CMS

41 - 50 of 116 results

USCMS collaboration gets green light on upgrades to CMS particle detector

The USCMS collaboration has received approval from the Department of Energy to move forward with final planning for upgrades to the giant CMS particle detector at the Large Hadron Collider. The upgrades will enable it to take clearer, more precise images of particle events emerging from the upcoming High-Luminosity LHC, whose collision rate will get a 10-fold boost compared to the collider’s design value when it comes online in 2027.

CMS precisely measures the mass of the Higgs boson

    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.

    Run top quark run

      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.

      USCMS completes phase 1 upgrade program for CMS detector at CERN

      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 glimpse into the future: accelerated computing for accelerated particles

      A new machine learning technology tested by Fermilab scientists and collaborators can spot specific particle signatures among an ocean of LHC data in the blink of an eye, much faster than standard methods. Sophisticated and swift, its performance gives a glimpse into the game-changing role machine learning will play in making future discoveries in particle physics as data sets get bigger and more complex.