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Forschungszentrum Karlsruhe in der Helmholz-Gemeinschaft Karlsruhe Institute of Technology Nuclear Data Library for Advanced Systems – Fusion Devices (FENDL-3) Consistent data evaluations for tungsten isotopes including covariances P.Pereslavtsev, A. Konobeyev, U. Fischer Association FZK-Euratom, Forschungszentrum Karlsruhe, Germany
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FENDL-3, IAEA Outline FZK nuclear data evaluation work ◦ Consistence of nuclear data ◦ Quality of the evaluated data Tungsten nuclear data evaluations for energies up to 150 MeV Calculations of covariances for the evaluated cross sections Validation of the new general purpose neutron transport files ◦ TUD measurements on W at FNG ◦ FNG experiment on W
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FENDL-3, IAEA FZK Nuclear data evaluation Nuclear data validation (MCNP5) Uncertainty evaluations Covariance matrix preparation Nuclear data evaluation in FZK
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FENDL-3, IAEA Nuclear data evaluation Covariances and uncertancies Data processingNuclear data validationConsistent evaluation Microscopic cross sections Corrections based on Monte-Carlo method Strict ENDF-6 format Benchmark MCNP calculations Consistent nuclear data evaluation Data file for users
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FENDL-3, IAEA Assurance of evaluated data quality Quality of the microscopic cross sections GNASH and ECIS codes for nuclear model calculations Comparison with experimental data Comparison with available evaluations Correction of the data during covariances calculations Quality of the data representation (format) Use of the standard format checkers NJOY processing Cross check of the evaluated data Quality of the integral data Accurate MCNP transport calculations Evaluated data modifications
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FENDL-3, IAEA Optical model calculations Global OMPs for n, p, d, t, 3 He, from 0.001 to 150 MeV ECIS coupled-channel and DWBA calculations Nuclear data evaluation GNASH, ECIS Experimental data Systematics Available evaluations Covariance matrices calculations Unified Monte Carlo approach (D. Smith) Nuclear model calculations Experimental data Corrections of evaluated data New tungsten evaluations
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FENDL-3, IAEA Resonance parameters Resonance parameters are taken from existing evaluations and checked against recommended data (S.Mughabghab, 2006) Isotope Resolved region Unresolved region 182 W JENDL-3.3ENDF/B-VII 183 W ENDF/B-VII 184 W ENDF/B-VII 186 W ENDF/B-VII Evaluated resolved resonance parameters used are very close to the data by S. Mughabghab
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FENDL-3, IAEA 182 W cross sections evaluations (examples) EAF-2007
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FENDL-3, IAEA 183 W cross sections evaluations (examples)
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FENDL-3, IAEA 184 W cross sections evaluations (examples)
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FENDL-3, IAEA 186 W cross sections evaluations (examples) EAF-2007
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FENDL-3, IAEA Elastic scattering angular distributions
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FENDL-3, IAEA Elastic scattering angular distributions (questions...)
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FENDL-3, IAEA Elastic scattering angular distributions (high energies)
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FENDL-3, IAEA Inelastic scattering angular distributions
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FENDL-3, IAEA Neutron emission spectra (low energy)
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FENDL-3, IAEA Neutron emission spectra (high energy)
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FENDL-3, IAEA IFMIF related data
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FENDL-3, IAEA Gas production data IAEA: p, given in the filesFZK: p, d, t, 3 He, given in the files
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FENDL-3, IAEA Selection and treatment of experimental data Calculations using nuclear models. Evaluation of covariance matrix by Monte Carlo method (D. Smith) Evaluation of data and covariances using experimental data and results of code calculations Recording in ENDF/B format Evaluation of covariances using Monte Carlo approach
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FENDL-3, IAEA Evaluation of cross-sections and covariances using nuclear models Set of “best” model parameters p 0 ={p 01,….p 0M } Result of the calculation s 0 ={s 01,..... s 0N } Choice of parameters by Monte Carlo p k ={p 01 D p k1,,..…,p 0M D p kM } Covariance matrix after K histories for i,j=1,N (energy) Evaluated cross-section
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FENDL-3, IAEA Calculations of uncertainties Uncertainty before and after the use of experimental data
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FENDL-3, IAEA Continuous uncertainty evaluation Evaluated uncertancies for 183 W
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FENDL-3, IAEA Calculations of corelation matrix After nuclear model calculations Final results including experimental data
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FENDL-3, IAEA Calculations of corelation matrix After nuclear model calculations Final results including experimental data
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FENDL-3, IAEA Accounting for experimental data uncertanties Final evaluation
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FENDL-3, IAEA MF=1 General description. MT=451 MF=2 Resonance parameters. MT=151 MF=3 MT=1, 2, 4, 5, 16, 17, 22, 24, 28, 41, 51-70, 91, 102,103, 104, 105, 106, 107 MF=4 Angular distributions. MT=2, 51-70 MF=6 Energy-angular distributions. MT=16,22,28,91, 103- 107 (below 20 MeV), MT=5 (above 20 MeV): particles, photons, recoils MF=12 Photon production multiplicities and transmission probabilities. MT=16,22,24,28,41, 51-70,91,102-107 MF=14 Photon angular distributions. MT=16,22,24,28,41,51- 70,91,102-107 MF=15 Photon energy spectra. MT=16,22,24,28,91,102-107 MF=33 Covariance matrices. MT=1, 2, 4, 5, 16,22,24,28, 91, 102-107 Evaluated files content
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FENDL-3, IAEA Data files processing ENDF-6 format control with standard CHECKERs NJOY99.245 processing done for both evaluations (covariances were not considered) FileIAEAFZK MF3FIZCON complains☺ MF10FIZCON error☺ MF14FIZCON error☺ MF32CHECKR error- MF33FIZCON errorFIZCON complains MF34--
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FENDL-3, IAEA neutrons Tungsten blocks 5 cm 10 cm 15 cm 35 cm FNG tungsten experiment
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FENDL-3, IAEA Results for neutron spectra
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FENDL-3, IAEA Results for photon spectra
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FENDL-3, IAEA C/E flux integrals
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FENDL-3, IAEA MCNP benchmark calculations (reaction rates)
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FENDL-3, IAEA Conclusions Consistent approach for nuclear data evaluations was elaborated in FZK This method includes nuclear data evaluation up to 150 MeV, covariance matrixes calculations for all nuclear reactions presented in the files, nuclear data processing and finally benchmark calculations with MCNP The microscopic evaluated data show good agreement with available experimental data Calculated uncertainties are continuous in full energy range from thermal point to 150 MeV Results of the benchmark calculations show good agreement with measured values The developed approach is going to be applied for angular distributions covariance matrixes calculation
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