Current assimilation of integral experiments often consists in adjusting multi-group cross sections with feedbacks from critical reference benchmarks. In order to maintain the constraints coming from nuclear models, we present here a method to achieve assimilation of integral experiment on nuclear parameters, from which nuclear data are evaluated. This method, based on Bayesian inference, uses continuous energy reactivity sensitivities to nuclear parameters, throughout all the nuclear data types (cross section, angular distribution, energy distribution, fission multiplicity and spectrum). This improvement was made possible by coupling a stochastic transport code and a nuclear data evaluation code. The study of a test case – the assimilation...
In this annual report we illustrate the methodology of the consistent data assimilation that allows ...
Developments in data assimilation theory allow to adjust integral parameters and cross sections with...
A new approach is proposed, the consistent data assimilation, that allows to link the integral data ...
Current assimilation of integral experiments often consists in adjusting multi-group cross sections ...
Nuclear data used in designing of various nuclear applications (e.g., core design of reactors) is im...
Nuclear data used in designing of various nuclear applications (e.g., core design of reactors) is im...
Recent developments in the Integral Data Assimilation (IDA) methods within Bayesian framework have b...
Simulations of nuclear reactor physics can disagree significantly from experimental evidence, even w...
Nuclear data evaluations on major actinides can be improved by integral data assimilation. Appropria...
International audienceThe use of Data Assimilation methodologies, known also as a data adjustment, l...
International audienceIn this paper, we present three Monte Carlo methods to include integral benchm...
International audienceCritical mass calculations of various HEU-fueled fast reactors result in large...
International audienceCritical mass calculations of various HEU-fueled reactors show there is space ...
Integral experiments can be used to adjust ND-libraries and consequently the uncertainty response in...
In this annual report we illustrate the methodology of the consistent data assimilation that allows ...
Developments in data assimilation theory allow to adjust integral parameters and cross sections with...
A new approach is proposed, the consistent data assimilation, that allows to link the integral data ...
Current assimilation of integral experiments often consists in adjusting multi-group cross sections ...
Nuclear data used in designing of various nuclear applications (e.g., core design of reactors) is im...
Nuclear data used in designing of various nuclear applications (e.g., core design of reactors) is im...
Recent developments in the Integral Data Assimilation (IDA) methods within Bayesian framework have b...
Simulations of nuclear reactor physics can disagree significantly from experimental evidence, even w...
Nuclear data evaluations on major actinides can be improved by integral data assimilation. Appropria...
International audienceThe use of Data Assimilation methodologies, known also as a data adjustment, l...
International audienceIn this paper, we present three Monte Carlo methods to include integral benchm...
International audienceCritical mass calculations of various HEU-fueled fast reactors result in large...
International audienceCritical mass calculations of various HEU-fueled reactors show there is space ...
Integral experiments can be used to adjust ND-libraries and consequently the uncertainty response in...
In this annual report we illustrate the methodology of the consistent data assimilation that allows ...
Developments in data assimilation theory allow to adjust integral parameters and cross sections with...
A new approach is proposed, the consistent data assimilation, that allows to link the integral data ...