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Particle physicists are building innovative machine-learning algorithms to enhance Monte Carlo simulations with the power of AI.

A large number of scientists are working on improving the Standard Model prediction of the value of muon g-2 using new data and new lattice calculations. By measuring and calculating this number to ultra-high precision, scientists can test whether the Standard Model is complete.

Using superconducting nanowires and cryogenic electronics, experts from different fields combine their know-how to develop a completely new type of particle detector. The goal: detect particles in ultracold environments, even in the presence of strong magnetic fields where other technologies fail.

During a routine test, two HL-LHC magnets unexpectedly flatlined. Was it just a coincidence, or did they have a common foe?

More than 70% of the excavation of the South Dakota portion of the Long-Baseline Neutrino Facility for the Deep Underground Neutrino Experiment is complete. Preparations for turning the huge caverns into usable laboratory space are underway.

While studying at the University of Manchester, Green analyzed data from a liquid argon neutrino detector at Fermilab, developing new techniques to identify muons that would hint at new particles.

Jonathan Jarvis, head of Fermilab’s Accelerator Research Department, received the University Research Association’s 2023 Early Career Award for his work experimentally demonstrating optical stochastic cooling.

The annual Universities Research Association awards ceremony took place at Fermilab on June 29, recognizing four researchers whose work is done at Fermilab or in collaboration with Fermilab scientists.

Donato Passarelli’s contributions to the advancement of superconducting radio frequency technology over the past decade have earned him the inaugural Universities Research Association’s Engineering Award.

Theoretical astrophysicist Chanda Prescod-Weinstein recently unveiled the Cite Black Women+ in Physics and Astronomy Bibliography.