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Application of deep learning methods combined with physical background in wide field of view imaging atmospheric Cherenkov telescopes

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Nuclear Science and Techniques 2024年第4期35卷 208-220页

作者： Ao-Yan Cheng Hao Cai Shi Chen Tian-Lu Chen Xiang Dong You-Liang Feng Qi Gao quan-bu gou Yi-Qing Guo Hong-Bo Hu Ming-Ming Kang Hai-Jin Li Chen Liu Mao-Yuan Liu Wei Liu Fang-Sheng Min Chu-Cheng Pan Bing-Qiang Qiao Xiang-Li Qian Hui-Ying Sun Yu-Chang Sun Ao-Bo Wang Xu Wang Zhen Wang Guang-Guang Xin Yu-Hua Yao Qiang Yuan Yi Zhang School of Physics and Technology Wuhan UniversityWuhan 430072China School of Physics and Astronomy Yunnan UniversityKunming 650091China Ministry of Education The Key Laboratory of Cosmic Rays(Tibet University)Lhasa 850000China Key Laboratory of Particle Astrophysics Institute of High Energy PhysicsChinese Academy of SciencesBeijing 100049China University of Chinese Academy of Sciences 19 A Yuquan RoadShijingshan DistrictBeijing 100049China College of Physics Sichuan UniversityChengdu 610064China School of Intelligent Engineering Shandong Management UniversityJinan 250357China Tsung‑Dao Lee Institute Shanghai Jiao Tong UniversityShanghai 200240China Suzhou Aerospace Information Research Institute Suzhou 215123China College of Physics Chongqing UniversityNo.55 Daxuecheng South RoadHigh‑tech DistrictChongqing 401331China Key Laboratory of Dark Matter and Space Astronomy Purple Mountain ObservatoryChinese Academy of SciencesNanjing 210008China

The High Altitude Detection of Astronomical Radiation(HADAR)experiment,which was constructed in Tibet,China,combines the wide-angle advantages of traditional EAS array detectors with the high-sensitivity advantages of focused Cherenkov *** objective is to observe transient sources such as gamma-ray bursts and the counterparts of gravitational *** study aims to utilize the latest AI technology to enhance the sensitivity of HADAR *** datasets and models with distinctive creativity were constructed by incorporating the relevant physical theories for various *** models can determine the type,energy,and direction of the incident particles after careful *** obtained a background identification accuracy of 98.6%,a relative energy reconstruction error of 10.0%,and an angular resolution of 0.22°in a test dataset at 10 *** findings demonstrate the significant potential for enhancing the precision and dependability of detector data analysis in astrophysical *** using deep learning techniques,the HADAR experiment’s observational sensitivity to the Crab Nebula has surpassed that of MAGIC and *** energies below 0.5 TeV and remains competitive with conventional narrow-field Cherenkov telescopes at higher *** addition,our experiment offers a new approach for dealing with strongly connected,scattered data.

关键词： VHE gamma-ray astronomy HADAR Deep learning Convolutional neural networks

Chapter 6 Multimessenger Physics

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Chinese Physics C 2022年第3期46卷 139-152页

作者： Zhuo Li Giuseppe Di Sciascio quan-bu gou Yi-Qing Guo Hao-Ning He Ruo-Yu Liu Kai Wang INFN-Roma Tor Vergata Via della Ricerca Scientifica 100133 RomeItaly Key Laboratory of Particle Astrophysics Institute of High Energy PhysicsChinese Academy of SciencesBeijing 100049China Key Laboratory of Dark Matter and Space Astronomy Purple Mountain ObservatoryChinese Academy of SciencesNanjing 210023China Department of Astronomy School of PhysicsPeking UniversityBeijing 100871China Kavli Institute for Astronomy and Astrophysics Peking UniversityBeijing 100871China School of Astronomy and Space Science Nanjing UniversityNanjing 210023China Key laboratory of Modern Astronomy and Astrophysics(Nanjing University) Ministry of EducationNanjing 210023China Department of Astronomy School of PhysicsHuazhong University of Science and TechnologyWuhan 430074China

Combining observations of multi-messengers help in boosting the sensitivity of astrophysical source searches,and probe various aspects of the source *** this chapter we discuss how LHAASO observations of very high energy(VHE)gamma rays in combination with telescopes for the other messengers can help in solving the origins of VHE neutrinos and galactic and extragalactic cosmic rays.

关键词： Cosmic ray gamma-ray neutrino LHAASO

Testing and analysis of the plastic scintillator units for LHAASO-ED

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Radiation Detection Technology and Methods 2021年第4期5卷 513-519页

作者： Ya-Ping Wang Chao Hou Xiang-Dong Sheng Shao-Hui Feng Hong-Kui Lv Jia Liu Jing Zhao Xiao-Peng Zhang quan-bu gou Key Laboratory of Particle Astrophyics&Experimental Physics Division&Computing Center Institute of High Energy PhysicsChinese Academy of SciencesBeijing 100049China University of Chinese Academy of Sciences Beijing 100049China TIANFU Cosmic Ray Research Center ChengduSichuanChina

Background A total of 5195 electromagnetic particle detectors(EDs)are used in the 1-square-kilometer extensive air shower array(KM2A),which is a subarray of the Large High Altitude Air Shower Observatory(LHAASO).Purpose As the detection sensitive medium of the EDs,more than 20,000 plastic scintillator units(BC-408),produced by Saint-Gobain,are used in *** is important to monitor the light output of the scintillator units among the *** To improve the efficiency,a sampling inspection scheme(misjudgment rate of less than 5%)was designed,and a batch test system was *** units of scintillator units can be measured at a *** test system selects the single muon events of cosmic rays to measure the light output values of the plastic scintillator *** The measurement has an uncertainty of less than 2%.By pretest calibration,the difference between different channels can be *** calibration was implemented approximately every 3 months,and the test system had been running stably for 28 *** measuring the ratio of the signals of selected far and near probe events,the changes in the quality of different batches of plastic scintillator units can be *** The test system realized accurate measurement of the light output,and all batches satisfied the requirements of the experiment.

关键词： LHAASO ED Plastic scintillator unit Light output

FAST宁静区生态系统服务时空分异特征及权衡/协同关系分析

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中国环境科学 2024年第9期44卷 5145-5159页

作者：权小丫苏维词勾容黄贤凤重庆师范大学地理与旅游学院重庆401331 贵州省山地研究所贵州贵阳550001

基于InVEST与光能利用率模型(CASA)对2000-2020年间500m口径球面射电望远镜(FAST)宁静区植被净初级生产力(NPP),水源涵养,土壤保持,生境质量四项生态系统服务进行计算,分析其在不同尺度上的时空变化特征,识别其生态系统服务热点区域,采... 详细信息

基于InVEST与光能利用率模型(CASA)对2000-2020年间500m口径球面射电望远镜(FAST)宁静区植被净初级生产力(NPP),水源涵养,土壤保持,生境质量四项生态系统服务进行计算,分析其在不同尺度上的时空变化特征,识别其生态系统服务热点区域,采用权衡-协同指数和随机森林模型揭示四项生态系统服务间的权衡/协同作用关系和强度及其与驱动因子的关系.结果表明:(1)2000-2020年,FAST宁静区四项生态系统服务整体上呈增加趋势,其中NPP增加730.544gC/m^(2),水源涵养量增加5.925mm,生境质量得分上升0.007,土壤保持量增加0.295t/km^(2).(2)圈层差异明显,其中核心区增加最快,服务功能最优;其次是边远区,生态有明显好转;最后是中间区,生态修复相对较慢.(3)土地利用类型中,林地和草地对研究区生态系统服务量的促进作用最大.(4)生态系统服务热点整体上由Ⅰ类和Ⅱ类热点区向非热点区,Ⅲ类热点区及Ⅳ类热点区转变.(5)区内的四项生态系统服务间关系整体以协同为主,且协同作用逐渐增强,在空间上水源涵养与土壤保持和NPP在部分地区呈权衡作用.(6)FAST宁静区四项生态系统服务间权衡/协同关系作用强度的主要驱动因子是降水,蒸散发,石漠化敏感性,坡度和人类活动强度.

关键词：生态系统服务圈层差异时空演变权衡协同 InVEST模型 500m口径球面射电望远镜宁静区

The Giant Radio Array for Neutrino Detection(GRAND):Science and design

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Science China(Physics,Mechanics & Astronomy) 2020年第1期63卷 1-43页

作者： Jaime Alvarez-Muniz Rafael Alves Batista Aswathi Balagopal V. Julien Bolmont Mauricio bustamante Washington Carvalho Jr. Didier Charrier Ismael Cognard Valentin Decoene Peter B.Denton Sijbrand De Jong Krijn D.De Vries Ralph Engel Ke Fang Chad Finley Stefano Gabici quan bu gou Jun Hua Gu Claire Guépin Hong Bo Hu Yan Huang Kumiko Kotera Sandra Le Coz Jean-Philippe Lenain Guo Liang Léü Olivier Martineau-Huynh Miguel Mostafá Fabrice Mottez Kohta Murase Valentin Niess Foteini Oikonomou Tanguy Pierog Xiang Li Qian Bo Qin Duan Ran Nicolas Renault-Tinacci Markus Roth Frank G.Schroder Fabian Schüssler Cyril Tasse Charles Timmerman Matías Tueros Xiang Ping Wu Philippe Zarka Andreas Zech B.Theodore Zhang Jian Li Zhang Yi Zhang Qian Zheng Anne Zilles Departamento de Fisica de Particulas&lnstituto Galego de Fisica de Altas Enerxias Universidad de Santiago de CompostelaSantiago de Compostela 15782Spain Instituto de Astronomia Geofisica e Ciencias AtmosfericasUniversidade de Sao PauloSao Paulo-SP 05508-090Brazil Department of Physics-Astrophysics University of OxfordDWBOxford 0X13RHUK Institute of Experimental Particle Physics(ETP) Karlsruhe Institute of Technology(KIT)Karlsru he D-76021Germany Laboratoire de Physique Nucleeaire et de Hautes Energies(LPNHE) Sorbonne UniversiteUniversite Paris DiderotSorbonne Paris CiteCNRS place Jussieu F-75252Paris Cedex 5France Niels Bohr International Academy and DARK Niels Bohr InstituteCopenhagen 2100Denmark Discovery Center Niels Bohr InstituteCopenhagen 2100Denmark Center for Cosmology and AstroParticle Physics(CCA.PP)&Department of Physics Ohio State UniversityColumbus OH 43210USA Universidade de Santiago de Compostela Santiago de Compostela 15782Spain 0SUBATECH Institut Mines-Telecom Atlantique-CNRS/IN2P3-Universite de NantesNantes 44300France Laboratoire de Physique et Chimie de KEnvironnement et de VEspace LPC2E CNRS-Universite d'Orleans Orleans F-45071France Station de Radioastronomie de Nancay Observatoire de ParisCNRS/INSU F-18330 NangayFrance Sorbonne Universite UMR 7095Institut d'Astrophysique de Paris98 bis bd AragoParis 75014France Institute for Mathematics Astrophysics and Particle Physics(IMAPP)Radboud UniversiteitNijmegen 6500Netherlands Nationaal Instituut voor Kemfysica en Hoge Energie Fysica(NIKHEF) Amsterdam NL-1009Netherlands IIHE/ELEM Vrije Universiteit BrusselPleinlaan 2Brussels 1050Belgium Institute for Nuclear Physics(IKP) Karlsruhe Institute of Technology(KIT)Karlsruhe D-76021Germany Einstein Fellow Stanford UniversityStanford CA 94305USA Department of Astronomy University of MarylandCollege Park MD 20742-2421USA Joint Space-Science Institute College Park MD 20742-2421USA Oskar Klein Centre Stockholm UniversityStockholm SE-10691Sweden Department of Phy

The Giant Radio Array for Neutrino Detection(GRAND)is a planned large-scale observatory of ultra-high-energy(UHE)cosmic particles,with energies exceeding 10~8 Ge *** goal is to solve the long-standing mystery of the origin of UHE cosmic *** do this,GRAND will detect an unprecedented number of UHE cosmic rays and search for the undiscovered UHE neutrinos and gamma rays associated to them with unmatched *** will use large arrays of antennas to detect the radio emission coming from extensive air showers initiated by UHE particles in the *** design is modular:20 separate,independent sub-arrays,each of 10000 radio antennas deployed over 10000 km^2.A staged construction plan will validate key detection techniques while achieving important science goals *** we present the science goals,detection strategy,preliminary design,performance goals,and construction plans for GRAND.

关键词： radio telescopes neutrinos in astronomical observations cosmic rays in astronomical observations radiowave radiation:sources galactic and extragalactic cosmic rays:galactic and extragalactic

ICU患者暴露性角膜病变发生率及危险因素的Meta分析

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中国护理管理 2024年第6期24卷 910-915页

作者：黄光梅权明桃苟雅婷吴林松钟燕强遵义医科大学附属医院重症医学科二病区贵州省遵义市563000 遵义医科大学附属医院护理部贵州省遵义市563000

目的:系统分析ICU患者暴露性角膜病变的发生率及危险因素,为临床医护人员进行早期干预提供参考依据。方法:计算机检索国内外数据库中关于ICU患者暴露性角膜病变发生率和(或)危险因素的文献,严格按照纳入与排除标准筛选文献,应用Stata 1... 详细信息

目的:系统分析ICU患者暴露性角膜病变的发生率及危险因素,为临床医护人员进行早期干预提供参考依据。方法:计算机检索国内外数据库中关于ICU患者暴露性角膜病变发生率和(或)危险因素的文献,严格按照纳入与排除标准筛选文献,应用Stata 17.0软件进行Meta分析。用Begg检验和漏斗图判定发表偏倚。结果:共纳入15篇文献,涉及2470例患者,ICU患者暴露性角膜病变合并发生率为30.0%,眼睑闭合不全、结膜水肿、凸眼、机械通气及格拉斯哥评分<9分是ICU患者暴露性角膜病变的危险因素(P<0.05)。结论:暴露性角膜病变在ICU患者中发生率较高,临床医护人员应根据相关危险因素进行早期有针对性的干预,降低其发生率。

关键词：重症监护病房暴露性角膜病变发生率危险因素 Meta分析

控释尿素和有机物料添加提高黄壤冬油菜产量及养分吸收利用

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中国土壤与肥料 2024年第1期 113-121页

作者：魏全全张萌芶久兰饶勇顾小凤柳玲玲肖华贵贵州省农业科学院土壤肥料研究所贵州贵阳550006 贵州省农业科学院油料研究所贵州贵阳550006

利用田间试验探讨控释尿素和不同有机物料添加对黄壤冬油菜产量、养分吸收及利用的影响,为贵州黄壤地力改善以及冬油菜丰产提质提供科学依据。于2018—2022年连续4年在贵州省贵阳市开展控释尿素和不同有机物料添加长期定位试验,以冬油... 详细信息

利用田间试验探讨控释尿素和不同有机物料添加对黄壤冬油菜产量、养分吸收及利用的影响,为贵州黄壤地力改善以及冬油菜丰产提质提供科学依据。于2018—2022年连续4年在贵州省贵阳市开展控释尿素和不同有机物料添加长期定位试验,以冬油菜为试验材料,分别设置不施氮肥(U0)、控释尿素(CRU180)、普通尿素(U180)以及在普通尿素施用下配施3种有机物料[秸秆(U180+S)、生物炭(U180+B)和商品有机肥(U180+O),均为3000 kg/hm^(2)],在冬油菜收获后,分别测定不同处理冬油菜产量、产量构成因子、生物量、养分吸收和利用。结果表明,与U0处理相比,CRU180和U180处理冬油菜产量分别提高732.5和588.8 kg/hm^(2),配施有机物料后,U180+S、U180+B和U180+O处理冬油菜产量较U180处理分别增加516.9、662.6和622.0 kg/hm^(2),其中以U180+B处理冬油菜产量最高,为2646.8 kg/hm^(2)。与U0处理相比,CRU180和U180处理冬油菜地上部生物量显著增加;与U180处理相比,配施有机物料显著提高冬油菜地上部生物量,4年均以U180+B处理最优,但与U180+S和U180+O处理差异不显著。冬油菜氮磷钾累积量均以U180+B处理最大,4年平均值分别为164.7、31.9和139.1 kg/hm^(2)。CRU180处理氮素农学效率(AEN)、偏生产力(PEPN)和吸收利用效率(REN)高于U180处理;配施有机物料后,U180+S、U180+B和U180+O处理冬油菜AEN、PEPN和REN较U180处理均呈现增加的趋势,其中以U180+B处理最高,分别为6.95 kg/kg、14.70 kg/kg和38.43%,高于其他处理。U180+S处理冬油菜经济效益为7109.9元/hm^(2),高于其他处理。综上所述,控释尿素和有机物料(秸秆、生物炭和商品有机肥)添加均能提高冬油菜产量和养分吸收及利用,且以配施生物炭冬油菜产量最高,但配施秸秆冬油菜经济效益最优,建议在贵州黄壤区冬油菜生长季,正常肥料施用量情况下,可施用控释尿素替代常规尿素,且适当增施外源有机物料以保证冬油菜的产量和养分吸收利用效率。

关键词：控释尿素有机物料黄壤冬油菜产量养分吸收利用

真皮脂肪组织瓣游离填充修复面部凹陷畸形影像学观察一例

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中国美容整形外科杂志 2024年第8期35卷 512-512,I0003,I0004页

作者：孙泉向梅苟自珍新疆和静县人民医院影像科新疆巴音郭楞自治州841300 新疆和静县人民医院皮肤外科新疆巴音郭楞自治州841300 新疆和静县人民医院五官科新疆巴音郭楞自治州841300

2023年8月,新疆巴音郭楞自治州和静县人民医院影像科与皮肤外科合作,在援疆专家指导下,完成1例真皮脂肪组织瓣填充左侧面部软组织凹陷患者,获得了满意的临床效果.分别于术前、术后第3天、术后1周、术后第2周、术后3个月及术后6个月采用... 详细信息

2023年8月,新疆巴音郭楞自治州和静县人民医院影像科与皮肤外科合作,在援疆专家指导下,完成1例真皮脂肪组织瓣填充左侧面部软组织凹陷患者,获得了满意的临床效果.分别于术前、术后第3天、术后1周、术后第2周、术后3个月及术后6个月采用头部MRI检查随访发现,填充组织逐渐建立血运的影像学信号.现报道如下.

关键词：真皮脂肪组织瓣面部凹陷畸形手术治疗影像学观察

氧含量和Fe(Ⅲ)对生物炭降解对硝基苯酚的影响机制

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环境化学 2024年第7期43卷 2444-2453页

作者：苟全李靖陈芳媛李杉赵泽颖段文焱昆明理工大学环境科学与工程学院云南省土壤固碳与污染控制重点实验室昆明650500

生物炭因其丰富的比表面积和独特的理化性质在污染物治理方面具有广泛的应用潜力,但其降解污染物过程受环境因素影响的机制尚不清楚.本文以松木木屑为原料制备松木生物炭(BC500),探讨了氧气和Fe(Ⅲ)离子对BC500降解有毒有机农药对硝基苯... 详细信息

生物炭因其丰富的比表面积和独特的理化性质在污染物治理方面具有广泛的应用潜力,但其降解污染物过程受环境因素影响的机制尚不清楚.本文以松木木屑为原料制备松木生物炭(BC500),探讨了氧气和Fe(Ⅲ)离子对BC500降解有毒有机农药对硝基苯酚(PNP)的影响.结果表明,在酸性有氧条件下,BC500对PNP的降解量是无氧条件的1.35倍,这表明除了自身直接降解作用外,生物炭还能通过氧气介导生成活性氧自由基间接降解PNP.此外,通过XPS、AAS和FTIR等表征显示,在有氧条件下,不同浓度的Fe(Ⅲ)离子(2.8—280 mg·L^(-1))对BC500降解PNP均起抑制作用.这是由于Fe(Ⅲ)离子在环境pH较低时具有较强的氧化能力,通过竞争BC500传递给氧气的电子导致超氧阴离子(·O_(2)^(-))生成途径被屏蔽.而在无氧条件下加入Fe(Ⅲ)则促进了PNP降解,从0.68 mg·g^(-1) BC增加到1.79 mg·g^(-1) BC,因为Fe(Ⅲ)能增强BC500对PNP的吸附,并进一步促进其直接降解作用.结果表明,BC500施用于酸性含铁废水中时,无氧环境更利于PNP的降解,而有氧环境下Fe(Ⅲ)会抑制PNP的降解.本研究为生物炭应用于酸性含铁废水环境中的有机污染物治理提供了理论依据.

关键词：对硝基苯酚氧化还原降解木屑生物炭酸性废水

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