For researchers interested in unlocking the mysteries of the universe, having access to the most powerful high-energy accelerator on the planet, a world-class detector, and young, fresh, and enthusiastic minds are a winning combination – and the Fermilab CMS Department has all three.

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.

The new Irradiation Test Area has met a milestone: On Jan. 11, it began transporting a high-intensity proton beam to the very first set of user experiments. The ITA will play a critical role in High-Luminosity LHC projects and others to come. The beginning of operations ushers in a new era of instrumentation development in high-energy physics.

From the CMS collaboration, Nov. 30, 2020: On Nov. 24, the CMS collaboration at CERN’s Large Hadron Collider announced the publication of the 1,000th paper in a peer-review journal, an exceptional achievement for a single experiment. Fermilab scientist Boaz Klima, CMS Publications Committee chair, is quoted.

Scientists working on experiments at the LHC are continually refining our understanding of the fundamental constituents of our universe. Every measurement, every new, uncovered facet of a subatomic particle comes only after a thorough and rigorous analysis of the data. The way they access that data may soon get an upgrade at Fermilab, where CMS collaborators recently installed a new solid-state technology at its computing facility. The technology will complement the standard spinning-disk hard drives that have been the dominant computer storage devices for the last several decades.