A proponent of mentorship and inclusion, Argonne National Laboratory physicist Peter Winter brings his experience with managing and collaborating among the researchers of the Muon g-2 experiment to the position of spokesperson.

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.

Three SAGE alumni talk about their experiences with a program meant to broaden gender diversity in STEM.

From West Suburban Living, July 10, 2023: West Suburban Living magazine interviews Lia Merminga on how she developed an interest in science, who inspired her and her journey from early education to being Fermilab’s first female director.

Researchers look to develop ultra-sensitive, ultra-precise tools that can operate in space on a joint Fermilab and MIT’s Lincoln Laboratory project.

Using superconducting radio frequency cavities, the project set stringent constraints on a theorized particle called the dark photon.

India’s Prime Minister Narendra Modi announced a $140 million in-kind contribution from the Indian Department of Atomic Energy (DAE) towards collaborative development of the Proton Improvement Plan-II Accelerator, for the Long Baseline Neutrino Facility. India will contribute to superconducting research, electromagnets, radio frequency equipment, and other technical components for PIP-II.

The award recognizes Marco Del Tutto for his work that enhances the capabilities of the Short Baseline Near Detector, the first stage of data collection along the Short-Baseline Neutrino experiment.

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.