A Fermilab family legacy
Steve Tammes’ love of physics began with his grandfather’s tales about Fermilab.
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Steve Tammes’ love of physics began with his grandfather’s tales about Fermilab.
No aspect of Fermilab, past or present — the accomplishments of the Tevatron, the popular Arts and Lecture Series, the education efforts, the world-leading neutrino program — would be what it is today without the contributions of women. This International Women’s Day, we honor their contributions.
In honor of International Women’s Day, Fermilab engineers Mayling Wong-Squires and Farah Fahim share their experience taking part in the laboratory mentorship program. Their ongoing mentor-mentee relationship has bridged the gap from colleague to friend, and that perhaps even wider chasm — from electrical to mechanical engineering.
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.
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.
Higgs-boson pairs could help scientists understand the stability of our universe. The trick is finding them.
Asymmetry in the proton confounds physicists, but a new discovery may bring back old theories to explain it.
Missing visits to the museum? Or in need of some home-school activities? Check out these five do-it-yourself physics demos from Ketevan Akhobadze, an exhibit developer for the Lederman Science Center at Fermilab.
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.
A Fermilab scientist and his team have developed a new way to make antireflective lenses, enabling big discoveries about the cosmic microwave background radiation and the fabric of the universe.