Data Analysis, AI and ML III
ORAL · W09 · ID: 50157
Presentations
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Application of machine learning to find anomalous events in the LZ data
ORAL
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Presenters
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Maris Arthurs
- University of Michigan
Authors
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Maris Arthurs
- University of Michigan
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Classifying scintillation and ionization signals in xenon detectors with machine learning
ORAL
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Presenters
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Sophia Farrell
- Rice University
Authors
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Sophia Farrell
- Rice University
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A Novel Method Using Generative Neural Networks for Event Reconstruction in Water Cherenkov Detector
ORAL
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Presenters
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Mo Jia
- Stony Brook University (SUNY)
Authors
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Mo Jia
- Stony Brook University (SUNY)
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Sparse Convolutional Neural Networks for NOνA
ORAL
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Presenters
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Haejun Oh
- University Of Cincinnati
Authors
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Haejun Oh
- University Of Cincinnati
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Reducing sensitivity to systematic uncertainties of the deep neural networks employed in the NOvA experiment
ORAL
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Presenters
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Kevin Mulder
- University College London
Authors
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Kevin Mulder
- University College London
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The Noble Element Simulation Technique (NEST): Recent Updates and Improvements
ORAL
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Presenters
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Matthew M Szydagis
- University at Albany
- U Albany SUNY
Authors
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Matthew M Szydagis
- University at Albany
- U Albany SUNY
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Panoptic Segmentation for Particle Identification in LArTPC Detectors
ORAL
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Presenters
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Carlos E Sarasty
- University Of Cincinnati
Authors
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Carlos E Sarasty
- University Of Cincinnati
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Deep-Learning-Based Kinematic Reconstruction for DUNE
ORAL
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Publication: arXiv preprint arXiv:2012.06181.
Presenters
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Wenjie Wu
- University of California, Irvine
Authors
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Wenjie Wu
- University of California, Irvine
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Anticipating antineutrinos at the Theia detector
ORAL
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Presenters
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Zara Bagdasarian
- University of California, Berkeley
Authors
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Zara Bagdasarian
- University of California, Berkeley
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Stephane Zsoldos
- University of California, Berkeley
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Stephen Dye
- Hawaii Pacific University
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Gabriel D Orebi Gann
- UC Berkeley
- University of California, Berkeley
- LBL
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