IRIS-HEP Fellows Presentations 2023

Wednesday 18 Oct 2023, 12:00 → 13:40 US/Eastern

YouTube: https://youtu.be/AMCEy_tDU50

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

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

Andrii Falko

The RDF AGC.pdf

12:15 → 12:30 Layan AlSarayra - Adapting a Machine Learning Algorithm for Enhanced Performance in ACTS

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

IRIS-HEP Presentation - Layan AlSarayra.pdf

Layan AlSarayra

12:30 → 12:45 Refilwe Bua - Novel edge classification architectures for charged particle tracking with graph neural networks

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

Iris-hep presentation.pdf

Iris-hep presentation.pptx

Refilwe Bua

12:45 → 13:00 Oleksii Kiva - Developing an automatic differentiation and initial parameters optimisation pipeline for the particle shower model

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

IRIS_O_Kiva_2023.pdf

Oleksii Kiva

13:00 → 13:15 Sambridhi Deo - REANA workflow for Dark Matter Searches

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