An efficient hit finding algorithm for Baikal-GVD muon reconstruction

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    • uploaded July 6, 2021

    Discussion timeslot (ZOOM-Meeting): 15. July 2021 - 18:00
    ZOOM-Meeting URL: https://desy.zoom.us/j/91999581729
    ZOOM-Meeting ID: 91999581729
    ZOOM-Meeting Passcode: ICRC2021
    Corresponding Session: https://icrc2021-venue.desy.de/channel/37-Reconstruction-amp-Analysis-Techniques-NU/126
    Live-Stream URL: https://icrc2021-venue.desy.de/livestream/Discussion-05/6

    Abstract:
    "The Baikal-GVD is a large scale neutrino telescope being constructed in Lake Baikal. The majority of the signals detected by the telescope's photosensors are noise hits, caused primarily by the luminescence in the Baikal water. Separating noise hits from the hits produced by Cherenkov light emitted from the muon track is a challenging part of the muon event reconstruction. We present an algorithm that utilizes a known directional hit causality criterion to construct a graph of hits and then use a clique-based technique to select the subset of signal hits. The algorithm was tested on realistic detector Monte-Carlo simulation for a wide range of muon energies and has proved to select a pure sample of PMT hits from Cherenkov photons while retaining above 90% of original signal."

    Authors: Bair Shaybonov
    Collaboration: Baikal-GVD

    Indico-ID: 720
    Proceeding URL: https://pos.sissa.it/395/1063

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    Presenter:

    Bair Shaybonov


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