Deep Neural Network Uncertainty Quantification for LArTPC Reconstruction

We evaluate uncertainty quantification (UQ) methods for deep learning applied to liquid argon time projection chamber (LArTPC) physics analysis tasks. As deep learning applications enter widespread usage among physics data analysis, neural networks with reliable estimates of prediction uncertainty a...

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Hauptverfasser:	Koh, Dae Heun, Mishra, Aashwin, Terao, Kazuhiro
Format:	Artikel
Sprache:	eng
Schlagworte:	Physics - High Energy Physics - Experiment
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