From Washington Post, Aug. 31, 2019: The social media network is packed with great science photos, and the grand­daddy of all labs, CERN, also runs a behemoth of an Insta feed. The world’s largest particle physics lab, CERN is home to the Large Hadron Collider, a mammoth particle accelerator that is surprisingly photogenic.

The Cherenkov Telescope Array will combine experimental and observatory-style approaches to investigate the universe’s highest energies.

Ketevan Akhobadze moved to Fermilab from the country of Georgia and found a new home. She now creates exhibits as a tool to introduce the public to the exciting science done at Fermilab.

Engineers at Fermilab have shown that sometimes, to reshape the metal heart of a particle accelerator, what you need is a balloon. The new, patented technique is a novel solution to a problem that affects an essential component of accelerators: superconducting cavities.

The funding supports initiatives in the rapidly evolving field of quantum computing. Fermilab scientists and engineers are simulating advanced quantum devices that will in turn improve particle physics simulations. They’re also developing novel electronics to work with large arrays of ultracold qubits.

For years, U.S. institutions have been working to upgrade the hardware in the behemoth CMS particle detector at the Large Hadron Collider, enabling it to profit fully from the LHC’s increasing collision energy and intensity. With CD-4 approval, the Department of Energy formally recognized that the USCMS collaboration, managed by Fermilab, met every stated goal of the upgrade program — on time and under budget.

A holography class at the Ohio State University combines art and physics to provide a more complete picture of how we understand the world around us.

In science, making data open means making available, free of charge, the observations or other information collected in a scientific study for the purpose of allowing other researchers to examine it for themselves, either to verify it or to conduct new analyses. There are barriers to making scientific data open, but doing so has already contributed to scientific progress.

From MIT News, Aug. 19, 2019: A new prototype machine-learning technology co-developed by Fermilab and MIT scientists speeds Large Hadron Collider data processing by up to 175 times over traditional methods.

From Live Science, Aug. 19, 2019: The international Deep Underground Neutrino Experiment, hosted by Fermilab, is first in this list of important upcoming neutrino experiments. Both the Fermilab accelerator complex and the giant underground detector will enable scientists to study perhaps the most underrated particles known to humankind.