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用快速重建算法测量Baikal-GVD中的μ子径迹

Measuring muon tracks in Baikal-GVD using a fast reconstruction algorithm

GVD Collaboration, V. A. Allakhverdyan, A. D. Avrorin, A. V. Avrorin, V. M. Aynutdinov, R. Bannasch, Z. Bardačová, I. A. Belolaptikov, I. V. Borina, V. B. Bruda… 展开作者

GVD Collaboration, V. A. Allakhverdyan, A. D. Avrorin, A. V. Avrorin, V. M. Aynutdinov, R. Bannasch, Z. Bardačová, I. A. Belolaptikov, I. V. Borina, V. B. Brudanin, N. M. Budnev, 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, S. V. Fialkovski, A. R. Gafarov, K. V. Golubkov, N. S. Gorshkov, T. I. Gress, M. S. Katulin, K. G. Kebkal, O. G. Kebkal, E. V. Khramov, M. M. Kolbin, K. V. Konischev, K. A. Kopański, A. V. Korobchenko, A. P. Koshechkin, V. A. Kozhin, M. V. Kruglov, M. K. Kryukov, V. F. Kulepov, Pa. Malecki, Y. M. Malyshkin, M. B. Milenin, R. R. Mirgazov, D. V. Naumov, V. Nazari, W. Noga, D. P. Petukhov, E. N. Pliskovsky, M. I. Rozanov, V. D. Rushay, E. V. Ryabov, G. B. Safronov, B. A. Shaybonov, M. D. Shelepov, F. Šimkovic, A. E. Sirenko, A. V. Skurikhin, A. G. Solovjev, M. N. Sorokovikov, I. Štekl, A. P. Stromakov, E. O. Sushenok, O. V. Suvorova, V. A. Tabolenko, B. A. Tarashansky, Y. V. Yablokova, S. A. Yakovlev, D. N. Zaborov

备注：
15 pages, 6 figures, 1 table, to be published in Eur. Phys. J. C
发表信息：
Eur. Phys. J. C 81 (2021) 1025
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摘要：

贝加尔千兆吨体积探测器（Baikal-GVD）是一个km $^3$级中微子探测器，目前正在俄罗斯贝加尔湖建造。该探测器由数千个光学传感器组成，这些传感器排列在垂直的弦上，每根弦有36个传感器。字符串被分组为每个8个字符串的集群。每个星团都可以作为独立的中微子探测器运行。探测器的布局进行了优化的天体物理中微子与$\sim$ 100 TeV及以上的能量的测量。在Baikal-GVD中，μ子（反）中微子的带电电流相互作用所产生的事件将具有类径迹拓扑结构。已经开发了基于快速$χ^2$的重建算法来重建这样的类轨迹事件。该算法已应用于2019年从贝加尔-GVD的前五个运行集群收集的数据，从而观测到下行大气μ子和上行大气中微子。这是Baikal-GVD设计实验验证的重要里程碑。该分析仅限于单簇数据，有利于接近垂直的轨道。

英文摘要：

The Baikal Gigaton Volume Detector (Baikal-GVD) is a km$^3$-scale neutrino detector currently under construction in Lake Baikal, Russia. The detector consists of several thousand optical sensors arranged on vertical strings, with 36 sensors per string. The strings are grouped into clusters of 8 strings each. Each cluster can operate as a stand-alone neutrino detector. The detector layout is optimized for the measurement of astrophysical neutrinos with energies of $\sim$ 100 TeV and above. Events resulting from charged current interactions of muon (anti-)neutrinos will have a track-like topology in Baikal-GVD. A fast $χ^2$-based reconstruction algorithm has been developed to reconstruct such track-like events. The algorithm has been applied to data collected in 2019 from the first five operational clusters of Baikal-GVD, resulting in observations of both downgoing atmospheric muons and upgoing atmospheric neutrinos. This serves as an important milestone towards experimental validation of the Baikal-GVD design. The analysis is limited to single-cluster data, favoring nearly-vertical tracks.

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