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Behind some of the world’s biggest scientific instruments are teams with a set of skills you can’t find anywhere else.

The federal grants will support University of Chicago, Argonne and Fermilab in their explorations of quantum computing, dark matter, and imaging.

Joel Butler reflects on his time as the CMS spokesperson and what’s next in his long physics career.

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.

This instrument developed for DUNE can take 48 temperatures simultaneously and with expert precision.

High-energy physicists and members of industry will meet face-to-face to brainstorm ideas and participate in the field’s first hands-on quantum computing workshop.

Twenty photos, two detectors, one goal.

For the next two years, the Fermilab physicist will help lead the CMS experiment to push the boundaries of what is possible with the giant particle detector.

Rich Kron and Tom Diehl will lead the sky survey through the close of observations and into an era of full-data analysis.

IOTA, the new test accelerator, gives researchers rich and varied opportunities to dive deep into the physics of particle beams.