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

The LSST cryostat, now fully assembled, will keep the camera’s image sensors continuously cooled to minus 150 degrees Fahrenheit for crisp, high-sensitivity views of the night skies.

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

As members of the lab’s Computer Science Division, they develop the tools needed to handle ginormous data volumes produced by the next generation of scientific discovery machines.

21 of these "science rafts" will go into the world's largest digital camera for astronomy, which is being assembled and tested at SLAC.

Around the world, scientists and non-scientists alike celebrated the first international Dark Matter Day.

The astrophysicist is recognized for her leadership, mentorship and innovative work in understanding how galaxies form.

SLAC and Stanford researchers demonstrate that brain-mimicking ‘neural networks’ can revolutionize the way astrophysicists analyze their most complex data, including extreme distortions in spacetime that are crucial for our understanding of the universe.

SLAC and Stanford astrophysicists made crucial contributions to the galaxy survey, showing that the universe clumps and expands as predicted by our best cosmological models.