Data-Driven Calibration of Large Liquid Detectors with Unsupervised Learning

arXiv:2512.17866v2 Announce Type: replace Abstract: This paper demonstrates a novel method to extract photomultiplier tube (PMT) calibration timing constants in large liquid scintillation detectors from physics data using the machinery of unsupervised deep learning. The approa...

🔗 Read more: https://arxiv.org/abs/2512.17866

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