CORDIS Project
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This project addresses the data challenges faced by large scientific collaborations at the Large Hadron Collider by developing machine learning tools for data analysis and computing operations. The goal is to enhance the efficiency of data processing in particle physics.
Large international scientific collaborations will face in the near future unprecedented computing and data challenges.
The analysis of multi-PetaByte datasets at CMS, ATLAS, LHCb and Alice, the four experiments at the Large Hadron Collider (LHC), requires a global federated infrastructure of distributed computing resources.
The HL-LHC, the High Luminosity upgrade of the LHC, is expected to deliver 100 times more data than the LHC, with corresponding increase of event sizes, volumes and complexi…
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