Optical broadening in glass GEMs increases simulated particle track intensity and width by up to 26% and 31%, explaining larger-than-expected signals in GEM-based OTPCs.
Abe, et al., The T2K Experiment, Nucl
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ResNet models classify four particle types and regress vertex, direction, and momentum in Hyper-Kamiokande with resolutions matching likelihood methods but at 30,000-50,000x faster inference on GPU.
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Optical effects in Gaseous Electron Multipliers (GEMs)
Optical broadening in glass GEMs increases simulated particle track intensity and width by up to 26% and 31%, explaining larger-than-expected signals in GEM-based OTPCs.
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Enhancing Event Reconstruction in Hyper-Kamiokande with Machine Learning: A ResNet Implementation
ResNet models classify four particle types and regress vertex, direction, and momentum in Hyper-Kamiokande with resolutions matching likelihood methods but at 30,000-50,000x faster inference on GPU.