Issue |
EPJ Web Conf.
Volume 319, 2025
RICAP-24, 9th Roma International Conference on Astroparticle Physics
|
|
---|---|---|
Article Number | 08006 | |
Number of page(s) | 4 | |
Section | Parallel Session: Astrophysical Multimessenger Techniques & Observations | |
DOI | https://doi.org/10.1051/epjconf/202531908006 | |
Published online | 06 March 2025 |
https://doi.org/10.1051/epjconf/202531908006
Numerical modelling with analytical estimation of the free parameter space of GRB afterglows: The case of GRB 221009A
1 Department of Physics, University of Rome Tor Vergata, Via della Ricerca Scientifica 1, 00133 Rome, Italy
2 INFN Rome Tor Vergata, Via della Ricerca Scientifica 1, 00133 Rome, Italy
3 INFN Padova, Via Marzolo 8, 35131 Padova, Italy
* e-mail: claudio.gasbarra@roma2.infn.it
Published online: 6 March 2025
On date 9th of October 2022, an exceptionally bright Gamma-Ray Burst, GRB 221009A, was detected by several observatories, both ground- and space-based. It has been the highest flux Gamma-Ray Burst ever observed, with an energy Eiso ∼ 1055erg, and its detection was followed by many studies. In our work, we model the very high energy (E> 100 GeV) afterglow light curve published by the LHAASO Collaboration using a numerical modelling and an analytical approach to constrain the Gamma-Ray Burst free parameter space. The light curve in the (0.3 - 5) TeV range, as detected by LHAASO, shows a simple broken power law shape, with the peak around ∼11 s after the trigger. We estimated the afterglow parameters using a Maximum Likelihood Estimation followed by a Markov-Chain Monte Carlo. In this way, we obtain the fiducial confidence intervals. We found some interesting preliminary results about the parameter distributions, in reasonable agreement with other studies.
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.