SLAC topics

Dark matter RSS feed

One of modern science’s biggest mysteries is dark matter, an invisible form of matter that shapes galaxy rotation and bends rays of light. No one knows what dark matter is, but scientists are carrying out a number of experiments to learn more.

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Physics of the universe
Astrophysics and cosmology

Formation of dark matter structures.

News Feature

SLAC completed its work on ComCam, a commissioning device to be installed in Chile later this year.

LSST-ComCam
News Feature

Building the Large Synoptic Survey Telescope also means solving extraordinary technological challenges.

LSST camera engineering
News Feature

Monika Schleier-Smith and Kent Irwin explain how their projects in quantum information science could help us better understand black holes and dark matter.

QIS-Schleier-Smith-Irwin
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VIA Symmetry Magazine

All hands on deck

Some theorists have taken to designing their own experiments to broaden the search for dark matter.

News Feature

The LSST camera integration and testing team inserted a raft of nine imaging sensors into the body of the ComCam. This miniature version of...

News Feature
VIA Symmetry Magazine

An astronomical data challenge

The Large Synoptic Survey Telescope will track billions of objects for 10 years, creating unprecedented opportunities for studies of cosmic mysteries.

LSST data management.
News Feature

Scientists, including researchers at SLAC, have only just begun to study the remarkably detailed map they created of a portion of the sky.

DES End of Observations
News Feature
VIA Symmetry Magazine

Gravitational lenses

Predicted by Einstein and discovered in 1979, gravitational lensing helps astrophysicists understand the evolving shape of the universe.

News Feature
VIA Symmetry Magazine

The building boom

These projects, selected during the process to plan the future of US particle physics, are all set to come online within the next 10...

Illustration of various science experiments
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Our best model of particle physics explains only about 5 percent of the universe.

News Feature

To keep up with an impending astronomical increase in data about our universe, astrophysicists turn to machine learning.

News Feature

Astrophysicists use a catalog of extended gamma-ray sources spotted by Fermi spacecraft to home in on mysterious properties of deep space.

Fermi extended sources