Nature’s funhouse mirror: understanding asymmetry in the proton
Asymmetry in the proton confounds physicists, but a new discovery may bring back old theories to explain it.
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Asymmetry in the proton confounds physicists, but a new discovery may bring back old theories to explain it.
From AZoMaterials, Feb. 18, 2021: Fermilab scientist Jeff McMahon and his research team have designed a new kind of metamaterials-based antireflection coating for the silicon lenses used in cameras used to capture the cosmic microwave background.
From Forbes, Feb. 22, 2021: Fermilab scientist Don Lincoln explains how modern cosmology imagines our universe is an astronomical confection with three primary ingredients: ordinary matter, dark matter and dark energy.
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.
From UKRI, Feb. 22, 2021: UKRI scientists are developing vital software to exploit the large data sets collected by the next-generation experiments in high-energy physics. The new software will have the capability to crunch the masses of data that the LHC at CERN and next-generation neutrino experiments, such as the Fermilab-hosted Deep Underground Neutrino Experiment, will produce this decade.
Protecting particle accelerators and developing technology for addressing environmental issues, Arden Warner loves solving problems. He’s also chair of the Fermilab Summer Internships in Science and Technology committee, where he champions mentoring young scientists and working towards a more inclusive culture in science.
From Tech2.org, Feb. 16, 2021: Though the findings from the Holometer mean that, for now, scientists still haven’t found a way to solve general relativity with quantum mechanics, its design and the research it enabled will shape future efforts to prove the intersection of relativity and quantum mechanics at Planck scales.
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.
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.
From Forbes, Feb. 17, 2021: Fermilab scientist Don Lincoln contextualizes the accomplishment of researchers working at the Japan Proton Accelerator Research Complex, or J-PARC. They have made an atomic nucleus that contains an unstable particle called the hyperon, or cascade particle. This could help in understanding neutron stars.