Background fitting of Fermi GBM observations
Dorottya Sz\'ecsi, Zsolt Bagoly, J\'ozsef K\'obori, Lajos G. Bal\'azs,, Istv\'an Horv\'ath
TL;DR
This paper introduces a new background fitting method for Fermi GBM data, called DDBF, which accounts for satellite motion and improves analysis of gamma-ray observations.
Contribution
The paper presents the novel Direction Dependent Background Fitting (DDBF) method for Fermi GBM data analysis, enhancing background modeling accuracy.
Findings
DDBF effectively models background variations due to satellite motion.
Preliminary results show improved duration parameter estimates.
Comparison with Fermi Burst Catalog demonstrates method's potential.
Abstract
The Fermi Gamma-ray Burst Monitor (GBM) detects gamma-rays in the energy range 8 keV - 40 MeV. We developed a new background fitting process of these data, based on the motion of the satellite. Here we summarize this method, called Direction Dependent Background Fitting (DDBF), regarding the GBM triggered catalog. We also give some preliminary results and compare the duration parameters with the 2-years Fermi Burst Catalog.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsGamma-ray bursts and supernovae · Particle Detector Development and Performance · Nuclear Physics and Applications