11 - 20 of 56 results

Tackling big data challenges for next-generation experiments

    From UKRI, Feb. 22, 2021: UKRI scientists are developing vital software to exploit the large data sets collected by the next-generation experiments in high-energy physics. The new software will have the capability to crunch the masses of data that the LHC at CERN and next-generation neutrino experiments, such as the Fermilab-hosted Deep Underground Neutrino Experiment, will produce this decade.

    Coffea speeds up particle physics data analysis

    The prodigious amount of data produced at the Large Hadron Collider presents a major challenge for data analysis. Coffea, a Python package developed by Fermilab researchers, speeds up computation and helps scientists work more efficiently. Around a dozen international LHC research groups now use Coffea, which draws on big data techniques used outside physics.

    National labs band together to build prototype magnet for future and existing light sources

      From Berkeley Lab, Feb. 17, 2021: Fermilab is part of a team of national labs that designed, built and fully tested a prototype magnet for today’s and tomorrow’s light sources. These light sources let scientists see things once thought impossible. They can use these visions to create more durable materials, build more efficient batteries and computers, and learn more about the natural world.