Machine learning proliferates in particle physics
A new review in Nature chronicles the many ways machine learning is popping up in particle physics research.
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A new review in Nature chronicles the many ways machine learning is popping up in particle physics research.
From Brown University, July 18, 2018: Meenakshi Narain will lead the collaboration board for U.S. institutions participating in the CMS experiment at the Large Hadron Collider. Fermilab is the U.S. center for research at CMS.
Lead atoms with a single remaining electron circulated in the Large Hadron Collider.
Machine learning will become an even more important tool when scientists upgrade to the High-Luminosity Large Hadron Collider.
A program funded by the São Paulo Research Foundation supports scientists and students to engage with Fermilab’s neutrino program.
These are the event displays of Large Hadron Collider physicists’ dreams.
From Scientific American, June 6, 2018: Fermilab’s Don Lincoln explains the significance of scientists’ first observation of the famous Higgs boson, responsible for imparting mass, interacting with the heaviest particle in the universe.
A groundbreaking ceremony at CERN celebrates the start of the civil-engineering work for the High-Luminosity LHC. Fermilab is leading the U.S. contribution to the HL-LHC, in addition to building new components for the upgraded detector for the CMS experiment.
From UPI, June 4, 2018: Fermilab Deputy Director Joe Lykken says that “deeply understanding how the Higgs interacts with known particles could help lead us to physics beyond the Standard Model.”