tailieunhanh - Resonance parameter covariance representation: file32 versus file33

Sensitivity and uncertainty analysis in error propagation studies are carried out based on nuclear data uncertainty information available in the basic nuclear data libraries such as ENDF, JEFF, JENDL and others. | Resonance parameter covariance representation file32 versus file33 EPJ Nuclear Sci. Technol. 4 17 2018 Nuclear Sciences L. Leal published by EDP Sciences 2018 amp Technologies https epjn 2018039 Available online at https REGULAR ARTICLE Resonance parameter covariance representation file32 versus file33 Luiz Leal Institut de Radioprotection et de Sûreté Nucléaire IRSN PSN-EXP SNC 92260 Fontenay-aux-Roses France Received 1 December 2017 Received in final form 25 January 2018 Accepted 28 May 2018 Abstract. Sensitivity and uncertainty analysis in error propagation studies are carried out based on nuclear data uncertainty information available in the basic nuclear data libraries such as ENDF JEFF JENDL and others. The uncertainty files covariance matrices are generally obtained from analysis of experimental data. In the resonance region the computer code SAMMY is used for analyses of experimental data and generation of resonance parameters. In addition to resonance parameters evaluation SAMMY also generates resonance parameter covariance matrices RPCM . The intent of this paper is to discuss the use of the RPCM in contrast to the use of a cross section covariance matrix CSCM representation. For so the resonance evaluation for 48Ti in the resonance range from 10 5 eV to 400 keV is used. The RPCM is translated into two distinct CSCM by using a coarser and a finer group structures. The results are presented and discussions of the feasibility of using these covariance representations are depicted. 1 Introduction generated on the basis of a resolved resonance evaluation carried out for 48Ti. A brief description of the resonance of 48 The objective of a resolved resonance parameters evalua- Ti will be introduced prior to the discussion on the use of tion is to generate parameters which combined with a the CSCM. The paper will examine whether the FILE32 resonance formalism the R-matrix methodology for and FILE33 conversion grants an alternative leading