Statistical Relationship Between Long-duration High-Energy Gamma-Ray Emission and Solar Energetic Particles
Large solar eruptions are often associated with long-duration gamma-ray emission extending well above 100 MeV. While this phenomenon is known to be caused by high-energy ions interacting with the solar atmosphere, the underlying dominant acceleration process remains under debate. Potential mechanism...
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Zusammenfassung: | Large solar eruptions are often associated with long-duration gamma-ray
emission extending well above 100 MeV. While this phenomenon is known to be
caused by high-energy ions interacting with the solar atmosphere, the
underlying dominant acceleration process remains under debate. Potential
mechanisms include continuous acceleration of particles trapped within large
coronal loops or acceleration at coronal mass ejection (CME)-driven shocks,
with subsequent back-propagation towards the Sun. As a test of the latter
scenario, previous studies have explored the relationship between the inferred
particle population producing the high-energy gamma-rays, and the population of
solar energetic particles (SEPs) measured in situ. However, given the
significant limitations on available observations, these estimates unavoidably
rely on a number of assumptions. In an effort to better constrain theories of
the gamma-ray emission origin, we re-examine the calculation uncertainties and
how they influence the comparison of these two proton populations. We show
that, even accounting for conservative assumptions related to gamma-ray flare,
SEP event and interplanetary scattering modeling, their statistical
relationship is only poorly/moderately significant. However, though the level
of correlation is of interest, it does not provide conclusive evidence for or
against a causal connection. The main result of this investigation is that the
fraction of the shock-accelerated protons required to account for the gamma-ray
observations is >20-40% for six of the fourteen eruptions analyzed. Such high
values argue against current CME-shock origin models, predicting a |
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DOI: | 10.48550/arxiv.2306.14671 |