Institutional Repository System Of Yunnan Observatories, CAS
| Supernova Neutrino Detection with LHAASO-MD | |
Liu, D.1; Chang, J.3; Chen, S.4; Dai, H.3; Feng, C.1; Gao, B.3; Gong, G.4; Gu, M.3; Li, F.3; Ma, X.3; Wang, X.2; Wang, Z.4; Zuo, X.3; Cao, Zhen5,6,7; Aharonian, F.8,9; An, Q.10,11; Axikegu12; Bai, L. X.13; Bai, Y. X.5,7; Bai, L. X.13; Bai, Y. X.5,7; Bao, Y. W.14; Bastieri, D.15; Bi, X. J.5,6,7; Bi, Y. J.5,7; Cai, H.16; Cai, J. T.15; Cao, Zhe10,11; Chang, J.17; Chang, J. F.5,7,10; Chen, B. M.18; Chen, E. S.5,6,7; Chen, J.13; Chen, Liang5,6,7,19; Chen, Long12; Chen, M. J.5,7; Chen, M. L.5,7,10; Chen, Q. H.12; Chen, S. H.5,6,7; Chen, S. Z.5,7; Chen, T. L.20; Chen, X. L.5,6,7; Chen, Y.14; Cheng, N.5,7; Cheng, Y. D.5,7; Cui, S. W.18; Cui, X. H.21; Cui, Y. D.22; D’Ettorre Piazzoli, B.23; Dai, B. Z.24; Dai, H. L.5,7,10; Dai, Z. G.11; Danzengluobu20; della Volpe, D.25; Dong, X. J.5,7; Duan, K. K.17; Fan, J. H.15; Fan, Y. Z.17; Fan, Z. X.5,7; Fang, J.24; Fang, K.5,7; Feng, C. F.1,26; Feng, L.17; Feng, S. H.5,7; Feng, Y. L.17; Gao, B.5,7; Gao, C. D.1,26; Gao, L. Q.5,6,7; Gao, Q.20; Gao, W.1,26; Ge, M. M.24; Geng, L. S.5,7; Gong, G. H.26; Gou, Q. B.5,7; Gu, M. H.5,7,10; Guo, F. L.19; Guo, J. G.5,6,7; Guo, X. L.12; Guo, Y. Q.5,7; Guo, Y. Y.5,6,7,17; Han, Y. A.27; He, H. H.5,6,7; He, H. N.17; He, J. C.5,6,7; He, S. L.15; He, X. B.22; He, Y.12; Heller, M.25; Hor, Y. K.22; Hou, C.5,7; Hu, H. B.5,6,7; Hu, S.13; Hu, S. C.5,6,7; Hu, X. J.26; Huang, D. H.12; Huang, Q. L.5,7; Huang, W. H.1,26; Huang, X. T.1,26; Huang, X. Y.17; Huang, Z. C.12; Ji, F.5,7; Ji, X. L.5,7,10; Jia, H. Y.12; Jiang, K.10,11; Jiang, Z. J.24; Jin, C.5,6,7; Ke, T.5,7; Kuleshov, D.28; Levochkin, K.28; Li, B. B.18; Li, Cheng10,11; Li, Cong5,7; Li, F.5,7,10; Li, H. B.5,7; Li, H. C.5,7; Li, H. Y.11,17; Li, J.5,7,10; Li, K.5,7; Li, W. L.1,26; Li, X. R.5,7; Li, Xin10,11; Li, Xin12; Li, Y.13; Li, Y. Z.5,6,7; Li, Zhe5,7; Li, Zhuo29; Liang, E. W.30; Liang, Y. F.30; Lin, S. J.22; Liu, B.11; Liu, C.5,7; Liu, D.1,26; Liu, H.12; Liu, H. D.27; Liu, J.5,7; Liu, J. L.31; Liu, J. S.22; Liu, J. Y.5,7; Liu, M. Y.20; Liu, R. Y.14; Liu, S. M.12; Liu, W.5,7; Liu, Y.15; Liu, Y. N.26; Liu, Z. X.13; Long, W. J.12; Lu, R.24; Lv, H. K.5,7; Ma, B. Q.29; Ma, L. L.5,7; Ma, X. H.5,7; Mao JR(毛基荣)32 ; Masood, A.12; Min, Z.5,7; Mitthumsiri, W.33; Montaruli, T.25; Nan, Y. C.1,26; Pang, B. Y.12; Pattarakijwanich, P.33; Pei, Z. Y.15; Qi, M. Y.5,7; Qi, Y. Q.18; Qiao, B. Q.5,7; Qin, J. J.11; Ruffolo, D.33; Rulev, V.28; Sáiz, A.33; Shao, L.18; Shchegolev, O.28,34; Sheng, X. D.5,7; Shi, J. Y.5,7; Song, H. C.29
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| 会议录名称 | Proceedings of Science |
| 2022-03-18 | |
| 卷号 | 395 |
| DOI | 10.22323/1.395.1037 |
| 产权排序 | 第33完成单位 |
| 收录类别 | EI |
| 会议名称 | 37th International Cosmic Ray Conference, ICRC 2021 |
| 会议日期 | 2021-07-12 |
| 会议地点 | Virtual, Berlin, Germany |
| 摘要 | The core-collapse supernova releases a tremendous number of neutrinos, which can provide insight into many research areas, including particle physics, astrophysics, nuclear physics, and cosmology. We can detect the signal through a positron produced from the inverse beta decay (IBD) interaction between the electron antineutrino and water. The Large High Altitude Air Shower Observatory[1] muon detector (LHAASO-MD) with 51-kton water can serve this purpose. The MD detectors have been designed to have a scattered layout as well as spatial uniformity. We hope to design a dedicated supernova trigger system in the data acquisition system to take advantage of these unique detector characteristics. The large numbers of MeV-scale supernova burst neutrinos can be observed from a collective rise in all photomultiplier rates on top of the dark noise. This system should effectively suppress the cosmic ray background, optimizes the neutrino detection sensitivity, and realizes the supernova neutrino detection by optimizing the online trigger, data acquisition, and offline data analysis at LHAASO. The trigger system is estimated to be fully sensitive to 1987A-type supernova bursts throughout most of the Milky Way and can eventually help LHAASO join the SuperNova Early Warning System (SNEWS). © Copyright owned by the author(s) under the terms of the Creative Commons. |
| 资助项目 | National Natural Science Foundation of China[11775131] ; National Natural Science Foundation of China[U1931108] |
| 项目资助者 | National Natural Science Foundation of China[11775131, U1931108] |
| 语种 | 英语 |
| 学科领域 | 天文学 ; 天体物理学 ; 高能天体物理学 ; 核科学技术 |
| 文章类型 | Conference article (CA) |
| 出版者 | Sissa Medialab Srl |
| URL | 查看原文 |
| EI入藏号 | 20230113325121 |
| EI主题词 | Supernovae |
| EI分类号 | 657 Space Physics - 657.2 Extraterrestrial Physics and Stellar Phenomena - 713.5 Electronic Circuits Other Than Amplifiers, Oscillators, Modulators, Limiters, Discriminators or Mixers - 723.2 Data Processing and Image Processing - 944.7 Radiation Measuring Instruments |
| 引用统计 | |
| 文献类型 | 会议论文 |
| 条目标识符 | http://ir.ynao.ac.cn/handle/114a53/25726 |
| 专题 | 星系类星体研究组 |
| 作者单位 | 1.Institute of Frontier and Interdisciplinary Science, Shandong University, Shandong, Qingdao, 266237, China; 2.National University of Defense Technology, Hunan, Changsha, 410073, China; 3.Institute of High Energy Physics, Chinese Academy of Sciences, Beijing, 100049, China; 4.Tsinghua University, Beijing, 100084, China; 5.Key Laboratory of Particle Astrophyics, Experimental Physics Division, Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing, 100049, China; 6.University of Chinese Academy of Sciences, Beijing, 100049, China; 7.TIANFU Cosmic Ray Research Center, Sichuan, Chengdu, China; 8.Dublin Institute for Advanced Studies, 31 Fitzwilliam Place, 2, Dublin, Ireland; 9.Max-Planck-Institut for Nuclear Physics, P.O. Box 103980, Heidelberg, 69029, Germany; 10.State Key Laboratory of Particle Detection and Electronics, China; 11.University of Science and Technology of China, Anhui, Hefei, 230026, China; 12.School of Physical Science and Technology, School of Information Science and Technology, Southwest Jiaotong University, Sichuan, Chengdu, 610031, China; 13.College of Physics, Sichuan University, Sichuan, Chengdu, 610065, China; 14.School of Astronomy and Space Science, Nanjing University, Jiangsu, Nanjing, 210023, China; 15.Center for Astrophysics, Guangzhou University, Guangdong, Guangzhou, 510006, China; 16.School of Physics and Technology, Wuhan University, Hubei, Wuhan, 430072, China; 17.Key Laboratory of Dark Matter and Space Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, Jiangsu, Nanjing, 210023, China; 18.Hebei Normal University, Hebei, Shijiazhuang, 050024, China; 19.Key Laboratory for Research in Galaxies and Cosmology, Shanghai Astronomical Observatory, Chinese Academy of Sciences, Shanghai, 200030, China; 20.Key Laboratory of Cosmic Rays, Tibet University, Ministry of Education, Tibet, Lhasa, 850000, China; 21.National Astronomical Observatories, Chinese Academy of Sciences, Beijing, 100101, China; 22.School of Physics and Astronomy, School of Physics (Guangzhou), Sun Yat-Sen University, Guangdong, Zhuhai, 519000, China; 23.Dipartimento di Fisica, Università di Napoli `‘Federico II 24.School of Physics and Astronomy, Yunnan University, Yunnan, Kunming, 650091, China; 25.D’epartement de Physique Nucl’eaire et Corpusculaire, Facult’e de Sciences, Universit’e de Gen‘eve, 24 Quai Ernest Ansermet, Geneva, 1211, Switzerland; 26.Department of Engineering Physics, Tsinghua University, Beijing, 100084, China; 27.School of Physics and Microelectronics, Zhengzhou University, Henan, Zhengzhou, 450001, China; 28.Institute for Nuclear Research of Russian Academy of Sciences, Moscow, 117312, Russia; 29.School of Physics, Peking University, Beijing, 100871, China; 30.School of Physical Science and Technology, Guangxi University, Guangxi, Nanning, 530004, China; 31.Tsung-Dao Lee Institute, School of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai, 200240, China; 32.Yunnan Observatories, Chinese Academy of Sciences, Yunnan, Kunming, 650216, China; 33.Department of Physics, Faculty of Science, Mahidol University, Bangkok, 10400, Thailand; 34.Moscow Institute of Physics and Technology, Moscow, 141700, Russia; 35.Key Laboratory of Radio Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, Jiangsu, Nanjing, 210023, China; 36.National Space Science Center, Chinese Academy of Sciences, Beijing, 100190, China |
| 推荐引用方式 GB/T 7714 | Liu, D.,Chang, J.,Chen, S.,et al. Supernova Neutrino Detection with LHAASO-MD[C]:Sissa Medialab Srl,2022. |
| 条目包含的文件 | ||||||
| 文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
| Supernova Neutrino D（857KB） | 会议论文 | 开放获取 | CC BY-NC-SA | 浏览 请求全文 | ||
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