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arXiv 2023年

作者： Abusleme, Angel Adam, Thomas Ahmad, Shakeel Ahmed, Rizwan Aiello, Sebastiano Akram, Muhammad Aleem, Abid Alexandros, Tsagkarakis An, Fengpeng An, Qi Andronico, Giuseppe Anfimov, Nikolay Antonelli, Vito Antoshkina, Tatiana Asavapibhop, Burin de André, João Pedro Athayde Marcondes Auguste, Didier Bai, Weidong Balashov, Nikita Baldini, Wander Barresi, Andrea Basilico, Davide Baussan, Eric Bellato, Marco Beretta, Marco Bergnoli, Antonio Bick, Daniel Birkenfeld, Thilo Blum, David Blyth, Simon Bolshakova, Anastasia Bongrand, Mathieu Bordereau, Clément Breton, Dominique Brigatti, Augusto Brugnera, Riccardo Bruno, Riccardo Budano, Antonio Busto, Jose Cabrera, Anatael Caccianiga, Barbara Cai, Hao Cai, Xiao Cai, Yanke Cai, Zhiyan Callier, Stéphane Cammi, Antonio Campeny, Agustin Cao, Chuanya Cao, Guofu Cao, Jun Caruso, Rossella Cerna, Cédric Cerrone, Vanessa Chan, Chi Chang, Jinfan Chang, Yun Chen, Guoming Chen, Pingping Chen, Shaomin Chen, Yixue Chen, Yu Chen, Zhiyuan Chen, Zikang Cheng, Jie Cheng, Yaping Cheng, Yu Chin Chepurnov, Alexander Chetverikov, Alexey Chiesa, Davide Chimenti, Pietro Chu, Ziliang Chukanov, Artem Claverie, Gérard Clementi, Catia Clerbaux, Barbara Molla, Marta Colomer Di Lorenzo, Selma Conforti Coppi, Alberto Corti, Daniele Corso, Flavio Dal Dalager, Olivia De La Taille, Christophe Deng, Zhi Deng, Ziyan Depnering, Wilfried Diaz, Marco Ding, Xuefeng Ding, Yayun Dirgantara, Bayu Dmitrievsky, Sergey Dohnal, Tadeas Dolzhikov, Dmitry Donchenko, Georgy Dong, Jianmeng Doroshkevich, Evgeny Dou, Wei Dracos, Marcos Druillole, Frédéric Du, Ran Du, Shuxian Dusini, Stefano Duyang, Hongyue Enqvist, Timo Fabbri, Andrea Fahrendholz, Ulrike Fan, Lei Fang, Jian Fang, Wenxing Fargetta, Marco Fedoseev, Dmitry Fei, Zhengyong Feng, Li-Cheng Feng, Qichun Ferraro, Federico Fournier, Amélie Gan, Haonan Gao, Feng Garfagnini, Alberto Gavrikov, Arsenii Giammarchi, Marco Giudice, Nunzio Gonchar, Maxim Gong, Guanghua Gong, Hui Gornushkin, Yuri Göttel, Alexandre Grassi, Marco Gromov, Maxim Gromov, Vasily Gu, Minghao Gu, Xiaofei G Yerevan Physics Institute Yerevan Armenia Université Libre de Bruxelles Brussels Belgium Universidade Estadual de Londrina Londrina Brazil Pontificia Universidade Catolica do Rio de Janeiro Rio de Janeiro Brazil ANID Chile Pontificia Universidad Católica de Chile Santiago Chile Beijing Institute of Spacecraft Environment Engineering Beijing China Beijing Normal University Beijing China China Institute of Atomic Energy Beijing China Institute of High Energy Physics Beijing China North China Electric Power University Beijing China School of Physics Peking University Beijing China Tsinghua University Beijing China University of Chinese Academy of Sciences Beijing China Jilin University Changchun China College of Electronic Science and Engineering National University of Defense Technology Changsha China Chongqing University Chongqing China Dongguan University of Technology Dongguan China Jinan University Guangzhou China Sun Yat-Sen University Guangzhou China Harbin Institute of Technology Harbin China University of Science and Technology of China Hefei China The Radiochemistry and Nuclear Chemistry Group University of South China Hengyang China Wuyi University Jiangmen China Shandong University Jinan China Key Laboratory of Particle Physics and Particle Irradiation Ministry of Education Shandong University Qingdao China Nanjing University Nanjing China Guangxi University Nanning China East China University of Science and Technology Shanghai China School of Physics and Astronomy Shanghai Jiao Tong University Shanghai China Tsung-Dao Lee Institute Shanghai Jiao Tong University Shanghai China Institute of Hydrogeology and Environmental Geology Chinese Academy of Geological Sciences Shijiazhuang China Nankai University Tianjin China Wuhan University Wuhan China Xi’an Jiaotong University Xi’an China Xiamen University Xiamen China School of Physics and Microelectronics Zhengzhou University Zhengzhou China Institute of Physics National Yang

The Jiangmen Underground Neutrino Observatory (JUNO) is a large-scale neutrino experiment with multiple physics goals including determining the neutrino mass hierarchy, the accurate measurement of neutrino oscillation parameters, the neutrino detection from the supernova, the Sun, and the Earth, etc. JUNO puts forward physically and technologically stringent requirements for its central detector (CD), including a large volume and target mass (20 kt liquid scintillator, LS), a high energy resolution (3% at 1 MeV), a high light transmittance, the largest possible photomultiplier (PMT) coverage, the lowest possible radioactive background, etc. The CD design, using a spherical acrylic vessel with a diameter of 35.4 m to contain the LS and a stainless steel structure to support the acrylic vessel and PMTs, was chosen and optimized. The acrylic vessel and the stainless steel structure will be immersed in pure water to shield the radioactive background and bear great buoyancy. The challenging requirements of the acrylic sphere have been achieved, such as a low intrinsic radioactivity and high transmittance of the manufactured acrylic panels, the tensile and compressive acrylic node design with embedded stainless steel pad, one-time polymerization for multiple bonding lines. Moreover, several technical challenges of the stainless steel structure have been solved: the production of low radioactivity stainless steel material, the deformation and precision control during production and assembly, the usage of high strength stainless steel rivet bolt and of high friction efficient linkage plate. Finally, the design of the ancillary equipment like the LS filling, overflowing and circulating system was done. Copyright © 2023, The Authors. All rights reserved.

关键词： Radioactivity

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Real-time Monitoring for the Next Core-Collapse Supernova in JUNO

arXiv

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arXiv 2023年

作者： Abusleme, Angel Adam, Thomas Ahmad, Shakeel Ahmed, Rizwan Aiello, Sebastiano Akram, Muhammad Aleem, Abid An, Fengpeng An, Qi Andronico, Giuseppe Anfimov, Nikolay Antonelli, Vito Antoshkina, Tatiana Asavapibhop, Burin de André, João Pedro Athayde Marcondes Auguste, Didier Bai, Weidong Balashov, Nikita Baldini, Wander Barresi, Andrea Basilico, Davide Baussan, Eric Bellato, Marco Beretta, Marco Bergnoli, Antonio Bick, Daniel Bieger, Lukas Biktemerova, Svetlana Birkenfeld, Thilo Morton-Blake, Iwan Blum, David Blyth, Simon Bolshakova, Anastasia Bongrand, Mathieu Bordereau, Clément Breton, Dominique Brigatti, Augusto Brugnera, Riccardo Bruno, Riccardo Budano, Antonio Busto, Jose Cabrera, Anatael Caccianiga, Barbara Cai, Hao Cai, Xiao Cai, Yanke Cai, Zhiyan Callier, Stéphane Cammi, Antonio Campeny, Agustin Cao, Chuanya Cao, Guofu Cao, Jun Caruso, Rossella Cerna, Cédric Cerrone, Vanessa Chan, Chi Chang, Jinfan Chang, Yun Chatrabhuti, Auttakit Chen, Chao Chen, Guoming Chen, Pingping Chen, Shaomin Chen, Yixue Chen, Yu Chen, Zhangming Chen, Zhiyuan Chen, Zikang Cheng, Jie Cheng, Yaping Cheng, Yu Chin Chepurnov, Alexander Chetverikov, Alexey Chiesa, Davide Chimenti, Pietro Chin, Yen-Ting Chu, Ziliang Chukanov, Artem Claverie, Gérard Clementi, Catia Clerbaux, Barbara Molla, Marta Colomer Di Lorenzo, Selma Conforti Coppi, Alberto Corti, Daniele Csakli, Simon Corso, Flavio Dal Dalager, Olivia Datta, Jaydeep De La Taille, Christophe Deng, Zhi Deng, Ziyan Ding, Xiaoyu Ding, Xuefeng Ding, Yayun Dirgantara, Bayu Dittrich, Carsten Dmitrievsky, Sergey Dohnal, Tadeas Dolzhikov, Dmitry Donchenko, Georgy Dong, Jianmeng Doroshkevich, Evgeny Dou, Wei Dracos, Marcos Druillole, Frédéric Du, Ran Du, Shuxian Dugas, Katherine Dusini, Stefano Duyang, Hongyue Eck, Jessica Enqvist, Timo Fabbri, Andrea Fahrendholz, Ulrike Fan, Lei Fang, Jian Fang, Wenxing Fargetta, Marco Fedoseev, Dmitry Fei, Zhengyong Feng, Li-Cheng Feng, Qichun Ferraro, Federico Fournier, Amélie Gan, Haonan Gao, Feng Garfagnini, Alberto Gavrikov, Arsenii Giammarchi, Marco Giudic Yerevan Physics Institute Yerevan Armenia Université Libre de Bruxelles Brussels Belgium Universidade Estadual de Londrina Londrina Brazil Pontificia Universidade Catolica do Rio de Janeiro Rio de Janeiro Brazil ANID Chile Pontificia Universidad Católica de Chile Santiago Chile Beijing Institute of Spacecraft Environment Engineering Beijing China Beijing Normal University Beijing China China Institute of Atomic Energy Beijing China Institute of High Energy Physics Beijing China North China Electric Power University Beijing China School of Physics Peking University Beijing China Tsinghua University Beijing China University of Chinese Academy of Sciences Beijing China Jilin University Changchun China College of Electronic Science and Engineering National University of Defense Technology Changsha China Chongqing University Chongqing China Dongguan University of Technology Dongguan China Jinan University Guangzhou China Sun Yat-Sen University Guangzhou China Harbin Institute of Technology Harbin China University of Science and Technology of China Hefei China The Radiochemistry and Nuclear Chemistry Group University of South China Hengyang China Wuyi University Jiangmen China Shandong University Jinan China Key Laboratory of Particle Physics and Particle Irradiation of Ministry of Education Shandong University Qingdao China Nanjing University Nanjing China Guangxi University Nanning China East China University of Science and Technology Shanghai China School of Physics and Astronomy Shanghai Jiao Tong University Shanghai China Tsung-Dao Lee Institute Shanghai Jiao Tong University Shanghai China Institute of Hydrogeology and Environmental Geology Chinese Academy of Geological Sciences Shijiazhuang China Nankai University Tianjin China Wuhan University Wuhan China Xi'an Jiaotong University Xi'An China Xiamen University Xiamen China School of Physics and Microelectronics Zhengzhou University Zhengzhou China Institute of Physics National Ya

The core-collapse supernova (CCSN) is considered one of the most energetic astrophysical events in the universe. The early and prompt detection of neutrinos before (pre-SN) and during the supernova (SN) burst presents a unique opportunity for multi-messenger observations of CCSN events. In this study, we describe the monitoring concept and present the sensitivity of the system to pre-SN and SN neutrinos at the Jiangmen Underground Neutrino Observatory (JUNO), a 20 kton liquid scintillator detector currently under construction in South China. The real-time monitoring system is designed to ensure both prompt alert speed and comprehensive coverage of progenitor stars. It incorporates prompt monitors on the electronic board as well as online monitors at the data acquisition stage. Assuming a false alert rate of 1 per year, this monitoring system exhibits sensitivity to pre-SN neutrinos up to a distance of approximately 1.6 (0.9) kiloparsecs and SN neutrinos up to about 370 (360) kiloparsecs for a progenitor mass of 30 solar masses, considering both normal and inverted mass ordering scenarios. The pointing ability of the CCSN is evaluated by analyzing the accumulated event anisotropy of inverse beta decay interactions from pre-SN or SN neutrinos. This, along with the early alert, can play a crucial role in facilitating follow-up multi-messenger observations of the next galactic or nearby extragalactic CCSN. © 2023, CC BY.

关键词： Supernovae

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Mapping essential urban land use categories in China(EULUC-China):preliminary results for 2018

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science Bulletin 2020年第3期65卷 182-187页

作者： Peng Gong Bin Chen Xuecao Li Han Liu Jie Wang Yuqi Bai Jingming Chen Xi Chen Lei Fang Shuailong Feng Yongjiu Feng Yali Gong Hao Gu Huabing Huang Xiaochun Huang Hongzan Jiao Yingdong Kang Guangbin Lei Ainong Li Xiaoting Li Xun Li Yuechen Li Zhilin Li Zhongde Li Chong Liu Chunxia Liu Maochou Liu Shuguang Liu Wanliu Mao Changhong Miao Hao Ni Qisheng Pan Shuhua Qi Zhehao Ren Zhuoran Shan Shaoqing Shen Minjun Shi Yimeng Song Mo Su Hoi Ping Suen Bo Sun Fangdi Sun Jian Sun Lin Sun Wenyao Sun Tian Tian Xiaohua Tong Yihsing Tseng Ying Tu Hong Wang Lan Wang Xi Wan Zongming Wang Tinghai Wu Yaowen Xie Jian Yang Jun Yang Man Yuan Wenze Yue Hongda Zeng Kuo Zhang Neng Zhang Tao Zhang Yu Zhang Feng Zhao Yichen Zheng Qiming Zhou Nicholas Clinton Zhiliang Zhu Bing Xu Ministry of Education Key Laboratory for Earth System Modeling Department of Earth System ScienceTsinghua UniversityBeijing 100084China Tsinghua Urban Institute Tsinghua UniversityBeijing 100084China Center for Healthy Cities Institute for China Sustainable UrbanizationTsinghua UniversityBeijing 100084China Department of Land Air and Water ResourcesUniversity of CaliforniaDavisCA 95616-8627USA Department of Geological and Atmospheric Sciences Iowa State UniversityAmesIA 50011USA State Key Laboratory of Remote Sensing Science Institute of Remote Sensing and Digital EarthChinese Academy of SciencesBeijing 100101China AI for Earth Laboratory Cross-Strait InstituteTsinghua UniversityBeijing 100084China International Institute for Earth System Sciences Nanjing UniversityNanjing 210093China Research Center for Ecology and Environment of Central Asia Chinese Academy of SciencesUrumchi 830011China Key Laboratory of Forest Ecology and Management Institute of Applied EcologyChinese Academy of SciencesShenyang 110016China National Engineering Laboratory for Applied Technology in Forestry&Ecology in South China College of Life Science and TechnologyCentral South University of Forestry and TechnologyChangsha 410004China College of Surveying&Geo-Informatics Tongji UniversityShanghai 200092China Department of Urban Planning College of Architecture and Urban PlanningTongji UniversityShanghai 200092China Beijing Institute of Urban Planning Beijing 100045China Department of Urban Planning School of Urban DesignWuhan UniversityWuhan 430072China College of Earth Sciences Jilin UniversityChangchun 130061China Research Center for Digital Mountain and Remote Sensing Application Institute of Mountain Hazards and EnvironmentChinese Academy of SciencesChengdu 610041China Institute of Remote Sensing and Geographic Information System School of Earth and Space SciencesPeking UniversityBeijing 100871China Department of Urban and Regional Planning School of Geography and PlanningSun Yat-sen Univ

Land use reflects human activities on *** land use is the highest level human alteration on Earth,and it is rapidly changing due to population increase and *** areas have widespread effects on local hydrology,climate,biodiversity,and food production[1,2].However,maps,that contain knowledge on the distribution,pattern and composition of various land use types in urban areas,are limited to city *** mapping standard on data sources,methods,land use classification schemes varies from city to city,due to differences in financial input and skills of mapping *** address various national and global environmental challenges caused by urbanization,it is important to have urban land uses at the national and global scales that are derived from the same or consistent data sources with the same or compatible classification systems and mapping *** is because,only with urban land use maps produced with similar criteria,consistent environmental policies can be made,and action efforts can be compared and assessed for large scale environmental ***,despite of the fact that a number of urban-extent maps exist at global scales[3,4],more detailed urban land use maps do not exist at the same *** at big country or regional levels such as for the United States,China and European Union,consistent land use mapping efforts are rare[5,6](e.g.,https://***/open_land_use/).

关键词： EULUC-China 土地利用类型

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Latency-Aware In-Network Computing for Internet of Battery-Less Things

Latency-Aware In-Network Computing for Internet of Battery-L...

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IEEE Conference on Vehicular Technology (VTC)

作者： Qianao Ju Geng Sun Hongsheng Li Ying Zhang School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta Georgia U.S.A College of Computer Science and Technology Jilin University Changchun China School of Instrument Science and Engineering Southeast University Nanjing China

ISBN: (纸本)9781538663592;9781538663585

Recent advances in energy harvesting and green communication technologies give rise to the emerging Internet of Battery-less Things (IoBT). With prolonged lifetime and dense deployment, IoBT-operated networks contain huge computational power that is not fully utilized. With time-varying renewable energy, it is non-trivial to process latency-sensitive tasks in IoBT networks. In this paper, we propose a novel in-network computing framework to efficiently process latency-sensitive tasks. At the beginning of each time slot, the proposed framework first conducts task capacity check to derive the upper bound of the input data size that can be processed within the deadline. Then, a latency-aware data partition algorithm is developed to minimize the overall latency by jointly considering the energy budget and node position. The real world energy harvesting profiles are used to evaluate the proposed method. The simulation results demonstrate that the proposed method achieves significantly lower latency compared with the existing strategies for IoBT systems with varying ambient energy generation.

关键词： Task analysis Mathematical model Data processing Energy harvesting Renewable energy sources Internet of Things Computational modeling

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Learning and Predicting Method of Security State of Cloud Platform Based on Improved Hidden Markov Model

Learning and Predicting Method of Security State of Cloud Pl...

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International Conference on Smart City and Systems engineering (ICSCSE)

作者： Zhixin Li Lei Liu Yanli Zhang Bin Liu School of Computer Technology and Engineering Changchun Institute Of Technology Changchun China College of Computer Science and Technology Jilin University Changchun China Research and Development Center Jilin Dongguang Precision Mechanism Factory Td Changchun China Research and Development Center Changchun UP Optotech Co. Ltd. Changchun China

ISBN: (纸本)9781728113678;9781728113661

With the development and application of cloud computing platform, the learning and predicting method of security state of cloud platform provides security guarantee for cloud platform. However, due to the dynamic and uncertain nature of the cloud platform environment, the performance of learning and predicting of cloud platform security state will be affected. Therefore, the method of this paper combined the internal security state and observable state of the cloud platform to construct the cloud platform security state transition model, and established a linear regression AdaBoost learning and predicting algorithm for the observation state of cloud platform. Then, based on the observable state learning and predicting results, the hidden Markov model was used to learn and predict the security state of the cloud platform, and calculated the probability trend of the internal security state of the cloud platform in the future. The experimental results showed that compared with HMM, the proposed method could predict the hidden security state probability in the next two time periods in advance, and the convergence time and job response time increased by about 16% and 1% respectively.

关键词： Security Cloud computing Hidden Markov models Linear regression Prediction algorithms Virtual machining Probability

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Author Correction: Direct identification of Mott Hubbard band pattern beyond charge density wave superlattice in monolayer 1T-NbSe2

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Nature communications 2021年第1期12卷 2819页

作者： Liwei Liu Han Yang Yuting Huang Xuan Song Quanzhen Zhang Zeping Huang Yanhui Hou Yaoyao Chen Ziqiang Xu Teng Zhang Xu Wu Jiatao Sun Yuan Huang Fawei Zheng Xianbin Li Yugui Yao Hong-Jun Gao Yeliang Wang School of Information and Electronics MIIT Key Laboratory for Low-Dimensional Quantum Structure and Devices Beijing Institute of Technology Beijing China. liwei.liu@***. School of Information and Electronics MIIT Key Laboratory for Low-Dimensional Quantum Structure and Devices Beijing Institute of Technology Beijing China. State Key Laboratory of Integrated Optoelectronics College of Electronic Science and Engineering Jilin University Changchun China. Institute of Physics Chinese Academy of Sciences Beijing China. Key Lab of Advanced Optoelectronic Quantum Architecture and Measurement (MOE) and School of Physics Beijing Institute of Technology Beijing China.

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Macrocyclic Arenes-Based Conjugated Macrocycle Polymers for Highly Selective CO2Capture and Iodine Adsorption

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Angewandte Chemie 2021年第16期133卷

作者： Dihua Dai Jie Yang Prof. Yong-Cun Zou Jia-Rui Wu Prof. Li-Li Tan Prof. Yan Wang Prof. Bao Li Dr. Tong Lu Prof. Bo Wang Prof. Ying-Wei Yang State Key Laboratory of Inorganic Synthesis and Preparative Chemistry International Joint Research Laboratory of Nano-Micro Architecture Chemistry College of Chemistry Jilin University 2699 Qianjin Street Changchun 130012 P. R. China State Key Laboratory of Solidification Processing Center for Nano Energy Materials School of Materials Science and Engineering Northwestern Polytechnical University and Shaanxi Joint Laboratory of Graphene (NPU) 127 Youyi West Road Xi'an 710072 P. R. China State Key Laboratory of Supramolecular Structure and Materials College of Chemistry Jilin University 2699 Qianjin Street Changchun 130012 P. R. China Beijing Key Laboratory of Photoelectronic/Electrophotonic Conversion Materials Key Laboratory of Cluster Science Ministry of Education School of Chemistry and Chemical Engineering Beijing Institute of Technology Beijing 100081 P. R. China

Incorporating synthetic macrocycles with unique structures and distinct conformations into conjugated macrocycle polymers (CMPs) can endow the resulting materials with great potentials in gas uptake and pollutant adsorption. Here, four CMPs (CMP-n, n=1–4) capable of reversibly capturing iodine and efficiently separating carbon dioxide are constructed from per-triflate functionalized leaning tower[6]arene (LT6-OTf) and [2]biphenyl-extended pillar[6]arene (BpP6-OTf) via Pd-catalyzed Sonogashira–Hagihara cross-coupling reaction. Intriguingly, owing to the appropriate cavity size of LT6-OTf and the numerous aromatic rings in the framework, the newly designed CMP-4 possesses an outstanding I 2 affinity with a large uptake capacity of 208 wt % in vapor and a great removal efficiency of 94 % in aqueous solutions. To our surprise, with no capacity to accommodate nitrogen, CMP-2 constructed from BpP6-OTf is able to specifically capture carbon dioxide at ambient conditions.

关键词： conjugated polymers iodine capture selective adsorption supramolecular chemistry synthetic macrocycles

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The JUNO experiment Top Tracker

arXiv

引用

arXiv 2023年

作者： Abusleme, Angel Adam, Thomas Ahmad, Shakeel Ahmed, Rizwan Aiello, Sebastiano Akram, Muhammad Aleem, Abid Alexandros, Tsagkarakis An, Fengpeng An, Qi Andronico, Giuseppe Anfimov, Nikolay Antonelli, Vito Antoshkina, Tatiana Asavapibhop, Burin de André, João Pedro Athayde Marcondes Auguste, Didier Bai, Weidong Balashov, Nikita Baldini, Wander Barresi, Andrea Basilico, Davide Baussan, Eric Bellato, Marco Beretta, Marco Bergnoli, Antonio Bick, Daniel Birkenfeld, Thilo Blin, Sylvie Blum, David Blyth, Simon Bolshakova, Anastasia Bongrand, Mathieu Bordereau, Clément Breton, Dominique Brigatti, Augusto Brugnera, Riccardo Bruno, Riccardo Budano, Antonio Busto, Jose Cabrera, Anatael Caccianiga, Barbara Cai, Hao Cai, Xiao Cai, Yanke Cai, Zhiyan Callier, Stéphane Cammi, Antonio Campeny, Agustin Cao, Chuanya Cao, Guofu Cao, Jun Caruso, Rossella Cerna, Cédric Cerrone, Vanessa Chan, Chi Chang, Jinfan Chang, Yun Chen, Chao Chen, Guoming Chen, Pingping Chen, Shaomin Chen, Yixue Chen, Yu Chen, Zhiyuan Chen, Zikang Cheng, Jie Cheng, Yaping Cheng, Yu Chin Chepurnov, Alexander Chetverikov, Alexey Chiesa, Davide Chimenti, Pietro Chu, Ziliang Chukanov, Artem Claverie, Gérard Clementi, Catia Clerbaux, Barbara Molla, Marta Colomer Di Lorenzo, Selma Conforti Coppi, Alberto Corti, Daniele Corso, Flavio Dal Dalager, Olivia De La Taille, Christophe Deng, Zhi Deng, Ziyan Depnering, Wilfried Diaz, Marco Ding, Xuefeng Ding, Yayun Dirgantara, Bayu Dmitrievsky, Sergey Dohnal, Tadeas Dolzhikov, Dmitry Donchenko, Georgy Dong, Jianmeng Doroshkevich, Evgeny Dou, Wei Dracos, Marcos Drapier, Olivier Druillole, Frédéric Du, Ran Du, Shuxian Dugas, Katherine Dusini, Stefano Duyang, Hongyue Eck, Jessica Enqvist, Timo Fabbri, Andrea Fahrendholz, Ulrike Fan, Lei Fang, Jian Fang, Wenxing Fargetta, Marco Fedoseev, Dmitry Fei, Zhengyong Felici, Giulietto Feng, Li-Cheng Feng, Qichun Ferraro, Federico Fournier, Amélie Gan, Haonan Gao, Feng Garfagnini, Alberto Gavrikov, Arsenii Gerasimov, Vladimir Giammarchi, Marco Giudice, Nunzio Gonchar, Maxim Gong, Guanghua Gong Yerevan Physics Institute Yerevan Armenia Université Libre de Bruxelles Brussels Belgium Universidade Estadual de Londrina Londrina Brazil Pontificia Universidade Catolica do Rio de Janeiro Rio de Janeiro Brazil ANID Chile Pontificia Universidad Católica de Chile Santiago Chile Universidad Tecnica Federico Santa Maria Valparaiso Chile Beijing Institute of Spacecraft Environment Engineering Beijing China Beijing Normal University Beijing China China Institute of Atomic Energy Beijing China Institute of High Energy Physics Beijing China North China Electric Power University Beijing China School of Physics Peking University Beijing China Tsinghua University Beijing China University of Chinese Academy of Sciences Beijing China Jilin University Changchun China College of Electronic Science and Engineering National University of Defense Technology Changsha China Chongqing University Chongqing China Dongguan University of Technology Dongguan China Jinan University Guangzhou China Sun Yat-Sen University Guangzhou China Harbin Institute of Technology Harbin China University of Science and Technology of China Hefei China The Radiochemistry and Nuclear Chemistry Group in University of South China Hengyang China Wuyi University Jiangmen China Shandong University Jinan China Key Laboratory of Particle Physics and Particle Irradiation of Ministry of Education Shandong University Qingdao China Nanjing University Nanjing China Guangxi University Nanning China East China University of Science and Technology Shanghai China School of Physics and Astronomy Shanghai Jiao Tong University Shanghai China Tsung-Dao Lee Institute Shanghai Jiao Tong University Shanghai China Institute of Hydrogeology and Environmental Geology Chinese Academy of Geological Sciences Shijiazhuang China Nankai University Tianjin China Wuhan University Wuhan China Xi’an Jiaotong University Xi’an China Xiamen University Xiamen China School of Physics and Microelectronics Zhengzhou

The main task of the Top Tracker detector of the neutrino reactor experiment Jiangmen Underground Neutrino Observatory (JUNO) is to reconstruct and extrapolate atmospheric muon tracks down to the central detector. This muon tracker will help to evaluate the contribution of the cosmogenic background to the signal. The Top Tracker is located above JUNO’s water Cherenkov Detector and Central Detector, covering about 60% of the surface above them. The JUNO Top Tracker is constituted by the decommissioned OPERA experiment Target Tracker modules. The technology used consists in walls of two planes of plastic scintillator strips, one per transverse direction. Wavelength shifting fibres collect the light signal emitted by the scintillator strips and guide it to both ends where it is read by multianode photomultiplier tubes. Compared to the OPERA Target Tracker, the JUNO Top Tracker uses new electronics able to cope with the high rate produced by the high rock radioactivity compared to the one in Gran Sasso underground laboratory. This paper will present the new electronics and mechanical structure developed for the Top Tracker of JUNO along with its expected performance based on the current detector simulation. Copyright © 2023, The Authors. All rights reserved.

关键词： Photomultipliers

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Energy Platform for Directed Charge Transfer in the Cascade Z-Scheme Heterojunction: CO2Photoreduction without a Cocatalyst

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Angewandte Chemie 2021年第38期133卷

作者： Dr. Ji Bian Dr. Ziqing Zhang Jiannan Feng Dr. Madasamy Thangamuthu Dr. Fan Yang Ling Sun Dr. Zhijun Li Dr. Yang Qu Prof. Dongyan Tang Zewei Lin Prof. Fuquan Bai Prof. Junwang Tang Prof. Liqiang Jing Department Key Laboratory of Functional Inorganic Materials Chemistry (Ministry of Education) School of Chemistry and Materials Science International Joint Research Center and Lab for Catalytic Technology Heilongjiang University Harbin 150080 P. R. China School of Chemistry and Chemical Engineering Harbin Institute of Technology Harbin 150001 P. R. China Department of Chemical Engineering University College London Torrington Place London WC1E 7JE UK International Joint Research Laboratory of Nano-Micro Architecture Chemistry Institute of Theoretical Chemistry and College of Chemistry Jilin University Changchun 130021 P. R. China

A universal strategy is developed to construct a cascade Z-Scheme system, in which an effective energy platform is the core to direct charge transfer and separation, blocking the unexpected type-II charge transfer pathway. The dimension-matched (001)TiO 2 -g-C 3 N 4 /BiVO 4 nanosheet heterojunction (T-CN/BVNS) is the first such model. The optimized cascade Z-Scheme exhibits ≈19-fold photoactivity improvement for CO 2 reduction to CO in the absence of cocatalysts and costly sacrificial agents under visible-light irradiation, compared with BVNS, which is also superior to other reported Z-Scheme systems even with noble metals as mediators. The experimental results and DFT calculations based on van der Waals structural models on the ultrafast timescale reveal that the introduced T as the platform prolongs the lifetimes of spatially separated electrons and holes and does not compromise their reduction and oxidation potentials.

关键词： charge lifetime charge modulation heterojunctions photocatalysis Z-Scheme heterojunctions

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Multimode -symmetry thresholds and third-order exceptional points in coupled dielectric waveguides with loss and gain

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Journal of Optics 2021年第12期23卷

作者： Anton V Hlushchenko Denis V Novitsky Vitalii I Shcherbinin Vladimir R Tuz State Key Laboratory of Integrated Optoelectronics College of Electronic Science and Engineering International Center of Future Science Jilin University 2699 Qianjin Street Changchun 130012 People's Republic of China National Science Center 'Kharkiv Institute of Physics and Technology' of National Academy of Sciences of Ukraine 1 Akademicheskaya Street Kharkiv 61108 Ukraine B. I. Stepanov Institute of Physics National Academy of Sciences of Belarus 68 Nezavisimosti Avenue Minsk 220072 Belarus School of Radiophysics Biomedical Electronics and Computer Systems V. N. Karazin Kharkiv National University 4 Svobody Square Kharkiv 61022 Ukraine

A pair of coupled dielectric waveguides with balanced loss and gain is the basic system for observing the phenomena of parity-time () symmetry and exceptional points (EPs). We use the multimode analytical approach to study the peculiarities of interaction between the modes excited in such an archetypal structure. With this approach, the conditions for symmetry breaking are obtained in the special case of the hybrid HE and EH modes resulting in the ordinary second-order EPs (or -symmetry thresholds). The coupling of modes with the different azimuthal indices (the TM01 and HE21 modes in our study) generates the uncommon types of EPs. First, there are the so-called multimode -symmetry thresholds due to interaction of hybrid and transverse modes. Second, the third-order EPs appear as a result of three-modes degeneracy of real eigenvalues. It is noteworthy that an increase in the EPs order is achieved without both breaking the symmetry and introducing additional elements into the waveguide structure. The results obtained with the multimode analytical approach are in perfect agreement with the independent full-wave simulations.

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