
Rapid developments in precision predictions
Achieving a theoretical uncertainty of only a few per cent in the measurement of physical observables is a vastly challenging task in the complex environment of hadronic collisions.
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Achieving a theoretical uncertainty of only a few per cent in the measurement of physical observables is a vastly challenging task in the complex environment of hadronic collisions.
Data on strokes is plentiful but fragmented, making it difficult to exploit in data-driven treatment strategies.
Findable, Accessible, Interoperable and Reusable: the sixth symposium of the European Open Science Cloud (EOSC) attracted over 1,000 participants.
Experts in data analysis, statistics and machine learning for physics came together from 9 to 12 September for PHYSTAT’s Statistics meets Machine Learning workshop.
By parking events triggered by a single muon, CMS collected an inclusive sample of approximately 10 billion b-hadrons in 2018.
As the harvest of data from the LHC experiments continues to increase, so does the required number of simulated collisions.
A new five-year-long project aims to accelerate novel computing, engineering and scientific ideas for the ATLAS and CMS upgrades.
The European Union project Open Web Search aims to provide an unbiased and transparent alternative to commercial search engines.
AI tools developed for particle physics could also be game-changers in nuclear fusion, astrophysics, computer science and biology.
Volker Lindenstruth goes behind the scenes of a completely new computing model that allows the ALICE collaboration to merge online and offline data processing into a single software framework.