Mark Thomson is professor of experimental particle physics at the University of Cambridge and was executive chair of the UK’s Science and Technology Facilities Council (STFC) until his confirmation as CERN’s next Director-General by the CERN Council in December.
Designed and built at Purdue University, the tube will house new inner particle detectors for the CMS experiment, which is being prepared for the high-luminosity upgrade of the Large Hadron Collider.
President Biden recently signed a bicameral resolution that changes the name of Fermilab’s Integrated Engineering Research Center to the Helen Edwards Engineering Center.
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.
In the coming weeks, Symmetry will explore the ways scientists are using artificial intelligence to advance particle physics and astrophysics—in a series of articles written and illustrated entirely by humans.
With just its first year of data, DESI has surpassed all previous 3D spectroscopic maps combined and confirmed the basics of our best model of the universe.
