Issue |
EPJ Web Conf.
Volume 136, 2017
RICAP16, 6th Roma International Conference on Astroparticle Physics
|
|
---|---|---|
Article Number | 03009 | |
Number of page(s) | 4 | |
Section | Gamma Rays | |
DOI | https://doi.org/10.1051/epjconf/201713603009 | |
Published online | 23 March 2017 |
https://doi.org/10.1051/epjconf/201713603009
The First Fermi-LAT SNR Catalog and Cosmic Ray Implications
1 Istituto Nazionale di Fisica Nucleare, Sezione di Bari
2 Universitá Telematica Pegaso, Piazza Trieste e Trento, 48, 80132 Napoli, Italy
3 NASA/Goddard Space Flight Center
4 University of North Florida
a e-mail: francesco.depalma@ba.infn.it
Published online: 23 March 2017
While supernova remnants (SNRs) are widely thought to be powerful cosmicray accelerators, indirect evidence comes from a small number of well-studied cases. Here we systematically determine the gamma-ray emission detected by the Fermi Large Area Telescope (LAT) from all known Galactic SNRs, disentangling them from the sea of cosmic-ray generated photons in the Galactic plane. Using LAT data we have characterized the 1-100 GeV emission in 279 regions containing SNRs, accounting for systematic uncertainties caused by source misattribution and instrumental response. We classified 30 sources as SNRs, using spatial overlap with the radio emission position. For all the remaining regions we evaluated upper limits on SNRs’ emission. In the First Fermi-LAT SNR Catalog there is a study of the common characteristics of these SNRs, such as comparisons between GeV, radio and TeV quantities. We show that previously satisfactory models of SNRs’ GeV emission no longer adequately describe the data. To address the question of cosmic ray (CR) origins, we also examine the SNRs’ maximal CR contribution assuming the GeV emission arises solely from proton interactions. Improved breadth and quality of multiwavelength (MW) data, including distances and local densities, and more, higher resolution gamma-ray data with correspondingly improved Galactic diffuse models will strengthen this constraint.
© The Authors, published by EDP Sciences, 2017
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.
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