestructive assay (NDA) methods are being developed to assay Pu mass in SFAs. Uncertainty quantification is an important task in most assay methods, and particularly for SFA assay. A computer model (MCNPX) is being used to predict isotope masses and the spatial distribution of masses in virtual SFAs for 64 combinations of initial fuel enrichment (IE), fuel uti1iation [burnup (BU)], and cooling time (CT) values. Additional MCNPX modeling for the same 64 virtual SFAs provided the expected detector responses (DRs) for several NDA techniques such as the passive neutron albedo reactivity method and the 252 Cf interrogation with prompt neutrons method. A previous paper describes one uncertainty quantification approach involving Monte Carlo (MC) simulation using individually any of six new NDA options together with JE, BU, and CT. This paper provides an interpretation of the MC approach that is suited for a numerical Bayesian alternative, separately assesses the impact of MCNPX interpolation error, and compares several options to use subsets of IE, BU, CT, and one DR.

关键词： Monte Carlo methods

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Directed and elliptic flows of protons and deuterons in HADES Au+Au collisions at √sNN = 2.4 GeV

arXiv

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arXiv 2023年

作者： Du, Huan Wei, Gao-Feng Yong, Gao-Chan School of Physics and Electronic Science Guizhou Normal University Guiyang550025 China Guizhou Provincial Key Laboratory of Radio Astronomy and Data Processing Guizhou Normal University Guiyang550025 China Institute of Modern Physics Chinese Academy of Sciences Lanzhou730000 China School of Nuclear science and Technology University of Chinese Academy of Sciences Beijing100049 China

Within a transport model coupled with a microscopic coalescence model, the directed and elliptic flows of protons and deuterons as well as their scalling properties are studied in the centrality of 20-30% Au+Au collisions at √sNN = 2.4 GeV. It is found that the flows as well as their scaling properties simulated with the isospin- and momentum-dependent nuclear mean field with an incompressibility K0 = 230 MeV fit fairly the HADES data, while those simulated with the commonly used momentum-independent nuclear mean field with an incompressibility K0 = 380 MeV can only fit partially the HADES data. Moreover, by checking the rapidity distributions of both protons and deuterons in the centrality of 0-10% Au+Au collisions at √sNN = 2.4 GeV, we find that the rapidity distributions of deuterons are underestimated while those of protons are overestimated by the simulations with the momentum-independent nuclear mean field. In contrast, the rapidity distributions of both protons and deuterons simulated with the isospin- and momentum-dependent nuclear mean field are in good agreement with the HADES data. Our findings imply that the momentum dependence of nuclear mean field is an unavoidable feature for a fundamental understanding of nuclear matter properties and for the successful interpretation of the HADES data. © 2023, CC BY.

关键词： Momentum

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Compton scattering for photon and gluon in fixed-target collisions at AFTER@ LHC

arXiv

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arXiv 2022年

作者： Yu, Gongming Liu, Runlong Cai, Yanbing Gao, Quangui Hu, Qiang Fundamental Science on Nuclear Safety and Simulation Technology Laboratory Harbin Engineering University Harbin150000 China Guizhou Key Laboratory in Physics and Related Areas And Guizhou Key Laboratory of Big Data Statistic Analysis Guizhou University of Finance and Economics Guiyang550025 China Department of Physics Yuxi Normal University Yuxi653100 China Institute of Modern Physics Chinese Academy of Sciences Lanzhou730000 China

We calculate the Compton scattering for photon and gluon with the Klein- Nishina formula in fi xed-target collisions by using the proton and lead beams at AFTER@ LHC. In these collisions, we can investigate the particular case of Compton scattering at the partonic level, such as γq→qγ, gq→qγ, γq→qg, and gq→qg, that can help to check of the equivalent-photon approximation and understand the dynamics of hadron collisions at high energies, as well as probe the inner hadron structure. © 2022, CC BY.

关键词： Compton scattering

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Production of χc and ηc production in ultra-peripheral collisions with two-photon processes

arXiv

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arXiv 2022年

作者： Yu, Gongming Cai, Yanbing Gao, Quangui Hu, Qiang Fundamental Science on Nuclear Safety and Simulation Technology Laboratory Harbin Engineering University Harbin150000 China Guizhou Key Laboratory in Physics and Related Areas Guizhou Key Laboratory of Big Data Statistic Analysis Guizhou University of Finance and Economics Guiyang550025 China Department of Physics Yuxi Normal University Yuxi653100 China Institute of Modern Physics Chinese Academy of Sciences Lanzhou730000 China

We calculate the production of χc and ηc by the semi-coherent and coherent two-photon interaction in ultra-peripheral heavy ion collisions at Relativistic Heavy Ion Collider (RHIC) and Large Hadron Collider (LHC) energies. The differential cross section of transverse momentum distribution and rapidity distribution for AB →YY AHB (H=χc, and ηc) are estimated by using the equivalent photon approximation in ultra-peripheral nucleus-nucleus collisions. The numerical results demonstrate that the experimental study of χc and ηc in ultra-peripheral nucleus-nucleus collisions is feasible at RHIC and LHC energies. © 2022, CC BY.

关键词： Two photon processes

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