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arXiv 2511.03438astro-ph.IM
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Baikal-GVD中微子望远镜快速数据处理系统的设计与实现

Design and Implementation of the Fast Data Processing System for the Baikal-GVD Neutrino Telescope

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

V. A. Allakhverdyan, A. D. Avrorin, A. V. Avrorin, V. M. Aynutdinov, I. A. Belolaptikov, Z. Berusova, E. A. Bondarev, I. V. Borina, N. M. Budnev, V. A. Chadymov, A. S. Chepurnov, V. Y. Dik, A. N. Dmitriyeva, G. V. Domogatsky, A. A. Doroshenko, R. Dvornicky, A. N. Dyachok, Zh. -A. M. Dzhilkibaev, E. Eckerova, T. V. Elzhov, V. N. Fomin, A. R. Gafarov, K. V. Golubkov, T. I. Gress, K. G. Kebkal, V. K. Kebkal, I. Kharuk, S. S. Khokhlov, 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, A. A. Kulikov, Y. E. Lemeshev, M. V. Lisitsin, S. V. Lovtsov, R. R. Mirgazov, D. V. Naumov, A. S. Nikolaev, I. A. Perevalova, A. A. Petrukhin, D. P. Petukhov, E. N. Pliskovsky, M. I. Rozanov, E. V. Ryabov, G. B. Safronov, B. A. Shaybonov, V. Y. Shishkin, E. V. Shirokov, F. Simkovic, A. E. Sirenko, A. V. Skurikhin, A. G. Solovjev, M. N. Sorokovikov, I. Stekl, A. P. Stromakov, O. V. Suvorova, V. A. Tabolenko, V. I. Tretyak, B. B. Uizutuev, Y. V. Yablokova, D. N. Zaborov, S. I. Zavyalov, D. Y. Zvezdov

AI总结:

本文提出用于Baikal-GVD中微子望远镜的快速数据处理系统,通过并行化文件处理与双流水线设计实现低延迟数据重建,支持瞬变天体物理源的快速后续观测并履行多信使网络作用。

摘要:

我们提出了一套用于Baikal-GVD中微子望远镜的快速数据处理系统,旨在快速识别天体物理中微子事件。利用Baikal-GVD的模块化簇结构,该系统实现了并行化文件处理,原始数据文件在专用虚拟机上进行并发分析。系统实现了两条流水线:快速单文件处理和完整的单次运行处理,后者整合了由声学和惯性定位系统确定的动态探测器几何结构以及数据质量监测,延迟约为27小时。快速处理流水线从事件探测到重建数据可用的总延迟约为1.5-18分钟,具体取决于水体发光水平。这使得能够对瞬变天体物理源进行快速后续观测,履行Baikal-GVD在多信使网络中的作用。文章还强调了数据获取系统的关键特性、先进同步系统的集成以及用于数据处理和存储的稳健基础设施,确保Baikal-GVD望远镜高效可靠地运行。

英文摘要:

We present a fast data processing system for the Baikal-GVD neutrino telescope, designed for rapid identification of astrophysical neutrino events. Leveraging Baikal-GVD's modular cluster architecture, the system implements parallelized file processing where raw data files undergo concurrent analysis across dedicated virtual machines. The system implements two pipelines: a fast per-file processing and a fully fledged (per-run) processing, which integrates dynamic detector geometry determined from acoustic and inertial positioning systems and data quality monitoring with a latency of about 27 hr. The fast processing pipeline delivers a total latency of about 1.5-18 minutes from event detection to reconstructed data availability, depending on water luminescence levels. This enables fast follow-up observations of transient astrophysical sources, fulfilling Baikal-GVD's role in multi-messenger networks. The article also highlights key features of the data acquisition system, the integration of advanced synchronization systems and a robust infrastructure for data handling and storage, ensuring efficient and reliable operation of the Baikal-GVD telescope.

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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