Abstract
The selection, testing, verification and benchmarking of evaluated nuclear data consists, in practice, in putting an evaluated file through a number of checking steps where different computational codes verify that the file and the data it contains complies with different requirements. These requirements range from format compliance to good performance in application cases, while at the same time physical constraints and the agreement with experimental data are verified. At NEA, the NDEC (Nuclear Data Evaluation Cycle) platform aims at providing, in a user friendly interface, a thorough diagnose of the quality of a submitted evaluated nuclear data file. Such diagnose is based on the results of different computational codes and routines which carry out the mentioned verifications, tests and checks. NDEC also searches synergies with other existing NEA tools and databases, such as JANIS, DICE or NDaST, including them into its working scheme. Hence, this paper presents NDEC, its current development status and its usage in the JEFF nuclear data project.
Highlights
In nuclear applications where neutrons, protons, heavy particles/ions, gamma or other ionising radiation are handle, the data which quantify the interaction of these particles/radiation with matter are usually provided by evaluations
We present the NDEC platform, its current status and examples of usage within the JEFF project
Sequence 1 to generate ACE and GENDF format files from evaluations in ENDF-6 format. It makes use of ENDF Checks & Utilities (C&U) codes and PREPRO-2012 for verification of the ENDF-6 file, while NJOY2012.50 is used for processing and generating the processed files
Summary
In nuclear applications where neutrons, protons, heavy particles/ions, gamma or other ionising radiation are handle, the data which quantify the interaction of these particles/radiation with matter are usually provided by evaluations They are the best estimations of such physical magnitudes, merging together the best from experimental data available and physic models. They could be automatized, facilitating their generation to evaluators and their usage to users In this direction, there are different projects ongoing, as summarised in Ref. We highlight those which are open to public (upon demand): ADVANCE [4] and MyENDF [5] Both systems launch automatically a set of processing codes on files submitted, and parse the processing code outputs to inform evaluators/users about the quality of the files, remarking relevant issues identified by the codes. Neutron-induced evaluations are only currently considered in NDEC
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