About 2,200 people took part in hands-on science activities, performances, lectures and exhibits at Sanford Underground Research Facility's Neutrino Day celebration this year.
Theoretical physicists use machine-learning algorithms to speed up difficult calculations and eliminate untenable theories—but could they transform what it means to make discoveries?
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.
The Particle Physics Project Prioritization Panel recently recommended, among their top priorities for the next decade, moving forward with two experiments based at the South Pole.
The excavation of the caverns that will house the gigantic particle detectors of the Deep Underground Neutrino Experiment in Lead, South Dakota, is complete.
The United Kingdom will eventually contribute three assembled cryomodules—known as HB650 for the radio frequency they use to operate—to Fermilab’s new particle accelerator.
In Her Space, Her Time, physicist Shohini Ghose elucidates the stories of women scientists who contributed to and led some of the biggest breakthroughs in astronomy and physics.
In the culmination of a US community planning process that began in late 2020, the High Energy Physics Advisory Panel has approved the recommendations of the P5 Report.