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IRIS-HEP AGC Demonstration 2023

US/Central
Discovery Building

Discovery Building

330 N Orchard St, Madison, WI 53715, Madison, WI (United States)
Alexander Held (University of Wisconsin Madison (US)), Brian Paul Bockelman (University of Wisconsin Madison (US)), Kyle Stuart Cranmer (University of Wisconsin Madison (US)), Oksana Shadura (University of Nebraska Lincoln (US))
Description

What is this event?

The Analysis Grand Challenge (AGC) demonstration event is a half-day workshop, hosted on 14 September at the Morgridge Institute for Research and the University of Wisconsin–Madison's Data Science Institute. It aims to bring together experts and all those interested in the IRIS-HEP AGC execution milestone and its results. Meetings will be held in hybrid mode at the Discovery Building of Morgridge Institute for Research and the Data Science Institute.

Attending the workshop in Madison

All sessions will be held in the Discovery Building of Morgridge Institute for Research and the Data Science Institute.

Please see this dedicated page for information related to travel and accommodation. We have also prepared a convenient map with key places and food options.

Connecting remotely via Zoom

A Zoom connection is also available: you can access the link via the timetable on the left, make sure you are logged into indico to see it.

IRIS-HEP Institute Retreat

On Sep 11-13, just before this AGC demonstration event, the IRIS-HEP Institute Retreat is taking place at UW-Madison: https://indico.cern.ch/e/iris-hep-retreat-2023. Please find more information and a registration form for that event on the dedicated agenda.

What is the AGC?

The AGC is a project organized by IRIS-HEP and partners. It defines physics analysis tasks at realistic scale and complexity, including the handling of systematic uncertainties, binned statistical analysis, reinterpretation, and end-to-end optimization, with a focus on techniques envisioned for use at the HL-LHC. The AGC also provides implementations addressing those tasks, making use of new and advanced analysis tools developed by the community in the Python ecosystem. It relies on the development of the required cyberinfrastructure to be executed at scale.

Registration
Registration
Participants
  • A F
  • Alexander Held
  • Aman Desai
  • Andrew Naylor
  • Andrew Wightman
  • Benjamin Galewsky
  • Brian Hua Lin
  • Brian Paul Bockelman
  • Clemens Lange
  • David Lange
  • David Martin Koch
  • Diego Davila
  • Doug Benjamin
  • Elise Chavez
  • Elliott Kauffman
  • Enrico Guiraud
  • Fengping Hu
  • Gordon Watts
  • Harvey Newman
  • Ianna Osborne
  • Ilija Vukotic
  • Ilona Zubrytska
  • Jayjeet Chakraborty
  • Jerry 🦑 Ling
  • Kenneth Bloom
  • Lincoln Bryant
  • Marc Tost
  • Maria Acosta Flechas
  • Mark Neubauer
  • Marta Czurylo
  • Mason Proffitt
  • Matthew Drnevich
  • Matthew Feickert
  • Matyas Selmeci
  • Mohamed Elashri
  • Monica Dessole
  • Nicholas Manganelli
  • Oksana Shadura
  • Pratyay Banerjee
  • Samuel Albin
  • Vincenzo Eduardo Padulano