Issue |
A&A
Volume 660, April 2022
|
|
---|---|---|
Article Number | A129 | |
Number of page(s) | 7 | |
Section | Interstellar and circumstellar matter | |
DOI | https://doi.org/10.1051/0004-6361/202142200 | |
Published online | 29 April 2022 |
Characterization of the Gamma-ray Emission from the Kepler Supernova Remnant with Fermi-LAT
1
AIM, CEA, CNRS, Université Paris-Saclay, Université de Paris,
91191
Gif- sur- Yvette,
France
e-mail: fabio.acero@cea.fr
2
Univ. Bordeaux, CNRS, LP2I Bordeaux,
UMR 5797,
33170
Gradignan, France
Received:
10
September
2021
Accepted:
8
January
2022
The Kepler supernova remnant (SNR) had been the only historic SNR that lacked a detection at GeV and TeV energies, which probe particle acceleration. A recent analysis of Fermi-LAT data reported a likely GeV γ-ray candidate in the direction of the SNR. Using approximately the same data set but with an optimized analysis configuration, we confirm the γ-ray candidate to a solid >6σ detection and report a spectral index of 2.14 ± 0.12stat ± 0.15syst for an energy flux above 100 MeV of (3.1 ± 0.6stat ± 0.3syst) × 10−12 erg cm−2 s−1. The γ-ray excess is not significantly extended and is fully compatible with the radio, infrared, and X-ray spatial distribution of the SNR. We successfully characterized this multiwavelength emission with a model in which accelerated particles interact with the dense circumstellar material in the northwest portion of the SNR and radiate GeV γ rays through π° decay. The X-ray synchrotron and inverse-Compton emission mostly stem from the fast shocks in the southern regions with a magnetic field B ~ 100 μG or higher. Depending on the exact magnetic field amplitude, the TeV γ-ray emission could arise from either the south region (inverse-Compton dominated) or the interaction region (π° decay dominated).
Key words: supernova remnants / cosmic rays / supernovae: individual: Kepler / acceleration of particles / shock waves
© F. Acero et al. 2022
Open Access article, published by EDP Sciences, under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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