PIP-II

31 - 40 of 83 results

Caldwell manufactures transport frame for cryomodules

    From Engineering Update, January 6, 2022: Illinois-based Caldwell Group Inc. has customized a lifting frame that may be used in the summer of 2022 during transatlantic transportation of cryomodules to Fermilab for the Proton Improvement Program II (PIP-II) project. STFC-UKRI in the UK designed and assembled the lifting frame to meet impact, vibration, lifting, and transport load requirements in both the United States and Europe.

    Two women stand side by side looking at an image of a red vessel in front of a long science experiment that takes up the rest of the photo. The woman with gray hair, on the right, and the woman with long brown hair on the left both hold the document with both hands.

    Successful tests pave the way for Fermilab’s next-generation particle accelerator

    This spring testing wrapped up at the PIP-II Injector Test Facility, or PIP2IT. The successful outcome paves the way for the construction of PIP-II, a new particle accelerator that will power record-breaking neutrino beams and drive a broad physics research program at Fermilab for the next 50 years.

    Cryomodules of five different types, one of which is the SSR1 pictured here, boost the energy of the beam. cryomodule, beam, PIP-II, superconducting technology, accelerator Photo: Tom Nicol, Fermilab

    Testing wraps up for first Fermilab-designed cryomodule for PIP-II accelerator

    A Fermilab team has completed tests for a crucial superconducting segment for the PIP-II particle accelerator, the future heart of the Fermilab accelerator chain. The segment, called a cryomodule, will be one of many, but this is the first to be fully designed, assembled and tested at Fermilab. It represents a journey of technical challenges and opportunities for innovation in superconducting accelerator technology.

    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.