Gamma/hadron separation in IACTs using 3D EAS variables

TL;DR

This paper introduces a novel gamma/hadron separation method for IACTs that utilizes 3D geometrical variables derived from multiple telescopes to distinguish shower types more effectively.

Contribution

It proposes a new algorithm leveraging 3D shower reconstruction from multiple telescopes to improve gamma/hadron separation in IACT observations.

Findings

Enhanced separation accuracy using 3D variables

Effective use of multi-telescope data for shower analysis

Potential for improved gamma-ray detection sensitivity

Abstract

A new approach to Gamma/Hadron separation algorithms is proposed. The differences between Gamma and Hadron showers are notorious in two main aspects. The first is the wideness of the shower, and the second is the distribution of the angles of emission of Cherenkov photons in respect to the shower main axis. Using more than one IAC telescope, and their respective bi-dimensional images of arrival directions of the Cherenkov photons, the 3D geometrical characteristics of the shower can be reconstructed.