Dark SRF experiment at Fermilab demonstrates ultra-sensitivity for dark photon searches
Using superconducting radio frequency cavities, the project set stringent constraints on a theorized particle called the dark photon.
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Using superconducting radio frequency cavities, the project set stringent constraints on a theorized particle called the dark photon.
The award recognizes Marco Del Tutto for his work that enhances the capabilities of the Short Baseline Near Detector, the first stage of data collection along the Short-Baseline Neutrino experiment.
The cryogenic plant, to be installed a mile underground, will provide the cooling for two large liquid-argon neutrino detectors for the international Deep Underground Neutrino Experiment.
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.