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基于Meta-analysis的新疆主要作物地膜覆盖产量及水分利用效率分析

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生态学杂志 2022年第4期41卷 661-667页

作者：陈利军宝哲林涛严昌荣汤秋香新疆农业大学农学院乌鲁木齐830052 农业农村部农业生态与资源保护总站北京100125 新疆农业科学院经济作物研究所乌鲁木齐830091 中国农业科学院农业环境与可持续发展研究所北京100081

为综合量化评价新疆地膜覆盖对主要作物产量和水分利用效率的影响,应用Meta-analysis方法,定量分析地膜覆盖后作物产量和水分利用效率的变化,并探讨其影响因素。通过文献检索(1982—2019年),共获得347篇有关新疆主要作物地膜覆盖试验文... 详细信息

为综合量化评价新疆地膜覆盖对主要作物产量和水分利用效率的影响,应用Meta-analysis方法,定量分析地膜覆盖后作物产量和水分利用效率的变化,并探讨其影响因素。通过文献检索(1982—2019年),共获得347篇有关新疆主要作物地膜覆盖试验文献。经严格筛选,从52篇文献中获得208组数据,分布于新疆18个市、县,涵盖南疆和北疆2个主要区域。结果表明:地膜覆盖可显著提高作物产量(24.1%)和水分利用效率(26.0%),甜菜、向日葵、玉米、棉花、小麦和大豆分别增产38.1%、29.5%、29.4%、26.4%、17.6%和15.8%;玉米、棉花和小麦水分利用效率分别增加32.0%、27.3%和13.7%;在地域上,南疆增产幅度大于北疆地区;在相对较差的土壤基础肥力中表现出较好的增产效应和水分利用效率增加效应;年均降水量<200 mm与年均降水量≥200 mm区域相比,有较高的增产效应,年均气温≥10℃的区域较年均气温<10℃的区域增产幅度大,相对未覆盖地分别增产31.8%和27.6%;低海拔地区<500 m与高海拔地区≥500 m相比,增产效果更显著;水分利用效率在年均气温<10℃、年均降水量<200 mm和高海拔地区增加效应最明显。该研究可为新疆覆膜技术应用提供参考。

关键词：地膜产量水分利用效率 Meta分析

Measurement and analysis of K-shell lines of silicon ions in laser plasmas

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high Power Laser Science and Engineering 2018年第2期6卷 133-140页

作者： Bo Han Feilu Wang Jiayong Zhong Guiyun Liang Huigang Wei Dawei Yuan Baojun Zhu Fang Li chang Liu Yanfei Li Jiarui Zhao zhe Zhang chen Wang Jun Xiong Guo Jia Neng Hua Jianqiang Zhu Yutong Li Gang Zhao Jie Zhang Department of Astronomy Beijing Normal University Key Laboratory of Optical Astronomy National Astronomical Observatories Chinese Academy of Sciences IFSA Collaborative Innovation Center Shanghai Jiao Tong University National Laboratory for Condensed Matter physics Institute of Physics Chinese Academy of Sciences Research Center for Laser Fusion China Academy of Engineering Physics National Laboratory on high Power Laser and physics Chinese Academy of Sciences Key Laboratory for Laser Plasmas (MoE) and Department of physics and Astronomy Shanghai Jiao Tong University

We present laboratory measurement and theoretical analysis of silicon K-shell lines in plasmas produced by Shenguang II laser facility, and discuss the application of line ratios to diagnose the electron density and temperature of laser *** types of shots were carried out to interpret silicon plasma spectra under two conditions, and the spectra from 6.6 ?A to6.85 ?A were measured. The radiative-collisional code based on the flexible atomic code(RCF) is used to identify the lines, and it also well simulates the experimental spectra. Satellite lines, which are populated by dielectron capture and large radiative decay rate, influence the spectrum profile significantly. Because of the blending of lines, the traditional G value and R value are not applicable in diagnosing electron temperature and density of plasma. We take the contribution of satellite lines into the calculation of line ratios of He-α lines, and discuss their relations with the electron temperature and density.

关键词： high energy density physics laser plasmas interaction plasmas astrophysics

由超拍电子伏特加速器产生的超高能伽马射线气泡

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Science Bulletin 2024年第4期69卷 449-457页

作者： LHAASO Collaboration zhen Cao Chuandong Gao Cong Li Ruo-Yu Liu Ruizhi Yang 不详 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 ChengduChina institute of Frontier and Interdisciplinary Science Shandong UniversityQingdao 266237China School of Astronomy and Space Science Nanjing UniversityNanjing 210023China University of Science and Technology of china Hefei 230026China

We report the detection of aγ-ray bubble spanning at least 100deg2 in ultra-high energy(UHE)up to a few PeV in the direction of the star-forming region Cygnus X,implying the presence super PeVatron(s)accelerating protons to at least 10 PeV.A log-parabola form with the photon indexΓ(E)=(2.71±0.02)+(0.11±0.02)×log10(E/10 TeV)is found fitting the gamma-ray energy spectrum of the bubble *** sources,“hot spots”correlated with very massive molecular clouds,and a quasi-spherical amorphousγ-ray emitter with a sharp central brightening are observed in the *** the core of~0.5°,spatially associating with a region containing massive OB association(Cygnus OB2)and a microquasar(Cygnus X-3),as well as previously reported multi-TeV sources,an enhanced concentration of UHEγ-rays is observed with 2 photons at energies above 1 *** general feature of the bubble,the morphology,and the energy spectrum,are reasonably reproduced by the assumption of a particle accelerator in the core,continuously injecting protons into the ambient medium.

关键词： Cosmic rays γ-rays Interstellar medium Star cluster

塔里木盆地北部下寒武统肖尔布拉克组海进-海退转换背景下的微生物礁滩发育模式

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现代地质 2023年第5期37卷 1169-1181页

作者：陈格格高志前焦存礼胡宗全袁钰轩卫端翟昕箐畅哲中国地质大学(北京)能源学院北京100083 中国石油化工股份有限公司石油勘探开发研究院北京100089

基于塔里木盆地西北缘阿克苏地区的野外露头观察和北部地区重点探井的测井资料分析和薄片鉴定工作,建立塔里木盆地塔北地区的高精度层序地层格架,分析肖尔布拉克组碳酸盐岩台地的演化过程及微生物礁滩发育模式。研究认为肖尔布拉克组可... 详细信息

基于塔里木盆地西北缘阿克苏地区的野外露头观察和北部地区重点探井的测井资料分析和薄片鉴定工作,建立塔里木盆地塔北地区的高精度层序地层格架,分析肖尔布拉克组碳酸盐岩台地的演化过程及微生物礁滩发育模式。研究认为肖尔布拉克组可分为2个三级层序(SQ1和SQ2)和5个四级层序(sq1、sq2、sq3、sq4和sq5),其中sq1和sq2发育层状微生物席,为中-内缓坡沉积,对应缓坡型台地;sq3时期相对海平面先上升后下降,缓坡型台地转变为弱镶边台地,在古地貌高地微生物开始建礁,古地貌较低的斜坡区微生物岩基本不发育;sq4和sq5时期海平面持续下降,弱镶边台地发育,sq4发育藻粒滩和微生物礁沉积,sq5发育砂屑滩、砾屑滩和微生物礁沉积。高精度层序地层对比结果显示海平面的变化在垂向上控制着微生物礁滩的演化特征,古地貌在平面上控制着微生物礁滩的分布。

关键词：高精度层序划分层序地层格架微生物礁滩沉积相发育模式

Optimization of performance of the KM2A full array using the Crab Nebula

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chinese physics C 2024年第6期48卷 169-178页

作者：曹臻 F.Aharonian 安琪阿西克古白云翔包逸炜 D.Bastieri 毕效军毕玉江蔡金庭曹晴曹文羽曹喆常进常劲帆陈尚明陈恩生陈亮陈林陈龙陈明君陈玛丽陈起辉陈素弘陈天禄陈阳程宁程耀东崔明阳崔树旺崔晓红崔昱东戴本忠代洪亮戴子高单增罗布 D.della Volpe 董绪强段凯凯樊军辉范一中方军方堃冯存峰封莉冯少辉丰晓婷冯有亮 S.Gabici 高博高川东高林青高启高卫高伟康葛茂茂耿利斯 G.Giacinti 龚光华苟全补顾旻皓郭福来郭晓磊郭义庆郭莹莹韩毅昂何会海贺昊宁何佳银何新波何钰 M.Heller 贺远强侯博文侯超侯贤胡红波胡铨胡世聪黄代绘黄天奇黄文俊黄性涛黄晓渊黄勇黄志成季筱璐贾焕玉贾康江琨姜晓巍姜泽军金敏康明铭柯通 D.Kuleshov.K.Kurinov 李兵兵李澄李骢李丹李飞李海波李会财李华阳李军李剑李捷李凯李文龙李文莲李秀荣李昕李一卓李哲黎卓梁恩维梁云峰林苏杰刘冰刘成刘栋刘虎刘海东刘佳刘江来刘金艳刘茂元柳若愚刘四明刘伟刘怡刘以农鲁睿罗晴吕洪魁马伯强马玲玲马欣华毛基荣闵振 W.Mitthumsiri 穆慧君南云程 A.Neronov 区子维庞彬宇 P.Pattarakijwanich 裴致远齐孟尧祁业情乔冰强秦家军 D.Ruffolo A.Sáiz D.Semikoz 邵澄宇邵琅 O.Shchegolev 盛祥东舒富文宋慧超 Yu.V.Stenkin V.Stepanov 苏扬孙秦宁孙晓娜孙志斌谭柏轩唐庆文唐泽波田文武王超王昌贝王广威王洪光王惠惠王建成汪凯王利苹王玲玉王培汉王冉王为王祥高王祥玉王阳王玉东王岩谨王忠海王仲翔王振王铮韦大明魏俊杰魏永健文韬吴超勇吴含荣武莎吴雪峰吴雨生席邵强夏捷夏君集项光漫肖迪泫肖刚辛广广辛玉良邢祎熊峥徐东莲徐仁峰徐仁新徐伟立薛良闫大海颜景志颜田杨朝文杨帆杨冯帆杨何文杨佳盈杨莉莉杨明洁杨睿智杨深邦姚玉华姚志国叶一锰尹丽巧尹娜游晓浩游智勇于艳红袁强岳华曾厚敦曾婷轩曾玮查敏张彬彬张丰张海明张恒英张建立张丽霞张力张鹏飞张佩佩张瑞张少博张少如张寿山张潇张笑鹏张云峰张毅张勇赵兵赵静赵雷赵立志赵世平郑福周斌周浩周佳能周猛周平周荣周勋秀祝成光祝凤荣朱辉朱科军左雄 LHAASO Collaboration 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 Chengdu 610000China Dublin institute for Advanced Studies 31 Fitzwilliam Place2 DublinIreland Max-Planck-Institut for Nuclear physics P.O.Box 10398069029 HeidelbergGermany State Key Laboratory of Particle Detection and Electronics China University of Science and Technology of china Hefei 230026China School of Physical Science and Technology&School of Information Science and Technology Southwest Jiaotong UniversityChengdu 610031China School of Astronomy and Space Science Nanjing UniversityNanjing 210023China Center for Astrophysics Guangzhou UniversityGuangzhou 510006China Hebei Normal University Shijiazhuang 050024China Key Laboratory of Dark Matter and Space Astronomy&Key Laboratory of Radio Astronomy Purple Mountain ObservatoryChinese Academy of SciencesNanjing 210023China Tsung-Dao Lee institute&School of physics and Astronomy Shanghai Jiao Tong UniversityShanghai 200240China Key Laboratory for Research in Galaxies and Cosmology Shanghai Astronomical ObservatoryChinese Academy of SciencesShanghai 200030China Key Laboratory of Cosmic Rays(Tibet University) Ministry of EducationLhasa 850000TibetChina National Astronomical Observatories Chinese Academy of SciencesBeijing 100101China School of physics and Astronomy(Zhuhai)&School of physics(Guangzhou)&Sino-French institute of Nuclear Engineering and Technology(Zhuhai) Sun Yat-sen UniversityZhuhai 519000&Guangzhou 510275China School of physics and Astronomy Yunnan UniversityKunming 650091China Département de Physique Nucléaire et Corpusculaire Facultéde SciencesUniversitéde Genève24 Quai Ernest Ansermet1211 GenevaSwitzerland institute of Frontier and Interdisciplinary Science Shandong UniversityQingdao 266237China APC Universit'e Paris Cit'eCNRS/IN2P3CEA/IRFUObservat

The full array of the Large high Altitude Air Shower Observatory(LHAASO)has been in operation since July *** its kilometer-square array(KM2A),we optimized the selection criteria for very high and ultrahigh energyγ-rays using data collected from August 2021 to August 2022,resulting in an improvement in significance of the detection in the Crab Nebula of approximately 15%,compared with that of previous *** the implementation of these new selection criteria,the angular resolution was also significantly improved by approximately 10%at tens of *** aspects of the full KM2A array performance,such as the pointing error,were also calibrated using the Crab *** resulting energy spectrum of the Crab Nebula in the energy range of 10-1000 TeV are well fitted by a log-parabola model,which is consistent with the previous results from LHAASO and other experiments.

关键词： γ-ray Crab Nebula significance

Towards 6G wireless communication networks:vision, enabling technologies, and new paradigm shifts

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Science china(Information sciences) 2021年第1期64卷 5-78页

作者： Xiaohu YOU cheng-Xiang WANG Jie HUANG Xiqi GAO Zaichen ZHANG Mao WANG Yongming HUANG Chuan ZHANG Yanxiang JIANG Jiaheng WANG Min ZHU Bin SHENG Dongming WANG Zhiwen PAN Pengcheng ZHU Yang YANG Zening LIU Ping ZHANG Xiaofeng TAO Shaoqian LI Zhi chen Xinying MA Chih-Lin I Shuangfeng HAN Ke LI chengkang PAN Zhimin zheNG Lajos HANZO Xuemin (Sherman) SHEN Yingjie Jay GUO Zhiguo DING Harald HAAS Wen TONG Peiying ZHU Ganghua YANG Jun WANG Erik G.LARSSON Hien Quoc NGO Wei HONG Haiming WANG Debin HOU Jixin chen zhe chen Zhangcheng HAO Geoffrey Ye LI Rahim TAFAZOLLI Yue GAO H.Vincent POOR Gerhard P.FETTWEIS Ying-chang LIANG National Mobile Communications Research Laboratory School of Information Science and EngineeringSoutheast University Purple Mountain Laboratories Shanghai institute of Fog Computing Technology (SHIFT) ShanghaiTech University Research Center for Network Communication Peng Cheng Laboratory State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications National Engineering Laboratory for Mobile Network Technologies Beijing University of Posts and Telecommunications National Key Laboratory of Science and Technology on Communications University of Electronic Science and Technology of China (UESTC) china Mobile Research institute School of Electronics and Computer Science University of Southampton Department of Electrical and Computer Engineering University of Waterloo Global Big Data Technologies Centre (GBDTC) University of Technology Sydney School of Electrical and Electronic Engineering The University of Manchester LiFi Research and Development Centre Institute for Digital CommunicationsSchool of EngineeringThe University of Edinburgh Huawei Technologies Canada Co. Ltd. Huawei Technologies Department of Electrical Engineering (ISY) Link?ping University institute of Electronics Communications & Information Technology (ECIT)Queen's University Belfast State Key Laboratory of Millimeter Waves School of Information Science and EngineeringSoutheast University School of Electrical and Computer Engineering Georgia Institute of Technology 5G Innovation Centre University of Surrey Princeton University Vodafone Chair Mobile Communications Systems Technische Universit?t Dresden Center for Intelligent Networking and Communications (CINC) University of Electronic Science and Technology of China (UESTC)

The fifth generation(5G) wireless communication networks are being deployed worldwide from 2020 and more capabilities are in the process of being standardized, such as mass connectivity, ultra-reliability,and guaranteed low latency. However, 5G will not meet all requirements of the future in 2030 and beyond, and sixth generation(6G) wireless communication networks are expected to provide global coverage, enhanced spectral/energy/cost efficiency, better intelligence level and security, etc. To meet these requirements, 6G networks will rely on new enabling technologies, i.e., air interface and transmission technologies and novel network architecture, such as waveform design, multiple access, channel coding schemes, multi-antenna technologies, network slicing, cell-free architecture, and cloud/fog/edge computing. Our vision on 6G is that it will have four new paradigm shifts. First, to satisfy the requirement of global coverage, 6G will not be limited to terrestrial communication networks, which will need to be complemented with non-terrestrial networks such as satellite and unmanned aerial vehicle(UAV) communication networks, thus achieving a space-airground-sea integrated communication network. Second, all spectra will be fully explored to further increase data rates and connection density, including the sub-6GHz, millimeter wave(mmWave), terahertz(THz),and optical frequency bands. Third, facing the big datasets generated by the use of extremely heterogeneous networks, diverse communication scenarios, large numbers of antennas, wide bandwidths, and new service requirements, 6G networks will enable a new range of smart applications with the aid of artificial intelligence(AI) and big data technologies. Fourth, network security will have to be strengthened when developing 6G networks. This article provides a comprehensive survey of recent advances and future trends in these four aspects. Clearly, 6G with additional technical requirements beyond those of 5G will enable f

关键词： 6G vision network architecture air interface and transmission technologies space-air-ground-sea integrated network all spectra artificial intelligence network security.

Hard X-ray Imager (HXI) onboard the ASO-S mission

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Research in Astronomy and Astrophysics 2019年第11期19卷 49-62页

作者： zhe Zhang Deng-Yi chen Jian Wu Jin chang Yi-Ming Hu Yang Su Yan Zhang Jian-Ping Wang Yao-Ming Liang Tao Ma Jian-Hua Guo Ming-Sheng Cai Yong-Qiang Zhang Yong-Yi Huang Xiao-Yan Peng Zong-Bin Tang Xuan Zhao Hong-He Zhou Lian-Guo Wang Jing-Xing Song Miao Ma Guang-Zhou Xu Jian-Feng Yang Di Lu Ying-Hong He Jin-You Tao Xiao-Long Ma Bao-Gang Lv Yan-Ping Bai Cai-Xia Cao Yu Huang Wei-Qun Gan Key Laboratory of Dark Matter and Space Astronomy Purple Mountain ObservatoryChinese Academy of SciencesNanjing 210034China School of Astronomy and Space Science University of Science and Technology of ChinaHefei 230026China Innovation academy for Microsatellites Chinese Academy of SciencesShanghai 201203China National Space Science Center Chinese Academy of SciencesBeijing 100190China Xi’an institute of Optics and Precision Mechanics Chinese Academy of SciencesXi’an 710119China

Hard X-ray Imager(HXI)is one of the three scientific instruments onboard the Advanced Spacebased Solar Observatory(ASO-S)mission,which is proposed for the 25th solar maximum by the chinese solar *** is designed to investigate the non-thermal high-energy electrons accelerated in solar flares by providing images of solar flaring regions in the energy range from 30 keV to 200 *** imaging principle of HXI is based on spatially modulated Fourier synthesis and utilizes about 91 sets of bi-grid sub-collimators and corresponding LaBr3 detectors to obtain Fourier components with a spatial resolution of about 3 arcsec and a time resolution better than 0.5 *** engineering prototype has been developed and tested to verify the feasibility of *** this paper,we present background,instrument design and the development and test status of the prototype.

关键词： instrumentation:detectors space vehicles:instruments Sun:X-ray techniques:imaging spectroscopy

庆城页岩油后期补能注伴生气吞吐注采参数优化

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科学技术与工程 2023年第12期23卷 5033-5040页

作者：刘雨奇陈哲伟雷启鸿徐振华罗二辉雷征东熊维亮何右安中国石油勘探开发研究院北京100083 中国石油长庆油田分公司勘探开发研究院西安710018 中国地质大学能源学院北京100083

页岩油的开发缓解了中国石油能源供应紧张的局势,是未来重要的接替资源。长7页岩油开发方式以天然能量为主,随着开发的进行存在产量递减快、采收率低等问题;长期天然能量开发地层能量亏空较大,亟须补充地层能量实现二次有效开发。针对... 详细信息

页岩油的开发缓解了中国石油能源供应紧张的局势,是未来重要的接替资源。长7页岩油开发方式以天然能量为主,随着开发的进行存在产量递减快、采收率低等问题;长期天然能量开发地层能量亏空较大,亟须补充地层能量实现二次有效开发。针对以上问题,为探索有效补充能量、提高采收率方式,基于长庆某页岩油区块,开展室内实验对比不同种类气体与原油体系性质差异,并利用油藏数值模拟手段,建立矿场尺度数值模拟模型,优化伴生气吞吐补能技术政策。优化参数为注气量90×10^(4)m^(3)、注入速度3×10^(4)m^(3)/d、焖井时间20 d、吞吐轮次10轮。在整体统一优化的基础上,针对补能效果较差的井进行个性化注气量优化设计,单井注气量增大至150×10^(4)m^(3),保障所有吞吐井整体能量补充水平一致,进一步提升了注气吞吐增油效果,注气吞吐较衰竭开发累产油量可提高33%。研究探索了页岩油后期有效补能提采方式,研究成果为长庆页岩油实现注伴生气吞吐有效开发提供了理论依据。

关键词：页岩油伴生气吞吐数值模拟注采参数优化

Reconstruction of Cherenkov image bymultiple telescopes of LHAASO-WFCTA

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Radiation Detection Technology and Methods 2022年第4期6卷 544-557页

作者： F.Aharonian Q.An Axikegu L.X.Bai Y.X.Bai Y.W.Bao D.Bastieri X.J.Bi Y.J.Bi J.T.Cai zhe Cao zhen Cao J.chang J.F.chang E.S.chen Liang chen Liang chen Long chen M.J.chen M.L.chen Q.H.chen S.H.chen S.Z.chen T.L.chen Y.chen H.L.cheng N.cheng Y.D.cheng S.W.Cui X.H.Cui Y.D.Cui B.D’Ettorre Piazzoli B.Z.Dai H.L.Dai Z.G.Dai Danzengluobu Ddella Volpe K.K.Duan J.H.Fan Y.Z.Fan Z.X.Fan J.Fang K.Fang C.F.Feng L.Feng S.H.Feng X.T.Feng Y.L.Feng B.Gao C.D.Gao L.Q.Gao Q.Gao W.Gao W.K.Gao M.M.Ge L.S.Geng G.H.Gong Q.B.Gou M.H.Gu F.L.Guo J.G.Guo X.L.Guo Y.Q.Guo Y.Y.Guo Y.A.Han H.H.He H.N.He S.L.He X.B.He Y.He M.Heller Y.K.Hor C.Hou X.Hou H.B.Hu Q.Hu S.Hu S.C.Hu X.J.Hu D.H.Huang W.H.Huang X.T.Huang X.Y.Huang Y.Huang Z.C.Huang X.L.Ji H.Y.Jia K.Jia K.Jiang Z.J.Jiang M.Jin M.M.Kang T.Ke D.Kuleshov K.Levochkin B.B.Li cheng Li Cong Li F.Li H.B.Li H.C.Li H.Y.Li J.Li Jian Li Jie Li K.Li WLLi XRLi Xin Li Xin Li YZLi zhe Li Zhuo Li E.W.Liang Y.F.Liang S.J.Lin B.Liu C.Liu D.Liu H.Liu H.D.Liu J.Liu J.L.Liu J.S.Liu J.Y.Liu M.Y.Liu R.Y.Liu S.M.Liu W.Liu Y.Liu Y.N.Liu W.J.Long R.Lu Q.Luo H.K.Lv B.Q.Ma L.L.Ma X.H.Ma J.R.Mao A.Masood Z.Min W.Mitthumsiri Y.C.Nan Z.W.Ou B.Y.Pang P.Pattarakijwanich Z.Y.Pei M.Y.Qi Y.Q.Qi B.Q.Qiao J.J.Qin D.Ruffolo A.Sáiz C.Y.Shao L.Shao O.Shchegolev X.D.Sheng J.Y.Shi H.C.Song Yu.V.Stenkin V.Stepanov Y.Su Q.N.Sun X.N.Sun Z.B.Sun P.H.T.Tam Z.B.Tang W.W.Tian B.D.Wang C.Wang H.Wang H.G.Wang J.C.Wang J.S.Wang L.P.Wang L.Y.Wang R.Wang R.N.Wang W.Wang X.G.Wang X.Y.Wang Y.Wang Y.D.Wang Y.J.Wang Y.P.Wang Z.H.Wang Z.X.Wang zhen Wang zheng Wang D.M.Wei J.J.Wei Y.J.Wei T.Wen C.Y.Wu H.R.Wu S.Wu X.F.Wu Y.S.Wu S.Q.Xi J.Xia J.J.Xia G.M.Xiang D.X.Xiao G.Xiao G.G.Xin Y.L.Xin Y.Xing Z.Xiong D.L.Xu R.X.Xu L.Xue D.H.Yan J.Z.Yan C.W.Yang F.F.Yang H.W.Yang J.Y.Yang L.L.Yang M.J.Yang R.Z.Yang S.B.Yang Y.H.Yao Z.G.Yao Y.M.Ye L.Q.Yin N.Yin X.H.You Z.Y.You Y.H.Yu Q.Yuan H.Yue H.D.Zeng T.X.Zeng W.Zeng Z.K.Zeng M.Zha X.X.Zhai B.B.Zhang F.Zhang H.M.Zhang H.Y.Zhang J.L.Zhang L.X.Zhang Li Zhang Lu Zhang P.F.Zhang P.P.Zhang R.Zhang S.B.Zhang S.R.Zhang S. 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 Dublin institute for Advanced Studies 31 Fitzwilliam Place2DublinIreland Max-Planck-Institut for Nuclear physics P.O.Box 10398069029 HeidelbergGermany State Key Laboratory of Particle Detection and Electronics BeijingChina University of Science and Technology of china Hefei 230026AnhuiChina School of Physical Science and Technology&School of Information Science and Technology Southwest Jiaotong UniversityChengdu 610031SichuanChina College of physics Sichuan UniversityChengdu 610065SichuanChina School of Astronomy and Space Science Nanjing UniversityNanjing 210023JiangsuChina Center for Astrophysics Guangzhou UniversityGuangzhou 510006GuangdongChina Key Laboratory of Dark Matter and Space Astronomy&Key Laboratory of Radio Astronomy Purple Mountain ObservatoryChinese Academy of SciencesNanjing 210023JiangsuChina Key Laboratory for Research in Galaxies and Cosmology Shanghai Astronomical ObservatoryChinese Academy of SciencesShanghai 200030China Key Laboratory of Cosmic Rays(Tibet University) Ministry of EducationLhasa 850000TibetChina National Astronomical Observatories Chinese Academy of SciencesBeijing 100101China Hebei Normal University Shijiazhuang 050024HebeiChina School of physics and Astronomy(Zhuhai)&Sino-French institute of Nuclear Engineering and Technology(Zhuhai) Sun Yat-sen UniversityZhuhai 519000China School of physics(Guangzhou) Sun Yat-sen UniversityGuangzhou 510275GuangdongChina Dipartimento di Fisica dell’Universitàdi Napoli“Federico II” Complesso Universitario di Monte Sant’Angelovia Cinthia80126 NapoliItaly School of physics and Astronomy Yunnan UniversityKunming 650091YunnanChina Département de Physique Nucléaire et Corpusculaire Facultéde SciencesUniversitéde Genève

Introduction One of main scientiﬁc goals of the Large high Altitude Air Shower Observatory(LHAASO)is to accurately measure the energy spectra of different cosmic ray compositions around the‘knee’*** Wide Field-of-View(FoV)Cherenkov Telescope Array(WFCTA),which is one of the main detectors of LHAASO and has 18 telescopes,is built to achieve this *** telescopes are put together and point to connected directions for a larger *** Telescopes are deployed spatially as close as possible,but due to their own size,the distance between two adjacent telescopes is about 10 ***,the Cherenkov lateral distribution and the parallax between the two telescopes should be considered in the event building process for images crossing over the boundaries of FoVs of the *** event building method for Cherenkov images measured by multiple telescopes of WFCTA is *** performance of the shower measurements using the combined images is evaluated by comparing with showers that are fully contained by a virtual telescope in *** and conclusion It is proved that the developed event building process can help to increase the FoV of WFCTA by 30%while maintaining the same reconstruction quality,compared to the separate telescope reconstruction method.

关键词： method directions conclusion