Fermilab features

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One of the DUNE near detector's subdetectors, SAND, will detect neutrinos with an electronic calorimeter, which measures particle energy, and a tracker, which records particle momenta and charge. A second subdetector will use liquid argon to mimic the neutrino interactions in the far detector. The third will use gaseous argon. Working together, they will measure particles with more precision than other neutrino detectors have been able to achieve. Credit: DUNE collaboration

Particle detector at Fermilab plays crucial role in Deep Underground Neutrino Experiment

DUNE’s near detector, located at Fermilab, will take vital measurements of neutrino beam energy and composition before it reaches the experiment’s far detector in South Dakota. Its unmatched precision measurements will offer its own opportunities for the discovery of new physics.

Cryomodules of five different types, one of which is the SSR1 pictured here, boost the energy of the beam. cryomodule, beam, PIP-II, superconducting technology, accelerator Photo: Tom Nicol, Fermilab

Testing wraps up for first Fermilab-designed cryomodule for PIP-II accelerator

A Fermilab team has completed tests for a crucial superconducting segment for the PIP-II particle accelerator, the future heart of the Fermilab accelerator chain. The segment, called a cryomodule, will be one of many, but this is the first to be fully designed, assembled and tested at Fermilab. It represents a journey of technical challenges and opportunities for innovation in superconducting accelerator technology.

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.