Abstract
The objective of this paper is to present the work carried out at the French Institut de Radioprotection et de Sûreté Nucléaire (IRSN) to process nuclear data in the unresolved resonance range (URR). Recently, a great deal of effort has been devoted at IRSN to develop an independent nuclear data processing system, GAIA2. First, a nuclear data storing object, independent from the ENDF-6 format, has been implemented in order to transmit information between the components of a module-based scheme. Then, the generation of probability tables in the URR has been added as an independent module named TOP (as Table Of Probability), and tested on a selected set of benchmarks. The methods used and the results are discussed, and some limitations in the manner to construct the tables are pointed out.
Highlights
Institut de Radioprotection et de Sûreté Nucléaire (IRSN) has been looking into improving its nuclear data processing tool, which is called the GAIA2 system
From the obtained set of sampled cross sections, one can derive a probability table which will be used by the Monte-Carlo codes in the unresolved resonance range (URR), to take into account the self-shielding
Several new developments implemented in the IRSN GAIA2 nuclear data processing code have been presented
Summary
IRSN has been looking into improving its nuclear data processing tool, which is called the GAIA2 system. Two main steps have been added toward a full self-supporting system: the development of a nuclear data handler as a set of C++ classes able to store the relevant nuclear data in an independent format, and the generation of probability tables in the unresolved resonance range (URR). The former is briefly mentioned here as it is of interest for the upcoming inclusion of new features. Resonances cannot be distinguished experimentally, resonances parameters are provided as average quantities only, which can be exploited to obtain a distribution probability of cross section values at particular energies, and their representation as probability tables
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