SLAC National Accelerator Laboratory
Showing 1-20 of 1,672 Results
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Farrington N. Abbott
Digital Media Specialist, SLAC National Accelerator Laboratory
BioI'm a storyteller, filmmaker and mixed media designer. I usually tell stories through video, graphics, audio and animation productions. I also love to ride a bicycle.
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Tom Abel
Professor of Particle Physics and Astrophysics and of Physics
BioWhat were the first objects that formed in the Universe? Prof. Abel's group explores the first billion years of cosmic history using ab initio supercomputer calculations. He has shown from first principles that the very first luminous objects are very massive stars and has developed novel numerical algorithms using adaptive-mesh-refinement simulations that capture over 14 orders of magnitude in length and time scales. He currently continues his work on the first stars and first galaxies and their role in chemical enrichment and cosmological reionization. His group studies any of the first objects to form in the universe: first stars, first supernovae, first HII regions, first magnetic fields, first heavy elements, and so on. Most recently he is pioneering novel numerical algorithms to study collisionless fluids such as dark matter which makes up most of the mass in the Universe as well as astrophysical and terrestrial plasmas. He was the director of the Kavli Institute for Particle Astrophysics and Cosmology and Division Director at SLAC 2013-2018.
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Alex Aiken
Alcatel-Lucent Professor in Communications and Networking and Professor of Particle Physics and Astrophysics and of Photon Science
BioAiken's research focuses on developing techniques for the construction of reliable software systems. His interests include both static and dynamic methods of analyzing programs, and span both detecting errors and verifying the absence of errors in software. Most of his research combines a theoretical component (for example, proving the soundness of an analysis technique) and a practical component, which often involves the implementation and measurement of advanced program analysis algorithms. Finally, his research also extends to the design of new programming languages and programming techniques in which it is easier to write software that can be checked for a wide variety of errors.
