2023
DOI: 10.1051/epjconf/202328414010
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Managing and Processing Nuclear Data Libraries with FUDGE

Abstract: FUDGE (For Updating Data and Generating Evaluations) is an open-source code that supports reading, visualizing, checking, modifying, and processing nuclear reaction and decay data. For ease of use the front-end of FUDGE is written in Python while C and C++ routines are employed for computationally intensive calculations. FUDGE has been developed primarily at Lawrence Livermore National Laboratory (LLNL) with contributions from Brookhaven National Laboratory (BNL). It is used by the LLNL Nuclear Data and Theory… Show more

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“…The need for a dedicated effort in characterising scattering libraries for thermal neutrons is confirmed by the dedicated session on this topic at the last International Conference on Nuclear Data for Science and Technology. 90 The framework of this conference also suggests how the topic has been historically considered within the nuclear physics domain, although its quintessential character falls across the condensed-matter border, between chemistry and physics. The sharp (academic) division between these disciplines has possibly slowed down the application of thermal cross sections to applied-science and engineering investigations.…”
Section: Availability Of Thermal Neutron Cross Sectionsmentioning
confidence: 99%
“…The need for a dedicated effort in characterising scattering libraries for thermal neutrons is confirmed by the dedicated session on this topic at the last International Conference on Nuclear Data for Science and Technology. 90 The framework of this conference also suggests how the topic has been historically considered within the nuclear physics domain, although its quintessential character falls across the condensed-matter border, between chemistry and physics. The sharp (academic) division between these disciplines has possibly slowed down the application of thermal cross sections to applied-science and engineering investigations.…”
Section: Availability Of Thermal Neutron Cross Sectionsmentioning
confidence: 99%