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.
neutrino; hit finding; muon track
|Subcategory||Experimental Methods & Instrumentation|