Relations between Microwave Bursts and near-Earth High-Energy Proton Enhancements and their Origin
V.V. Grechnev (1), V.I. Kiselev (1), N.S. Meshalkina (1), I.M. Chertok, (2) ((1) Institute of Solar-Terrestrial Physics SB RAS, Irkutsk, Russia, (2), Pushkov Institute of Terrestrial Magnetism, Ionosphere, Radio Wave, Propagation (IZMIRAN), Troitsk, Moscow, Russia)

TL;DR
This study analyzes 25 years of microwave burst data at 35 GHz to understand their relation to near-Earth high-energy proton enhancements, revealing that flare-related processes significantly contribute to proton fluxes and proposing diagnostic relations.
Contribution
It provides new empirical relations linking microwave burst parameters to high-energy proton enhancements, emphasizing the role of flare processes over shock acceleration.
Findings
Higher correlation between microwave and proton fluences than peak fluxes.
Flare processes contribute more to high-energy proton fluxes than shock acceleration.
Proposed empirical diagnostic relations for predicting proton enhancements.
Abstract
We further study the relations between parameters of bursts at 35 GHz recorded with the Nobeyama Radio Polarimeters during 25 years, on the one hand, and solar proton events, on the other hand (Grechnev et al. in Publ. Astron. Soc. Japan 65, S4, 2013a). Here we address the relations between the microwave fluences at 35 GHz and near-Earth proton fluences above 100 MeV in order to find information on their sources and evaluate their diagnostic potential. A correlation was found to be pronouncedly higher between the microwave and proton fluences than between their peak fluxes. This fact probably reflects a dependence of the total number of protons on the duration of the acceleration process. In events with strong flares, the correlation coefficients of high-energy proton fluences with microwave and soft X-ray fluences are higher than those with the speeds of coronal mass ejections. The…
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.
