Shape correlations in CEνNS allow likelihood and CNN analyses to discriminate sterile neutrinos from NSI and approximately localize sterile parameters in favorable regions.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
hep-ph 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Analytical and Machine Learning Methods for Model Discernment at CE$\nu$NS Experiments
Shape correlations in CEνNS allow likelihood and CNN analyses to discriminate sterile neutrinos from NSI and approximately localize sterile parameters in favorable regions.