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.
High-intensity particle beams enable researchers to probe rare physics phenomena. A proposed technique called optical stochastic cooling could achieve brighter beams 10,000 times faster than current technology allows. A proof-of-principle experiment to demonstrate OSC has begun at Fermilab’s Integrable Optics Test Accelerator.
From working at the CIA to designing science facilities at Fermilab, Kate Sienkiewicz enjoys tackling complex problems. Currently, she oversees the team tasked with designing and building conventional facilities at the Long-Baseline Neutrino Facility near site for the international Deep Underground Neutrino Experiment — all with the overarching goal of understanding the universe.
David Ibbett, Fermilab’s first guest composer, converts real scientific data into musical notes and rhythms. His latest piece, “MicroBooNE,” will make its world premiere at a virtual concert on Dec. 8. In this audio interview, Ibbett shares a sneak peek of the song and explains his compositional process.
To detect the rare and subtle interactions of dark matter with ordinary matter, the particle detectors for the SuperCDMS experiment must be cooled to temperatures near absolute zero and surrounded by ultrapure copper. From the mine all the way to deployment at SNOLAB, researchers are going to great lengths to ensure the purity of the copper.