Adding an IceTop shower-age variable to a random-forest mass classifier improves simulated cosmic-ray composition resolution slightly, but the validation is self-referential.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
astro-ph.HE 1years
2019 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Cosmic ray composition study using machine learning at the IceCube Neutrino Observatory
Adding an IceTop shower-age variable to a random-forest mass classifier improves simulated cosmic-ray composition resolution slightly, but the validation is self-referential.