Multi-wavelength MCMC modeling of RCW 38 supports hadronic gamma-ray production with K_ep ≲ 10^{-3} and acceleration efficiency ≳1%, consistent with cosmic-ray composition requirements.
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Supervised ML models achieve R^2 > 0.90 when mapping multi-frequency radio data to 0.1-10 GeV gamma-ray intensity and attribute high-frequency radio bands to hadronic processes and low-frequency bands to leptonic processes.
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A broadband view of the thermal and non-thermal emission from the embedded massive star cluster RCW 38
Multi-wavelength MCMC modeling of RCW 38 supports hadronic gamma-ray production with K_ep ≲ 10^{-3} and acceleration efficiency ≳1%, consistent with cosmic-ray composition requirements.
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Data-driven modeling of Galactic diffuse emission with multi-wavelength observations
Supervised ML models achieve R^2 > 0.90 when mapping multi-frequency radio data to 0.1-10 GeV gamma-ray intensity and attribute high-frequency radio bands to hadronic processes and low-frequency bands to leptonic processes.