Review of Software for Automatic Processing and Analysis of Data from the Baikal-GVD Neutrino Observatory
- NázevTitle
- Review of Software for Automatic Processing and Analysis of Data from the Baikal-GVD Neutrino ObservatoryReview of Software for Automatic Processing and Analysis of Data from the Baikal-GVD Neutrino Observatory
- Druh výsledkuResult type
- Příspěvek ve sborníkuProceedings paper
- AutořiAuthors
- V.A. Allakhverdyan, A.D. Avrorin, A.V. Avrorin, V.M. Aynutdinov, Z. Bardačová, V.A. Chadymov, E. Eckerová, L. Fajt, V.N. Fomin, F. Šimkovic, I. Štekl
- Klíčová slovaKeywords
- Baikal-GVD, neutrino telescope
- KonferenceConference
- Parallel Computational Technologies (Chelyabinsk, 2024-04-02)
- DOIDOI
- 10.1007/978-3-031-73372-7_6
- Časopis / citaceJournal / citation
- In: Communications in Computer and Information Science, Springer Nature Switzerland, 2024, pp. 80-91 · ISSN 1865-0929
- RokYear
- 2024
- JazykLanguage
- eng
- ZáznamyRecords
- ProjektProject
- Institucionální podpora na rozvoj výzkumné org.Institucionální podpora na rozvoj výzkumné org.
- CitovánoCited by
- 2 (OpenAlex)
- Citace ke staženíDownload citation
- TXT · BibTeX
AbstraktAbstract
The Baikal-GVD is a gigaton-volume neutrino observatory under construction in Lake Baikal. It currently generates around 200 GB of data daily. To handle this, a software system has been developed for automatic processing and analysis. This system includes a core part consisting of C++ programs for data processing, with the output of a program being the input to others, and a managing part, which is a Python package that organizes programs into a processing graph and ensures their correct execution order. Programs that are independent of each other are executed in parallel. The system is capable of providing a preliminary response within 3 to 10 min and final results within a few hours after the completion of a run.
The Baikal-GVD is a gigaton-volume neutrino observatory under construction in Lake Baikal. It currently generates around 200 GB of data daily. To handle this, a software system has been developed for automatic processing and analysis. This system includes a core part consisting of C++ programs for data processing, with the output of a program being the input to others, and a managing part, which is a Python package that organizes programs into a processing graph and ensures their correct execution order. Programs that are independent of each other are executed in parallel. The system is capable of providing a preliminary response within 3 to 10 min and final results within a few hours after the completion of a run.