Instrumentation VIII: Software

Presentations

• Machine Learning Extraction of Tensor Polarization in Spin-1 Observables

  ORAL

  Oct. 20, 2025, 10:30 AM – Oct. 20, 2025, 10:42 AM

  Presenters

  • Devin Allen Seay

    University of Virginia

  Authors

  • Devin Allen Seay

    University of Virginia

  • Dustin Keller

    University of Virginia

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• Machine Learning Approaches for Background Modeling and Dimuon Classification in the SpinQuest Experiment

  ORAL

  Oct. 20, 2025, 10:42 AM – Oct. 20, 2025, 10:54 AM

  Presenters

  • Forhad Hossain

    University of Virginia

  Authors

  • Forhad Hossain

    University of Virginia

  • Dustin Keller

    University of Virginia

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• Tracking and Machine Learning in MUSE

  ORAL

  Oct. 20, 2025, 10:54 AM – Oct. 20, 2025, 11:06 AM

  Presenters

  • Kyle J Salamone

    Stony Brook University (SUNY)

  Authors

  • Kyle J Salamone

    Stony Brook University (SUNY)

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• Refinement of AI-assisted Track Reconstruction and Particle Identification for CLAS12 ALERT Experiment at Jefferson Lab

  ORAL

  Oct. 20, 2025, 11:06 AM – Oct. 20, 2025, 11:18 AM

  Presenters

  • Mathieu Ouillon

    Mississippi State University

  Authors

  • Mathieu Ouillon

    Mississippi State University

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• AI Driven Optimal Control Systems in Nuclear Physics Experiments

  ORAL

  Oct. 20, 2025, 11:18 AM – Oct. 20, 2025, 11:30 AM

  Presenters

  • Jordan D Roberts

    University of Virginia

  Authors

  • Jordan D Roberts

    University of Virginia

  • Dustin M Keller

    University of Virginia

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• Geant4 Simulations of a Tungsten-Copper Faraday Cup for Electron Beam Charge Measurement in Tensor-Polarized Experiments at Jefferson Lab Hall C

  ORAL

  Oct. 20, 2025, 11:30 AM – Oct. 20, 2025, 11:42 AM

  Presenters

  • Hector Chinchay Espino

    University of New Hampshire

  Authors

  • Hector Chinchay Espino

    University of New Hampshire

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• Improvements to Data Analysis Tools used in ARIS

  ORAL

  Oct. 20, 2025, 11:42 AM – Oct. 20, 2025, 11:54 AM

  Publication: [1] D. Kaloyanov, SpecTk : Tcl/tk-based spectrum viewer, https://lise.frib.msu.edu/spectk.html (2025).<br>[2] R. Fox, SpecTcl user guide (v5.0), https://docs.frib.msu.edu/daq/newsite/spectcl-5.0/UserGuide/index.html.<br>[3] O. B. Tarasov and D. Bazin, Nuclear Instruments and Methods B 376, 185 (2016), https://lise.nscl.msu.edu.<br>[4] O. B. Tarasov, LISE for excel, https://lise.frib.msu.edu/excel.html (2024).

  Presenters

  • Daniel Kaloyanov

    Michigan State University

  Authors

  • Daniel Kaloyanov

    Michigan State University

  • Oleg B. Tarasov

    Michigan State University

  • Brad Sherrill

    Michigan State University

  View abstract →