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A Localization Method of High Energy Transients for All-sky Gamma-ray Monitor

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Research in Astronomy and Astrophysics 2024年第10期24卷 25-35页

作者： Yi Zhao Wangchen Xue Shaolin Xiong Qi Luo Yuanhao Wang Jiacong Liu Heng Yu Xiaoyun Zhao Yue Huang Jinyuan Liao Jianchao Sun Xiaobo Li Qibin Yi Ce Cai Shuo Xiao Shenglun Xie Chao Zheng Yanqiu Zhang Chenwei Wang Wenjun Tan Zhiwei Guo Chaoyang Li Zhenghua An Gang Chen Yanqi Du Min Gao Ke Gong Dongya Guo Jiang He Jianjian He Bing Li Gang Li Xinqiao Li Jing Liang Xiaohua Liang Yaqing Liu Xiang Ma Rui Qiao Liming Song Xinying Song Xilei Sun Jin Wang Ping Wang Xiangyang Wen Hong Wu Yanbing Xu Sheng Yang Dali Zhang Fan Zhang Hongmei Zhang Peng Zhang Shu Zhang Zhen Zhang Shijie Zheng Keke Zhang Xingbo Han Haiyan Wu Hu Tai Hao Geng Gaopeng Lu Wei Xu Fanchao Lyu Hongbo Zhang Fangjun Lu Shuangnan Zhang Department of Astronomy Beijing Normal UniversityBeijing 100875China Key Laboratory of Particle Astrophysics Institute of High Energy PhysicsChinese Academy of SciencesBeijing 100049China University of chinese academy of sciences Beijing 100049China School of Physics and Optoelectronics Xiangtan UniversityXiangtan 411105China College of Physics Hebei Normal UniversityShijiazhuang 050024China Guizhou Provincial Key Laboratory of Radio Astronomy and Data Processing Guizhou Normal UniversityGuiyang 550001China School of Physics and Electronic Science Guizhou Normal UniversityGuiyang 550001China institute of Astrophysics Central China Normal UniversityWuhan 430079China College of physics sciences technology Hebei UniversityBaoding 071002China Physics and Space Science College China West Normal UniversityNanchong 637002China School of Computing and Artificial Intelligence Southwest Jiaotong UniversityChengdu 611756China College of Electronic and information Engineering Tongji UniversityShanghai 201804China Innovation academy for Microsatellites of chinese academy of sciences Shanghai 201304China National Space Science Center Chinese Academy of SciencesBeijing 100190China School of Earth and Space sciences University of Science and Technology of ChinaHefei 230026China Electronic information School Wuhan UniversityWuhan 430072China Key Laboratory of Transportation Meteorology of China Meteorological Administration Nanjing Joint Institute for Atmospheric SciencesNanjing 210000China Key Laboratory of Middle Atmosphere and Global Environment Observation Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing 100029China

Fast and reliable localization of high-energy transients is crucial for characterizing the burst properties and guiding the follow-up *** based on the relative counts of different detectors has been widely used for all-sky gamma-ray *** are two major methods for this count distribution localization:χ^(2)minimization method and the Bayesian *** we propose a modified Bayesian method that could take advantage of both the accuracy of the Bayesian method and the simplicity of the χ^(2)*** comprehensive simulations,we find that our Bayesian method with Poisson likelihood is generally more applicable for various bursts than the χ^(2)method,especially for weak *** further proposed a location-spectrum iteration approach based on the Bayesian inference,which could alleviate the problems caused by the spectral difference between the burst and location *** method is very suitable for scenarios with limited computation resources or timesensitive applications,such as in-flight localization software,and low-latency localization for rapidly follow-up observations.

关键词： methods:data analysis methods:analytical (stars:)gamma-ray burst:general

Mechanism of photon-induced performance changes in silicon heterojunction solar cells

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Science China Materials 2024年第9期67卷 2873-2879页

作者： Qi Deng Haoran Ye Shenglei Huang Zehua Sun Yanyun Yang Lei Li Zhu Ma Rong Su Wei Long Fangdan Jiang Heng Guo Guoqiang Xing Wenzhu Liu Jian Yu School of New Energy and Materials Southwest Petroleum UniversityChengdu610500China shanghai institute of microsystem and information technology Chinese Academy of Sciences(CAS)Shanghai201800China Tongwei Solar(Chengdu)Ltd. Chengdu600200China School of Physics and Electronical Science Chuxiong Normal UniversityChuxiong675000China School of Physical Science and technology ShanghaiTech UniversityShanghai201210China Tianfu Yongxing Laboratory Chengdu610213China

Short-wavelength ultraviolet(UV)photons adversely affect hydrogenated amorphous silicon thin films,as well as on silicon heterojunction(SHJ)solar cells and *** research examines the impact and mechanisms of photon-induced performance *** A exposure disrupts Si-H bonds,significantly reducing hydrogen content in both intrinsic and doped hydrogenated amorphous silicon(a-Si:H)*** disruption impairs the interface passivation effect,leading to the degradation of SHJ solar cells and modules,primarily indicated by a decrease in open-circuit voltage(V_(oc))and fill factor(FF).UV irradiation from the front side of SHJ solar cells reduces V_(oc)and FF by 1.38%and 2.28%,respectively,resulting in a 2.28%efficiency *** irradiated from the backside show decreases in V_(oc)and FF of approximately 1.96%and 2.73%,respectively,leading to an overall efficiency reduction of approximately 3.58%.However,subsequent light-soaking increases V_(oc)and FF by approximately 0.96%and 1.37%,respectively,for frontside-irradiated cells,achieving an overall efficiency improvement of approximately 2.51%.Thus,light-soaking effectively recovers performance losses caused by UV irradiation in SHJ solar *** research clarifies the mechanisms influencing the performance of a-Si:H thin films,SHJ solar cells,and modules under UV irradiation and light-soaking,offering significant contributions towards the development of highly efficient and reliable SHJ devices.

关键词： silicon solar cells heterojunction UV irradiation light soaking hydrogen content

Tunable magnetism and band structure in kagome materials RETi3Bi4 family with weak interlayer interactions

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Science Bulletin 2024年第17期69卷 2660-2664页

作者： Jingwen Guo Liqin Zhou Jianyang Ding Gexing Qu Zhengtai Liu Yu Du Heng Zhang Jiajun Li Yiying Zhang Fuwei Zhou Wuyi Qi Minghui Cui Yongxin Zhang Fengyi Guo Tianqi Wang Fucong Fei Yaobo Huang Tian Qian Dawei Shen You Song Hongming Weng Fengqi Song National Laboratory of Solid State Microstructures School of PhysicsSchool of Materials Science and Intelligent EngineeringCollaborative Innovation Center of Advanced MicrostructuresNanjing UniversityNanjing 210093China Beijing National Laboratory for Condensed Matter Physics Institute of PhysicsChinese Academy of SciencesBeijing 100190China University of chinese academy of sciences Beijing 100049China State Key Laboratory of Functional Materials for Informatics Shanghai Institute of Microsystem and Information Technology(SIMIT)Chinese Academy of SciencesShanghai 200050China shanghai Synchrotron Radiation Facility Shanghai Advanced Research InstituteChinese Academy of SciencesShanghai 201210China State Key Laboratory of Coordination Chemistry School of Chemistry and Chemical EngineeringNanjing UniversityNanjing 210023China Atom Manufacturing institute Nanjing 211806China National Synchrotron Radiation Laboratory University of Science and Technology of ChinaHefei 230029China Songshan Lake Materials Laboratory Dongguan 523808China

Kagome lattice,characterized by two-dimensional honeycomb network of corner-sharing triangles[1],presents flat bands,Dirac cones,and van Hove singularities(VHSs),which have been theoretically predicted and experimentally observed[2-4].When combined with spin-orbit coupling(SOC)and magnetism,novel properties have *** kagome materials vary,most of their strong interlayer interactions make the synthesized crystals not layered,and the properties deviating from the raw two-dimensional kagome *** crystals are difficult to fabricate into thin devices and to tune the physical properties of the materials using gate voltage.

关键词： network interlayer structure

Amplification effect of intra-seasonal variability of soil moisture on heat extremes over Eurasia

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Advances in Climate Change Research 2024年第1期15卷 1-8页

作者： Yi-Nuo WANG Zhi-Yan ZUO Liang QIAO Kai-Wen ZHANG Mei-Yu CHANG Dong XIAO Zou-Xing LIN Huan WANG Department of Atmospheric and Oceanic sciences Institute of Atmospheric SciencesFudan UniversityShanghai 200438China CMA-FDU Joint Laboratory of Marine Meteorology Shanghai 200438China Key Laboratory of Cites Mitigation and Adaptation to Climate Change in shanghai China Meteorological AdministrationShanghai 200030China Collaborative Innovation Centeron Forecast and Evaluation of Meteorological Disasters Nanjing University of Information Science and TechnologyNanjing 211800China shanghai Frontiers Science Center of Atmosphere-Ocean Interaction Shanghai 200123China College of Geography and Resources Science Sichuan Normal UniversityChengdu 610101China National Observations and Research Station for Wetland Ecosystems of the Yangtze Estuary Shanghai 202183China chinese academy of Meteorological sciences China Meteorological AdministrationBeijing 100081China

Drying soil has been conducive to a high frequency of extreme high-temperature events over many regions worldwide in recent ***,changes in the intraseasonal variability of soil moisture can also influence the likelihood of extremely high *** previous investigators have examined the association between extremely high temperatures and large-scale atmospheric circulation variability,the role of land-atmosphere coupling dominated by soil moisture variability in extremely high temperatures,particularly over the Eurasian continent,is not well *** this study,on the basis of the Land Surface,Snow,and Soil Moisture Model Intercomparison Project,we found that land-atmosphere feedback amplified the variability of soil moisture in most regions of Eurasia during summer from 1980 to *** amplification of soil moisture variability is closely correlated with more intensive intraseasonal variability of surface air temperature and more frequent occurrences of extreme high-temperature events,particularly in Europe,Siberia,Northeast Asia,and the Indochina *** correlation implies that increasing the intraseasonal variability of soil moisture results in a high likelihood of heat extremes during summer in most parts of Eurasia except Asian desert *** the intraseasonal timescale,the land-atmosphere coupling increases the variability of surface sensible heat flux and net long-wave radiation heating the atmosphere by intensifying the soil moisture variability,thus amplifying the variability of surface air temperature and enhancing the extreme high-temperature *** finding demonstrates the importance of changes in intraseasonal soil moisture variability for the increasing likelihood of heat extremes in summer.

关键词： Soil moisture Intraseasonal variability Land-atmosphere coupling Heat extremes

MAX-DOAS and in-situ measurements of aerosols and trace gases over Dongying,China:Insight into ozone formation sensitivity based on secondary HCHO

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Journal of Environmental sciences 2024年第1期135卷 656-668页

作者： Xiaojun Zheng Zeeshan Javed Cheng Liu Aimon Tanvir Osama Sandhu Haoran Liu Xiangguang Ji Chengzhi Xing Hua Lin Daolin Du institute of Environment and Ecology School of the Environment and Safety EngineeringJiangsu UniversityZhenjiang 212013China Department of Precision Machinery and Precision Instrumentation University of Science and Technology of ChinaHefei 230026China Key Laboratory of Environmental Optics&technology Anhui Institute of Optics and Fine MechanicsHefei Institutes of Physical ScienceChinese Academy of SciencesHefei 230031China Center for Excellence in Regional Atmospheric Environment Institute of Urban EnvironmentChinese Academy of SciencesXiamen 361021China Key Laboratory of Precision Scientific Instrumentation of Anhui Higher Education institutes University of Science and Technology of ChinaHefei 230026China shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention(LAP3) Department of Environmental Science and EngineeringFudan UniversityShanghai 200433China National Agromet Center Pakistan Meteorological DepartmentIslamabad 44000Pakistan institute of Physical Science and information technology Anhui UniversityHefei 230601China information Materials and Intelligent Sensing Laboratory of Anhui Province Anhui UniversityHefei 230601China School of Environmental Science and Optoelectronic technology University of Science and Technology of ChinaHefei 230026China

This study presents a comprehensive overview of the atmospheric pollutants including Sulfur dioxide(SO_(2)),Nitrogen dioxide(NO_(2)),Formaldehyde(HCHO),Particulate Matter PM;PM_(10):diameter≤10μm,and PM_(2.5):diameter≤2.5μm,and Ozone(O_(3)),over Dongying(Shandong Province)from March-April 2018 and September-October 2019 by employing ground-based Multiple Axis Differential Optical Absorption Spectroscopy(MAX-DOAS)observations along with the in-situ measurements attained by the national air quality monitoring *** concentrations of SO_(2)and NO_(2)were under the acceptable level,while both PM_(2.5),and PM_(10)were higher than the safe levels as prescribed by national and international air quality *** results depict that 21%of the total observation days were found to be complex polluted days(PM_(2.5)>35μg/m^(3) and O_(3)>160μg/m^(3)).The secondary HCHO was used for accurate analysis of O_(3)sensitivity.A difference of 11.40%and 10%during March-April 2018 and September-October 2019 respectively in O_(3)sensitivity was found between HCHO_(total)/NO_(2)and HCHO_(sec)/NO_(2).The results indicate that primary HCHO have significant contribution in HCHO.O_(3)formation predominantly remained to be in VOC-limited and transitional regime during March-April 2018 and September-October 2019 in *** results imply that concurrent control of both NO_(x) and VOCs would benefit in ozone ***,the criteria pollutants(PM,SO_(2),and NO_(2))depicted strong correlations with each other except for O_(3)for which weak correlation coefficient was obtained with all the *** study will prove to be baseline for designing of air pollution control strategies.

关键词： MAX-DOAS Trace gases Ozone sensitivity Secondary HCHO Complex Pollution

Toward a Learnable Climate Model in the Artificial Intelligence Era

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Advances in Atmospheric sciences 2024年第7期41卷 1281-1288页

作者： Gang HUANG Ya WANG Yoo-Geun HAM Bin MU Weichen TAO Chaoyang XIE State key Laboratory of Numerical Modeling for Atmospheric sciences and Geophysical Fluid Dynamics Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing 100029China Laboratory for Regional Oceanography and Numerical Modeling Qingdao National Laboratory for Marine Science and TechnologyQingdao 266237China University of chinese academy of sciences Beijing 100049China Department of Environmental Planning Graduate School of Environmental StudiesSeoul National UniversitySeoul 08826South Korea School of Software Engineering Tongji UniversityShanghai 200092China

Artificial intelligence(AI)models have significantly impacted various areas of the atmospheric sciences,reshaping our approach to climate-related *** this AI-driven transformation,the foundational role of physics in climate science has occasionally been *** perspective suggests that the future of climate modeling involves a synergistic partnership between AI and physics,rather than an“either/or”*** controversies around current physical inconsistencies in large AI models,we stress the critical need for detailed dynamic diagnostics and physical ***,we provide illustrative examples to guide future assessments and constraints for AI *** AI integration with numerical models,we argue that offline AI parameterization schemes may fall short of achieving global optimality,emphasizing the importance of constructing online ***,we highlight the significance of fostering a community culture and propose the OCR(Open,Comparable,Reproducible)*** a better community culture and a deep integration of physics and AI,we contend that developing a learnable climate model,balancing AI and physics,is an achievable goal.

关键词： artificial intelligence deep learning learnable climate model

A Multilayered Magnetoelectric Transmitter with Suppressed Nonlinearity for Portable VLF Communication

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Research 2024年第2期2023卷 553-563页

作者： Zhaoqiang Chu Zhineng Mao Kaixin Song Shizhan Jiang Shugang Min Wei Dan Chenyuan Yu Meiyu Wu Yinghui Ren Zhichao Lu Jie Jiao Tianxiang Nan Shuxiang Dong Qingdao Innovation and Development Base Harbin Engineering UniversityQingdao 266071China College of Underwater Acoustics Engineering Harbin Engineering UniversityHarbin 150001China Songshan Lake Materials Laboratory DongguanGuangdong 523808 China shanghai institute of Ceramics Chinese Academy of SciencesShanghai 201800China School of Integrated Circuits and Beijing National Research Center for information Science and technology(BNRist) Tsinghua UniversityBeijing 100084China College of Engineering Peking UniversityBeijing 100871China

Acoustically actuated magnetoelectric(ME)antenna based on the efficient oscillation of magnetic dipoles has recently been considered as a promising solution for portable very-low-frequency ***,the severe nonlinear dynamic behavior in the case of strong-field excitation results in insufficient radiation capability and poor communication performance for a conventional ME *** this work,we propose to suppress the nonlinearity of an ME antenna by neutralizing the spring-hardening effect in amorphous Metglas and the spring-softening effect in piezoelectric ceramics through an ME multilayered transmitter(ME-MLTx)*** a driving voltage of 50 V_(pp)at the resonance frequency of 21.2 kHz,a magnetic flux density as high as 108 fT at a distance of 100 m is produced from a single *** addition,ME-MLTx performs a decreased mechanical quality factor(Q_(m))less than 40.65,and,thus,a broadened bandwidth of 500 Hz is ***,a communication link transmitting binary American Standard Code for information Interchange-coded message is built,which allows for an error-free communication with a distance of 18 m and a data rate of 300 bit/s in the presence of heavy environment *** communication distance can be further estimated over 100 m when using a femtotesla-class-inductive magnetic field *** obtained results are believed to bring ME antennas one step closer to being applicable in very-low-frequency communications.

关键词： closer nonlinearity inductive

Optical secret sharing by multi-step liquid crystal planar doublet panning and coupling

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chinese Optics Letters 2024年第8期 26-33页

作者：莫之畅陈壹朱翔宇张洲豪李大伟邵建达赵元安王建国 Laboratory of Thin Film Optics Shanghai Institute of Optics and Fine Mechanics Chinese Academy of Sciences Center of Materials Science and Optoelectronics Engineering University of Chinese Academy of Sciences Key Laboratory of Materials for High Power Laser Chinese Academy of Sciences Henan Key Laboratory of Infrared Materials & Spectrum Measures and Applications School of Physics Henan Normal University Hangzhou institute for Advanced Study University of Chinese Academy of Sciences

The hologram, which is formed by phases coupled through cascade devices for secret information sharing, still carries a cracking risk. We propose a liquid crystal planar doublet as the information carrier, and new holograms generated by the new coupled phases when the relative displacements of the different liquid crystal layers change. The designed geometrical phases are generated by an optimized iterative restoration algorithm, and each holographic image formed by these phases is readable. This scheme achieves an increase in the capacity of the stored secret information and provides more misdirection, which is expected to have potential value in optical steganography and storage.

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Progress and future prospects of decadal prediction and data assimilation:A review

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Atmospheric and Oceanic Science Letters 2024年第1期17卷 53-62页

作者： Wen Zhou Jinxiao Li Zixiang Yan Zili Shen Bo Wu Bin Wang Ronghua Zhang Zhijin Li Key Laboratory of Polar Atmosphere-ocean-ice System for Weather and Climate of the MOE Department of Atmospheric and Oceanic Science&Institute of Atmospheric ScienceFudan UniversityShanghaiChina Key Laboratory for Polar Science of the MNR Polar Research Institute of ChinaShanghaiChina shanghai Investigation Design and Research Institute Co.Ltd.ShanghaiChina LASG Institute of Atmospheric PhysicsChinese Academy of SciencesBeijingChina School of Marine Science Nanjing University of Information Science&TechnologyNanjingChina

年代际预测,也称为“近期气候预测”,旨在预测未来1-10年内的气候变化,是气候预测和气候变化研究领域的一个新关注点.它位于季节至年际预测和长期气候变化预测之间,结合了初值问题和外部强迫问题的两个方面.年代际预测的核心技术在于用... 详细信息

年代际预测,也称为“近期气候预测”,旨在预测未来1-10年内的气候变化,是气候预测和气候变化研究领域的一个新关注点.它位于季节至年际预测和长期气候变化预测之间,结合了初值问题和外部强迫问题的两个方面.年代际预测的核心技术在于用于模式初始化的同化方法的准确性和效率,其目标是为模式提供准确的初始条件,其中包含观测到的气候系统内部变率,年代际预测的初始化通常涉及在耦合框架内同化海洋观测,其中观测到的信号通过耦合过程传递到其他分量,如大气和海冰.然而,最近的研究越来越关注在海洋-大气耦合模式中探索耦合数据同化(CDA),有人认为CDA有潜力显著提高年代际预测技巧.本文综合评述了该领域的三个方面的研究现状:初始化方法,年代际气候预测的可预测性和预测技巧,以及年代际预测的未来发展和挑战.

关键词：年代际预测四维数据同化海气相互作用