1 - 10 of 23 results

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.

With open data, scientists share their work

    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.

    “Evil-genius” neutrino gun could finally unmask the tiniest particles in the universe

      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.

      First major superconducting component for new high-power particle accelerator arrives at Fermilab

      The first major superconducting section of the PIP-II accelerator has come to Fermilab: the first of 23 cryomodules for the future accelerator. The cryomodules’ job is to get the lab’s powerful proton beam up and moving, sending it to higher and higher energies, approaching the speed of light. This first cryomodule also represents a successful joint effort between Argonne National Laboratory and Fermilab to design and produce a critical accelerator component for the future heart of Fermilab.

      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.