Congratulations to Lee Bernstein and Brian Quitter, part of the Physical Sciences Area staff members who have received 2023 Berkeley Lab Director’s Awards.
Making Rad Maps With Robot Dogs
In 2013, researchers carried a Microsoft Kinect camera through houses in Japan’s Fukushima Prefecture. The device’s infrared light traced the contours of the buildings, making a rough 3D map. On top of this, the team layered information from an early version of a hand-held gamma-ray imager, displaying the otherwise invisible nuclear radiation from the Fukushima Daiichi Nuclear Power Plant accident.
The Nuclear Science Division helps roll out the U.S. 2023 Long Range Plan for Nuclear Science
The Nuclear Science Division hosted a launch event for the U.S. 2023 Long Range Plan for Nuclear Science on Friday, October 6, one of over 20 simultaneous events held across the country at various Nuclear Science Advisory Committee (NSAC) participating organizations.
200 Scouts Head for the Hill this Saturday
Berkeley Lab will host the 11th annual Nuclear Science Day for Scouts this Saturday, Sept. 30. Learn how boys and girls will get hands-on experience from a cadre of volunteers, including Lab physicist Alan Poon, who was at the first event in 2009 as a way to give back to the community.
2024 DNP Dissertation Award Awarded to Evan Rule
Evan Rule, a former graduate student in the UC Berkeley Physics Department has been awarded the 2024 Dissertation Award in Nuclear Physics by the American Physical Society (APS). Dr. Rule conducted his graduate research at UC Berkeley under the supervision of Prof. Wick Haxton who is a faculty member in the UC Berkeley Physics Department, and a Faculty Senior Scientist in LBNL’s Nuclear Science Division.
Dr. Rule, who is currently a postdoctoral fellow at the Network for Neutrinos, Nuclear Astrophysics, and Symmetries (N3AS), received the award “For the timely development of a flexible and fully general effective theory of muon-to-electron conversion. The formulation establishes an interface between the nuclear and particle physics components of this process that will encourage coordination between the two communities.“
Further details can be found in the APS announcement here.
New DOE funding for AI/ML projects in the Nuclear Science Division
Berkeley Lab’s Nuclear Science Division has received two Department of Energy (DOE) funding awards for two-year projects focused on artificial intelligence and machine learning (AI/ML).
A collaboration of Nuclear Science Division (NSD) scientists from the Low-Energy Nuclear Physics, 88” Cyclotron, and Applied Nuclear Physics programs will develop new methods to optimize a large gamma-ray spectrometer and an ion source for low-energy nuclear physics. The primary goal of this project is to explore the best applications of ML approaches and data analytics techniques to automate online optimization and tuning during operation, building on an existing ML project, started in 2021.
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