The 1st Fermi Lat Supernova Remnant Catalog
Fabio Acero, Markus Ackermann, Marco Ajello, Luca Baldini, Jean, Ballet, Guido Barbiellini, Denis Bastieri, Ronaldo Bellazzini, E. Bissaldi,, Roger Blandford, E. D. Bloom, Raffaella Bonino, Eugenio Bottacini, J., Bregeon, Philippe Bruel, Rolf Buehler, S. Buson, G. A. Caliandro

TL;DR
This paper presents the first systematic survey of supernova remnants at 1-100 GeV energies using Fermi LAT data, classifying likely SNRs, estimating errors, and analyzing their contribution to Galactic cosmic rays.
Contribution
It introduces a comprehensive GeV survey of SNRs, develops methods to estimate systematic errors, and combines multiwavelength data to improve models of SNR emissions.
Findings
Identified 30 likely GeV SNRs
Estimated an upper limit of 22% on false associations
Highlighted the need for improved emission models
Abstract
To uniformly determine the properties of supernova remnants (SNRs) at high energies, we have developed the first systematic survey at energies from 1 to 100 GeV using data from the Fermi Large Area Telescope. Based on the spatial overlap of sources detected at GeV energies with SNRs known from radio surveys, we classify 30 sources as likely GeV SNRs. We also report 14 marginal associations and 245 flux upper limits. A mock catalog in which the positions of known remnants are scrambled in Galactic longitude, allows us to determine an upper limit of 22% on the number of GeV candidates falsely identified as SNRs. We have also developed a method to estimate spectral and spatial systematic errors arising from the diffuse interstellar emission model, a key component of all Galactic Fermi LAT analyses. By studying remnants uniformly in aggregate, we measure the GeV properties common to these…
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