Atmospheric muon suppression for Baikal-GVD cascade analysis
V.M. Aynutdinov, V.A. Allakhverdyan, A.D. Avrorin, A.V. Avrorin, Z., Barda\v{c}ov\'a, I.A. Belolaptikov, E.A. Bondarev, I.V. Borina, N.M. Budnev,, V.A. Chadymov, A.S. Chepurnov, V.Y. Dik, G.V. Domogatsky, A.A. Doroshenko, R., Dvornick\'y, A.N. Dyachok, Zh.-A.M. Dzhilkibaev

TL;DR
This paper presents an algorithm for selecting cascade events in the Baikal-GVD neutrino telescope, aiming to suppress atmospheric muon background and improve neutrino detection accuracy.
Contribution
The paper introduces a new algorithm specifically designed to distinguish cascade events from atmospheric muon background in Baikal-GVD data.
Findings
Effective suppression of atmospheric muon background achieved.
Enhanced identification of neutrino-induced cascade events.
Improved accuracy in neutrino detection in Lake Baikal.
Abstract
Baikal-GVD (Gigaton Volume Detector) is a neutrino telescope installed at a depth of 1366 m in Lake Baikal. The expedition of 2023 brought the number of optical modules in the array up to 3492 (including experimental strings). These optical modules detect the Cherenkov radiation from secondary charged particles coming from the neutrino interactions. Neutrinos produce different kinds of topologically distinct light signatures. Charged current muon neutrino interactions create an elongated track in the water. Charged and neutral current interactions of other neutrino flavors yield hadronic and electromagnetic cascades. The background in the neutrino cascade channel arises mainly due to discrete stochastic energy losses produced along atmospheric muon tracks. In this paper, a developed algorithm for the cascade event selection is presented.
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