Baikal-GVD Experiment
- NázevTitle
- Baikal-GVD ExperimentBaikal-GVD Experiment
- Druh výsledkuResult type
- Článek v časopiseJournal article
- AutořiAuthors
- A. V. Avrorin, A. D. Avrorin, V. M. Aynutdinov, R. Bannasch, L. Fajt, I. Štekl, F. Šimkovic
- DOIDOI
- 10.1134/S1063778820060046
- Časopis / citaceJournal / citation
- Physics of Atomic Nuclei. 2020, 83(6), 916-921. ISSN 1063-7788.
- RokYear
- 2020
- JazykLanguage
- eng
- WoSWoS
- 000617283600018
- ScopusScopus
- 2-s2.0-105002987185
- RIVRIV
- RIV/68407700:21670/20:00356287!RIV22-MSM-21670___
- ProjektProject
- Inženýrské aplikace fyziky mikrosvětaEngineering applications of microworld physics
AbstraktAbstract
Baikal-GVD is a deep-underwater neutrino detector of cubic-kilometer scale. It is designed to detect astrophysical neutrinos up to multi-PeV energies and beyond. The deployment of this facility began in spring 2015. Since April 2020, the detector includes seven clusters, each consisting of eight strings carrying in total 288 optical modules located at depths of 750 to 1275 m. By the end of the first phase of construction of the detector in 2024, it is planned to deploy 15 clusters, whereby an effective volume of 0.75 km for detecting high-energy cascades would be reached. The design and status of the Baikal-GVD detector are described in the present article along with selected results of data analysis.
Baikal-GVD is a deep-underwater neutrino detector of cubic-kilometer scale. It is designed to detect astrophysical neutrinos up to multi-PeV energies and beyond. The deployment of this facility began in spring 2015. Since April 2020, the detector includes seven clusters, each consisting of eight strings carrying in total 288 optical modules located at depths of 750 to 1275 m. By the end of the first phase of construction of the detector in 2024, it is planned to deploy 15 clusters, whereby an effective volume of 0.75 km for detecting high-energy cascades would be reached. The design and status of the Baikal-GVD detector are described in the present article along with selected results of data analysis.