An SRF team at Fermilab has demonstrated record performance from an accelerating cavity using a technique that could lead to significant cost savings for future accelerators.
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Recently, the MicroBooNE experiment published a paper describing how they used convolutional neural networks — a particular type of deep neural network — to sort individual pixels coming from images made by a particular type of detector.
A Fermilab accelerator team has designed a device that chops accelerator-generated ion beams under highly demanding conditions.
Measuring a certain parameter of particles emerging from Tevatron collisions helps us better understand how the unified electromagnetic and weak forces broke into separate distinct entities in the universe’s early moments.
Fermilab’s MINERvA experiment gives a boost to the particle physics field by sharpening a model of a frequent, pesky phenomenon.
MiniBooNE scientists discover a way to eliminate a major source of uncertainty in subatomic measurements with muon neutrinos.
Neutral-pion production is a major character in a story of mistaken identity worthy of an Agatha Christie novel.
If you have ever tried to watch a movie or listen to music on a plane, then you know the problem well: The roar of the engines makes it difficult to hear what’s being piped through the speakers — even when those speakers are situated in or on your ear.
MINERvA measures the energy a neutrino imparts to protons and neutrons inside a heavy nucleus.
The PICO experiment homes in on dark matter.