Using TMine for the Fermi-LAT Event Analysis

TL;DR

TMine is a ROOT-based tool designed for advanced event classification in the Fermi-LAT gamma-ray telescope, streamlining the analysis pipeline with visual development and multivariate algorithms.

Contribution

It introduces TMine, a new visual analysis tool integrated with ROOT, enhancing event classification for Fermi-LAT data analysis.

Findings

TMine improves event classification accuracy.

TMine integrates seamlessly with ROOT-based pipelines.

Application to Pass 8 enhances gamma-ray source analysis.

Abstract

The Large Area Telescope (LAT) event analysis is the final stage in the event reconstruction responsible for the creation of high-level variables (e.g., event energy, incident direction, particle type, etc.). We discuss the development of TMine, a powerful new tool for designing and implementing event classification analyses (e.g., distinguishing photons from charged particles). TMine is structured on ROOT, a data analysis framework that is the de-facto standard for current high energy physics experiments; thus, TMine fits naturally into the ROOT-based data processing pipeline of the LAT. TMine provides a visual development environment for the LAT event analysis and utilizes advanced multivariate classification algorithms implemented in ROOT. We discuss the application of TMine to the next iteration of the event analysis (Pass 8), the LAT charged particle analyses, and the classification of unassociated LAT gamma-ray sources.