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Technical analysis of 3DTV and outstanding issues

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Journal of shanghai university(English Edition) 2011年第4期15卷 316-320页

作者：张兆杨程浩沈礼权杨高波 Key Laboratory of Advanced Display and System Application (shanghai university) Ministry of Education College of computer and Communication Hunan University

This paper analyzes the technical characteristic of three-dimensional display technology （3DTV） system and some core technologies yet to be solved. It points out the ways to solve these problems and presents an effe... 详细信息

关键词： three-dimensional (3D) display multi-view/depth coding inter-view rendering discomfort of watching threedimensional display technology (3DTV)

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室内场景拟人交互研究进展

中国图象图形学报 2024年第6期29卷 1575-1606页

作者：杜韬胡瑞珍刘利斌弋力赵昊清华大学交叉信息研究院北京100084 上海人工智能实验室上海200232 上海期智研究院上海200232 深圳大学计算机与软件学院深圳518061 北京大学智能学院北京100871 清华大学智能产业研究院北京100084

人类智能是在与环境交互中进化的,因而如何实现智能体与环境的自主交互是推进智能演化的关键。环境自主交互是一项涉及计算机图形学、计算机视觉和机器人等多个学科领域的研究课题,引起广泛的关注和探究,学术界已围绕这一热点研究问题... 详细信息

人类智能是在与环境交互中进化的,因而如何实现智能体与环境的自主交互是推进智能演化的关键。环境自主交互是一项涉及计算机图形学、计算机视觉和机器人等多个学科领域的研究课题,引起广泛的关注和探究,学术界已围绕这一热点研究问题从不同视角和技术维度开展了一系列研究工作。本文着眼于室内场景拟人交互,全面梳理数字人与机器人在室内环境下学习完成特定交互任务过程中需要涉及的仿真交互平台、场景交互数据和交互生成算法3方面基本要素的研究进展。在仿真交互环境搭建方面,本文梳理了仿真环境涉及的仿真技术和研究进展,并对代表性的拟人交互仿真平台进行了介绍;在场景交互数据构建方面,本文从场景交互感知数据集、场景交互运动数据集以及交互数据规模的高效扩充3方面对国内外研究现状进行了详细介绍;在拟人交互感知与生成方面,本文介绍了以交互为导向的场景可供性分析的相关工作,并以交互生成为线索,分别梳理了数字人—场景交互生成、机器人—场景交互生成的相关工作。基于对国内外相关工作的梳理和讨论,最后从交互仿真、交互数据、交互感知和交互生成4个方面,总结了该领域目前仍面临的挑战,并对未来的发展趋势进行了展望。

关键词：环境交互交互仿真交互数据交互感知交互生成

Was Wuhan the early epicenter of the COVID-19 pandemic?——a critique

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National science Review 2023年第4期10卷 19-21页

作者： Yanan Cao lingling Chen Hua Chen Yupeng Cun Xiaofeng Dai Hongli Du Feng Gao Fengbiao Guo Yalong Guo Pei hao Shunmin He Shunping He XiongLei He Zheng Hu Boon-Peng Hoh Xin Jin Qian Jiang Qinghua Jiang Asifullah Khan Hong-Zhi Kong Jinchen li Shuai Cheng li Ying li Qiang lin Jianquan liu Qi liu Jian Lu Xuemei Lu Shujin Luo Qinghua Nie Zilong Qiu Tieliu Shi Xiaofeng Song Jianzhong Su Sheng-ce Tao Chaolong Wang Chuan-Chao Wang Guo-Dong Wang Jiguang Wang Qi Wu Shaoyuan Wu Shuhua Xu Yu Xue Wenjun Yang zhaohui Yang Kai Ye Yuan-Nong Ye li Yu Fangqing zhao Yiqiang zhao Weiwei Zhai Dandan Zhang liye Zhang Houfeng Zheng Qi Zhou Tianqi Zhu Ya-ping Zhang Ruijin Hospital Shanghai Jiao Tong University College of life science and technology Guangxi University Beijing Institute of Genomics Chinese Academy of Sciences Children's Hospital of Chongqing Medical university Wuxi school of Medicine Jiangnan University school of Biology and Biological engineering South China University of Technology Department of Physics School of ScienceTianjin University school of Pharmaceutical sciences Wuhan University Institute of Botany Chinese Academy of Sciences Institut Pasteur of shanghai Chinese Academy of Sciences Institute of Biophysics Chinese Academy of Sciences Institute of Hydrobiology Chinese Academy of Sciences school of life sciences Sun Yat-sen University Institute of Synthetic Biology Shenzhen Institute of Advanced TechnologyChinese Academy of Sciences Faculty of Medicine and Health sciences University College Sedaya International school of Medicine South China University of Technology Department of Medical Genetics Capital Institute of Pediatrics school of life science and technology Harbin Institute of Technology Department of Biochemistry Abdul Wali Khan University Xiangya Hospital Central South University Department of computer science City University of Hong Kong College of life science and technology Foshan University South china Sea Institute of Oceanology Chinese Academy of Sciences College of Ecology Lanzhou University school of life sciences and technology Tongji University school of life sciences Peking University Kunming Institute of Zoology Chinese Academy of Sciences College of Animal science South China Agricultural University Institute of Neuroscience Chinese Academy of Sciences school of life sciences East China Normal University Nanjing university of Aeronautics and Astronautics Wenzhou Institute University of Chinese Academy of Sciences Institute of Systems Biomedicine Shanghai Jiao Tong University Tongji Medical College Huazhong University of Science and Technology school of life sciences Xiamen University Division of life science and Department of

Recently, Worobey et al.(2022) published a report entitled ‘The Huanan Seafood Wholesale Market in Wuhan was the early epicenter of the COVID-19 pandemic’ that succinctly summarizes their study [1]. A pre-print version of this study had earlier elicited a series of highprofile media coverages [2,3]. All these reports deliver a social-political message that the Huanan market is the epicenter of COVID-19.

关键词： SARS-COV-2 ORIGIN

融合双注意力机制3D U-Net的肺肿瘤分割

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中国图象图形学报 2020年第10期25卷 2119-2127页

作者：郝晓宇熊俊峰薛旭东石军文可韩文廷李骁扬赵俊傅小龙中国科学技术大学计算机科学与技术学院合肥230026 中国科学技术大学附属第一医院肿瘤放疗科合肥230001 上海交通大学附属胸科医院放射肿瘤科上海200030 上海交通大学生物医学工程学院上海200240 腾讯医疗健康上海200000

目的精确的肺肿瘤分割对肺癌诊断、手术规划以及放疗具有重要意义。计算机断层扫描(computed tomography,CT)是肺癌诊疗中最重要的辅助手段,但阅片是一项依靠医生主观经验、劳动密集型的工作,容易造成诊断结果的不稳定,实现快速、稳定... 详细信息

目的精确的肺肿瘤分割对肺癌诊断、手术规划以及放疗具有重要意义。计算机断层扫描(computed tomography,CT)是肺癌诊疗中最重要的辅助手段,但阅片是一项依靠医生主观经验、劳动密集型的工作,容易造成诊断结果的不稳定,实现快速、稳定和准确的肺肿瘤自动分割方法是当前研究的热点。随着深度学习的发展,使用卷积神经网络进行肺肿瘤的自动分割成为了主流。本文针对3D U-Net准确度不足,容易出现假阳性的问题,设计并实现了3维卷积神经网络DAU-Net(dual attention U-Net)。方法首先对数据进行预处理,调整CT图像切片内的像素间距,设置窗宽、窗位,并通过裁剪去除CT图像中的冗余信息。DAU-Net以3D U-Net为基础结构,将每两个相邻的卷积层替换为残差结构,并在收缩路径和扩张路径中间加入并联在一起的位置注意力模块和通道注意力模块。预测时,采用连通域分析对网络输出的二值图像进行后处理,通过判断每个像素与周围26个像素的连通关系获取所有的连通域,并清除最大连通域外的其他区域,进一步提升分割精度。结果实验数据来自上海胸科医院,总共1010例肺癌患者,每例数据只包含一个病灶,专业的放射科医师提供了金标准,实验采用十折交叉验证。结果表明,本文提出的肺肿瘤分割算法与3D U-Net相比,Dice系数和哈斯多夫距离分别提升了2.5%和9.7%,假阳性率减少了13.6%。结论本文算法能够有效提升肺肿瘤的分割精度,有助于实现肺癌的快速、稳定和准确分割。

关键词： U-Net 计算机断层扫描(CT) 肺部肿瘤分割注意力机制

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盘点气候风险机遇,展望健康繁荣未来

科学通报 2024年第27期69卷 4005-4011页

作者：张诗卉张弛蔡闻佳白玉琪 Max Callaghan 常楠陈彬陈慧琪程亮亮戴瀚程代鑫范维澄房小怡高仝耿阳关大博胡艺馨华峻翊黄存瑞黄弘黄建斌黄小猛纪思翰蒋俏蕾姜晓朋 Gregor Kiesewetter 李湉湉梁璐林波荣林华亮刘欢刘起勇刘小波刘钊刘竹刘昱甫陆波鲁晨曦罗震宇马伟米志付任超 Marina Romanello 沈鉴翔苏婧孙语泽孙昕璐汤绪 Maria Walawender 王灿王情汪蕊 Laura Warnecke 魏汪宇文三妹谢杨熊辉徐冰颜钰杨秀姚芳虹俞乐袁嘉灿曾仪娉张镜张璐张锐张尚辰张少辉赵梦真郑大山周浩周景博周子乔罗勇宫鹏清华大学地球系统科学系北京100084 北京理工大学管理学院北京100081 Mercator Research Institute on Global Commons and Climate Change Mercator Research Institute on Global Commons and Climate ChangeBerlin 10829Germany 南京医科大学公共卫生学院南京211166 北京师范大学环境学院北京100875 中山大学公共卫生学院广州510080 北京大学环境科学与工程学院北京100871 清华大学公共安全研究所北京100084 清华大学工程物理系北京100084 中国气象科学研究院气象影响与风险研究中心北京100086 山东师范大学商学院济南250013 清华大学建筑学院北京100084 南方科技大学统计与数据科学系深圳518055 中国海洋大学国际事务与公共管理学院青岛266003 清华大学万科公共卫生学院北京100084 清华大学新闻与传播学院北京100084 世界卫生组织驻华代表处北京100600 Pollution Management Research Group EnergyClimateand Environment ProgramInternational Institute for Applied Systems Analysis(IIASA)Laxenburg 1-A-2361Austria 中国疾病预防控制中心环境与健康相关产品安全所环境健康风险评估室北京102206 Department of Landscape Architecture&Environmental Planning University of CaliforniaBerkeley CA 94607USA 清华大学环境学院北京100084 中国疾病预防控制中心传染病预防控制所传染病预防控制国家重点实验室北京102206 北京经济管理职业学院临空经济管理学院北京100102 中国气象局国家气候中心北京100081 Geography College of Life and Environmental SciencesUniversity of ExeterExeter EX12LUUK 山东大学齐鲁医学院公共卫生学院流行病学系济南250002 The Bartlett school of Sustainable Construction University College LondonLondon WC1H 0ALUK 香港大学建筑学院中国香港999077 Institute for Global Health University College LondonLondon WC1H 0ALUK 清华大学人文学院北京100084 复旦大学大气与海洋系/大气科学研究院上海200438 复旦大学极端天气/气候事件与人体健康风险互联和治理国际卓越中心上海200438 北京航空航天大学经济与管理学院北京100083 香港科技大学计算机科学与工程系广州511453 清华大学气候变化与可持续发展研究院北京100084 北京大学体育教研部北京100871 清华大学苏世民学院北京100084 清华大学城市治理与可持续发展研究院北京100084 百度研究院北京100091 香港大学地球科学系和地理系中国香港999077

气候变化带来的健康风险与日俱增,煤炭消费及相关碳排放量的反弹,再度敲响了中国气候变化警钟.2022年,中国面临了严峻的气候挑战.极端天气事件发生的频率和强度不断上升,许多地区气温纪录屡创新高,全国平均气温攀升至历史第二高位,同时... 详细信息

气候变化带来的健康风险与日俱增,煤炭消费及相关碳排放量的反弹,再度敲响了中国气候变化警钟.2022年,中国面临了严峻的气候挑战.极端天气事件发生的频率和强度不断上升,许多地区气温纪录屡创新高,全国平均气温攀升至历史第二高位,同时降水量自2012年以来创新低,南方地区遭遇夏秋连旱,而湖南和东北地区则出现了极端降雨和洪涝灾害.采取及时、充分的措施不仅能减轻气候变化对健康的影响,还将保护基础设施不被极端天气破坏.

关键词：煤炭消费极端天气事件基础设施气候变化极端降雨碳排放量气候风险盘点

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多模态3D卷积神经网络脑部胶质瘤分割方法

科学技术与工程 2018年第7期18卷 18-24页

作者：谷宇吕晓琪李菁任国印喻大华赵瑛吴凉张文莉郝小静黄显武上海大学计算机工程与科学学院上海200444 内蒙古科技大学信息工程学院内蒙古自治区模式识别与智能图像处理重点实验室包头014010

由于大多数脑部胶质瘤边界有水肿且内部结构复杂,分割胶质瘤及瘤内结构难度较大。提出一种新的基于多模态MRI 3D卷积神经网络(CNN)脑部胶质瘤及瘤内各结构的自动分割算法。首先,标准化由T1、T1c、T2、FLAIR 4个MRI模态组成的输入图像。... 详细信息

由于大多数脑部胶质瘤边界有水肿且内部结构复杂,分割胶质瘤及瘤内结构难度较大。提出一种新的基于多模态MRI 3D卷积神经网络(CNN)脑部胶质瘤及瘤内各结构的自动分割算法。首先,标准化由T1、T1c、T2、FLAIR 4个MRI模态组成的输入图像。其次,构建10个卷积层,2个全连接层的3D CNN。卷积层采用3×3×3的3D卷积核;全连接层采用PRe Lu激励函数,并结合dropout技术防止过拟合。构建的3D CNN分割胶质瘤和瘤内各结构精度高,与专家手动分割的结果接近。实验结果表明,构建的多模态3D CNN能够准确地分割MRI多模态图像脑部胶质瘤及瘤内各结构,具有重要的临床意义。

关键词：脑部胶质瘤瘤内结构多模态MRI 3D卷积神经网络图像分割

Feasibility and physics potential of detecting ^(8)B solar neutrinos at JUNO

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Chinese Physics C 2021年第2期45卷 93-110页

作者： Angel Abusleme Thomas Adam Shakeel Ahmad Sebastiano Aiello Muhammad Akram Nawab Ali Fengpeng An Guangpeng An Qi An Giuseppe Andronico Nikolay Anfimov Vito Antonelli Tatiana Antoshkina Burin Asavapibhop João Pedro Athayde Marcondes de André Didier Auguste Andrej Babic Wander Baldini Andrea Barresi Eric Baussan Marco Bellato Antonio Bergnoli Enrico Bernieri David Biare Thilo Birkenfeld Sylvie Blin David Blum Simon Blyth Anastasia Bolshakova Mathieu Bongrand Clément Bordereau Dominique Breton Augusto Brigatti Riccardo Brugnera Riccardo Bruno Antonio Budano Max Buesken Mario Buscemi Jose Busto Ilya Butorov Anatael Cabrera hao Cai Xiao Cai Yanke Cai Zhiyan Cai Antonio Cammi Agustin Campeny Chuanya Cao Guofu Cao Jun Cao Rossella Caruso Cédric Cerna Jinfan Chang Yun Chang Pingping Chen Po-An Chen Shaomin Chen Shenjian Chen Xurong Chen Yi-Wen Chen Yixue Chen Yu Chen Zhang Chen Jie Cheng Yaping Cheng Alexander Chepurnov Davide Chiesa Pietro Chimenti Artem Chukanov Anna Chuvashova Gérard Claverie Catia Clementi Barbara Clerbaux Selma Conforti Di Lorenzo Daniele Corti Salvatore Costa Flavio Dal Corso Christophe De La Taille Jiawei Deng Zhi Deng Ziyan Deng Wilfried Depnering Marco Diaz Xuefeng Ding Yayun Ding Bayu Dirgantara Sergey Dmitrievsky Tadeas Dohnal Georgy Donchenko Jianmeng Dong Damien Dornic Evgeny Doroshkevich Marcos Dracos Frédéric Druillole Shuxian Du Stefano Dusini Martin Dvorak Timo Enqvist Heike Enzmann Andrea Fabbri Lukas Fajt Donghua Fan Lei Fan Can Fang Jian Fang Marco Fargetta Anna Fatkina Dmitry Fedoseev Vladko Fekete li-Cheng Feng Qichun Feng Richard Ford Andrey Formozov Amélie Fournier haonan Gan Feng Gao Alberto Garfagnini Alexandre Göttel Christoph Genster Marco Giammarchi Agnese Giaz Nunzio Giudice Franco Giuliani Maxim Gonchar Guanghua Gong Hui Gong Oleg Gorchakov Yuri Gornushkin Marco Grassi Christian Grewing Maxim Gromov Vasily Gromov Minghao Gu Xiaofei Gu Yu Gu Mengyun Guan Nunzio Guardone Maria Gul Cong Guo Jingyuan Guo Wanlei Guo Xinheng Guo Yuhang Guo Paul Hackspacher Caren Hagner Ran Han Yan Yerevan Physics Institute YerevanArmenia Universitélibre de Bruxelles BrusselsBelgium Universidade Estadual de Londrina LondrinaBrazil Pontificia Universidade Catolica do Rio de Janeiro RioBrazil Pontificia Universidad Católica de Chile SantiagoChile Universidad Tecnica Federico Santa Maria ValparaisoChile Beijing Institute of Spacecraft Environment engineering BeijingChina Beijing Normal university BeijingChina china Institute of Atomic Energy BeijingChina Institute of High Energy Physics BeijingChina North china Electric Power university BeijingChina school of Physics Peking UniversityBeijingChina Tsinghua university BeijingChina university of Chinese Academy of sciences BeijingChina Jilin university ChangchunChina College of Electronic science and engineering National University of Defense TechnologyChangshaChina Chongqing university ChongqingChina Dongguan university of technology DongguanChina Jinan university GuangzhouChina Sun Yat-Sen university GuangzhouChina Harbin Institute of technology HarbinChina university of science and technology of china HefeiChina The Radiochemistry and Nuclear Chemistry Group in university of South china HengyangChina Wuyi university JiangmenChina Shandong university JinanChina Institute of Modern Physics Chinese Academy of SciencesLanzhouChina Nanjing university NanjingChina Guangxi university NanningChina East china university of science and technology ShanghaiChina school of Physics and Astronomy Shanghai Jiao Tong UniversityShanghaiChina Tsung-Dao Lee Institute Shanghai Jiao Tong UniversityShanghaiChina Institute of Hydrogeology and Environmental Geology Chinese Academy of Geological SciencesShijiazhuangChina Nankai university TianjinChina Wuhan university WuhanChina Xi’an Jiaotong university Xi’anChina Xiamen university XiamenChina school of Physics and Microelectronics Zhengzhou UniversityZhengzhouChina Institute of Physics National Chiao-Tung university Hsinchu National United university Miao-Li Department of Physics National T

The Jiangmen Underground Neutrino Observatory(JUNO)features a 20 kt multi-purpose underground liquid scintillator sphere as its main *** of JUNO's features make it an excellent location for^8B solar neutrino measurements,such as its low-energy threshold,high energy resolution compared with water Cherenkov detectors,and much larger target mass compared with previous liquid scintillator *** this paper,we present a comprehensive assessment of JUNO's potential for detecting^8B solar neutrinos via the neutrino-electron elastic scattering process.A reduced 2 MeV threshold for the recoil electron energy is found to be achievable,assuming that the intrinsic radioactive background^(238)U and^(232)Th in the liquid scintillator can be controlled to 10^(-17)g/*** ten years of data acquisition,approximately 60,000 signal and 30,000 background events are *** large sample will enable an examination of the distortion of the recoil electron spectrum that is dominated by the neutrino flavor transformation in the dense solar matter,which will shed new light on the inconsistency between the measured electron spectra and the predictions of the standard three-flavor neutrino oscillation *** m^(2)_(21)=4.8times10^(-5);(7.5times10^(-5))eV^(2),JUNO can provide evidence of neutrino oscillation in the Earth at approximately the 3sigma(2sigma)level by measuring the non-zero signal rate variation with respect to the solar zenith ***,JUNO can simultaneously measureDelta m^2_(21)using^8B solar neutrinos to a precision of 20% or better,depending on the central value,and to sub-percent precision using reactor antineutrinos.A comparison of these two measurements from the same detector will help understand the current mild inconsistency between the value of Delta m^2_(21)reported by solar neutrino experiments and the KamLAND experiment.

关键词： neutrino oscillation solar neutrino JUNO

Sub-percent precision measurement of neutrino oscillation parameters with JUNO

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Chinese Physics C 2022年第12期46卷 28-49页

作者： Angel Abusleme Thomas Adam Shakeel Ahmad Rizwan Ahmed Sebastiano Aiello Muhammad Akram Abid Aleem Fengpeng An Qi An Giuseppe Andronico Nikolay Anfimov Vito Antonelli Tatiana Antoshkina Burin Asavapibhop João Pedro Athayde Marcondes de André Didier Auguste Weidong Bai Nikita Balashov Wander Baldini Andrea Barresi Davide Basilico Eric Baussan Marco Bellato Antonio Bergnoli Thilo Birkenfeld Sylvie Blin David Blum Simon Blyth Anastasia Bolshakova Mathieu Bongrand Clément Bordereau Dominique Breton Augusto Brigatti Riccardo Brugnera Riccardo Bruno Antonio Budano Jose Busto Ilya Butorov Anatael Cabrera Barbara Caccianiga hao Cai Xiao Cai Yanke Cai Zhiyan Cai Riccardo Callegari Antonio Cammi Agustin Campeny Chuanya Cao Guofu Cao Jun Cao Rossella Caruso Cédric Cerna Chi Chan Jinfan Chang Yun Chang Guoming Chen Pingping Chen Po-An Chen Shaomin Chen Xurong Chen Yixue Chen Yu Chen Zhiyuan Chen Zikang Chen Jie Cheng Yaping Cheng Yu Chin Cheng Alexey Chetverikov Davide Chiesa Pietro Chimenti Artem Chukanov Gérard Claverie Catia Clementi Barbara Clerbaux Selma Conforti Di Lorenzo Daniele Corti Flavio Dal Corso Olivia Dalager Christophe De La Taille Zhi Deng Ziyan Deng Wilfried Depnering Marco Diaz Xuefeng Ding Yayun Ding Bayu Dirgantara Sergey Dmitrievsky Tadeas Dohnal Dmitry Dolzhikov Georgy Donchenko Jianmeng Dong Evgeny Doroshkevich Marcos Dracos Frédéric Druillole Ran Du Shuxian Du Stefano Dusini Martin Dvorak Timo Enqvist Heike Enzmann Andrea Fabbri Donghua Fan Lei Fan Jian Fang Wenxing Fang Marco Fargetta Dmitry Fedoseev Zhengyong Fei li-Cheng Feng Qichun Feng Richard Ford Amélie Fournier haonan Gan Feng Gao Alberto Garfagnini Arsenii Gavrikov Marco Giammarchi Nunzio Giudice Maxim Gonchar Guanghua Gong Hui Gong Yuri Gornushkin Alexandre Göttel Marco Grassi Vasily Gromov Minghao Gu Xiaofei Gu Yu Gu Mengyun Guan Yuduo Guan Nunzio Guardone Cong Guo Jingyuan Guo Wanlei Guo Xinheng Guo Yuhang Guo Paul Hackspacher Caren Hagner Ran Han Yang Han Miao He Wei He Tobias Heinz Patrick Hellmuth Yuekun Heng Rafael Herrera YuenKeung Ho Yerevan Physics Institute YerevanArmenia Universiélibre de Bruxelles BrusselsBelgium Universidade Estadual de Londrina LondrinaBrazil Pontificia Universidade Catolica do Rio de Janeiro Rio de JaneiroBrazil Pontificia Universidad Católica de Chile SantiagoChile Universidad Tecnica Federico Santa Maria ValparaisoChile Beijing Institute of Spacecraft Environment engineering BeijingChina Beijing Normal university BeijingChina china Institute of Atomic Energy BeijingChina Institute of High Energy Physics BeijingChina North china Electric Power university BeijingChina school of Physics Peking UniversityBeijingChina Tsinghua university BeijingChina university of Chinese Academy of sciences BeijingChina Jilin university ChangchunChina College of Electronic science and engineering National University of Defense TechnologyChangshaChina Chongqing university ChongqingChina Dongguan university of technology DongguanChina Jinan university GuangzhouChina Sun Yat-Sen university GuangzhouChina Harbin Institute of technology HarbinChina university of science and technology of china HefeiChina The Radiochemistry and Nuclear Chemistry Group in university of South china HengyangChina Wuyi university JiangmenChina Shandong university JinanChinaand Key Laboratory of Particle Physics and Particle Irradiation of Ministry of EducationShandong UniversityQingdaoChina Institute of Modern Physics Chinese Academy of SciencesLanzhouChina Nanjing university NanjingChina Guangxi university NanningChina East china university of science and technology ShanghaiChina school of Physics and Astronomy Shanghai Jiao Tong UniversityShanghaiChina Tsung-Dao Lee Institute Shanghai Jiao Tong UniversityShanghaiChina Institute of Hydrogeology and Environmental Geology Chinese Academy of Geological SciencesShijiazhuangChina Nankai university TianjinChina Wuhan university WuhanChina Xi'an Jiaotong university Xi'anChina Xiamen university XiamenChina school of Physics and Microelectronics Zhengzhou UniversityZhengzhou

JUNO is a multi-purpose neutrino observatory under construction in the south of *** publication presents new sensitivity estimates for the measurement of the △m_(31)^(2),△m_(21)^(2),sin^(2)θ_(12),and sin^(2)θ_(13) oscillation parameters using reactor antineutrinos,which is one of the primary physics goals of the *** sensitivities are obtained using the best knowledge available to date on the location and overburden of the experimental site,the nuclear reactors in the surrounding area and beyond,the detector response uncertainties,and the reactor antineutrino spectral shape constraints expected from the TAO satellite *** is found that the △m_(21)^(2) and sin^(2)θ_(12) oscillation parameters will be determined to 0.5%precision or better in six years of data *** the same period,the △m_(31)^(2) parameter will be determined to about 0.2%precision for each mass ordering *** new precision represents approximately an order of magnitude improvement over existing constraints for these three parameters.

关键词： neutrino oscillation reactor antineutrino precision measurement JUNO

JUNO sensitivity on proton decay p→νK^(+)searches

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Chinese Physics C 2023年第11期47卷 7-22页

作者： Angel Abusleme Thomas Adam Shakeel Ahmad Rizwan Ahmed Sebastiano Aiello Muhammad Akram 安丰鹏安琪 Giuseppe Andronico Nikolay Anfimov Vito Antonelli Tatiana Antoshkina Burin Asavapibhop João Pedro Athayde Marcondes de André Didier Auguste Nikita Balashov Wander Baldini Andrea Barresi Davide Basilico Eric Baussan Marco Bellato Antonio Bergnoli Thilo Birkenfeld Sylvie Blin David Blum Simon Blyth Anastasia Bolshakova Mathieu Bongrand Clément Bordereau Dominique Breton Augusto Brigatti Riccardo Brugnera Riccardo Bruno Antonio Budano Mario Buscemi Jose Busto Ilya Butorov Anatael Cabrera Barbara Caccianiga 蔡浩蔡啸蔡严克蔡志岩 Riccardo Callegari Antonio Cammi Agustin Campeny 曹传亚曹国富曹俊 Rossella Caruso Cédric Cerna 常劲帆 Yun Chang 陈平平 Po-An Chen 陈少敏陈旭荣 Yi-Wen Chen 陈义学陈羽陈长程捷程雅苹 Alexey Chetverikov Davide Chiesa Pietro Chimenti Artem Chukanov Gérard Claverie Catia Clementi Barbara Clerbaux Selma Conforti Di Lorenzo Daniele Corti Flavio Dal Corso Olivia Dalager Christophe De La Taille 邓智邓子艳 Wilfried Depnering Marco Diaz Xuefeng Ding 丁雅韵 Bayu Dirgantara Sergey Dmitrievsky Tadeas Dohnal Dmitry Dolzhikov Georgy Donchenko 董建蒙 Evgeny Doroshkevich Marcos Dracos Frédéric Druillole 杜然杜书先 Stefano Dusini Martin Dvorak Timo Enqvist Heike Enzmann Andrea Fabbri Ulrike Fahrendholz 范东华樊磊方建方文兴 Marco Fargetta Dmitry Fedoseev li-Cheng Feng 冯启春 Richard Ford Amélie Fournier 甘浩男 Feng Gao Alberto Garfagnini Arsenii Gavrikov Marco Giammarchi Agnese Giaz Nunzio Giudice Maxim Gonchar 龚光华宫辉 Yuri Gornushkin Alexandre Göttel Marco Grassi Christian Grewing Vasily Gromov 顾旻皓谷肖飞古宇关梦云 Nunzio Guardone Maria Gul 郭聪郭竞渊郭万磊郭新恒郭宇航 Paul Hackspacher Caren Hagner 韩然 Yang Han Muhammad Sohaib Hassan 何苗何伟 Tobias Heinz Patrick Hellmuth 衡月昆 Rafael Herrera 贺远强侯少静 Yee Hsiung Bei-Zhen Hu 胡航胡健润胡俊胡守扬胡涛胡宇翔胡焯钧黄春豪黄桂鸿黄翰雄黄文昊黄鑫黄性涛黄永波惠加琪霍雷霍文驹 Cédric Huss Safeer Hussain Ara Ioannisian Roberto Isocrate Beatrice Jelmini Kuo-Lun Jen Ignacio Jeria 季筱璐吉星曌贾慧慧贾俊基蹇司玉蒋荻蒋炜江晓山金如意荆小平 Cécile Jollet Jari Joutsenvaara Sirichok Jungthawan Leonidas Kalousis Philipp Ka Pontificia Universidad Católica de Chile SantiagoChile IPHC Universitéde StrasbourgCNRS/IN2P3F-67037 StrasbourgFrance Pakistan Institute of Nuclear science and technology IslamabadPakistan INFN Catania and Dipartimento di Fisica e Astronomia dell Universitàdi Catania CataniaItaly East china university of science and technology ShanghaiChina university of science and technology of china HefeiChina Joint Institute for Nuclear Research DubnaRussia INFN Sezione di Milano and Dipartimento di Fisica dell Universitàdi Milano MilanoItaly Department of Physics Faculty of ScienceChulalongkorn UniversityBangkokThailand IJCLab UniversitéParis-SaclayCNRS/IN2P391405 OrsayFrance Department of Physics and Earth science University of Ferrara and INFN Sezione di FerraraFerraraItaly INFN Milano Bicocca and university of Milano Bicocca MilanoItaly INFN Sezione di Padova PadovaItaly III.Physikalisches Institut B RWTH Aachen UniversityAachenGermany Eberhard Karls Universität Tübingen Physikalisches InstitutTübingenGermany Institute of High Energy Physics BeijingChina SUBATECH Universitéde NantesIMT AtlantiqueCNRS-IN2P3NantesFrance Univ.Bordeaux CNRSLP2IUMR 5797F-33170 GradignanFrance Department of Physics National Taiwan UniversityTaipei Dipartimento di Fisica e Astronomia dell’Universitàdi Padova and INFN Sezione di Padova PadovaItaly university of Roma Tre and INFN Sezione Roma Tre RomaItaly Aix Marseille Univ CNRS/IN2P3CPPMMarseilleFrance Wuhan university WuhanChina INFN Milano Bicocca and Politecnico of Milano MilanoItaly National United university Miao-Li Dongguan university of technology DongguanChina Tsinghua university BeijingChina Institute of Modern Physics Chinese Academy of SciencesLanzhouChina Institute of Physics National Yang Ming Chiao Tung UniversityHsinchu North china Electric Power university BeijingChina Sun Yat-Sen university GuangzhouChina Beijing Institute of Spacecraft Environment engineering BeijingChina Universidade Estadual de Londrina LondrinaBrazil INFN Sez

The Jiangmen Underground Neutrino Observatory(JUNO)is a large liquid scintillator detector designed to explore many topics in fundamental *** this study,the potential of searching for proton decay in the p→νK^(+)mode with JUNO is *** kaon and its decay particles feature a clear three-fold coincidence signature that results in a high efficiency for ***,the excellent energy resolution of JUNO permits suppression of the sizable background caused by other delayed *** on these advantages,the detection efficiency for the proton decay via p→νK^(+)is 36.9%±4.9%with a background level of 0.2±0.05(syst)±0.2(stat)events after 10 years of data *** estimated sensitivity based on 200 kton-years of exposure is 9.6×1033 years,which is competitive with the current best limits on the proton lifetime in this channel and complements the use of different detection technologies.

关键词： proton decay grand unified theories JUNO liquid scintillator detector