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Fermilab receives DOE award to develop machine learning for particle accelerators | US Department of Energy Science News

DOE/Fermi National Accelerator Laboratory The U.S. Department of Energy Office of Science has awarded funding to Fermilab to use machine learning to improve the operational efficiency of Fermilab s particle accelerators. These machine learning algorithms, developed for the lab s accelerator complex, will enable the laboratory to save energy, provide accelerator operators with better guidance on maintenance and system performance, and better inform the research timelines of scientists who use the accelerators. Engineers and scientists at Fermilab, home to the nation s largest particle accelerator complex, are designing the programs to work at a systemwide scale, tracking of all the data resulting from the operation of the complex s nine accelerators. The pilot system will be used on only a few accelerators, with the plan to extend the program tools to the entire accelerator chain.

Cosmological Mysteries - UH Physicists are Asking Big Questions about the Universe

Cosmological Mysteries - UH Physicists are Asking Big Questions about the Universe January 7, 2021 $1.65 Million Grant Will Fund Projects in Neutrino Oscillation You could be forgiven if you haven’t thought much about neutrinos. The subatomic particles are produced by the sun and by stars, moving unnoticed through rock, metal, air – even through people. Lisa Koerner, a particle physicist at UH, is leading a $1.65 million project related to the Deep Underground Neutrino Experiment, known as DUNE. But maybe you should know more about them. International efforts to understand them better could answer one of the enduring mysteries about the nature of the universe: if, as scientists believe, equal amounts of matter and antimatter were created during the Big Bang, why didn’t they cancel each other out, leaving nothing? Instead, matter persisted, and here we are.

In Memoriam: Jack Steinberger, 99 | US Department of Energy Science News

Partner in Nobel Prize-winning Discovery of Muon Neutrino at Brookhaven s Alternating Gradient Synchrotron DOE/Brookhaven National Laboratory Jack Steinberger, who with Leon Lederman and Melvin Schwartz was awarded the 1988 Nobel Prize in physics for their 1962 discovery of the muon neutrino, died on Saturday, December 12, 2020, at his home in Geneva. He was 99. Jack Steinberger was a remarkable man who played a key role in one of the most impactful discoveries in particle physics of the 20th century, said Doon Gibbs, Director of the U.S. Department of Energy s Brookhaven National Laboratory, which is home to the Alternating Gradient Synchrotron (AGS) used in the prize-winning research. It made use of a powerful, then-brand-new accelerator to address a frontier question and is a signature experiment from Brookhaven s early days. We will miss him and send our sincere condolences to his family.

Scientists say farewell to Daya Bay site, proceed with final data analysis

 E-Mail IMAGE: A worker at the Daya Bay Reactor Neutrino Experiment site is perched near a water pool where four large detectors are submerged in this August 2012 photo. view more  Credit: Roy Kaltschmidt/Berkeley Lab The Daya Bay Reactor Neutrino Experiment collaboration - which made a precise measurement of an important neutrino property eight years ago, setting the stage for a new round of experiments and discoveries about these hard-to-study particles - has finished taking data. Though the experiment is formally shutting down, the collaboration will continue to analyze its complete dataset to improve upon the precision of findings based on earlier measurements.

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