Speaker
Description
GALILEE-1 is the new verification and processing system for evaluated data, developed at CEA.
We have already presented in the past the reconstruction and Doppler broadening of cross-sections implemented in the GTREND module of GALILEE-1. The results obtained are of very good quality and we can explain the discrepancies observed with respect to other processing codes such as NJOY and PREPRO. This intensive comparison phase has increased the reliability of the GTREND module. GTREND is already able to handle the R-Matrix Limited format (LRF=7) with a large number of channels in the Resolved Resonance Region (RRR).
The treatment of the Unsolved Resonance Range is a more complex problem because it is difficult to obtain an experimental or theoretical reference to evaluate the different results of the various processing codes. We have chosen to implement two approaches in order to produce usable data for the deterministic and Monte Carlo transport codes, APOLLO3® and TRIPOLI-4® respectively, developed at CEA. These transport codes use URR cross-section data in the form of multi-group probability tables on an energy mesh chosen by the user. This job was previously done by the CALENDF code. The description of these probability tables is different from that of the NJOY PURR module, which produces pointwise probability tables on a coarse energy mesh using an interpolation method.
We will thus present a method that allows us to obtain a random pointwise representation over the whole energy range of URR, and a method similar to that of NJOY with a calculation on some energy points. Both approaches yield multi-group probability tables. Simulations of mono-atomic configurations and criticality benchmark configurations will be studied.
A new feature of the GTREND processing module is the possibility of processing thermal scattering data in a similar way as the THERMR module of NJOY. Some comparisons between GTREND and NJOY will be performed concerning the incoherent inelastic cross-section, the transfer probability density function and the angular distribution. The new capabilities of GTREND will be shown using an optimal processing for H1 bound in ZrH.