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Rubin Observatory/LSSTCam RSS feed

The NSF-DOE Vera C. Rubin Observatory and the SLAC-built LSST Camera image the visible southern sky over and over for a decade, creating a vast archive of data that will advance our knowledge of dark energy and dark matter.

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LSST Camera: World’s largest camera for astrophysics

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Vera C. Rubin Observatory LSST Camera Focal Plane Build 158
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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...

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

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

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

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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...

Neural Nets and Gravitational Lenses
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KIPAC scientists have for the first time used artificial neural networks to analyze complex distortions in spacetime, called gravitational lenses, demonstrating that the method...

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

Blanco Telescope
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The raft is part of the sensor array that will make up the crucial camera segment of the telescope.

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Two astrophysicists and a theoretical physicist discuss how the Large Synoptic Survey Telescope will probe the nature of dark matter and dark energy by...

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Using Twinkles, the new simulation of images of our night sky, scientists get ready for a gigantic cosmological survey unlike any before.

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VIA Symmetry Magazine

2016 year in particle physics

Scientists furthered studies of the Higgs boson, neutrinos, dark matter, dark energy and cosmic inflation and continued the search for undiscovere

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VIA Symmetry Magazine

Deep Learning Takes on Physics

Can the same type of technology Facebook uses to recognize faces also recognize particles?