Beyond the setting of new records, precise knowledge of the luminosity at particle colliders is vital for physics analyses.
EPS-HEP 2021 saw breathtaking results from LHC Run 2, writes Christophe Grojean.
A town-hall meeting initiated a broad and community-driven discussion leading to a final strategy document in two to three years’ time.
As TikTok dethrones Facebook as the most popular app, the Courier explores how high-energy physicists are taking advantage of the social-media phenomenon.
Berkeley Lab’s Cyclotron Road initiative is helping science innovators to translate their ideas into high-impact technologies.
Leaders in artificial-intelligence research spoke to the Courier about what's next for the field, and how developments may impact fundamental science.
Jennifer Ngadiuba and Maurizio Pierini describe how ‘unsupervised’ machine learning could keep watch for signs of new physics at the LHC that have not yet been dreamt up by physicists.
The LHC Olympics and Dark Machines data challenges stimulated innovation in the use of machine learning to search for new physics, write Benjamin Nachman and Melissa van Beekveld.
The workshop attracted more than 300 participants from 45 countries to discuss how the lessons learned in the past two years might help HEP transition to a more sustainable future.
Launched in February 2019, the European Union project ESCAPE is making strides towards an open scientific analysis infrastructure for particle physics and astronomy.