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arXiv 2310.03450astro-ph.IMphysics.ins-det
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贝加尔湖GVD中微子望远镜的径迹型事件分析

Track-Like Event Analysis at the Baikal-GVD Neutrino Telescope

V. M. Aynutdinov, V. A. Allakhverdyan, A. D. Avrorin, A. V. Avrorin, Z. Bardačová, I. A. Belolaptikov, E. A. Bondarev, I. V. Borina, N. M. Budnev, V. A. Chadymo… 展开作者

V. M. Aynutdinov, V. A. Allakhverdyan, A. D. Avrorin, A. V. Avrorin, Z. Bardačová, I. A. Belolaptikov, E. A. Bondarev, I. V. Borina, N. M. Budnev, V. A. Chadymov, A. S. Chepurnov, V. Y. Dik, G. V. Domogatsky, A. A. Doroshenko, R. Dvornický, A. N. Dyachok, Zh. -A. M. Dzhilkibaev, E. Eckerová, T. V. Elzhov, L. Fajt, V. N. Fomin, A. R. Gafarov, K. V. Golubkov, N. S. Gorshkov, T. I. Gress, K. G. Kebkal, I. V. Kharuk, E. V. Khramov, M. M. Kolbin, S. O. Koligaev, K. V. Konischev, A. V. Korobchenko, A. P. Koshechkin, V. A. Kozhin, M. V. Kruglov, V. F. Kulepov, Y. E. Lemeshev, M. B. Milenin, R. R. Mirgazov, D. V. Naumov, A. S. Nikolaev, D. P. Petukhov, E. N. Pliskovsky, M. I. Rozanov, E. V. Ryabov, G. B. Safronov, D. Seitova, B. A. Shaybonov, M. D. Shelepov, S. D. Shilkin, E. V. Shirokov, F. Šimkovic, A. E. Sirenko, A. V. Skurikhin, A. G. Solovjev, M. N. Sorokovikov, I. Štekl, A. P. Stromakov, O. V. Suvorova, V. A. Tabolenko, B. B. Ulzutuev, Y. V. Yablokova, D. N. Zaborov, S. I. Zavyalov, D. Y. Zvezdov

AI总结:

本研究针对贝加尔湖GVD中微子望远镜的径迹型事件分析,将原单簇低能分析扩展到更宽数据集,展示首批高能径迹事件,并介绍多簇径迹重建与事件分析的现状,助力中微子点源搜寻。

摘要:

中微子相互作用产生的μ子经重建得到的径迹可精确探测中微子方向,因此径迹型事件是搜寻中微子点源的有力工具。近期,Baikal-GVD通过单簇分析(将每个簇视为独立探测器),展示了从2019年观测季数据中提取的首批低能中微子候选事件样本。本文讨论了将径迹型事件分析扩展至更广泛数据集的相关工作,展示了首批高能径迹型事件,同时阐述了多簇径迹重建与事件分析的进展状态。

英文摘要:

Reconstructed tracks of muons produced in neutrino interactions provide the precise probe for the neutrino direction. Therefore, track-like events are a powerful tool to search for neutrino point sources. Recently, Baikal-GVD has demonstrated the first sample of low-energy neutrino candidate events extracted from the data of the season 2019 in a so-called single-cluster analysis - treating each cluster as an independent detector. In this paper, the extension of the track-like event analysis to a wider data set is discussed and the first high-energy track-like events are demonstrated. The status of multi-cluster track reconstruction and that of the event analysis are also discussed.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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