ATLAS Experiment

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June 3, 2021
News Feature
From the invisible world of elementary particles to the mysteries of the cosmos, recipients of this prestigious award for early career scientists explore nature at every level.
Panofsky fellows
May 27, 2021
News Feature
Edward Hohenstein, Emma McBride and Caterina Vernieri study what happens to molecules hit by light, recreate extreme states of matter like those inside stars and planets, and search for new physics phenomena at the most fundamental level.
Early Career Awardees 2021
December 3, 2018
News Feature
During the last four years, LHC scientists have filled in gaps in our knowledge and tested the boundaries of the Standard Model.
Photo LHC Second Season
October 4, 2018
News Feature
A specialized measuring machine at SLAC is helping scientists build precise detectors for the ATLAS experiment.
Measuring machine
August 28, 2018
News Feature
Today the ATLAS collaboration, which includes SLAC physicists, announced with the CMS collaboration the joint discovery of the Higgs boson transforming into bottom quarks as it decays.
August 23, 2018
News Feature
A team of electrical designers develops specialized microchips for a broad range of scientific applications, including X-ray science and particle physics.
Electronics artists
August 7, 2018
News Feature
The event attracted 124 participants and explores the successes and challenges of the theory that describes subatomic particles and fundamental forces.
SSI 2018
August 1, 2018
News Feature
Researchers from SLAC and around the world increasingly use machine learning to handle Big Data produced in modern experiments and to study some of the most fundamental properties of the universe.
Machine Learning in HEP
July 26, 2018
News Feature
Their work will deepen our understanding of matter in extreme conditions and fundamental particle physics.
Panofsky Fellows 2018
June 21, 2018
News Feature
Tais Gorkhover, Michael Kagan, Kazuhiro Terao and Joshua Turner will each receive $2.5 million for research that studies fundamental particles, nanoscale objects, quantum materials and machine learning.
Photos of SLAC's 2018 Early Career Award winners

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