From CERN, Oct. 15, 2019: A new result by the CMS Collaboration narrows down the mass of the Higgs boson to a precision of 0.1%. After reporting the observation of the Higgs boson at the CERN LHC in 2012, scientists the ATLAS and CMS collaborations have been busy understanding exactly its place within the standard model of particle physics. Any straying from expectations could be an indication of new physics.
The 17 CMS physicists selected in a competitive process as Distinguished Researchers for 2020, 14 juniors and three seniors, are accomplished individuals at various stages of their careers. The program provides resources to help strengthen their research programs while contributing to research activities at the LHC Physics Center.
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.
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.