26–30 Aug 2024
Aachen, Germany
Europe/Brussels timezone

Fast end-to-end analysis pipelines for the HL-LHC

26 Aug 2024, 10:40
20m
Aachen, Germany

Aachen, Germany

Erholungs-Gesellschaft Reihstraße 13, 52062 Aachen

Speakers

Alexander Held (University of Wisconsin Madison (US)) Oksana Shadura (University of Nebraska Lincoln (US))

Description

We provide an overview of two ongoing projects that aim to ensure the availability of fast and user-friendly solutions for physics analysis pipelines towards the HL-LHC. The Analysis Grand Challenge (AGC) defines an analysis task that captures relevant physics analysis workflow aspects. A variety of implementations have been developed for this task, allowing to probe user experience and interoperability, and helping to center community discussions around a common benchmark. We will focus on the reference implementation provided by IRIS-HEP, which makes use of many tools in the Python HEP ecosystem and in particular a stack of Scikit-HEP libraries.

A second project started in 2024 with a focus on specifically achieving very large data throughput in a physics analysis context. The project is often referred to by its target, "200 Gbps", for sustaining such a data rate. The project involved a collaboration between many areas of expertise, but we describe the user-facing software aspect of it, which we built with libraries from Scikit-HEP and the surrounding ecosystem.

Authors

Alexander Held (University of Wisconsin Madison (US)) Oksana Shadura (University of Nebraska Lincoln (US))

Presentation materials