Speaker
Description
Abstract
Large-scale, data-intensive research is no longer exclusive to high energy physics. Astronomy, gravitational wave physics, nuclear physics, and many more scientific fields now face comparable challenges in data management, distributed computing, and virtual research environments. With the technological landscape increasingly evolving towards centralised and specialised facilities, communities that rely on a distributed computing model must build bridges that enable sharing technical solutions while preserving their domain-specific needs.
Driven by the challenges that research infrastructures will increasingly face, and inspired by the Worldwide LHC Computing Grid Data Challenges, more than five research infrastructures (including ET, SKAO, CTAO, and KM3NeT, with support from ATLAS and CMS) joined forces to create a forum for collective learning and shared experience. ESCAPE xRIDGE (European Science Cluster of Astronomy & Particle Physics ESFRI Cross-RI Distributed Grand Exercise) is a coordinated series of data and analysis challenges designed around the scientific and technical priorities of each participating community.
xRIDGE aims to enable infrastructures at different stages of maturity to advance their own goals while leveraging a partly shared infrastructure that provides a common operational environment and fosters a cross-community dialogue, presenting a unified front in interactions with computing centres.
This contribution presents the xRIDGE framework and initial results from the first exercise, carried out at a scale consistent with the data and computing ambitions of the HL-LHC era. The focus is specifically on the concrete progress across participating infrastructures, and on how this collaborative process may establish the foundations of a cross-disciplinary competence centre.
Short Bio
Giovanni Guerrieri is the Data infrastructure for Open Science lead for the ESCAPE collaboration. He earned his PhD with the ATLAS Collaboration before joining CERN IT, where he focuses on Distributed Computing, Analysis Facilities, and Open Data.