What’s in the box?
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.
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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.
Artificial-intelligence techniques have been used in experimental particle physics for 30 years, and are becoming increasingly widespread in theoretical physics. Anima Anandkumar and John Ellis explor...
The long-lived particle community marked five years of stretching the limits of searches for new physics with its ninth and best-attended workshop yet.
Over 1000 physicists took part in the ninth Large Hadron Collider Physics conference.
In an attempt to shed light on the neutron-lifetime puzzle, a team at Japan’s KEK laboratory in collaboration with Japanese universities has developed a new experimental setup.
Data from CERN's NA64 experiment place constraints on new particles that might account for the electron g-2 and ATOMKI anomalies.
The ATLAS collaboration recently released a set of results based on the full LHC Run 2 dataset that explore some of the most challenging experimental scenarios involving higgsinos.
The question of making research data findable, accessible, interoperable and reusable is a burning one throughout modern science.
The recent Fermilab result offers a moment to reflect on perseverance and collaboration.
To confidently discover new physics in the muon g−2 anomaly requires that data-driven and lattice-QCD calculations of the Standard-Model value agree, write Thomas Blum, Luchang Jin and Christoph Leh...