An efficient hit selection algorithm for muon reconstruction in Baikal-GVD

19 may. 2021 17:40
20m
Valencia

Valencia

VLVnT 2021 | Parallel Session Room A https://cern.zoom.us/j/62997581748
Methods and tools Methods and tools

Ponente

Sr. Alexander Avrorin (INR RAS)

Descripción

The Baikal-GVD is a large scale neutrino telescope being constructed in Lake Baikal. The majority of signal detected by the telescope are noise hits, caused primarily by the luminescence of 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.

Affiliation INR RAS

Autor primario

Sr. Alexander Avrorin (INR RAS)

Materiales de la presentación

Your browser is out of date!

Update your browser to view this website correctly. Update my browser now

×