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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
会议录名称Proceedings of Science
2022-03-18
卷号395
DOI10.22323/1.395.1037
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
学科门类理学 ; 理学::天文学 ; 工学 ; 工学::核科学与技术
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
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Liu, D.,Chang, J.,Chen, S.,et al. Supernova Neutrino Detection with LHAASO-MD[C]:Sissa Medialab Srl,2022.
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