Semi-automatic charge and mass identification in two-dimensional matrices

TL;DR

This paper introduces a semi-automatic method for charge and mass identification in 2D matrices, requiring minimal user input and applicable to various datasets, demonstrated with telescope data.

Contribution

A novel semi-automatic algorithm that efficiently identifies charge and mass in 2D matrices with minimal user interaction and broad applicability.

Findings

Effective in identifying charge and mass in diverse matrices

Requires only two mouse-clicks for initialization

Successfully applied to telescope data from INDRA and FAZIA

Abstract

This article presents a new semi-automatic method for charge and mass identification in two-dimensional matrices. The proposed algorithm is based on the matrix's properties and uses as little information as possible on the global form of the identification lines, making it applicable to a large variety of matrices, including Particular attention has been paid to the implementation in a suitable graphical environment, so that only two mouse-clicks are required from the user to calculate all initialization parameters. Example applications to recent data from both INDRA and FAZIA telescopes are presented.