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VR contribution to PPPT nuclear data development: Evaluation of neutron cross section data in the fast energy range: ENR-PRD.MAT.IREMEV.7.1-T003
Uppsala University, Disciplinary Domain of Science and Technology, Physics, Department of Physics and Astronomy, Applied Nuclear Physics.ORCID iD: 0000-0001-5007-2975
Uppsala University, Disciplinary Domain of Science and Technology, Physics, Department of Physics and Astronomy, Applied Nuclear Physics.ORCID iD: 0000-0002-7595-8024
2019 (English)Report (Other academic)
Abstract [en]

Fe56 is an important component in most stainless steels for fusion devices and good knowledge of Fe56 is hence paramount to forecast radiation damage effects.  An exemplary evaluation of neutron-induced reactions of Fe56 in the fast energy region has been performed and an ENDF file created. Experimental data including statistical and systematic uncertainties were extracted from the EXFOR database. Maximum likelihood optimization has been used to automatically correct systematic uncertainties of experimental data. The prior knowledge about admissive variations from the reference specification of energy-dependent TALYS parameters has been modeled as Gaussian processes whose hyperparameters have been adjusted using maximum likelihood optimization. TALYS parameters, both energy dependent and independent, were then adjusted using the Levenberg-Marquardt (LM) algorithm. The diagonal of the inverse Hessian at the posterior mode has been used as parameter covariance matrix. A sample from the multivariate normal parameter posterior distribution was given as input to a modified version of TASMAN. The TASMAN code has then be used in combination with the TEFAL code to produce the final ENDF file including covariance matrices. The work in this task proves the feasibility of the evaluation approach.

Place, publisher, year, edition, pages
2019. , p. 8
National Category
Physical Sciences
Identifiers
URN: urn:nbn:se:uu:diva-396984OAI: oai:DiVA.org:uu-396984DiVA, id: diva2:1369656
Available from: 2019-11-12 Created: 2019-11-12 Last updated: 2019-11-20Bibliographically approved

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