Mu2e

1 - 10 of 17 results

What the heck is a ‘cosmic ray veto detector’? Final large shipment heads to Fermilab

    From University of Virginia Today, March 7, 2023: University of Virginia physicists shipped its last truckload of five large, specialized panels that contain the detector that will form the shell of the international Muon-to-electron Conversion Experiment, or Mu2e experiment. UVA professors, technicians, postdoctoral fellows, graduate students and undergrads have worked on a total of 83 detector modules, each weighing as much as 2,000 pounds, totaling about 160,000 pounds of materials.

    What the heck is a ‘cosmic ray veto detector’? Final large shipment heads to Fermilab

      From University of Virginia Today, March 7, 2023: University of Virginia physicists shipped the last truckload of five large, specialized panels that contain the detector that will form the shell of the international Muon-to-electron Conversion Experiment, or Mu2e experiment. UVA professors, technicians, postdoctoral fellows, graduate students and undergrads have worked on a total of 83 detector modules, each weighing as much as 2,000 pounds, totaling about 160,000 pounds of materials.

      Straws, crystals and the quest for new subatomic physics

      The Mu2e experiment at Fermilab will look for a never-before-seen subatomic phenomenon that, if observed, would transform our understanding of elementary particles: the direct conversion of a muon into an electron. An international collaboration of over 200 scientists is building the Mu2e precision particle detector that will hunt for new physics beyond the Standard Model.

      Engineers and scientists at Fermilab are designing machine learning programs for the lab’s accelerator complex. These algorithms will enable the laboratory to save energy, give accelerator operators better guidance on maintenance and system performance, and better inform the research timelines of scientists who use the accelerators. The pilot system will used on the Main Injector and Recycler, pictured here. It will eventually be extended to the entire accelerator chain. Photo: Reidar Hahn, Fermilab

      Fermilab receives DOE funding to develop machine learning for particle accelerators

      Fermilab scientists and engineers are developing a machine learning platform to help run Fermilab’s accelerator complex alongside a fast-response machine learning application for accelerating particle beams. The programs will work in tandem to boost efficiency and energy conservation in Fermilab accelerators.

      Robert Bernstein still relishes challenge in second stint as Mu2e co-spokesperson

      Bernstein is overseeing the Fermilab Mu2e experiment as it moves from its construction to installation phase and into a running experiment. A collaboration of nearly 250 scientists at 40 institutions that had to invent technology to get to this point, Mu2e is in an exciting phase, especially for early-career researchers who will not only construct the experiment, but also analyze the data.