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2018 4th Workshop on Advanced Research and technology in Industry Applications(WARTIA 2018)

作者： He Jianfeng Huang Sheng Ye Zhixiang Wang Xueyuan Li Xiang Zhou Shirong Fundamental Science on Radioactive Geology and Exploration Technology Laboratory East China Institute of Technology Jiangxi Engineering Laboratory on Radioactive Geoscience and Big Data Technology East China University of Technology Jiangxi Engineering Technology Research Center of Nuclear Geoscience Data Science and System East China University of Technology Jiangxi Food and Drug Administration

The peak position of each peak is determined accurately in the spectra, which is a key problem in the analysis of γ-ray spectrum. In this paper, basis of comparing the Gaussian product function method and the symmetrical zero area method, the IAEA-approved G-1200 is selected as the peak-searching test spectra, the simulation experiment based on MATLAB is used for the test analysis and to extract the corresponding characteristic parameters of the spectral line. Aiming at the respective advantages of the two peak searching methods in γ-ray spectrum analysis, a method of combined peak-searching for symmetric zero area and Gaussian product function is proposed, which the statistical fluctuation of spectral data is effectively reduced, the background effect is eliminated, the peak positions information is highlighted, and the true peaks or false peaks can be identified according to the preset conditions. The result of experiment represents that symmetric zero area and Gaussian product function combined peak-searching method to peak-searching is also suitable for unsmooth data, this method has the advantages of small calculation amount, fast searching speed and obvious effect.

关键词： γ-ray Energy Spectra Gaussian Product Function Method Symmetric Zero Area Method Combined Peak-Searching

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Can decay heat measurements tell us something about the Reactor Antineutrino Anomaly?

arXiv

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arXiv 2022年

作者： Sonzogni, A.A. Lorek, R.J. Mattera, A. McCutchan, E.A. Nuclear Science & Technology Department Brookhaven National Laboratory UptonNY11973-5000 United States National Nuclear Data Center Brookhaven National Laboratory UptonNY11973-5000 United States

Measurements of the decay energy released as a function of time following the thermal neutron induced fission of 235U and 239,241Pu were performed in the 1970s at Oak Ridge National laboratory with the purpose of quantifying possible Loss Of Coolant Accident scenarios. The derivative of this decay energy with respect to time, known in technical parlance as decay heat, is mainly composed of two terms, that of the electrons produced together with antineutrinos in the beta-minus decay of the neutron-rich fission products, and that of the gamma rays produced in the subsequent decay of excited nuclear levels. In this work we study if this extensive set of decay energy measurements can be used to assess the Reactor Antineutrino Anomaly, that is, the approximately 5% deficit of electron antineutrinos produced by nuclear reactors, first deduced by Mention and collaborators in 2011, and observed by the major reactor antineutrino experiments since. With the assistance of nuclear databases, we are able to obtain the ratio of electron spectra under equilibrium conditions for 235U to 239Pu, in better agreement with the lower trend recently reported by Kopeikin and collaborators, as well as those for 235U to 241Pu and 241Pu to 239Pu, which do not agree well with those measured at the Institut Laue-Langevin in the 1980s. We conclude that a new experimental campaign is needed to measure the electron spectra utilizing a high-resolution and signal-to-noise-ratio electron spectrometer and a highly precise fission normalization procedure. © 2022, CC BY.

关键词： Fission products

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VG-Net: Sensor Time Series Anomaly Detection with Joint Variational Autoencoder and Graph Neural Network 10

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

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10th IEEE Smart World Congress, SWC 2024

作者： Wang, Shuai Liu, Shenghao Fan, Xiaoxuan Wang, Haijun Zhou, Yinxin Gao, Hanjun Lu, Hongwei Deng, Xianjun Huazhong University of Science and Technology Hubei Key Laboratory of Distributed System Security Hubei Engineering Research Center on Big Data Security School of Cyber Science and Engineering Wuhan430074 China Hunan Technical College of Railway High-speed China Nanjing University of Posts and Telecommunications China China National Nuclear Power Co Ltd China

ISBN: (纸本)9798331520861

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. © 2024 IEEE.

关键词： Graph neural networks

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Overview of the JEM-EUSO Program

Overview of the JEM-EUSO Program

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7th International Symposium on Ultra-High-Energy Cosmic Rays, UHECR 2024

作者： Caruso, Rossella Abdullahi, M. Abe, S. Abrate, M. Adams, J.H. Allard, D. Alldredge, P. Aloisio, R. Ammendola, R. Anchordoqui, L. Andreoli, V. Anzalone, A. Arnone, E. Badoni, D. Bagheri, M. Baret, B. Barghini, D. Battisti, M. Bekele, N. Bellotti, R. Belov, A.A. Bertaina, M. Betts, M. Biermann, P. Bisconti, F. Blaksley, C. Blin-Bondil, S. Boezio, M. Bowaire, A.N. Burton, J. Cafagna, F. Campana, D. Capel, F. Caruso, R. Casolino, M. Cassardo, C. Castellina, A. Černý, K. Conti, L. Coretti, A.G. Cremonini, R. Creusot, A. Cummings, A. De Santis, C. de la Taille, C. Di Giovanni, A. Diesing, R. Ebisuzaki, T. Engel, R. Eser, J. Fenu, F. Ferrarese, S. Filippatos, G. Finch, W.W. Fornaro, C. Fuglesang, C. Fukushima, M. Garg, D. Gardiol, D. Garipov, G.K. Gazda, E. Golzio, A. Guépin, C. Haroon, Q. Haungs, A. Heibges, T. Isgrò, F. Judd, E.G. Kajino, F. Kaneko, I. Kupari, L. Kim, S.-W. Klimov, P.A. Kreykenbohm, I. Krizmanic, J.F. Kungel, V. Kuznetsov, E. Liberatori, F. Lima, H.P. Luppa, R. Mandát, D. Manfrin, M. Marcelli, A. Marcelli, L. Marszal, W. Masciantonio, G. Matthews, J.N. Mayotte, E. Mese, M. Meyer, S.S. Mignone, M. Miller, M. Mimouni, J. Miyamoto, H. Mizumoto, Y. Moses, J. Munini, R. Nagataki, S. Nathan, C. Neronov, A. Nicolaidis, R. Nonaka, T. Nozzoli, F. M’sihid, E. Ogawa, T. Ogio, S. Ohmori, H. Olinto, A.V. Onel, Y. Osteria, G. Otte, A.N. Panico, B. Parizot, E. Park, I.H. Paul, T. Pech, M. Perfetto, F. Perrone, L. Petta, C. Picozza, P. Piotrowski, L.W. Pitu, R. Plebaniak, Z. Potts, M. Prévôt, G. Przybylak, M. Reali, E. Reardon, P. Reno, M.H. Reynaud, F. Ricci, E. Ricci, M. Matamala, O.F. Romero Sagawa, H. Sakaki, N. Sarazin, F. Sato, M. Schovánek, P. Scotti, V. Sharakin, S.A. Scherini, V. Schieler, H. Shinozaki, K. Sotgiu, A. Sparvoli, R. Castro, R. Spinola Stillwell, B. Szabelski, J. Tajima, N. Tajima, T. Takahashi, Y. Takeda, M. Takizawa, Y. Thomas, S.B. Department of Physics and Astronomy "E.Majorana" University of Catania INFN-Catania Via Santa Sofia 64 Catania95123 Italy Algiers Algeria Univ. Constantine I Constantine Algeria Joint Laboratory of Optics Faculty of Science Palacký University Olomouc Czech Republic Institute of Physics Czech Academy of Sciences Prague Czech Republic Omega Ecole Polytechnique CNRS IN2P3 Palaiseau France Université de Paris CNRS ParisF-75013 France France Laboratoire Univers et Particules de Montpellier Universit Montpellier CNRS IN2P3 CC72 place Eugne Bataillon Montpellier34095 Cedex 5 France Germany Max Planck Institute for Physics Munich Germany University of Erlangen-Nuremberg Erlangen Germany Istituto Nazionale di Fisica Nucleare Sezione di Bari Italy Università degli Studi di Bari Aldo Moro Italy Dipartimento di Fisica e Astronomia "Ettore Majorana" Università di Catania Italy Istituto Nazionale di Fisica Nucleare Sezione di Catania Italy Istituto Nazionale di Fisica Nucleare Laboratori Nazionali di Frascati Italy Istituto Nazionale di Fisica Nucleare Sezione di Napoli Italy Università di Napoli Federico II Dipartimento di Fisica "Ettore Pancini" Italy INAF - Istituto di Astrofisica Spaziale e Fisica Cosmica di Palermo Italy Istituto Nazionale di Fisica Nucleare Sezione di Roma Tor Vergata Italy Università di Roma Tor Vergata Dipartimento di Fisica Roma Italy Istituto Nazionale di Fisica Nucleare Sezione di Torino Italy Dipartimento di Fisica Università di Torino Italy Osservatorio Astrofisico di Torino Istituto Nazionale di Astrofisica Italy Uninettuno University Rome Italy Agenzia Spaziale Italiana Via del Politecnico Roma00133 Italy Gran Sasso Science Institute L’Aquila Italy INFN Gran Sasso National Laboratory AQ AssergiI-67100 Italy University of Salento via per Arnesano Lecce73100 Italy INFN Section of Lecce via per Arnesano Lecce73100 Italy Centro Universitario di Monte Sant’Angelo Via Cintia Naples80126 Italy Arpa Piemonte

Since 2010, the international JEM-EUSO (Joint Exploratory Missions for Extreme Universe Space Observatory) Collaboration has been developing an ambitious program with the support of major International and National Space Agencies and research funding institutions, to enable UltraHigh-Energy Cosmic Ray (UHECR) and High-Energy (HE) neutrino observations from space. Its main objective is to develop a large mission with dedicated instrumentation looking down on the Earth atmosphere from space, both towards nadir and/or towards the limb, to detect the Extensive Air Showers (EAS) initiated by such particles in the atmosphere. This strategy is intended to complement the observations made with ground-based observatories, by allowing a significant increase in the exposure at the highest energies, and achieving near-uniform full sky coverage, as part of the global effort to better characterize the phenomenology of UHECRs, discover their sources and understand their acceleration mechanism. In the last decade, the JEM-EUSO Collaboration successfully developed five intermediate missions: one ground based (EUSO-TA), three balloon-borne (EUSO-Balloon, EUSO-SPB1, EUSO-SPB2) and one space-based (MiniEUSO), and also benefited from the experience gained by the space mission TUS. Important studies for a full-scale mission have also been carried out, namely K-EUSO and the stereo double telescope Probe Of Extreme Multi-Messenger Astrophysics (POEMMA), to be considered for a NASA Probe Mission in the next decade. The technical and scientific achievements of this rich and manifold program are reported on, as well as the scientific objectives updated in the light of the knowledge gained from the previous missions, and additional scientific objectives accessible to such unique technology. Finally, the near-future developments of the JEM-EUSO Program are briefly presented, with the continuation of the Mini-EUSO observations and the new balloon-borne mission PBR. © Copyright owned by the autho

关键词： Clouds

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Evaluation of CdZnTe spectrometer performance in measuring energy spectra during interventional radiology procedure

引用

nuclear science and Techniques 2019年第9期30卷 55-60页

作者： Lin Chai Lian Chen Cui-Ping Yang Dong-Dong Zhou Meng-Meng Yang Wei-Wei Qu Gao-Long Zhang Da-Qian Hei Shou-Ping Xu Xin-Jian Chen State Key Laboratory of Radiation Medicine and Protection School of Radiation Medicine and Protection Soochow University Suzhou 215123 China State Key Laboratory of Particle Detection and Electronics University of Science and Technology of China Hefei 230026 China Collaborative Innovation Center of Radiological Medicine of Jiangsu Higher Education Institutions Suzhou 215123 China School of Physics and Nuclear Energy Engineering Beihang University Beijing 100191 China Beijing Advanced Innovation Center for Big Data-Based Precision Medicine Beihang University Beijing 100083 China College of Materials Science and Engineering Nanjing University of Aeronautics and Astronautics Nanjing 211106 China Department of Radiation Oncology PLA General Hospital Beijing 100853 China

Interventional radiology has been beneficial for patients for over 30 years of age with the combination of diagnostic and therapeutic methods. The radiation affecting occupationally exposed workers should be evaluated by means of the energy spectra and flux of X-rays in the treatment room. The present study aims to obtain the energy spectra of interventional procedures and study the capability of some detectors to evaluate the dose in interventional procedures. These measurements were taken by silicon-drift, CdTe, and CdZnTe detectors. The energy spectra were corrected by the energy-response curve of each detector. The energy-response curves of silicon-drift and CdTe detectors provided by the manufacturers specification were used. The energy response of the CdZnTe detector was measured by 133Ba and 152Eu γ sources. The experimental data were compared with the simulation results, and their perfect agreement provides a way to correct the energy or dose response, which can be used for the personal dosimeter developed by our group. Moreover, the measured energy spectra can be used in individual radiation protection. The present study shows that the CdZnTe detector is a good candidate detector in interventional procedures.

关键词： Interventional radiology procedures Energyresponse curve Energy spectrum Radiation protection

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Integrating Probabilistic Graphical Models, Information Theory, and the Principle of Increase of Entropy for Quantifying and Analyzing the Uncertainty in Fault Interpretation

SSRN

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SSRN 2023年

作者： Lei, Zhicheng Jiangxi Engineering Laboratory on Radioactive Geoscience and Big Data Technology East China University of Technology Nanchang330013 China Jiangxi Engineering Technology Research Center of Nuclear Geoscience Data Science and System East China University of Technology Nanchang330013 China

Fault interpretation in geology inherently involves uncertainty, and there is a growing need to develop methods to quantify and analyze this uncertainty. In this paper, we propose a novel framework that integrates Markov chains, graph theory, information theory, and the principle of increase of entropy to comprehensively analyze uncertainty in fault interpretation and its geological implications. Our framework provides a more complete and quantitative approach compared to traditional methods. We demonstrate how entropy can be used to quantify the uncertainty in fault interpretation and kinematic analysis results, and how it can be interpreted for faulting analysis and the analysis of fault network evolution using the principle of increase of entropy. Our findings suggest that entropy can serve as a metric to compare different fault networks, and it provides a measure of the total available evolutionary paths for a fault network, enabling the quantification of uncertainty in fault kinematic analysis results. The integration of these tools provides a powerful approach for quantifying and analyzing the uncertainty in fault interpretation, which can enhance our understanding of the geological implications of uncertainty and enable geologists to analyze fault networks in a more quantitative manner. © 2023, The Authors. All rights reserved.

关键词： Uncertainty analysis

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New level scheme and shell model description of the near-spherical nucleus Nb94

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Physical Review C 2024年第5期110卷 054309-054309页

作者： Y. Q. Li (李韵秋) C. B. Li (李聪博) Y. Zheng (郑云) T. X. Li (李天晓) X. G. Wu (吴晓光) R. Hong (洪锐) S. X. Guan (关少雄) H. Y. Wu (吴鸿毅) M. Zheng (郑敏) Department of Nuclear Physics China Institute of Atomic Energy Beijing 102413 China Key Laboratory of Nuclear Data China Institute of Atomic Energy Beijing 102413 China Department of Science Xihua University Chengdu 610039 China School of Physics and State Key Laboratory of Nuclear Physics and Technology Peking University Beijing 100871 China

High-spin states of Nb94 have been studied by in-beam γ-ray spectroscopic methods using the Se82(O18,p5n)Nb94 reaction at beam energies of 82 and 88 MeV. Particle-γ−γ coincidence measurements using CsI and high-purity germanium arrays are employed to gain selectivity to Nb isotopic products. The level scheme of Nb94 has been extended up to excitation energy ≈11MeV and spin 24ℏ with the addition of 20 new γ transitions, and the placement of some of the previously known transitions has been revised. The energy spectrum bears signature of core breaking, viz., presence of high energy (Eγ≈2MeV) γ rays originating due to excitation of nucleons across the shell gaps. The proposed level scheme is compared with large basis spherical shell model calculations using the GWBXG and SNET interactions.

关键词： Fusion evaporation reactions High spin states nuclear spin & parity nuclear structure & decays Shell model 90 ≤ A ≤ 149

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Prospect for measurement of the CP-violating phase in the channel at a future Z factory

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The European Physical Journal C 2024年第8期84卷 1-11页

作者： Li, Xiaomei Ruan, Manqi Zhao, Mingrui Science and Technology on Nuclear Data Laboratory China Institute of Atomic Energy Beijing China Institute of High Energy Physics Chinese Academy of Sciences Beijing China Niels Bohr Institute University of Copenhagen Copenhagen Denmark

The CP-violating phase $$\phi _s$$ , the $$B_{s}$$ decay width ( $$\varGamma _s$$ ), and the $$B_{s}$$ decay width difference ( $$\varDelta \varGamma _s$$ ) are sensitive probes to new physics and can constrain the heavy quark expansion theory. The potential for the measurement at future Z factories is studied in this manuscript. It is found that operating at Tera-Z mode, the expected precision can reach: $$\sigma (\phi _s) = 4.6~\textrm{mrad}$$ , $$\sigma (\varDelta \varGamma _s) = 2.4~\mathrm {ns^{-1}}$$ and $$\sigma (\varGamma _s) = 0.72~\mathrm {ns^{-1}}$$ . The precision of $$\phi _s $$ is 40% larger than the expected precision with the LHCb experiment at HL-LHC. If operating at 10-Tera-Z mode, the precision of $$\phi _s $$ can be measured at 45% of the precision obtained from the LHCb experiment at HL-LHC. However, the measurement of $$\varGamma _s$$ and $$\varDelta \varGamma _s$$ cannot benefit from the excellent time resolution and tagging power of the future Z-factories. Only operating at 10-Tera-Z mode can the $$\varGamma _s$$ and $$\varDelta \varGamma _s$$ reach an 18% larger precision than the precision expected to be obtained from LHCb at HL-LHC. The control of penguin contamination at the future Z-factories is also discussed.

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Determination of the cross section from 10 to 200 keV at the Back-n facility at CSNS

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The European Physical Journal A 2023年第10期59卷 1-11页

作者： Wang, Jincheng Ren, Jie Jiang, Wei Ruan, Xichao Sun, Qi Hu, Jifeng Jiang, Bing Bao, Jie Zhang, Qiwei Luan, Guangyuan Huang, Hanxiong Nie, Yangbo Ge, Zhigang An, Qi Bai, Haofan Bai, Jiangbo Cao, Ping Chen, Qiping Chen, Yonghao Chen, Zhen Cui, Zengqi Fan, Anchuan Fan, Ruirui Feng, Changqing Feng, Fanzhen Gao, Keqing Gu, Minhao Han, Changcai Han, Zijie He, Guozhu He, Yongcheng Hong, Yang Hu, Yiwei Jia, Weihua Jiang, Haoyu Jiang, Zhijie Jin, Zhengyao Kang, Ling Li, Bo Li, Chao Li, Gong Li, Jiawen Li, Qiang Li, Yang Liu, Jie Liu, Rong Liu, Shubin Ning, Changjun Qi, Binbin Ren, Zhizhou Song, Zhaohui Sun, Kang Tan, Zhixin Tang, Jingyu Tang, Shengda Wang, Lijiao Wang, Pengcheng Wang, Zhaohui Wen, Zhongwei Wu, Xiaoguang Wu, Xuan Xie, Likun Yang, Yiwei Yi, Han Yu, Yongji Zhang, Guohui Zhang, Linhao Zhang, Mohan Zhang, Xianpeng Zhang, Yuliang Zhang, Yue Zhang, Zhiyong Zhao, Maoyuan Zhou, Luping Zhu, Kejun Zhang, Jie Key Laboratory of Nuclear Data China Institute of Atomic Energy Beijing China Institute of High Energy Physics Chinese Academy of Sciences (CAS) Beijing China Spallation Neutron Source Science Center Dongguan China Shanghai Institute of Applied Physics Chinese Academy of Sciences Shanghai China State Key Laboratory of Particle Detection and Electronics University of Science and Technology of China Hefei China Department of Modern Physics University of Science and Technology of China Hefei China State Key Laboratory of Nuclear Physics and Technology School of Physics Peking University Beijing China Institute of Nuclear Physics and Chemistry China Academy of Engineering Physics Mianyang China School of Nuclear Science and Technology University of Science and Technology of China Hefei China USTC Archaeometry Lab University of Science and Technology of China Hefei China State Key Laboratory of Particle Detection and Electronics Institute of High Energy Physics Chinese Academy of Sciences Beijing China Northwest Institute of Nuclear Technology Xi’an China University of Chinese Academy of Sciences Beijing China

The neutron capture cross section of $$^{232}Th$$ has been measured with the time-of-flight technique in the energy range from 10 to 200 keV at the back-streaming white neutron beam-line (Back-n) of China Spallation Neutron Source (CSNS). The pulse height weighting technique (PHWT) was applied with four C $$_{6}$$ D $$_{6}$$ liquid scintillators to measure the prompt gamma-ray energy release following neutron capture. The measurement data, corrected with the PHWT, have been normalized to the saturated resonances at 21.8 eV. The background was determined by a lead sample measurement and detailed Monte Carlo simulations. The $$^{232}Th(n,\gamma )$$ average cross sections have been determined relative to the $$^{197}Au(n,\gamma )$$ reaction cross sections. The results are consistent with the evaluation values of CENDL-3.2 and JENDL-5. The total uncertainties, including the PHWT, normalization, background subtraction, corrections, and relative measurement, are in the range of 4.5–4.8%.

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Natural image classification based on multi-parameter optimization in deep convolutional neural network

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International Journal of Performability Engineering 2019年第9期15卷 2515-2521页

作者： Wang, Lei Zhang, Yanning Xi, Runping Ling, Lu School of Computer Northwestern Polytechnical University Xi'an710072 China National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology Xi'an710072 China Jiangxi Engineering Technology Research Center of Nuclear Geoscience Data Science and System East China University of Technology Nanchang330013 China

Traditional machine learning algorithms cannot adequately train the parameters of networks using massive data. A deep convolutional neural network based on multi-parameter optimization by the TensorFlow deep learning framework is designed in this paper. In order to improve the training speed and prevent over-fitting, we improve and optimize the multi-parameters, including the batch value, dropout, and momentum in the network structure. The experiment involves training and testing on the standard natural image data sets in cifar-10 and cifar-100. The experimental results show that the method achieve better classification accuracy in less time compared with other algorithms, such as Conv-KN, ImageNet-2010, SVM, LR, and Boosting. © 2019 Totem Publisher, Inc. All rights reserved.

关键词： Image classification

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