Precision measurements of the electroweak mixing angle are a powerful tool for searching for new phenomena beyond the Standard Model of particle physics.
Though they did not find dark matter, they narrowed the constraints for where it might be and demonstrated a unique approach that may speed up the search for the mysterious substance, at relatively little space and cost.
For more than 20 years in experimental particle physics and astrophysics, machine learning has been accelerating the pace of science, helping scientists tackle problems of greater and greater complexity.
Berkeley Lab researchers are developing an approach to avoid sudden, potentially destructive energy releases in a new generation of superconducting magnets.
Particle Mysteries, a podcast released by the Interactions Collaboration, illuminates the international search for dark matter through conversations with its inquirers.
A scientist tried using machine-learning techniques from particle physics to analyze data from astronomy—and in the process discovered a new exoplanet.
In India, scientists are building a new LIGO detector, enhancing the capabilities of the observatory that reported the first observation of gravitational waves.
The excavation of the caverns that will house the gigantic particle detectors of the Deep Underground Neutrino Experiment in Lead, South Dakota, is complete.