Search for Early Gamma-ray Production in Supernovae Located in a Dense Circumstellar Medium with the Fermi LAT
M. Ackermann, I. Arcavi, L. Baldini, J. Ballet, G. Barbiellini, D., Bastieri, R. Bellazzini, E. Bissaldi, R. D. Blandford, R. Bonino, E., Bottacini, T. J. Brandt, J. Bregeon, P. Bruel, R. Buehler, S. Buson, G. A., Caliandro, R. A. Cameron, M. Caragiulo, P. A. Caraveo

TL;DR
This study systematically searched for gamma-ray emissions from 147 supernovae in dense circumstellar media using Fermi LAT data, finding no significant signals but setting upper limits and constraining models of gamma-ray production.
Contribution
First comprehensive gamma-ray search for supernovae in dense CSM with Fermi LAT, providing flux limits and constraining theoretical models of cosmic ray acceleration.
Findings
No significant gamma-ray excess detected from any supernova.
Established flux upper limits for individual and combined sources.
Derived constraints on gamma-ray luminosity and proton injection spectra.
Abstract
Supernovae (SNe) exploding in a dense circumstellar medium (CSM) are hypothesized to accelerate cosmic rays in collisionless shocks and emit GeV gamma rays and TeV neutrinos on a time scale of several months. We perform the first systematic search for gamma-ray emission in Fermi LAT data in the energy range from 100 MeV to 300 GeV from the ensemble of 147 SNe Type IIn exploding in dense CSM. We search for a gamma-ray excess at each SNe location in a one year time window. In order to enhance a possible weak signal, we simultaneously study the closest and optically brightest sources of our sample in a joint-likelihood analysis in three different time windows (1 year, 6 months and 3 months). For the most promising source of the sample, SN 2010jl (PTF10aaxf), we repeat the analysis with an extended time window lasting 4.5 years. We do not find a significant excess in gamma rays for any…
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.
