DUNE

UK musician Consensus spins the big ideas of physics into rap and hip-hop tracks.

Unseen neutrinos, visible lives: A photographer journeys through the Midwest.

Scientists are using a new machine learning tool called sparse convolutional neural networks, or SCNNs, to analyze data faster and more efficiently than ever before. SCNNs are expected to play a critical role in analyzing the data gathered from the upcoming DUNE experiment.

Plans are moving ahead for the liquid nitrogen refrigeration system which will use liquid nitrogen to cool the 17,500 tons of liquid argon that will fill the neutrino detectors at the Long Baseline Neutrino Facility in the Sanford Lab. The system is expected to be built by 2026, and operational underground by the end of 2026 to support the installation of some detector elements, and the operations of the full facility starting in early 2028.

From Pacific Northwest National Laboratory, July 25, 2023: PNNL scientists and a team of university and national laboratory collaborators recently published a paper detailing a new detector design that can be fine-tuned to increase sensitivity to physics beyond the original DUNE concept.

From PNNL, July 25, 2023: PNNL researchers and a team of university and national laboratory collaborators recently published a paper detailing a new detector design that can be fine-tuned to increase sensitivity to physics beyond the original DUNE concept. The new detector, named SLoMo, will enhances DUNE’s sensitivity to neutrinos emitted from sources other than the beam of neutrinos created at Fermilab.

The cryogenic plant, to be installed a mile underground, will provide the cooling for two large liquid-argon neutrino detectors for the international Deep Underground Neutrino Experiment.

From Wired, July 16, 2023: The use of a machine learning tool known as sparse convolutional neural network is now being used by researchers to accelerate real-time data analysis. SCNNs have been used in simulations of the data expected from DUNE and analyzed the simulated data faster than ordinary methods while requiring significantly less computational power.

From CERN, June 13, 2023: Teams at CERN’s Neutrino Platform are currently upgrading and assembling multiple detectors to help large experiments like the Deep Underground Neutrino Experiment to uncover the mysteries of neutrinos. But before the full-size detectors are built, CERN has created the large cryostat modules of the ProtoDUNE experiment. The Neutrino Platform is also an assembly station for the Tokai to Kamioka (T2K) experiment in Japan.

From Quanta Magazine, June 8, 2023: A new novel network called sparse convolutional neural network is helping physicists accelerate the daunting challenge of data analysis. It provides the ability to focus on the relevant parts of data and screen out the rest. This is a historic change for the physics community and learn how it can be used in DUNE when the projects starts data later this decade.