22–25 Aug 2023
Tufts University
America/New_York timezone

Session

Session 2

22 Aug 2023, 13:40
Tufts University

Tufts University

4th Floor Tufts Collaborative Learning and Innovation Center (CLIC) 574 Boston Ave, Medford, MA 02155 Zoom link: https://tufts.zoom.us/j/94932630273?pwd=Z3VSK3A2Tmx2a21uaDdsVHRSenU1dz09 Meeting ID: 949 3263 0273 Passcode: 880336

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  1. Dae Koh (SLAC)
    22/08/2023, 14:10

    The ICARUS T600 detector is a liquid argon time projection chamber (LArTPC) installed at Fermilab, aimed towards a sensitive search for possible electron neutrino excess in the 200-600 MeV region. To investigate numu to nue appearance signals in ICARUS, a fast and accurate algorithm for selecting electron neutrino events from a background of cosmic interactions is required. We present an...

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  2. Omar Alterkait (Tufts University)
    22/08/2023, 14:45
    Individual Talk

    Training neural networks to operate on three-dimensional trajectories from particle detectors is challenging due to the large combinatorial complexity of the data in three dimensions. Using networks that incorporate Euclidian Equivariance could prove to be very beneficial in reducing the need for data augmentation. Our focus is on data from neutrino experiments using liquid argon time...

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  3. Matthew Rosenberg (Tufts University)
    22/08/2023, 15:30
    Individual Talk

    MicroBooNE, a Liquid Argon Time Projection Chamber (LArTPC) located in the $\nu_{\mu}$-dominated Booster Neutrino Beam at Fermilab, has been studying $\nu_{e}$ charged-current (CC) interaction rates to shed light on the measured MiniBooNE low energy excess. The LArTPC technology pioneered by MicroBooNE provides the capability to image neutrino interactions with mm-scale precision. Computer...

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  4. Dr V Hewes (University of Cincinnati)
    22/08/2023, 16:15
    Individual Talk

    We present NuGraph2, a Graph Neural Network (GNN) for reconstruction of liquid argon time projection chamber (LArTPC) data, developed as part of the ExaTrkX project. We discuss the network architecture, a multi-head attention message passing network that classifies detector hits according to the particle type that produced them. By utilizing a heterogeneous graph structure with independent...

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