Unfolding spectral analysis of the Fermi-LAT data

TL;DR

This paper presents a Bayesian unfolding method to accurately reconstruct gamma-ray energy spectra from Fermi-LAT data, accounting for instrument response, and demonstrates its effectiveness on various sources.

Contribution

The paper introduces a novel Bayesian unfolding approach tailored for Fermi-LAT gamma-ray spectral analysis, improving spectral reconstruction accuracy.

Findings

Successful reconstruction of steady and pulsating source spectra

Effective handling of energy dispersion effects

Application to significant test cases shows promising results

Abstract

The Large Area Telescope (LAT) onboard the Fermi satellite is observing the gamma-ray sky in the high energy region, above 20 MeV. We have developed a method to reconstruct the energy spectra of the gamma-rays detected by the Fermi LAT instrument based on a Bayesian unfolding approach, that takes into account the energy dispersion introduced by the instrument response. The method has been successfully applied to reconstruct the energy spectra of both steady and pulsating point sources. The analysis technique will be illustrated and the results obtained in some significant test cases will be discussed.