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Dark Matter Search Results from the PandaX-4T Commissioning Run

Physical Review Letters 2021年第26期127卷 261802-261802页

作者： Yue Meng Zhou Wang Yi Tao Abdusalam Abdukerim Zihao Bo Wei Chen Xun Chen Yunhua Chen Chen Cheng Yunshan Cheng Xiangyi Cui Yingjie Fan Deqing Fang Changbo Fu Mengting Fu Lisheng Geng Karl Giboni Linhui Gu Xuyuan Guo Ke Han Changda He Jinrong He Di Huang Yanlin Huang Zhou Huang Ruquan Hou Xiangdong Ji Yonglin Ju Chenxiang Li Mingchuan Li Shu Li Shuaijie Li Qing Lin Jianglai Liu Xiaoying Lu Lingyin Luo Wenbo Ma Yugang Ma Yajun Mao Nasir Shaheed Xuyang Ning Ningchun Qi Zhicheng Qian Xiangxiang Ren Changsong Shang Guofang Shen Lin Si Wenliang Sun Andi Tan Anqing Wang Meng Wang Qiuhong Wang Shaobo Wang Siguang Wang Wei Wang Xiuli Wang Mengmeng Wu Weihao Wu Jingkai Xia Mengjiao Xiao Xiang Xiao Pengwei Xie Binbin Yan Xiyu Yan Jijun Yang Yong Yang Chunxu Yu Jumin Yuan Ying Yuan Dan Zhang Minzhen Zhang Peng Zhang Tao Zhang Li Zhao Qibin Zheng Jifang Zhou Ning Zhou Xiaopeng Zhou Yong Zhou School of Physics and Astronomy Shanghai Jiao Tong University MOE Key Laboratory for Particle Astrophysics and Cosmology Shanghai Key Laboratory for Particle Physics and Cosmology Shanghai 200240 China Shanghai Jiao Tong University Sichuan Research Institute Chengdu 610213 China Tsung-Dao Lee Institute Shanghai Jiao Tong University Shanghai 200240 China Yalong River Hydropower Development Company Limited 288 Shuanglin Road Chengdu 610051 China School of Physics Sun Yat-Sen University Guangzhou 510275 China Research Center for Particle Science and Technology Institute of Frontier and Interdisciplinary Science Shandong University Qingdao 266237 Shandong China Key Laboratory of Particle Physics and Particle Irradiation of Ministry of Education Shandong University Qingdao 266237 Shandong China School of Physics Nankai University Tianjin 300071 China Key Laboratory of Nuclear Physics and Ion-beam Application (MOE) Institute of Modern Physics Fudan University Shanghai 200433 China School of Physics Peking University Beijing 100871 China School of Physics Beihang University Beijing 100191 China International Research Center for Nuclei and Particles in the Cosmos and Beijing Key Laboratory of Advanced Nuclear Materials and Physics Beihang University Beijing 100191 China School of Medical Instrument and Food Engineering University of Shanghai for Science and Technology Shanghai 200093 China Department of Physics University of Maryland College Park Maryland 20742 USA School of Mechanical Engineering Shanghai Jiao Tong University Shanghai 200240 China State Key Laboratory of Particle Detection and Electronics University of Science and Technology of China Hefei 230026 China Department of Modern Physics University of Science and Technology of China Hefei 230026 China SJTU Paris Elite Institute of Technology Shanghai Jiao Tong University Shanghai 200240 China

We report the first dark matter search results using the commissioning data from PandaX-4T. Using a time projection chamber with 3.7 tonne of liquid xenon target and an exposure of 0.63 tonne·year, 1058 candidate events are identified within an approximate nuclear recoil energy window between 5 and 100 keV. No significant excess over background is observed. Our data set a stringent limit to the dark matter–nucleon spin-independent interactions, with a lowest excluded cross section (90% C.L.) of 3.8×10−47 cm2 at a dark matter mass of 40 GeV/c2.

关键词： Particle dark matter Dark matter detectors

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Constraints on the axial-vector and pseudo-scalar mediated WIMP-nucleus interactions from PandaX-4T experiment

arXiv

引用

arXiv 2022年

作者： Huang, Zhou Han, Chencheng Abdukerim, Abdusalam Bo, Zihao Chen, Wei Chen, Xun Chen, Yunhua Cheng, Chen Cheng, Zhaokan Cui, Xiangyi Fan, Yingjie Fang, Deqing Fu, Changbo Fu, Mengting Geng, Lisheng Giboni, Karl Gu, Linhui Guo, Xuyuan Han, Ke He, Changda He, Jinrong Huang, Di Huang, Yanlin Hou, Ruquan Ji, Xiangdong Ju, Yonglin Li, Chenxiang Li, Jiafu Li, Mingchuan Li, Shu Li, Shuaijie Lin, Qing Liu, Jianglai Lu, Xiaoying Luo, Lingyin Luo, Yunyang Ma, Wenbo Ma, Yugang Mao, Yajun Meng, Yue Ning, Xuyang Qi, Ningchun Qian, Zhicheng Ren, Xiangxiang Shaheed, Nasir Shang, Changsong Shang, Xiaofeng Shen, Guofang Si, Lin Sun, Wenliang Tan, Andi Tao, Yi Wang, Anqing Wang, Meng Wang, Qiuhong Wang, Shaobo Wang, Siguang Wang, Wei Wang, Xiuli Wang, Zhou Wei, Yuehuan Wu, Mengmeng Wu, Weihao Xia, Jingkai Xiao, Mengjiao Xiao, Xiang Xie, Pengwei Yan, Binbin Yan, Xiyu Yang, Jijun Yang, Yong Yu, Chunxu Yuan, Jumin Yuan, Zhe Zeng, Xinning Zhang, Dan Zhang, Minzhen Zhang, Peng Zhang, Shibo Zhang, Shu Zhang, Tao Zhang, Yingxin Zhang, Yuanyuan Zhao, Li Zheng, Qibin Zhou, Jifang Zhou, Ning Zhou, Xiaopeng Zhou, Yong Zhou, Yubo Shanghai Key Laboratory for Particle Physics and Cosmology Shanghai200240 China School of Physics Beihang University Beijing102206 China Beijing Key Laboratory of Advanced Nuclear Materials and Physics Beihang University Beijing102206 China School of Physics and Microelectronics Zhengzhou University Henan Zhengzhou450001 China State Key Laboratory of Particle Detection and Electronics University of Science and Technology of China Hefei230026 China Department of Modern Physics University of Science and Technology of China Hefei230026 China School of Physics Peking University Beijing100871 China Yalong River Hydropower Development Company Ltd. 288 Shuanglin Road Chengdu610051 China Research Center for Particle Science and Technology Institute of Frontier and Interdisciplinary Scienc Shandong University Shandong Qingdao266237 China Key Laboratory of Particle Physics and Particle Irradiation of Ministry of Education Shandong University Shandong Qingdao266237 China Department of Physics University of Maryland College ParkMD20742 United States Tsung-Dao Lee Institute Shanghai Jiao Tong University Shanghai200240 China School of Mechanical Engineering Shanghai Jiao Tong University Shanghai200240 China School of Physics Sun Yat-Sen University Guangzhou510275 China Sino-French Institute of Nuclear Engineering and Technology Sun Yat-Sen University Zhuhai519082 China School of Physics Nankai University Tianjin300071 China Institute of Modern Physics Fudan University Shanghai200433 China School of Medical Instrument and Food Engineering University of Shanghai for Science and Technology Shanghai200093 China Shanghai Jiao Tong University Sichuan Research Institute Chengdu610213 China

We present the constraints on the axial-vector and pseudo-scalar mediated WIMP-nucleus interactions from the PandaX-4T experiment, using the data set corresponding to a total exposure of 0.63 tonne·year. No significant signal excess is observed, and the most stringent constraints to date on the mediator mass are set for the axial-vector and pseudo-scalar simplified models. The maximum excluded mass of an axial-vector mediator is 825 GeV/c2 and that of a pseudo-scalar mediator is 106 GeV/c2. In addition, the upper limits on the spin-dependent WIMP-nucleon scattering cross-section for conventional neutron-only and proton-only interactions are derived. Copyright © 2022, The Authors. All rights reserved.

关键词： Vectors

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Neutron-induced nuclear recoil background in the PandaX-4T experiment

arXiv

引用

arXiv 2022年

作者： Huang, Zhou Shen, Guofang Wang, Qiuhong Abdukerim, Abdusalam Bo, Zihao Chen, Wei Chen, Xun Chen, Yunhua Cheng, Chen Cheng, Yunshan Cui, Xiangyi Fan, Yingjie Fang, Deqing Fu, Changbo Fu, Mengting Geng, Lisheng Giboni, Karl Gu, Linhui Guo, Xuyuan Han, Chencheng Han, Ke He, Changda He, Jinrong Huang, Di Huang, Yanlin Hou, Ruquan Ji, Xiangdong Ju, Yonglin Li, Chenxiang Li, Mingchuan Li, Shu Li, Shuaijie Lin, Qing Liu, Jianglai Lu, Xiaoying Luo, Lingyin Ma, Wenbo Ma, Yugang Mao, Yajun Meng, Yue Ning, Xuyang Qi, Ningchun Qian, Zhicheng Ren, Xiangxiang Shaheed, Nasir Shang, Changsong Si, Lin Sun, Wenliang Tan, Andi Tao, Yi Wang, Anqing Wang, Meng Wang, Shaobo Wang, Siguang Wang, Wei Wang, Xiuli Wang, Zhou Wu, Mengmeng Wu, Weihao Xia, Jingkai Xiao, Mengjiao Xiao, Xiang Xie, Pengwei Yan, Binbin Yan, Xiyu Yang, Jijun Yang, Yong Yu, Chunxu Yuan, Jumin Yuan, Ying Zhang, Dan Zhang, Minzhen Zhang, Peng Zhang, Tao Zhao, Li Zheng, Qibin Zhou, Jifang Zhou, Ning Zhou, Xiaopeng Zhou, Yong Shanghai Key Laboratory for Particle Physics and Cosmology Shanghai200240 China School of Physics Beihang University Beijing102206 China Institute of Modern Physics Fudan University Shanghai200433 China Shanghai Jiao Tong University Sichuan Research Institute Chengdu610213 China Yalong River Hydropower Development Company Ltd. 288 Shuanglin Road Chengdu610051 China School of Physics Sun Yat-Sen University Guangzhou510275 China Research Center for Particle Science and Technology Institute of Frontier and Interdisciplinary Scienc Shandong University Shandong Qingdao266237 China Key Laboratory of Particle Physics and Particle Irradiation of Ministry of Education Shandong University Shandong Qingdao266237 China Tsung-Dao Lee Institute Shanghai Jiao Tong University Shanghai200240 China School of Physics Nankai University Tianjin300071 China School of Physics Peking University Beijing100871 China Beijing Key Laboratory of Advanced Nuclear Materials and Physics Beihang University Beijing102206 China School of Physics and Microelectronics Zhengzhou University Henan Zhengzhou450001 China School of Medical Instrument and Food Engineering University of Shanghai for Science and Technology Shanghai200093 China Department of Physics University of Maryland College ParkMD20742 United States School of Mechanical Engineering Shanghai Jiao Tong University Shanghai200240 China State Key Laboratory of Particle Detection and Electronics University of Science and Technology of China Hefei230026 China Department of Modern Physics University of Science and Technology of China Hefei230026 China SJTU Paris Elite Institute of Technology Shanghai Jiao Tong University Shanghai200240 China

Neutron-induced nuclear recoil background is critical to the dark matter searches in the PandaX-4T liquid xenon experiment. This paper studies the feature of neutron background in liquid xenon and evaluates their contribution in the single scattering nuclear recoil events through three methods. The first method is fully Monte Carlo simulation based. The last two are data-driven methods that also use the multiple scattering signals and high energy signals in the data, respectively. In the PandaX-4T commissioning data with an exposure of 0.63 tonne-year, all these methods give a consistent result that there are 1.15±0.57 neutron-induced background in dark matter signal region within an approximated nuclear recoil energy window between 5 and 100 keV. Copyright © 2022, The Authors. All rights reserved.

关键词： Neutrons

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Shadow UAV wind tunnel testing using an additively manufactured model

Shadow UAV wind tunnel testing using an additively manufactu...

引用

AIAA Aerospace Sciences Meeting, 2018

作者： Hall, Zachary M. McDaniel, Melissa A. Owens, Anthony T. Waddle, Caleb E. Dobbins, Christopher L. Whitmore, Ryan N. Hayduke, Devlin W. Aerodynamics Technology Branch United States Army Aviation and Missile Research Development and Engineering Center Redstone Arsenal AL35898 United States Opto-Electronics Engineer Infrared and Optical Technology Branch United States Army Aviation and Missile Research Development and Engineering Center Redstone Arsenal AL35898 United States Material Sciences Corporation HorshamPA19044 United States

ISBN: (数字)9781624105241

ISBN: (纸本)9781624105241

The United States Army Aviation & Missile research, development, & Engineering center (AMRDEC) conducted sub-scale wind tunnel testing of the US Army’s Shadow unmanned aerial vehicle (UAV) using an additively manufactured wind tunnel model. Laminar to turbulent boundary layer transition data was obtained using infrared thermography and fluorescent oil surface flow visualization techniques for the purpose of comparison with computational fluid dynamics (CFD) transition modeling capabilities. © 2018, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.

关键词： Wind tunnels

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Analysis of crop water requirement in Indonesia’s rice fields during the 2015 El Nino using MODIS data products

引用

AIP Conference Proceedings 2023年第1期2654卷

作者： Muhammad Fatih Fakhirin Adam Fauzi Anjar Sakti Muhammad Nuha Nova Anika Raden Putra Diyanti Isnani Siregar Budhi Agung Prasetyo Atriyon Julzarika Ketut Wikantika 1Department of Geomatics Engineering Faculty of Regional and Infrastructure Technology Institut Teknologi Sumatera Lampung 35365 Indonesia 11Research and Innovation Center for Geospatial Information Science Institut Teknologi Sumatera Lampung 35365 Indonesia 2Center for Remote Sensing Institut Teknologi Bandung Bandung 40132 Indonesia 3Remote Sensing and Geographic Information Science Research Group Faculty of Earth Sciences and Technology Institut Teknologi Bandung Bandung 40132 Indonesia 4Center of Sustainable Development Goals Institut Teknologi Bandung Bandung 40132 Indonesia 5Departement of Biosystems Engineering Institut Teknologi Sumatera Lampung 35365 Indonesia 6Departement of Environmental Engineering Institut Teknologi Sumatera Lampung 35365 Indonesia 7Research and Innovation Center for Disaster Mitigation and Early Detection of Forest Fires Institut Teknologi Sumatera Lampung Selatan 35365 Indonesia 8Department of Forestry Engineering Institut Teknologi Sumatera Lampung 35365 Indonesia 9Department of Marine Environmental Science Institut Teknologi Sumatera Lampung 35365 Indonesia 10Indonesian National Institute of Aeronautics and Space (LAPAN) Indonesia

Climate change has impacted food security in the agricultural sector, resulting in droughts on agricultural land. One of the climate change phenomena is El Nino that occurred in 2015-2016, where this phenomenon has increased global warming by 49% and decreased rice productivity by 2.9%. This study aims to compare crop water requirements in Indonesia’s rice fields under normal conditions in 2013 and El Nino conditions in 2015. This study uses NDVI (MOD13A1.006) and Potential Evapotranspiration (MOD16A2.006) data products to estimate crop water requirements in rice fields. Crop water requirements are calculated by applying the kamble equation to determine the value of the monthly crop coefficient multiplied by the monthly potential evapotranspiration value. The results showed that in 2013 low conditions of 4773975 ha dominate the crop water requirement. While in 2015, the area of crop water requirement is dominated by medium conditions and high conditions of 355890 ha and 143975 ha. Thus, it can be concluded that the El Nino phenomenon resulted in an increase in the area of crop water requirement in Indonesian rice fields. The results of this study are expected to support reducing and mitigating the impact of the water crisis in Indonesia during the El Nino condition.

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A search for two-component Majorana dark matter in a simplified model using the full exposure data of PandaX-II experiment

arXiv

引用

arXiv 2022年

作者： Yuan, Ying Abdukerim, Abdusalam Bo, Zihao Chen, Wei Chen, Xun Chen, Yunhua Cheng, Chen Cui, Xiangyi Fan, Yingjie Fang, Deqing Fu, Changbo Fu, Mengting Geng, Lisheng Giboni, Karl Gu, Linhui Guo, Xuyuan Han, Ke He, Changda He, Jinrong Huang, Di Huang, Yanlin Huang, Zhou Hou, Ruquan Ji, Xiangdong Ju, Yonglin Li, Chenxiang Li, Mingchuan Li, Shu Li, Shuaijie Lin, Qing Liu, Jianglai Lu, Xiaoying Luo, Lingyin Ma, Wenbo Ma, Yugang Mao, Yajun Meng, Yue Shaheed, Nasir Ning, Xuyang Qi, Ningchun Qian, Zhicheng Ren, Xiangxiang Shang, Changsong Shen, Guofang Si, Lin Sun, Wenliang Tan, Andi Tao, Yi Wang, Anqing Wang, Meng Wang, Qiuhong Wang, Shaobo Wang, Siguang Wang, Wei Wang, Xiuli Wang, Zhou Wu, Mengmeng Wu, Weihao Xia, Jingkai Xiao, Mengjiao Xiao, Xiang Xie, Pengwei Yan, Binbin Yan, Xiyu Yang, Jijun Yang, Yong Yu, Chunxu Yuan, Jumin Zhang, Dan Zhang, Minzhen Zhang, Peng Zhang, Tao Zhao, Li Zheng, Qibin Zhou, Jifang Zhou, Ning Zhou, Xiaopeng Zhou, Yong School of Physics and Astronomy Shanghai Jiao Tong University MOE Key Laboratory for Particle Astrophysics and Cosmology Shanghai Key Laboratory for Particle Physics and Cosmology Shanghai200240 China Shanghai Jiao Tong University Sichuan Research Institute Chengdu610213 China Yalong River Hydropower Development Company Ltd. 288 Shuanglin Road Chengdu610051 China School of Physics Sun Yat-Sen University Guangzhou510275 China Tsung-Dao Lee Institute Shanghai Jiao Tong University Shanghai200240 China School of Physics Nankai University Tianjin300071 China Institute of Modern Physics Fudan University Shanghai200433 China School of Physics Peking University Beijing100871 China School of Physics Beihang University Beijing102206 China Beijing Key Laboratory of Advanced Nuclear Materials and Physics Beihang University Beijing102206 China School of Physics and Microelectronics Zhengzhou University Henan Zhengzhou450001 China School of Medical Instrument and Food Engineering University of Shanghai for Science and Technology Shanghai200093 China Department of Physics University of Maryland College ParkMD20742 United States School of Mechanical Engineering Shanghai Jiao Tong University Shanghai200240 China State Key Laboratory of Particle Detection and Electronics University of Science and Technology of China Hefei230026 China Department of Modern Physics University of Science and Technology of China Hefei230026 China Research Center for Particle Science and Technology Institute of Frontier and Interdisciplinary Science Shandong University Shandong Qingdao266237 China Key Laboratory of Particle Physics and Particle Irradiation of Ministry of Education Shandong University Shandong Qingdao266237 China SJTU Paris Elite Institute of Technology Shanghai Jiao Tong University Shanghai200240 China

In the two-component Majorana dark matter model, one dark matter particle can scatter off the target nuclei, and turn into a slightly heavier component. In the framework of a simplified model with a vector boson mediator, both the tree-level and loop-level processes contribute to the signal in direct detection experiment. In this paper, we report the search results for such dark matter from PandaX-II experiment, using total data of the full 100.7 tonne·day exposure. No significant excess is observed, so strong constraints on the combined parameter space of mediator mass and dark matter mass are derived. With the complementary search results from collider experiments, a large range of parameter space can be excluded. Copyright © 2022, The Authors. All rights reserved.

关键词： Galaxies

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Long-term water surface monitoring using multi-temporal Landsat satellite data at Singkarak lake

引用

AIP Conference Proceedings 2023年第1期2654卷

作者： Yustika Purnama Adam Irwansyah Fauzi Rian Nurtyawan Anjar Dimara Sakti Muhammad Ulin Nuha Nova Anika Raden Putra Diyanti Isnani Siregar Budhi Agung Prasetyo Atriyon Julzarika Ketut Wikantika 1Department of Geomatics Engineering Faculty of Regional and Infrastructure Technology Institut TeknologiSumatera Lampung 35365 Indonesia 13Research and Innovation Center for Geospatial Information Science Institut Teknologi Sumatera Lampung Selatan 35365 Indonesia 2Department of Geodesy Engineering National Institute of Technology 23 PH.H. Mustofa Street Bandung 40124 Indonesia 4Center for Remote Sensing Institut Teknologi Bandung Bandung 40132 Indonesia 5Remote Sensing and Geographic Information Science Research Group Faculty of Earth Sciences and Technology Institut Teknologi Bandung Bandung 40132 Indonesia 6Center of Sustainable Development Goals Institut Teknologi Bandung Bandung 40132 Indonesia 7Department of Biosystems Engineering Institut Teknologi Sumatera Lampung Selatan 35365 Indonesia 8Department of Environmental Engineering Institut Teknologi Sumatera Lampung Selatan 35365 Indonesia 9Research and Innovation Center for Disaster Mitigation and Early Detection of Forest Fires Institut Teknologi Sumatera Lampung Selatan 35365 Indonesia 10Department of Forestry Engineering Institut Teknologi Sumatera Lampung Selatan 35365 Indonesia 11Department of Marine Environmental Science Institut Teknologi Sumatera Lampung Selatan 35365 Indonesia 12Indonesian National Institute of Aeronautics and Space (LAPAN) Indonesia

Singkarak Lake has a central role for the surrounding community. To achieve SDGs Goal 6, Singkarak Lake is decided as one of the fifteen lakes to be managed sustainably based on the Indonesian Lake National Conference 2011. Therefore, this research aims to monitor the surface water area of Singkarak Lake using Landsat 5, 7 and 8 surface reflectance data from 2001 to 2019. The surface water body was extracted using a water detection rule algorithm involving three remote sensing indices, i.e., NDVI, mNDWI and EVI. Furthermore, the result was compared with Joint research center Yearly Water Classification History data. The result of two decades monitoring shows that the surface water of Singkarak Lake fluctuated with an average of 10,683 ha. The lowest surface water area was in 2012 with 10,579 ha, while the largest surface water area was in 2019 with 10,754 ha. The comparative analysis obtained an average deviation of 122 ha or 1.13%. From the quantitative aspect, this study has proven that the area of Singkarak Lake is relatively constant. Further study can be improved by involving the water level and qualitative aspects such as chlorophyll-a content.

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Drought analysis in Indonesia’s rice fields due to the 2015 El Nino using standardized precipitation index (SPI)

引用

AIP Conference Proceedings 2023年第1期2654卷

作者： Serli Nopia Adam Irwansyah Fauzi Anjar Dimara Sakti Muhammad Ulin Nuha Nova Anika Raden Putra Diyanti Isnani Siregar Budhi Agung Prasetyo Atriyon Julzarika Ketut Wikantika 1Department of Geomatics Engineering Faculty of Regional and Infrastructure Technology Institut Teknologi Sumatera Lampung 35365 Indonesia 5Research and Innovation Center for Geospatial Information Science Institut Teknologi Sumatera Lampung Selatan 35365 Indonesia 2Center for Remote Sensing Institut Teknologi Bandung Bandung 40132 Indonesia 3Remote Sensing and Geographic Information Science Research Group Faculty of Earth Sciences and Technology Institut Teknologi Bandung Bandung 40132 Indonesia 4Center of Sustainable Development Goals Institut Teknologi Bandung Bandung 40132 Indonesia 6Departement of Biosystems Engineering Institut Teknologi Sumatera Lampung Selatan 35365 Indonesia 7Departement of Environmental Engineering Institut Teknologi Sumatera Lampung Selatan 35365 Indonesia 8Research and Innovation Center for Disaster Mitigation and Early Detection of Forest Fires Institut Teknologi Sumatera Lampung Selatan 35365 Indonesia 9Department of Forestry Engineering Institut Teknologi Sumatera Lampung Selatan 35365 Indonesia 10Department of Marine Environmental Science Institut Teknologi Sumatera Lampung Selatan 35365 Indonesia 11Indonesian National Institute of Aeronautics and Space (LAPAN) Jakarta 13710 Indonesia

Drought is a common, slow-moving disaster that is difficult to pinpoint its beginning and end. As a country located in the tropics, Indonesia is sensitive to the El Nino Southern Oscillation (ENSO) climate anomaly, where this event causes drought. Therefore, this study analyzes the drought in Indonesian rice fields by comparing the 2015 El Nino status with the normal 2013 status. CHIRPS data are used in this study to calculate the 9-month-based Standardized Precipitation Index (SPI) for 2013 and 2015. In 2013 the average rice field was normal to the extreme wet range with the largest area under normal conditions (43.46%) and the lowest in severely dry conditions (0.06%). However, in 2015 rice fields were normal to the extreme dry range with the largest area under normal conditions (35.28%) and the lowest in severe wet conditions (0.04%) of the total area of rice fields in Indonesia. The total increase in moderate drought in rice fields throughout Indonesia was 17333.83 km2, severe drought was 20324.69 km2, and extreme drought was 5134.44 km2. The highest increase in extreme drought after the El Nino event was in the Sumatra region with 3075.14 km2, while the highest increase in severe drought and drought occurred in the Java region with a total area of 13263.46 km2 and 12293.53 km2.

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Search for light dark matter-electron scatterings in the PandaX-II experiment

arXiv

引用

arXiv 2021年

作者： Cheng, Chen Xie, Pengwei Abdukerim, Abdusalam Chen, Wei Chen, Xun Chen, Yunhua Cui, Xiangyi Fan, Yingjie Fang, Deqing Fu, Changbo Fu, Mengting Geng, Lisheng Giboni, Karl Gu, Linhui Guo, Xuyuan Han, Ke He, Changda He, Shengming Huang, Di Huang, Yan Huang, Yanlin Huang, Zhou Ji, Xiangdong Ju, Yonglin Li, Shuaijie Lin, Qing Liu, Huaxuan Liu, Jianglai Liu, Liqiang Lu, Xiaoying Ma, Wenbo Ma, Yugang Mao, Yajun Meng, Yue Namwongsa, Parinya Ni, Kaixiang Ning, Jinhua Ning, Xuyang Ren, Xiangxiang Shaheed, Nasir Shang, Changsong Shen, Guofang Si, Lin Tan, Andi Wang, Anqing Wang, Hongwei Wang, Meng Wang, Qiuhong Wang, Siguang Wang, Wei Wang, Xiuli Wang, Zhou Wu, Mengmeng Wu, Shiyong Wu, Weihao Xia, Jingkai Xiao, Mengjiao Xiao, Xiang Yan, Binbin Yang, Jijun Yang, Yong Yu, Chunxu Yuan, Jumin Yuan, Ying Zeng, Xinning Zhang, Dan Zhang, Tao Zhao, Li Zheng, Qibin Zhou, Jifang Zhou, Ning Zhou, Xiaopeng Shanghai Key Laboratory for Particle Physics and Cosmology Shanghai200240 China School of Physics Sun Yat-Sen University Guangzhou510275 China Tsung-Dao Lee Institute Shanghai Jiao Tong University Shanghai200240 China Shanghai Jiao Tong University Sichuan Research Institute Chengdu610213 China Yalong River Hydropower Development Company Ltd. 288 Shuanglin Road Chengdu610051 China School of Physics Nankai University Tianjin300071 China Institute of Modern Physics Fudan University Shanghai200433 China School of Physics Peking University Beijing100871 China School of Physics Beihang University Beijing100191 China International Research Center for Nuclei and Particles in the Cosmos Beijing Key Laboratory of Advanced Nuclear Materials and Physics Beihang University Beijing100191 China School of Medical Instrument and Food Engineering University of Shanghai for Science and Technology Shanghai200093 China Department of Physics University of Maryland College ParkMD20742 United States School of Mechanical Engineering Shanghai Jiao Tong University Shanghai200240 China State Key Laboratory of Particle Detection and Electronics University of Science and Technology of China Hefei230026 China Department of Modern Physics University of Science and Technology of China Hefei230026 China Research Center for Particle Science and Technology Institute of Frontier and Interdisciplinary Science Shandong University Shandong Qingdao266237 China Key Laboratory of Particle Physics and Particle Irradiation of Ministry of Education Shandong University Shandong Qingdao266237 China Shanghai Advanced Research Institute Chinese Academy of Sciences Shanghai201210 China

We report constraints on light dark matter through its interactions with shell electrons in the PandaX-II liquid xenon detector with a total 46.9 tonne·day exposure. To effectively search for these very low energy electron recoils, ionization-only signals are selected from the data. 1821 candidates are identified within ionization signal range between 50 to 75 photoelectrons, corresponding to a mean electronic recoil energy from 0.08 to 0.15 keV. The 90% C.L. exclusion limit on the scattering cross section between the dark matter and electron is calculated with systematic uncertainties properly taken into account. Under the assumption of point interaction, we provide the world's most stringent limit within the dark matter mass range from 15 to 30 MeV/c2, with the corresponding cross section from 2.5 × 10-37 to 3.1 × 10-38 cm2. © 2021, CC BY.

关键词： Electrons

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Type-II superlattice digital focal plane arrays for earth remote sensing instruments

Type-II superlattice digital focal plane arrays for earth re...

引用

Latin America Optics and Photonics Conference, LAOP 2018

作者： Gunapala, Sarath Ting, David Soibel, Alexander Khoshakhlagh, Arezou Rafol, Sir Hill, Cory Fisher, Anita Pepper, Brian Choi, Kwong-Kit D'Souza, Arvind Masterjohn, Christopher Center for Infrared Photodetectors Jet Propulsion Laboratory California Institute of Technology PasadenaCA United States US Army Research Development and Engineering Command Army Research Laboratory AdelphiMD United States DRS Network and Imaging Systems Inc. CypressCA United States

We will discuss a development of digital infrared sensor using type-II superlattices. Our goal is to elevate the operating temperature of the sensor to reduce the size, weight, and power of the remote sensing instrume... 详细信息

ISBN: (纸本)9781943580491

关键词： infrared detectors

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