GRB duration distribution considering the position of the Fermi

TL;DR

This paper introduces a novel background-filtering technique for Fermi satellite gamma-ray burst data, improving the accuracy of lightcurve analysis by accounting for satellite motion, enabling better statistical studies of GRB durations.

Contribution

A new background separation method based on satellite motion and orientation, tailored for Fermi data, enhancing GRB lightcurve analysis accuracy.

Findings

Effective background removal demonstrated on Fermi data

Improved accuracy in GRB duration distribution analysis

Statistical validation of the new filtering method

Abstract

The Fermi satellite has a particular motion during its flight which enables it to catch the gamma-ray bursts mostly well. The side-effect of this favourable feature is that the lightcurves of the GBM detectors are stressed by rapidly and extremely varying background. Before this data is processed, it needs to be separated from the background. The commonly used methods were useless for most cases of Fermi, so we developed a new technique based on the motion and orientation of the satellite. The background-free lightcurve can be used to perform statistical surveys, hence we showed the efficiency of our background-filtering method presenting a statistical analysis known from the literature.