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.
A program funded by the São Paulo Research Foundation supports scientists and students to engage with Fermilab’s neutrino program.
In a collaborative, cross-laboratory effort, Fermilab’s HEPCloud program enabled NOvA to perform the largest antineutrino data analysis ever in record time.
From The News Recorder, June 6, 2018: Scientists on Fermilab’s NOvA experiment — the world’s largest-baseline neutrino experiment — have detected strong evidence of muon antineutrinos oscillating into electron antineutrinos. Such phenomenon has never been observed before.
From Physics World, June 7, 2018: The best evidence yet that muon antineutrinos can change into electron antineutrinos has been found by the NOvA experiment.
From New Scientist, June 12, 2018: NOvA has confirmed that antineutrinos oscillate, detecting muon antineutrinos morphing into electron antineutrinos with more certainty than we’ve ever had before.
In a new result unveiled at the Neutrino 2018 conference in Heidelberg, Germany, the collaboration has announced its first results using antineutrinos, and has seen strong evidence of muon antineutrinos oscillating into electron antineutrinos.
This neutrino-watchers season preview will give you the rundown on what to expect to come out of neutrino research in the coming years.
The William & Mary professor will help lead the neutrino program into the future.
In particle physics, the target is the site of particle creation. It’s a straightforward role with complex considerations.