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| 1 | Study of BESIII trigger efficiencies with the 2018 J/ψ data显示文摘Using a dedicated data sample taken in 2018 on the J/ψpeak,we perform a detailed study of the trigger efficiencies of the BESIII detector.The efficiencies are determined from three representative physics processes,namely Bhabha scattering,dimuon production and generic hadronic events with charged particles.The combined efficiency of all active triggers approaches 100%in most cases,with uncertainties small enough not to affect most physics analyses. | M.Ablikim M.N.Achasov P.Adlarson S.Ahmed M.Albrecht R.Aliberti A.Amoroso M.R.An Q.An X.H.Bai Y.Bai O.Bakina R.Baldini Ferroli I.Balossino Y.Ban K.Begzsuren N.Berger M.Bertani D.Bettoni F.Bianchi J.Bloms A.Bortone I.Boyko R.A.Briere H.Cai X.Cai A.Calcaterra G.F.Cao N.Cao S.A.Cetin J.F.Chang W.L.Chang G.Chelkov D.Y.Chen G.Chen H.S.Chen M.L.Chen S.J.Chen X.R.Chen Y.B.Chen Z.J Chen W.S.Cheng G.Cibinetto F.Cossio X.F.Cui H.L.Dai X.C.Dai A.Dbeyssi R.E.de Boer D.Dedovich Z.Y.Deng A.Denig I.Denysenko M.Destefanis F.De Mori Y.Ding C.Dong J.Dong L.Y.Dong M.Y.Dong X.Dong S.X.Du Y.L.Fan J.Fang S.S.Fang Y.Fang R.Farinelli L.Fava F.Feldbauer G.Felici C.Q.Feng J.H.Feng M.Fritsch C.D.Fu Y.Gao Y.Gao Y.Gao Y.G.Gao I.Garzia P.T.Ge C.Geng E.M.Gersabeck A Gilman K.Goetzen L.Gong W.X.Gong W.Gradl M.Greco L.M.Gu M.H.Gu S.Gu Y.T.Gu C.Y Guan A.Q.Guo L.B.Guo R.P.Guo Y.P.Guo A.Guskov T.T.Han W.Y.Han X.Q.Hao F.A.Harris H Hüsken K.L.He F.H.Heinsius C.H.Heinz T.Held Y.K.Heng C.Herold M.Himmelreich T.Holtmann Y.R.Hou Z.L.Hou H.M.Hu J.F.Hu T.Hu Y.Hu G.S.Huang L.Q.Huang X.T.Huang Y.P.Huang Z.Huang T.Hussain W.Ikegami Andersson W.Imoehl M.Irshad S.Jaeger S.Janchiv Q.Ji Q.P.Ji X.B.Ji X.L.Ji H.B.Jiang X.S.Jiang J.B.Jiao Z.Jiao S.Jin Y.Jin T.Johansson N.Kalantar-Nayestanaki X.S.Kang R.Kappert M.Kavatsyuk B.C.Ke I.K.Keshk A.Khoukaz P.Kiese R.Kiuchi R.Kliemt L.Koch O.B.Kolcu B.Kopf M.Kuemmel M.Kuessner A.Kupsc M.G.Kurth W.Kühn J.J.Lane J.S.Lange P.Larin A.Lavania L.Lavezzi Z.H.Lei H.Leithoff M.Lellmann T.Lenz C.Li C.H.Li Cheng Li D.M.Li F.Li G.Li H.Li H.Li H.B.Li H.J.Li J.L.Li J.Q.Li J.S.Li Ke Li L.K.Li Lei Li P.R.Li S.Y.Li W.D.Li W.G.Li X.H.Li X.L.Li Z.Y.Li H.Liang H.Liang H.Liang Y.F.Liang Y.T.Liang L.Z.Liao J.Libby C.X.Lin B.J.Liu C.X.Liu D.Liu F.H.Liu Fang Liu Feng Liu H.B.Liu H.M.Liu Huanhuan Liu Huihui Liu J.B.Liu J.L.Liu J.Y.Liu K.Liu K.Y.Liu Ke Liu L.Liu M.H.Liu P.L.Liu Q.Liu Q.Liu S.B.Liu Shuai Liu T.Liu W.M.Liu X.Liu Y.Liu Y.B.Liu Z.A.Liu Z.Q.Liu X.C.Lou F.X.Lu H.J.Lu J.D.Lu J.G.Lu X.L.Lu Y.Lu Y.P.Lu C.L.Luo M.X.Luo b P.W.Luo T.Luo X.L.Luo S.Lusso X.R.Lyu F.C.Ma H.L.Ma L.L.Ma M.M.Ma Q.M.Ma R.Q.Ma R.T.Ma X.X.Ma X.Y.Ma F.E.Maas M.Maggiora S.Maldaner S.Malde Q.A.Malik A.Mangoni Y.J.Mao Z.P.Mao S.Marcello Z.X.Meng J.G.Messchendorp G.Mezzadri T.J.Min R.E.Mitchell X.H.Mo Y.J.Mo N.Yu.Muchnoi H.Muramatsu S.Nakhoul Y.Nefedov F.Nerling I.B.Nikolaev Z.Ning S.Nisar S.L.Olsen Q.Ouyang S.Pacetti X.Pan Y.Pan A.Pathak P.Patteri M.Pelizaeus H.P.Peng K.Peters J.Pettersson J.L.Ping R.G.Ping R.Poling V.Prasad H.Qi H.R.Qi K.H.Qi M.Qi T.Y.Qi T.Y.Qi S.Qian W.-B.Qian Z.Qian C.F.Qiao L.Q.Qin X.S.Qin Z.H.Qin J.F.Qiu S.Q.Qu K.H.Rashid K.Ravindran C.F.Redmer A.Rivetti V.Rodin M.Rolo G.Rong Ch.Rosner M.Rump H.S.Sang A.Sarantsev Y.Schelhaas C.Schnier K.Schoenning M.Scodeggio D.C.Shan W.Shan X.Y.Shan J.F.Shangguan M.Shao C.P.Shen P.X.Shen X.Y.Shen H.C.Shi R.S.Shi X.Shi X.D Shi W.M.Song Y.X.Song S.Sosio S.Spataro K.X.Su P.P.Su F.F.Sui G.X.Sun H.K.Sun J.F.Sun L.Sun S.S.Sun T.Sun W.Y.Sun X Sun Y.J.Sun Y.K.Sun Y.Z.Sun Z.T.Sun Y.H.Tan Y.X.Tan C.J.Tang G.Y.Tang J.Tang J.X.Teng V.Thoren I.Uman B.Wang C.W.Wang D.Y.Wang H.J.Wang H.P.Wang K.Wang L.L.Wang M.Wang M.Z.Wang Meng Wang W.Wang W.H.Wang W.P.Wang X.Wang X.F.Wang X.L.Wang Y.Wang Y.D.Wang Y.F.Wang Y.Q.Wang Y.Y.Wang Z.Wang Z.Y.Wang Ziyi Wang Zongyuan Wang D.H.Wei P.Weidenkaff F.Weidner S.P.Wen D.J.White U.Wiedner G.Wilkinson M.Wolke L.Wollenberg J.F.Wu L.H.Wu L.J.Wu X.Wu Z.Wu L.Xia H.Xiao S.Y.Xiao Z.J.Xiao X.H.Xie Y.G.Xie Y.H.Xie T.Y.Xing G.F.Xu Q.J.Xu W.Xu X.P.Xu F.Yan L.Yan W.B.Yan W.C.Yan Xu Yan H.J.Yang H.X.Yang L.Yang S.L.Yang Y.X.Yang Yifan Yang Zhi Yang M.Ye M.H.Ye J.H.Yin Z.Y.You B.X.Yu C.X.Yu G.Yu J.S.Yu T.Yu C.Z.Yuan L.Yuan X.Q.Yuan Y.Yuan Z.Y.Yuan C.X.Yue A.Yuncu A.A.Zafar Y.Zeng B.X.Zhang Guangyi Zhang H.Zhang H.H.Zhang H.Y.Zhang J.J.Zhang J.L.Zhang J.Q.Zhang J.W.Zhang J.Y.Zhang J.Z.Zhang Jianyu Zhang Jiawei Zhang L.Q.Zhang Lei Zhang S.Zhang S.F.Zhang Shulei Zhang X.D.Zhang X.Y.Zhang Y.Zhang Y.H.Zhang Y.T.Zhang Yan Zhang Yao Zhang Yi Zhang Z.H.Zhang Z.Y.Zhang G.Zhao J.Zhao J.Y.Zhao J.Z.Zhao Lei Zhao Ling Zhao M.G.Zhao Q.Zhao S.J.Zhao Y.B.Zhao Y.X.Zhao Z.G.Zhao A.Zhemchugov B.Zheng J.P.Zheng Y.Zheng Y.H.Zheng B.Zhong C.Zhong L.P.Zhou Q.Zhou X.Zhou X.K.Zhou X.R.Zhou A.N.Zhu J.Zhu K.Zhu K.J.Zhu S.H.Zhu T.J.Zhu W.J.Zhu W.J.Zhu Y.C.Zhu Z.A.Zhu B.S.Zou J.H.Zou | 2021 | Chinese Physics C2021，45，2： | 33 |
| 2 | Human mesenchymal stem cells overexpressing pigment epitheliumderived factor inhibit hepatocellular carcinoma in nude mice(摘要)显示文摘 | Gao, Y Yao, A Zhang, W Lu, S Yu, Y Deng, L Yin, A Xia, Y Sun, B Wang, X | 2010 | 南京医科大学学报(自然科学版)2010，30，8： | 25 |
| 3 | 中国≥50岁人群中带状疱疹的发病率和疾病负担情况:来自综合医疗保健网络的数据显示文摘带状疱疹(HZ)是以伴发疼痛的水疱性皮疹为特征,主要影响老年人和免疫功能低下的人群。中国HZ的流行病学数据提示,我国50岁以上未接种HZ疫苗人群的相关数据仍然不足。本研究旨在评估我国≥50岁人群中HZ的流行病学特征、疾病负担和相关危险因素。在鄞州区电子健康档案数据库中选取2015年1月1日至2017年12月31日期间,年龄≥50岁的HZ患者进行评估,使用ICD‑10编码确定HZ及其并发症。 | Sun X Wei Z Lin H 邵萌萌(编译) | 2021 | 中华医学杂志2021，101，43： | 24 |
| 4 | A Deep Learning Approach for Fault Diagnosis of Induction Motors in Manufacturing显示文摘Extracting features from original signals is a key procedure for traditional fault diagnosis of induction motors, as it directly influences the performance of fault recognition. However, high quality features need expert knowledge and human intervention. In this paper,a deep learning approach based on deep belief networks(DBN) is developed to learn features from frequency distribution of vibration signals with the purpose of characterizing working status of induction motors. It combines feature extraction procedure with classification task together to achieve automated and intelligent fault diagnosis. The DBN model is built by stacking multiple-units of restricted Boltzmann machine(RBM), and is trained using layer-bylayer pre-training algorithm. Compared with traditional diagnostic approaches where feature extraction is needed,the presented approach has the ability of learning hierarchical representations, which are suitable for fault classification, directly from frequency distribution of the measurement data. The structure of the DBN model is investigated as the scale and depth of the DBN architecture directly affect its classification performance. Experimental study conducted on a machine fault simulator verifies the effectiveness of the deep learning approach for fault diagnosis of induction motors. This research proposes an intelligent diagnosis method for induction motor which utilizes deep learning model to automatically learn features from sensor data and realize working status recognition. | Si-Yu Shao Wen-Jun Sun Ru-Qiang Yan Peng Wang Robert X Gao | 2017 | Chinese Journal of Mechanical Engineering2017，30，6： | 17 |
| 5 | 1997年全国艾滋病哨点监测报告显示文摘1997年,全国HIV监测哨点共调整为60个,分布在27个省(自治区、直辖市)。性病门诊哨点和长卡哨点中只检出极少数HIV感染者。1997年,在3个暗娼哨点中的检出率约为1%~2%,而1996年同期仅为不到0.5%;在12个吸毒哨点中有7个哨点(包括2个新增哨点)报告了HIV感染者,而在1996年同期8个哨点中有3个哨点报告了感染者。新疆自治区报告了83例(20.8%)感染者,而在前几年同期同一哨点只有32例(8.0%)。在大部分吸毒监测哨点中的静注比例正不断增加或保持一个较高水平。暗娼人群中有60%从不使用避孕套。该监测结果表明,局部地区吸毒者中HIV感染率在不断上升,HIV波及的地区在不断地增多,HIV感染已开始向性乱人群扩散;可引起HIV流行的危险因素在不断增加。 | Department of Disease Control,Ministry of Health,People′s Republic of China 1 Center for AIDS Surveillance,Chinese Academy of Preventive Medicine 2 Group of National HIV Sentinel Surveillance Program (Written by Qu Shuquan 2,Sun Xinhua 1,Zheng X | 1998 | 中国性病艾滋病防治1998，4，4： | 15 |
| 6 | The regulation of rotenone-induced inflammatory factor production by ATP-sensitive potassium channel expressed in BV-2 cells显示文摘 | Liu X Wu JY Zhou F Sun XL Yao HH Yang Y Ding JH Hu G | 2006 | 中国生物学文摘2006，20，10： | 11 |
| 7 | 代谢健康的肥胖和腹型肥胖与高血压风险增加相关显示文摘代谢健康型肥胖是指具有正常代谢特征的肥胖人群。研究者在中国农村地区队列研究(the rural Chinese cohort study)的成年人中,探究了代谢健康型肥胖与高血压风险的关系。这项前瞻性队列研究纳入中国成人9137名,在基线时(2007-2008年)无高血压、2型糖尿病或血脂异常,在2013-2014年进行随访。 | 周卫(译) 袁源(审校) Zhao Y Qin P Sun HH Liu Y Liu D Zhou Q Guo C Li Q Tian G Wu X Hu D Sun X Zhang M | 2020 | 中华高血压杂志2020，28，9： | 7 |
| 8 | The experimental study of genetic engineering human neural stem cells mediated by lentivirus to express multigene显示文摘 | Cai PQ Tang X Lin YQ Martin O Sun GY Xu L Yang YK Zhou TH | 2006 | 中国生物学文摘2006，20，5： | 6 |
| 9 | Mutation analysis of autosomal dominant polycystic kidney disease genes in Han Chinese显示文摘 | Zhang S Mei C Zhang D Dai B Tang B Sun T Zhao H Zhou Y Li L Wu Y Wang W Shen X Song J | 2005 | 第二军医大学学报2005，26，8： | 6 |
| 10 | 笋芽顶端分生组织在竹秆横切面形态形成中的作用与机制研究显示文摘竹秆的横切面主要由表皮、皮层、维管组织、基本组织及髓腔(早期为髓组织)组成。这些组织均由笋芽茎顶端分生组织分化发育而来,且其在生长发育过程中促使了竹秆横切面形态(本文特指:竹秆横切面外轮廓形状、围度及壁-腔结构)的形成。然而,人们对于这一生长发育过程的生物学机制知之甚少。本研究利用解剖学、数学模拟等方法,对 20 种具不同秆径竹种的笋芽顶端分生组织进行了分析。研究结果发现,笋芽顶端分生组织指状形态的维持是竹子产生圆柱形竹秆的基础;在顶端分生组织细胞数目增加的同时,线性增加原体细胞数目应是竹子在演化过程中产生大径竹秆且保持规则壁-腔结构的方式。进一步通过研究一个竹壁增厚且壁-腔架构紊乱的稳定变异体———实肚竹( Phyllostachys nidularia f. farcta)发现,其笋芽顶端分生组织细胞数目减少且原体/原套细胞数比值降低使其产生了高比例的壁组分组织(指基本分生组织与肋状分生组织)与低比例的髓组织。上述 2 种组织的比例失衡,使得实肚竹笋芽在后续发育中壁组分组织随机挤入到了髓组织中,最终形成了实肚竹异常的竹秆横切面形态(竹壁多样化增厚且壁-腔结构紊乱)。此外,相对较小的顶端分生组织,使得实肚竹笋芽产生了较少的内源激素,如其生长素含量仅约为其原种篌竹的 67. 5%,各细胞分裂素含量也显著低于篌竹笋芽。转录组分析进一步发现,在实肚竹笋芽中与激素及代谢相关的功能基因呈显著下调表达。这些生理与分子变化最终导致了实肚竹竹秆矮化、秆径减小且生物量降低。本论文的研究结果为研究竹秆横切面发育提供了一个重要的视角,同时也为实肚竹厚壁茎秆的形成提出了一个合理的机制。 | Wang Y Sun X Ding Y Fei Z Jiao C Fan M Yao B Xin P Chu J Wei Q 王雨珺 魏强 | 2019 | 世界竹藤通讯2019，17，3： | 5 |
| 11 | Diurnal variation of ozone flux over corn field in Northwestern Shandong Plain of China显示文摘High concentration ground-level ozone(O3)has adverse effects on plant growth and photosynthesis.Compared to the O3concentration-based index,the O3flux-based(especially stomatal O3uptake)index has been considered the better criterion for assessing the impact of ozone on vegetation and ecosystems.This paper reports on a study of O3flux using the eddy covariance technique over a corn field in the Northwestern Shandong Plain of China.Diurnal variation of atmospheric O3concentration,deposition velocity and flux,and their relationships to environmental factors are analyzed.The results show that:(1)During the observation period(9 August–28 September,2011),there was a strong diurnal variation of O3concentration,with low(16.5 nL L?1)and high(60.1 nL L?1)O3mean concentrations observed around 6:30 and 16:00,respectively.Mean O3concentrations during daytime(6:00–18:00)and nighttime(18:00–6:00)were 39.8±23.1 and 20.7±14.1 nL L?1(mean±std),respectively.The maximum observed concentration was 97.5 nL L?1.The concentration was mainly affected by solar radiation and air temperature.(2)Whether daytime or nighttime,ground-level O3flux is always downward.The diurnal course of mean deposition velocity was divided into 4 phases:a low and stable process during nighttime,fast increasing in early morning,relatively large and steady changes around noon,and quickly decreasing in later afternoon.Daytime and nighttime mean deposition velocities were 0.29 and 0.09 cm s?1,respectively.The maximum deposition velocity was 0.81 cm s?1.The magnitude of deposition velocity was influenced by the corn growth period,and its diurnal variation was significantly correlated with global radiation and relative humidity.(3)O3flux was affected by variations of both O3concentration and deposition velocity,with mean O3fluxes-317.7 and?70.2 ng m?2s?1during daytime and nighttime,respectively.There was strong correlation between O3flux and CO2flux or latent heat flux.By comparing the deposition velocities of daytime and nighttime,we infer that stomatal uptake was probably the main sink of ground-level O3. | ZHU ZhiLin SUN XiaoMin DONG YunShe ZHAO FengHua Franz X MEIXNER | 2014 | Science China Earth Sciences2014，57，3： | 5 |
| 12 | Oxygen and Nitrogen Effects on MC Carbide in K465 Nickel-Base Superalloy显示文摘Effects of oxygen and nitrogen on MC carbide in nickel-base superalloy K465 were investigated, because neither of the two gas elements was found to decide MC carbide morphology monotonically. The morphology of MC carbide under alloy solidified in conventional investment casting condition was observed to transform from script-type to block-type with the total oxygen and nitrogen content (gas content) in samples rising up from 1.2×10-6 mol/g to 2.6×10-6 mol/g. The area fraction and composition of the MC carbide also varied with increase of gas content. However, the morphology of MC carbide kept to be script-type even when gas content was up to 3.4×10-6 mol/g in samples solidified with a much higher cooling rate. These results indicate that effects of gas content on formation of MC carbide can be observed in specimens solidified with low cooling rate, but such changes in MC carbide cannot be found when the cooling rate is high. | Wang L N Zheng Q Sun X F Guan H R Hu Z Q | 2009 | 稀有金属材料与工程2009，38，A03： | 4 |
| 13 | Activation of mitochondrial ATP-sensitive potassium channels improves rotenone-related motor and neurochemical alterations in rats显示文摘 | Yang Y Liu X Long Y Wang F Ding JH Liu SY Sun YH Yao HH Wang H Wu J Hu G | 2006 | 中国生物学文摘2006，20，10： | 4 |
| 14 | First-Principles Study of Phase Stability and Mechanical Property of Co_3(Al,W) Precipitates with Different Ratio of Al to W in Co Base Alloys显示文摘The energetics, electronic structure and mechanical property of Co3(Al,W) precipitates with different ratio of Al to W in Co base alloys were investigated by the method of supercell and augmented plane waves plus local orbitals within generalized gradient approximation. The calculated results show that the L12 Co3(Al,W) precipitate is the most stable when the ratio of Al to W is equal to 1. When the content of W is higher than 18.5 at%, the L12 and hexagonal structures co-exist in Co3(Al,W) precipitates at 1173 K. It is also shown that the L12 ordered Co3(Al,W) precipitates have an obvious strengthening effect in the disordered fcc cobalt matrix. | Yao Q Su X M Yan Y Zhao L W Sun J | 2009 | 稀有金属材料与工程2009，38，A03： | 3 |
| 15 | 前蛋白转化酶枯草杆菌蛋白酶kexin-9在肾病综合征相关性高胆固醇血症中的作用显示文摘肾病综合征中,肾脏足细胞损害可导致严重的高胆固醇血症,迫切需要新的治疗方法。前蛋白转化酶枯草杆菌蛋白酶kexin-9(proprotein convertase subtilisin/kexin type 9,PCSK9)逐渐成为血浆总胆固醇水平和治疗目标的重要调节因子。 | 刘莉 叶鹏 Haas ME Levenson AE Sun X Liao WH Rutkowski JM de Ferranti SD Schumacher VA Scherer PE Salant DJ Biddinger SB | 2016 | 中华高血压杂志2016，24，7： | 3 |
| 16 | Internal Structure Visualization of Flow and Flame by Process Tomography and PLIF Data Fusion显示文摘To address the increasing demands on pollution control and energy saving, the study of low-emission and high-efficiency burners has been emphasized worldwide. Swirl-induced environmental burners(EV-burners), have notable features aligned with these requirements. In this study, an EV burner is investigated by both an ECT system and an OH-PLIF system. The aim is to detect the structure of a flame and obtain more information about the combustion process in an EV burner. 3D ECT sensitivity maps are generated for the measurement and OH-PLIF images are acquired in the same combustion zone as for the ECT measurements. The experimental images of a flame by ECT are in good agreement with the OH radical distribution pictures captured by OH-PLIF, which provide a mutual verification of the visualization method. | LIU J. LIU Shi SUN S. PAN X I.H.I Schlaberg | 2018 | Journal of Thermal Science2018，27，1： | 3 |
| 17 | Measurements of γ/γ' Lattice Misfit and γ' Volume Fraction for a Ru-containing Nickel-based Single Crystal Superalloy显示文摘A conventional X-ray diffractometer has been used to determine the γ/γ lattice misfit and γ volume fraction for a Ru-containing nickel-based single crystal superalloy at room temperature.The rocking curve was used to characterize the distribution of subgrains.The diffraction peaks obtained by ω-2θ scan were used to determine the γ/γ lattice misfit and γ volume fraction.A three peaks fitting model was proposed.The peak fitting results are in good agreement with the model.The X-ray diffraction results indicate that the nickel-based single crystal superalloy was not a perfect monocrystalline material,which is comprised of many subgrains;and each subgrain also consists of large numbers of mosaic structures.In addition,two anomalous reflection phenomena were found during the experiment and discussed with respect to their occurrence and impact on the measurement.The experimental results show that the γ/γ lattice misfit and γ volume fraction will be various at the different regions of its dendritic microstructure.The average γ/γ lattice misfit and γ volume fraction of the experimental alloy are approximately-0.2% and 70%,respectively.Furthermore,the γ volume fraction calculated by atom microprobe(AP) data is also basically consistent with the experimental results. | X.P. Tan J.L. Liu X P Song T. Jin X.F. Sun Z.Q. Hu | 2011 | Journal of Materials Science & Technology2011，27，10： | 3 |
| 18 | Identification of human chronic myelogenous leukemia progenitor cells with hemangioblastic characteristics显示文摘 | Fang B Zheng C Liao L Han Q Sun Z Jiang X Zhao RC | 2006 | 中国生物学文摘2006，20，5： | 3 |
| 19 | Framingham高血压风险预测模型在中国农村人口中的预测价值显示文摘研究者从美国Framingham心脏研究(Framinghamheartstudy,FHS)人群中建立了个人发生高血压的风险评估预测模型。但这种模型尚未在其他群体广泛应用。该研究分析FHS预测模型在中国农村人口中的预测价值。方法:选取中国辽宁省农村人口24434人,年龄≥35岁。 | Zheng L Sun Z Zhang X Li J Hu D Chen J Sun Y 罗冬梅 叶鹏 | 2014 | 中华高血压杂志2014，22，5： | 2 |
| 20 | Overview to the Hard X-ray Modulation Telescope (Insight-HXMT) Satellite显示文摘As China’s first X-ray astronomical satellite, the Hard X-ray Modulation Telescope (HXMT), which was dubbed as Insight-HXMT after the launch on June 15, 2017, is a wide-band(1-250 ke V) slat-collimator-based X-ray astronomy satellite with the capability of all-sky monitoring in 0.2-3 Me V. It was designed to perform pointing, scanning and gamma-ray burst(GRB)observations and, based on the Direct Demodulation Method (DDM), the image of the scanned sky region can be reconstructed.Here we give an overview of the mission and its progresses, including payload, core sciences, ground calibration/facility, ground segment, data archive, software, in-orbit performance, calibration, background model, observations and some preliminary results. | Shuang-Nan Zhang TiPei Li FangJun Lu LiMing Song YuPeng X u CongZhan Liu Yong Chen XueLei Cao QingCui Bu Zhi Chang Gang Chen Li Chen TianXiang Chen YiBao Chen YuPeng Chen Wei Cui WeiWei Cui JingKang Deng YongWei Dong Yuan Yuan Du MinXue Fu GuanHua Gao He Gao Min Gao MingYu Ge YuDong Gu Ju Guan Can Gungor ChengCheng Guo DaWei Han Wei Hu Yue Huang Jia Huo ShuMei Jia LuHua Jiang WeiChun Jiang Jing Jin YongJie Jin Bing Li ChengKui Li Gang Li MaoShun Li Wei Li Xian Li XiaoBo Li XuFang Li YanGuo Li ZiJian Li ZhengWei Li XiaoHua Liang JinYuan Liao GuoQing Liu HongWei Liu ShaoZhen Liu XiaoJing Liu Yuan Liu YiNong Liu Bo Lu XueFeng Lu Tao Luo Xiang Ma Bin Meng Yi Nang JianYin Nie Ge Ou JinLu Qu Na Sai RenCheng Shang GuoHong Shen Liang Sun Ying Tan Lian Tao YouLi Tuo Chen Wang ChunQin Wang GuoFeng Wang HuanYu Wang Juan Wang WenShuai Wang YuSa Wang XiangYang Wen BaiYang Wu BoBing Wu Mei Wu GuangCheng Xiao ShaoLin Xiong LinLi Yan JiaWei Yang Sheng Yang YanJi Yang QiBin Yi Bin Yuan AiMei Zhang ChunLei Zhang ChengMo Zhang Fan Zhang HongMei Zhang Juan Zhang Qiang Zhang ShenYi Zhangs Shu Zhang Tong Zhang WanChang Zhang Wei Zhang WenZhao Zhang Yi Zhang YiFei Zhang YongJie Zhang Yue Zhang Zhao Zhang Zhi Zhang ZiLiang Zhang HaiSheng Zhao XiaoFan Zhao ShiJie Zheng JianFeng Zhou YuXuan Zhu Yue Zhu RenLin Zhuang | 2020 | Science China(Physics,Mechanics & Astronomy)2020，63，4： | 2 |
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