Machine learning proliferates in particle physics

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A new review in Nature chronicles the many ways machine learning is popping up in particle physics research.

Rise of the machines

Machine learning will become an even more important tool when scientists upgrade to the High-Luminosity Large Hadron Collider.

The LHC’s computing revolution

Making new discoveries may require writing new software first.

Fermilab computing experts bolster NOvA evidence, 1 million cores consumed

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In a collaborative, cross-laboratory effort, Fermilab’s HEPCloud program enabled NOvA to perform the largest antineutrino data analysis ever in record time.

ADIOS and BigData Express offer new data streaming capabilities

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Oak Ridge and Fermilab developers are changing the way researchers can transport and analyze data, using a new methodology that allows for compressing and streaming of data coming out of simulations in real time.

Learning to speak quantum

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Particle physicists are studying ways to harness the power of the quantum realm to further their research.

Neural networks for neutrinos

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Scientists are using cutting-edge machine-learning techniques to analyze physics data.

From left: Donatella Torretta, Bill Badgett and Angela Fava fine tune the White Rabbit synchronization system for the Fermilab Short-Baseline Neutrino Program. Photo: Reidar Hahn

Timing neutrinos with White Rabbit

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Particle detectors won’t be late, be late for a very important date.

Burt Holzman is one of 14 Fermilab employees who visited local schools for Hour of Code in December. Holzman visited second- through fifth-grade classrooms at Wolf’s Crossing Elementary School in Aurora.

Fermilab Computing partners with Argonne, local schools for Hour of Code

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As part of Computer Science Education Week on Dec. 4-10, Fermilab partnered with Argonne National Laboratory on an initiative to bring Hour of Code activities and coding role models to local schools.

Fermilab joins CERN openlab, works on ‘data reduction’ project with CMS experiment

From CERN Openlab, Nov. 22, 2017: Physics data reduction helps ensure researchers gain valuable insights from the vast amounts of particle collision data produced by CMS. Fermilab scientist Oliver Gutsche and colleagues will look at investigate techniques based on Apache Spark, a popular open-source software platform.