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.
Sarah Charley
Sarah Charley is senior writer in the Fermilab Office of Communication.
A former retail worker finds the confidence to pursue a career in STEM thanks to an internship program designed for students at small colleges.
The U.S. Department of Energy has given the green light for the U.S.-funded portion of the upgrades to the CMS experiment at CERN. The massive overhaul will prepare the experiment for the high-luminosity era of particle collisions at the Large Hadron Collider.
One of the big, recent innovations by the CMS collaboration—a new trigger installed in their experiment at the Large Hadron Collider—has produced its first data set. The analysis of this data has started. Scientists expect it will either reveal new physics or set more stringent limits in the search for long-lived particles.
After twenty years of research, development, testing and production, the United States is now shipping state-of-the-art superconducting accelerator magnets to CERN for the high-luminosity upgrade to the Large Hadron Collider. At the heart of these powerful magnets is a new superconducting material used for the first time in a particle accelerator.
About 1,400 people attended the grand opening of CERN’s new science education center.
Results from the ALPHA experiment confirm that matter and antimatter react to gravity in a similar way.
In a race against the clock, CERN engineers and technicians pulled together to find and fix a leak inside the Large Hadron Collider.
During a routine test, two HL-LHC magnets unexpectedly flatlined. Was it just a coincidence, or did they have a common foe?
A theory of everything was all the rage in the 1980s. So where did it go?