Muon Track Reconstruction Procedures at the Baikal-GVD Neutrino Telescope
- NázevTitle
- Muon Track Reconstruction Procedures at the Baikal-GVD Neutrino TelescopeMuon Track Reconstruction Procedures at the Baikal-GVD Neutrino Telescope
- Druh výsledkuResult type
- Článek v časopiseJournal article
- AutořiAuthors
- V. A. Allakhverdyan, A. D. Avrorin, A. V. Avrorin, V. M. Aynutdinov, Z. Bardačová, R. Dvornický, E. Eckerová, F. Šimkovic, I. Štekl
- ExperimentCollaboration
- Baikal-GVD
- DOIDOI
- 10.1134/S1063778825602446
- Časopis / citaceJournal / citation
- Physics of Atomic Nuclei 88(S4), S401-S407 (2025) · ISSN 1063-7788
- RokYear
- 2025
- JazykLanguage
- eng
- ZáznamyRecords
- ProjektProject
- Laboratoire Souterrain de Modane - účast ČRLaboratoire Souterrain de Modane – participation of the Czech Republic
- Citace ke staženíDownload citation
- TXT · BibTeX
AbstraktAbstract
The Baikal-GVD neutrino telescope is the largest neutrino detector of its kind in the Northern Hemisphere. Muons produced in neutrino interaction in the vicinity of the detector leave track-like response in the detector allowing to reconstruct the neutrino arrival direction with the precision up to. The Baikal-GVD collaboration has developed a variety of methods for the track-like event analysis. Methods for track-like event direction and energy reconstruction and neutrino cadidate event selection are discussed in this report. Preliminary results of application of analysis pipeline to the data-taking seasons from 2019 to 2021 are shown.
The Baikal-GVD neutrino telescope is the largest neutrino detector of its kind in the Northern Hemisphere. Muons produced in neutrino interaction in the vicinity of the detector leave track-like response in the detector allowing to reconstruct the neutrino arrival direction with the precision up to. The Baikal-GVD collaboration has developed a variety of methods for the track-like event analysis. Methods for track-like event direction and energy reconstruction and neutrino cadidate event selection are discussed in this report. Preliminary results of application of analysis pipeline to the data-taking seasons from 2019 to 2021 are shown.