Read article 'The Swiss Army knife of beam simulation'
Xsuite drew CERN's fragmented beam-simulation tools into a single framework, used to operate existing colliders, design future ones and model medical accelerators.
Read article 'The most important tool you’ve never heard of'
Commercial software can’t keep pace with experimental precision when it comes to large-scale computer-algebra calculations in quantum field theory.
Read article 'Policymaking with data'
James Robinson reflects on a journey from the ATLAS collaboration to the Environment and Sustainability programme at the Alan Turing Institute.
Read article 'Trigger-level search for dijet resonances'
A trigger-level analysis by the ATLAS collaboration achieved record sensitivity to low-mass particles decaying into quarks or gluons.
Read article 'Neural networks boost B-tagging'
The LHCb collaboration developed an inclusive deep-learning flavour tagger for neutral B-mesons, improving tagging power by up to 35%.
Read article 'Machine learning and the search for the unknown'
The CMS collaboration is employing neural networks to conduct model-independent searches for short-lived particles that could escape conventional analyses.
Read article 'Hidden treasures'
As the LHC surpasses one exabyte of stored data, Cristinel Diaconu and Ulrich Schwickerath call for new collaborations to join a global effort in data preservation.
Read article 'Quantum simulators in high-energy physics'
Enrique Rico Ortega and Sofia Vallecorsa explain how quantum computing will allow physicists to model complex dynamics, from black-hole evaporation to neutron-star interiors.
Read article 'New frontiers in science in the era of AI'
New Frontiers in Science in the Era of AI arrives with a clear mission: to contextualise AI within the long arc of scientific thought and current research frontiers.
Read article 'Accelerators on autopilot'
Verena Kain highlights four ways machine learning is making the LHC more efficient.
