Studying the stars with machine learning
To keep up with an impending astronomical increase in data about our universe, astrophysicists turn to machine learning.
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To keep up with an impending astronomical increase in data about our universe, astrophysicists turn to machine learning.
Three new studies show the promise and challenge of using plasma wakefield acceleration to build a future electron-positron collider.
A specialized measuring machine at SLAC is helping scientists build precise detectors for the ATLAS experiment.
Photographers from Italy, the UK and Canada won professional and public votes.
Behind some of the world’s biggest scientific instruments are teams with a set of skills you can’t find anywhere else.
Particle physicists and astrophysicists employ a variety of tools to avoid erroneous results.
SuperCDMS physicists are testing a way to amp up dark matter vibrations to help them search for lighter particles.
Scientists looking for tiny particles off the coast of Italy stumble upon a much bigger research subject.
This instrument developed for DUNE can take 48 temperatures simultaneously and with expert precision.