Abstract

This paper describes the current status of GALILÉE-1 that is the new verification and processing system for evaluated data, developed at CEA. It consists of various components respectively dedicated to read/write the evaluated data whatever the format is, to diagnose inconsistencies in the evaluated data and to provide continuous-energy and multigroup data as well as probability tables for transport and depletion codes. All these components are written in C++ language and share the same objects. Cross-comparisons with other processing systems (NJOY, CALENDF or PREPRO) are systematically carried out at each step in order to fully master possible discrepancies. Some results of such comparisons are provided.

Highlights

  • GALILÉE-1 system, written in C++ language is a new verification and processing system for evaluated data

  • The four calculations performed without probability tables using MCNP and TRIPOLI-4 are in very good agreement which shows a good accuracy for GTREND pointwise cross sections

  • GALILÉE-1 currently allows the production of consistent libraries for pointwise Monte Carlo transport codes (MCNP and TRIPOLI-4)

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Summary

Introduction

GALILÉE-1 system, written in C++ language is a new verification and processing system for evaluated data It is part of a CEA global development program dedicated to fine modelling of nuclear systems. GTREND (GALILÉE TReatment of Evaluated Nuclear Data): dedicated to provide continuous-energy (CE) and multigroup (MG) data as well as probability tables (PT). Additional components, such as interface modules creating consistent libraries for application codes or a convivial and automatic chain for creating these libraries, will be developed later. Thanks to GALION that reads the evaluation or the structure data These objects are checked and possibly corrected by GALVANE and processed data are created by GTREND.

GALILÉE-1 system description
GBASE Objects
GALION module
GALVANE module
GTREND Module
Reconstruction in the resolved resonance range
Results
Linear piecewise reconstruction
Doppler Broadening
BigTen calculation
Conclusions
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