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.
From UKRI, Feb. 22, 2021: UKRI scientists are developing vital software to exploit the large data sets collected by the next-generation experiments in high-energy physics. The new software will have the capability to crunch the masses of data that the LHC at CERN and next-generation neutrino experiments, such as the Fermilab-hosted Deep Underground Neutrino Experiment, will produce this decade.
From Forbes, Feb. 10, 2021: Fermilab scientist Don Lincoln explains why there should be equal amounts of matter and antimatter in the universe. There aren’t. He discusses several current theories that try to explain the discrepancy. Better understanding this imbalance is an aim of ongoing experiments, such as DUNE, which is being built at Fermilab.
Engineers and technicians in the UK have started production of key piece of equipment for a major international science experiment. The UK government has invested $89 million in the international Deep Underground Neutrino Experiment. As part of the investment, the UK is delivering a series of vital detector components built at the Science and Technology Facilities Council’s Daresbury Laboratory.
A veteran administrator with a love of flowers and true crime, Maxine Hronek draws on three decades of Fermilab experience to keep the international Deep Underground Neutrino Experiment running smoothly behind the scenes — and remind people that science takes the efforts of a whole community of dedicated individuals.
From Avvenire, Jan. 19, 2021: Experiments around the world are working to solve mysteries to which neutrinos could hold the answer. Among them is the international Deep Underground Neutrino Experiment, hosted by Fermilab.
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.