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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.

    One minute with Roshanda Spillers, accelerator electronics technician

    Roshanda Spillers is a lifelong student. With five academic degrees under her belt and more to come, she’s one of the vital lab staff who make sure that the experiments’ electronics are in working order and that the particle accelerators are well-maintained. A new grandmother who’s learning piano while going to school, she encourages those who love science to pursue their dreams relentlessly.