A New Tool for Faster, More In-Depth Analysis of Nuclear Properties and Mass Data

A New Tool for Faster, More In-Depth Analysis of Nuclear Properties and Mass Data
The two solid lines display the proton dripline (brown) and the neutron dripline (blue) calculated using the microscopic-macroscopic mass model FRDM12. Ten display options for nuclear properties are currently available in Nucleus++. Refer to Nuclear Science Techniques 35:186(2024) for more details.

A significant advancement in nuclear-data analysis has been achieved, which is relevant for several key areas, ranging from particle and nuclear physics to clean energy and healthcare. Researchers have developed a new tool to process nuclear data in a faster and more transparent way, helping to advance technologies that rely on nuclear science.

Mass-excess value differences between experimental data from AME2020 and predictions from mass model FRDM12.
(Top) Nuclear properties of 127Sn for the ground and isomeric states in order of excitation energies. (Bottom) Example illustrating the new features of mass lineage in Nuclues++: the mass of the primary nuclide 127Sn is determined from a Penning-trap mass measurement and three beta-decay end-point energy measurements.

Nuclear data is crucial for advancing our understanding of particle and nuclear physics, as it provides essential information on the properties and interactions of various nuclei and particles. Accurate nuclear data allows researchers to validate theoretical models, leading to more precise descriptions and predictions of nuclear phenomena. By compiling and regularly updating nuclear data, scientists can enhance their ability to decipher fundamental questions about the universe’s building blocks and the forces that govern their behavior, ultimately paving the way for new technological innovations and discoveries.

This development may also contribute to clean energy initiatives, particularly in advancing nuclear fusion research. Innovations in this area could help address energy needs while minimizing impacts on the environment.  

The diverse group includes experts from different fields of nuclear physics. From row, left to right: Meng Wang (IMP), Filip Kondev (ANL), Sarah Naimi (IJCLab), Georges Audi (IJCLab), Wenjia Huang (AEL), Rikel Chakma (ANL), David Lunney (IJCLab), Jinyang Shi (IMP), and Xinliang Yan (IMP).

In healthcare, enhanced nuclear data could refine medical imaging and treatment methods such as radiation therapy, offering more effective options for diagnosing and treating complex diseases.

The software, Nucleus++, developed by the Chinese Academy of Sciences and Advanced Energy Science and Technology Guangdong Laboratory, in collaboration with Université Paris-Saclay and Argonne National Laboratory, integrates nuclear mass data from the AME and nuclear physics properties from NUBASE, providing faster and more in-depth analysis for researchers worldwide.

With collaboration among leading international research institutions, this improved approach for nuclear data analysis will help efforts in energy, healthcare, and space exploration, benefiting people around the world.

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