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.
Hewitt, Machine learning for event reconstruction at SNO+, https://indico.ipmu.jp/event/462/contributions/8724/ (Oct
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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.