Machine learning will become an even more important tool when scientists upgrade to the High-Luminosity Large Hadron Collider.
computing
Making new discoveries may require writing new software first.
In a collaborative, cross-laboratory effort, Fermilab’s HEPCloud program enabled NOvA to perform the largest antineutrino data analysis ever in record time.
Sexton-Kennedy remembers watching “Powers of Ten” when she was in middle school. The film explores physics at the very largest cosmological scales all the way down to elementary particle physics and ignited her interest in the field.
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.
Particle physicists are studying ways to harness the power of the quantum realm to further their research.
Scientists are using cutting-edge machine-learning techniques to analyze physics data.
Particle detectors won’t be late, be late for a very important date.
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.
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.