Integral Benchmark Data for Nuclear Data Testing Through the ICSBEP &amp; IRPhEP

Briggs, J. Blair; Bess, John D.; Gulliford, Jim

doi:10.1016/j.nds.2014.04.090

Cited by 23 publications

(8 citation statements)

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“…Such demand could be met, inter alia, by design of specific, for example, replacement or oscillation experiments like ones performed at numerous facilities [25], including MINERVE facility [26], IPEN/MB1 [27], and so on.…”

Section: Methodological Backgroundmentioning

confidence: 99%

“…( 6) and ( 7)). These uncertainties and experimental covariance matrices are resulted from the physics-based evaluation of measurements, as such, and the experimental conditions in the manner similar to what has been implemented in the International Criticality Safety Benchmark Experiments Project(ICSBEP) and the International Reactor Physics Experiments (IRPhE) Project, for example [7,25].…”

Section: Integral Experiments Data and An Evidence-based Backgroundmentioning

confidence: 99%

“…As said, the very basic idea of nuclear data adjustment is an optimized fit of the modeling of nuclear reaction or of nuclear systems to the well-evaluated consistent and credible IEs data [1]. Such simple adjustment requires to use fully representative [2,39] sets of high-fidelity IEs data [25].…”

Section: St Application: Simple Data Adjustmentmentioning

confidence: 99%

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Nuclear data assimilation, scientific basis and current status

Ivanov

Saint-Jean

Sobes

2021

EPJ Nuclear Sci. Technol.

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The use of Data Assimilation methodologies, known also as a data adjustment, liaises the results of theoretical and experimental studies improving an accuracy of simulation models and giving a confidence to designers and regulation bodies. From the mathematical point of view, it approaches an optimized fit to experimental data revealing unknown causes by known consequences that would be crucial for data calibration and validation. Data assimilation adds value in a ND evaluation process, adjusting nuclear data to particular application providing so-called optimized design-oriented library, calibrating nuclear data involving IEs since all theories and differential experiments provide the only relative values, and providing an evidence-based background for validation of Nuclear data libraries substantiating the UQ process. Similarly, it valorizes experimental data and the experiments, as such involving them in a scientific turnover extracting essential information inherently contained in legacy and newly set up experiments, and prioritizing dedicated basic experimental programs. Given that a number of popular algorithms, including deterministic like Generalized Linear Least Square methodology and stochastic ones like Backward and Hierarchic or Total Monte-Carlo, Hierarchic Monte-Carlo, etc., being different in terms of particular numerical formalism are, though, commonly grounded on the Bayesian theoretical basis. They demonstrated sufficient maturity, providing optimized design-oriented data libraries or evidence-based backgrounds for a science-driven validation of general-purpose libraries in a wide range of practical applications.

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Section: Methodological Backgroundmentioning

confidence: 99%

Section: Integral Experiments Data and An Evidence-based Backgroundmentioning

confidence: 99%

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Nuclear data assimilation, scientific basis and current status

Ivanov

Saint-Jean

Sobes

2021

EPJ Nuclear Sci. Technol.

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“…The International Criticality Safety Benchmark Evaluation Project (ICSBEP) [1] provides a compilation of critical and subcritical benchmark experiment data that are maintained and continuously updated by the OECD/Nuclear Energy Agency (NEA) Working Party on Nuclear Criticality Safety (WPNCS). Nuclear data evaluation projects such as JEFF and ENDF/B regularly use these benchmarks to validate their nuclear data libraries.…”

Section: Introductionmentioning

confidence: 99%

JEFF-3.3 covariance application to ICSBEP using SANDY and NDAST

2019

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Providing reliable estimates of the nuclear data contribution to the uncertainty of well-known integral benchmarks is fundamental to the validation and verification process for a nuclear data library. The Nuclear Energy Agency has produced and maintains the NDaST sensitivity tool, which integrates the DICE sensitivities and nuclear data covariances. This system has been used to rigorously and efficiently provide direct feedback to evaluators and streamline validation. For its future evolution and to identify high-priority development areas, NDaST is continuously compared against state-of-the-art codes that use different uncertainty propagation methodologies. In this work, NDaST was compared to the nuclear data sampling code SANDY for several ICSBEP criticality benchmarks using the JEFF-3.3 evaluated data. Despite excellent overall agreement for cross sections and fission neutron multiplcities, discrepancies due to processed covariance descriptions for angular distributions and prompt fission neutron spectra have identified areas where coordinated development of nuclear data covariance descriptions should be prioritised.

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“…Integral benchmarks provide extensively peer-reviewed data that can be used by the international nuclear data community for testing and improvement of nuclear data files and by the international reactor physics, criticality safety, and math & computation communities for validation of analytical methodologies used for reactor physics, fuel cycle, nuclear facility safety analysis and design, and advanced modeling and simulation efforts [Briggs et al, 2014]. , 2017a], which has been created following the pattern of ICSBEP.…”

Section: Validation With Integral Experimentsmentioning

confidence: 99%

Nuclear data analyses for improving the safety of advanced lead-cooled reactors

Otero¹

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BoC Beginning of Cycle BoL Beginning of Life CEA Commissariat à l'Énergie Atomique et aux énergies alternatives CIELO Collaborative International Evaluated Library Organization CLUTCH Contribution-Linked eigenvalue sensitivity/Uncertainty estimation via Track length importance CHaracterization CR Control Rods DA Data Assimilation DAWN Data Assimilation With summoN DICE Database for the International handbook of evaluated Criticality safety benchmark Experiments ENDF Evaluated Nuclear Data File

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Integral Benchmark Data for Nuclear Data Testing Through the ICSBEP & IRPhEP

Cited by 23 publications

References 0 publications

Nuclear data assimilation, scientific basis and current status

Nuclear data assimilation, scientific basis and current status

JEFF-3.3 covariance application to ICSBEP using SANDY and NDAST

Nuclear data analyses for improving the safety of advanced lead-cooled reactors

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