# A method to unfold the energy spectra of point like sources from the Fermi-LAT data

## TL;DR

This paper introduces a Bayesian unfolding method to accurately reconstruct gamma-ray energy spectra from Fermi-LAT data, demonstrated on simulated sources including steady and pulsating ones.

## Contribution

A novel Bayesian unfolding approach for gamma-ray spectra reconstruction from Fermi-LAT data, applicable to various source types.

## Key findings

- Successfully applied to simulated data
- Reconstructed spectra of steady sources
- Reconstructed spectra of pulsating sources

## Abstract

The Large Area Telescope (LAT) onboard the Fermi satellite is exploring the gamma-ray sky in the energy range above 20MeV. 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. The method has been successfully applied to simulated data sets to reconstruct the energy spectra of both steady and pulsating point sources. The basic ideas and the procedures implemented to evaluate the energy spectra of gamma ray sources will be illustrated, and the results of the application of the method to a typical test case will be shown.