Unsupervised deep learning with a simplified optical photon transport model in the loss function extracts three PMT calibration constants per tube from background events in the SNO+ detector.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
physics.ins-det 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Data-Driven Calibration of Large Liquid Detectors with Unsupervised Learning
Unsupervised deep learning with a simplified optical photon transport model in the loss function extracts three PMT calibration constants per tube from background events in the SNO+ detector.