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.
A new measurement of lepton flavor universality, a key feature of the Standard Model, in decays of the W boson is more precise than all previous measurements combined.
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?
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.
Margaux Lopez is one of a team of engineers preparing the Vera Rubin Observatory in Chile for the arrival of the largest digital camera ever built for astrophysics and cosmology.
In the culmination of a decade’s worth of effort, the DES collaboration of scientists analyzed an unprecedented sample of more than 1,500 supernovae classified using machine learning.
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.
The ATLAS collaboration recently measured the strength of the strong force to a record level of precision, but there’s still a long way to go toward understanding this fundamental force.