This summer, physicist Larry Lee had festival-goers dancing to the sounds of science. He uses his musical training and an interest in collider machinery to create a new instrument of sorts. Using a piece of standard lab equipment, Lee has created a science-inspired, electronic music-backed light show.
From CERN, Oct. 7, 2019: The CMS collaboration has measured for the first time the variation, or “running,” of the top quark mass. The theory of quantum chromodynamics predicts this energy-scale variation for the masses of all quarks and for the strong force acting between them. Observing the running masses of quarks can therefore provide a way of testing quantum chromodynamics and the Standard Model.
From DOE, Sept. 10, 2019: Fermilab scientist Bo Jayatilaka is quoted in this article on ESnet, which has expanded to connect more than 40 major research institutions at speeds 15,000 times faster than a home network.
The Large Hadron Collider is the world’s largest particle accelerator, known mostly for its discovery of the Higgs boson. The LHC will run for another two decades and will collect an enormous amount of data. In this 11-minute video, Fermilab scientist Don Lincoln explains how Fermilab is heavily involved in the upgrades required to make both the accelerator and the CMS detector a physics discovery powerhouse for the foreseeable future.
The Fermilab LHC Physics Center and Northwestern University recently hosted about 40 participants – experimentalists at the LHC experiments and theorists — for a two-day workshop titled “Multibosons at the Energy Frontier.” Discussions focused on strategies to best exploit the LHC data in the study of multiboson events.
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.
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 Texas Tech Today, Aug. 5, 2019: Texas Tech physicists have been looking for dark matter at the CMS experiment at CERN and studying neutrinos.
A pioneer in particle physics and high-performance computing, Fermilab has launched HEPCloud, a cloud computing service that will enable the lab’s demanding experiments to make the best, most efficient use of computing resources. This flagship project lets experiments rent computing resources from external sources during peak demand, reducing the costs of providing for local resources while also providing failsafe redundancy.