Cosmic Ray e^+/(e^- + e^+) and pbar/p Ratios Explained by an Injection Model Based on Gamma-ray Observations
S.-H. Lee (1), T. Kamae (1), L. Baldini (2), F. Giordano (3,4), M.-H., Grondin (5), L. Latronico (2), M. Lemoine-Goumard (5), C. Sgr\'o (2), T., Tanaka (1), Y. Uchiyama (1)

TL;DR
This paper introduces a cosmic ray injection model based on recent gamma-ray observations of supernova remnants and pulsar wind nebulae, successfully explaining observed positron and antiproton ratios without speculative sources.
Contribution
The model uniquely integrates gamma-ray observational data into cosmic ray injection and propagation modeling, reducing reliance on hypothetical sources.
Findings
Reproduces positron fraction and antiproton-to-proton ratio accurately.
Identifies a discrepancy in the total electron and positron spectrum below 20 GeV.
Estimates key Galactic cosmic ray parameters like energy injection and lifetime.
Abstract
We present a model of cosmic ray injection into the Galactic space based on recent gamma-ray observations of supernova remnants (SNRs) and pulsar wind nebulae (PWNe) by the Fermi Large Area Telescope and imaging atmospheric Cherenkov telescopes. Steady-state (SS) injection of nuclear particles and electrons (e^-) from the Galactic ensemble of SNRs, and electrons and positrons (e^+) from the Galactic ensemble of PWNe are assumed, with their injection spectra inferred under guidance of gamma-ray observations and recent development of evolution and emission models. The ensembles of SNRs and PWNe are assumed to share the same spatial distributions. Assessment of possible secondary CR contribution from dense molecular clouds interacting with SNRs is also given. CR propagation in the interstellar space is handled by GALPROP. Different underlying source distribution models and Galaxy halo…
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.
