Needs and Issues of Covariance Data Application

Salvatores, M.; Palmiotti, G.; Aliberti, G.; Hiruta, Hikaru; McKnight, R.D.; Obložinský, P.; Yang, Won Sik

doi:10.1016/j.nds.2008.11.001

Cited by 24 publications

(9 citation statements)

References 8 publications

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“…However, the nuclear data adjustment is following exactly the same assumptions and transformations, starting with equation 3instead of (4). A work has already been done in [17] to consider different experiments for a set of nuclear data, but we want here to give details on the experimental covariance matrix M E and express experimental correlations. In the case where experiments are performed for example on local neutronics parameters such as power factors, or reactivities from different benchmark, the number of experimental results can be important.…”

Section: Extension To Multiple Experimentsmentioning

confidence: 99%

Extension of Bayesian inference for multi-experimental and coupled problem in neutronics − a revisit of the theoretical approach

Frosio

Bonaccorsi

Blaise

2018

EPJ Nuclear Sci. Technol.

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Bayesian methods are known for treating the so-called data re-assimilation. The Bayesian inference applied to core physics allows to get a new adjustment of nuclear data using the results of integral experiments. This theory leading to reassimliation encompasses a broader approach. In previous papers, new methods have been developed to calculate the impact of nuclear and manufacturing data uncertainties on neutronics parameters. Usually, adjustment is performed step by step with one parameter and one experiment by batch. In this document, we rewrite Orlov theory to extend to multiple experimental values and parameters adjustment. We found that the multidimensional system expression looks like can be written as the monodimensional system in a matrix form. In this extension, correlation terms appears between experimental processes (manufacturing and measurements) and we discuss how to fix them. Then formula are applied to the extension to the Boltzmann/Bateman coupled problem, where each term could be evaluated by computing depletion uncertainties, studied in previous papers.

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Section: Extension To Multiple Experimentsmentioning

confidence: 99%

Extension of Bayesian inference for multi-experimental and coupled problem in neutronics − a revisit of the theoretical approach

Frosio

Bonaccorsi

Blaise

2018

EPJ Nuclear Sci. Technol.

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“…The role of nuclear data uncertainties and, in general, of uncertainty quantification has been discussed in a number of references (see [20][21][22]). Work performed in the frame of the Organization for Economic Cooperation and Development/Nuclear Energy Agency (OECD/NEA) [23] has pointed out the impact of nuclear data uncertainties on several innovative reactor systems of the type of those described in paragraph 2.…”

Section: Nuclear Data Uncertainties and Their Impactmentioning

confidence: 99%

Physics challenges for advanced fuel cycle assessment

Salvatores

Aliberti

Palmiotti

2014

Journal of Nuclear Science and Technology

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“…The assessment of Generation IV reactors and advanced fuel cycles requires extensive knowledge of transuranic neutron capture cross sections [1]. Presently, data with smaller uncertainties are needed for a variety of actinide isotopes (Plutonium, Americium, Curium, up to Californium) in order to optimize elements of the nuclear fuel cycle for feasibility studies (e.g.…”

Section: Introductionmentioning

confidence: 99%

Developing laser ablation in an electron cyclotron resonance ion source for actinide detection with AMS

Bauder

Pardo

Kondev

et al. 2015

Nuclear Instruments and Methods in Physics Research Section B:

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A laser ablation material injection system has been developed at the ATLAS electron cyclotron resonance (ECR) ion source for use in accelerator mass spectrometry experiments. Beam production with laser ablation initially suffered from instabilities due to fluctuations in laser energy and cratering on the sample surface by the laser. However, these instabilities were rectified by applying feedback correction for the laser energy and rastering the laser across the sample surface. An initial experiment successfully produced and accelerated low intensity actinide beams with up to 1000 counts per second. With continued development, laser ablation shows promise as an alternative material injection scheme for ECR ion sources and may help substantially reduce cross talk in the source.

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Needs and Issues of Covariance Data Application

Cited by 24 publications

References 8 publications

Extension of Bayesian inference for multi-experimental and coupled problem in neutronics − a revisit of the theoretical approach

Extension of Bayesian inference for multi-experimental and coupled problem in neutronics − a revisit of the theoretical approach

Physics challenges for advanced fuel cycle assessment

Developing laser ablation in an electron cyclotron resonance ion source for actinide detection with AMS

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