Improving Neutrino Point Source Sensitivity with Source-Informed Event Selection
Jeffrey Lazar, Carlos A. Arg\"uelles, Pavel Zhelnin

TL;DR
This paper introduces a source-informed event selection method for neutrino telescopes that prioritizes events near known source directions, significantly improving sensitivity with minimal additional computational cost.
Contribution
It proposes a simple modification to event selection that leverages known source locations to enhance neutrino point source detection sensitivity.
Findings
Median point source sensitivity improved by factors of 2-3.
Modest computational overhead of 7-14% for catalogs of about 100 sources.
Method effectively enhances discovery potential without new detector hardware.
Abstract
Neutrino telescopes employ multi-level reconstruction chains, where computationally expensive high-quality reconstructions are applied only to events that survive initial quality cuts based on fast, coarse directional estimates. Currently, event selection between reconstruction levels is source-agnostic, giving no priority to events from directions of known neutrino source candidates. We propose a simple modification to inter-level event selection: preferentially retain events whose early-level reconstruction places them within an angular tolerance of pre-specified candidate source directions from established multi-messenger catalogs, while continuing to subsample remaining events at the baseline rate. Using a realistic two-level detector model with energy-dependent angular resolution, we show that this source-informed selection can improve median point source sensitivity by factors of…
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