The largest camera ever built for astrophysics has completed the journey to Cerro Pachón in Chile, where it will soon help unlock the Universe’s mysteries.

Machine learning is becoming an essential part of a physicist’s toolkit. How should new students learn to use it?

Physics may seem like its own world, but different sectors using machine learning are all part of the same universe. 

Scientists inside and outside of particle physics and astrophysics are leaning on AI for assistance with complex tasks.

Do you know your convolutional neural networks from your boosted decision trees?

In the coming weeks, Symmetry will explore the ways scientists are using artificial intelligence to advance particle physics and astrophysics—in a series of articles written and illustrated entirely by humans.

Researchers have used the Dark Energy Spectroscopic Instrument to make the largest 3D map of our universe and world-leading measurements of dark energy, the mysterious force behind its accelerating expansion.

Once set in place atop a telescope in Chile, the 3,200-megapixel LSST Camera will help researchers better understand dark matter, dark energy and other mysteries of our universe.

In a new study, SLAC researchers suggest a small-scale solution could be the key to solving a large-scale mystery.

Sensors designed and created at SLAC could help a proposed satellite mission map the X-ray emissions of galaxies with unprecedented precision.

An advisory committee recommends the US work to advance three key areas of emerging accelerator technology.

SLAC experimentalists and theorists collaborate to develop critical detector components, data analysis tools, and theoretical models for the HL-LHC upgrade, which will investigate the Higgs boson and pursue physics beyond the Standard Model.