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AI in Nuclear Physics Experiments I

INVITED · 1WFA · ID: 1746634

Presentations

  • Machine Learning for Ge-Based Neutrinoless Double-Beta Decay Searches

    ORAL · Invited

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    Publication: Interpretable boosted-decision-tree analysis for the Majorana Demonstrator, (Majorana Collaboration) I.J. Arnquist et al. Phys.Rev.C 107 (2023) 1, 014321, arXiv:2207.10710 [physics.data-an]<br><br>Ad-hoc Pulse Shape Simulation using Cyclic Positional U-Net, A. Li, J.Gruszko, B. Bos, T. Caldwell, E. León et al. Contribution to NeurIPS 2022 arXiv:2212.04950 [physics.ins-det]

    Presenters

    • Julieta Gruszko

      University of North Carolina, University of North Carolina at Chapel Hill

    Authors

    • Julieta Gruszko

      University of North Carolina, University of North Carolina at Chapel Hill

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  • AI in The NEXT Experiment

    ORAL · Invited

    –

    Presenters

    • Corey Adams

      Argonne National Laboratory

    Authors

    • Corey Adams

      Argonne National Laboratory

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  • AI in Streaming DAQ

    ORAL · Invited

    –

    Presenters

    • Jin Huang

      Brookhaven National Laboratory

    Authors

    • Jin Huang

      Brookhaven National Laboratory

    View abstract →