Speaker
Description
Abstract: The high-energy physics (HEP) community is preparing to address the computing challenges of the coming decade. The upgrade program of the Large Hadron Collider at CERN (HL-LHC) will generate an unprecedented volume and complexity of data, requiring advanced solutions for processing, analysis, archiving, and simulation. In parallel, other HEP experiments, such as DUNE, will enter their data-taking phase with novel workflows that demand substantial computing support. The recent update of the European Strategy for Particle Physics recommends a circular electron–positron collider (FCC-ee) at the TeV scale as the next flagship of the CERN scientific program following the HL-LHC. The community is assessing the computing landscape needed for the generation of HEP projects such as FCC-ee. This contribution provides an overview of the current state of the art in HEP computing, outlines the steps required to meet the HL-LHC computing challenges, and offers a forward-looking perspective on the post–HL-LHC era. It also highlights common computing challenges shared with other scientific domains and explores potential synergies.
Speaker Bio: Simone Campana is a senior staff member at CERN. Simone obtained his PhD in Particle Physics at the University of California in 2003 and has worked in distributed computing projects since then. He was the project leader of the Data Management system of the ATLAS experiment at CERN, responsible for ATLAS distributed computing, and the ATLAS Software and Computing Coordinator from 2015-2017. Simone was then deputy project leader of the WLCG project from 2018-2020 and then project leader from 2020 to 2025. Simone is now the head of the Information Technology department at CERN