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IRIS-HEP Fellows Presentations 2023

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Description

YouTube: https://youtu.be/AMCEy_tDU50

    • 12:00 PM → 12:15 PM
      Andrii Falko - An RDataFrame implementation for the new Analysis Grand Challenge version 15m

      Mentors:
      Enrico Guiraud (CERN)
      Alexander Held (University of Wisconsin–Madison)

      Andrii Falko
      The RDF AGC.pdf
    • 12:15 PM → 12:30 PM
      Layan AlSarayra - Adapting a Machine Learning Algorithm for Enhanced Performance in ACTS 15m

      Mentors:
      Lauren Tompkins (Stanford University)
      Rocky Bala Garg (Stanford University)

      IRIS-HEP Presentation - Layan AlSarayra.pdf
      Layan AlSarayra
    • 12:30 PM → 12:45 PM
      Refilwe Bua - Novel edge classification architectures for charged particle tracking with graph neural networks 15m

      Mentors:
      Kilian Lieret (Princeton University)
      Gage DeZoort (Princeton University)

      Iris-hep presentation.pdf
      Iris-hep presentation.pptx
      Refilwe Bua
    • 12:45 PM → 1:00 PM
      Oleksii Kiva - Developing an automatic differentiation and initial parameters optimisation pipeline for the particle shower model 15m

      Mentors:
      Lukas Heinrich (TUM)
      Michael Kagan (SLAC)

      IRIS_O_Kiva_2023.pdf
      Oleksii Kiva
    • 1:00 PM → 1:15 PM
      Sambridhi Deo - REANA workflow for Dark Matter Searches 15m

      Mentors:
      Lukas Heinrich (Technical University Munich)
      Matthew Feickert (UW-Madison)
      Amy Roberts (CU Denver)
      Giordon Stark (UC Santa Cruz)

      reana-final.pdf
      REANA Workflow for Dark Matter Searches
      Sambridhi Deo
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