Scientific Computing
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SLAC Research Resumes at Upgraded Large Hadron Collider
SLAC has led the development and implementation of a variety of upgrades to the ATLAS experiment to match the increased discovery potential of an LHC now operating at record proton collision energies.
Spiraling Laser Pulses Could Change the Nature of Graphene
Results from SIMES theorists pave the way for experiments that create and control new forms of matter with light.
Scientists Gather at SLAC to Prepare for Large Synoptic Survey Telescope
Two recent meetings at SLAC brought together experts working on computer hardware and software for LSST – a future telescope that will provide unprecedented views of the sky and may solve some of the biggest mysteries of the universe.
Symmetry: Forecasting the Future
Physicists and other scientists use the GEANT4 toolkit to identify problems before they occur.
Solving Big Questions Requires Big Computation
Understanding the origins of our solar system, the future of our planet or humanity requires complex calculations run on high-power computers.
Symmetry: Coming soon: Plan for the future of US particle physics
The Particle Physics Project Prioritization Panel’s recommendations will set the course for the future of particle physics in the United States.
Data-mining for Crystal 'Gold' at SLAC's X-ray Laser
A new tool for analyzing mountains of data from SLAC’s Linac Coherent Lightsource (LCLS) X-ray laser can produce high-quality images of important proteins using fewer samples. Scientists hope to use it to reveal the structures and functions of proteins that have proven elusive, as well as mine data from past experiments for new information
The Seven Biggest Questions in Particle Astrophysics and Cosmology
SLAC's Kavli Institute for Particle Astrophysics and Cosmology (KIPAC) recently hosted many of the top scientists in the field to discuss the most important questions to confront in the coming decade.
Mock Data, Real Science
In scientific circles, “mock” is not always a four-letter word. To test that they’re interpreting their massive amounts of data correctly, astrophysicists create even more data: “mock” data. And while that may be counterintuitive at first, it actually makes a surprising amount of sense.
XLDB 2013 Examines 'Big Data' Projects
If Benjamin Franklin were alive today, he would likely extend his often-quoted list of life's certainties – death and taxes – to include more and more data. SLAC computer scientist Jacek Becla couldn't agree more. As founder of the Extremely Large Databases (XLDB) conference, which serves people who work with datasets too large or complex for conventional solutions, Becla is intimately aware of the information explosion.
