Электронный каталог

Статья

Kulikov, A.A.
Applying Databases for Data Visualization in Enhanced Follow-Up Regime of Baikal-GVD Neutrino Telescope : XXVII International Scientific Conference of Young Scientists and Specialists (AYSS-2023), Dubna, Russia, October 30 – November 3, 2023 : Materials / A.A.Kulikov, V.Yu.Dik, T.V.Elzhov, [et al.] // Физика элементарных частиц и атомного ядра. Письма. – 2024. – Т. 21, № 4. – C. 792-793. – URL: http://www1.jinr.ru/Pepan_letters/panl_2024_4/60_Kulikov_ann.pdf.

We describe improvements to the Baikal-GVD alert system related to alert visualization which could clarify the alert data and their possible relation to astrophysical phenomena. The Baikal-GVD online data processing and alert system was launched at the beginning of 2021. It is designed for fast online neutrino event reconstruction and, when a potential signal from an astrophysical source is detected, sending an alert message to collaboration members. It also searches for coincidences between internal alerts and other astrophysical experiment alerts. The databases schema used to store the alert data (MariaDB, InfluxDB, MongoDB) is described. Automation of data analysis and visualization processes occurs using specialized Python libraries (Matplotlib, Astropy, etc.), which provide an API for that. The capabilities of the Grafana software system for storing visualized data with the ability to share them are also explored. One of the main tasks of our alert system is the switch to real-time mode with a low latency mode in signal reception both by the Baikal-GVD trigger and in receiving and responding to an external alert.



Спец.(статьи,препринты) = С 344.1х - Методы регистрации нейтрино
Спец.(статьи,препринты) = Ц 840 в - Программы обработки экспериментальных данных и управление физическими установками$
Спец.(статьи,препринты) = Ц 840 г1 - Банки и базы данных
ОИЯИ = ОИЯИ (JINR)2024