14 September 2023
Discovery Building
US/Central timezone

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.

Starts
Ends
US/Central
Discovery Building
330 N Orchard St, Madison, WI 53715, Madison, WI (United States)
Registration
Registration for this event is currently open.