A reconstruction method for neutrino induced muon tracks taking into account the apriori knowledge of the neutrino source

TL;DR

This paper presents a new reconstruction method for neutrino-induced muon tracks that leverages prior knowledge of the neutrino source direction to improve detection efficiency and background suppression in neutrino telescopes.

Contribution

The paper introduces an advanced filtering and prefit technique that incorporates source direction information to enhance muon track reconstruction in neutrino detection.

Findings

Improved track reconstruction accuracy using source direction data.

Significant background suppression achieved with causality filters.

Enhanced detection efficiency for astrophysical neutrino sources.

Abstract

Gamma ray earthbound and satellite experiments have discovered, over the last years, many galactic and extra-galactic gamma ray sources. The detection of astrophysical neutrinos emitted by the same sources would imply that these astrophysical objects are charged cosmic ray accelerators and help to resolve the enigma of the origin of cosmic rays. A very large volume neutrino telescope might be able to detect these potential neutrino emitters. The apriori known direction of the neutrino source can be used to effectively suppress the $^{40}K$ optical background and increase significantly the tracking efficiency through causality filters. We report on advancing filtering and prefit techniques using the known neutrino source direction and first results are presented.