RESONANCE SELF-SHIELDING EFFECT IN UNCERTAINTY QUANTIFICATION OF FISSION REACTOR NEUTRONICS PARAMETERS

RESONANCE SELF-SHIELDING EFFECT IN UNCERTAINTY QUANTIFICATION OF FISSION REACTOR NEUTRONICS PARAMETERS

In order to properly quantify fission reactor neutronics parameter uncertainties, we have to use covariance data and sensitivity profiles consistently. In the present paper, we establish two consistent methodologies for uncertainty quantification: a self-shielded cross section-based consistent metho...

Full description

Bibliographic Details
Main Authors:	GO CHIBA, AMSASHI TSUJI, TADASHI NARABAYASHI
Format:	Article
Language:	English
Published:	Elsevier 2014-06-01
Series:	Nuclear Engineering and Technology
Subjects:	Uncertainty Quantification Covariance Data JENDL-3.3 ERRORJ
Online Access:	http://www.sciencedirect.com/science/article/pii/S173857331530125X

Similar Items

Sensitivity and uncertainty quantification of neutronic integral data in the TRIGA Mark II research reactor
by: M. Makhloul, et al.
Published: (2022-02-01)

Radioactive decay data uncertainties library of isotopes for ABBN constant system
by: D.S. Barabanova, et al.
Published: (2016-03-01)

UQpy v4.1: Uncertainty quantification with Python
by: Dimitrios Tsapetis, et al.
Published: (2023-12-01)

Uncertainty Quantification Spectral Technique for the Stochastic Point Reactor with Random Parameters
by: Safa Alaskary, et al.
Published: (2020-03-01)

Uncertainty quantification and propagation with probability boxes
by: L. Duran-Vinuesa, et al.
Published: (2021-08-01)

Generation and verification of ORIGEN and ORIGEN-S activation cross-section libraries of JENDL-5 and JENDL/AD-2017
by: Chikara KONNO, et al.
Published: (2024-02-01)

IMPACT OF VARIOUS SOURCE OF COVARIANCE INFORMATION ON INTEGRAL PARAMETERS UNCERTAINTY DURING DEPLETION CALCULATIONS WITH CASMO-5
by: Hursin Mathieu, et al.
Published: (2021-01-01)

QUANTIFICATION OF NUCLEAR DATA AND MANUFACTURING UNCERTAINTIES IN VERA
by: Sedota Christopher, et al.
Published: (2021-01-01)

Uncertainty Quantification in Geochemical Mapping: A Review and Recommendations
by: J. Wang, et al.
Published: (2024-03-01)

Uncertainty Quantification in Energy Management Procedures
by: Luca Giaccone, et al.
Published: (2020-09-01)

Uncertainty Quantification in Irreversible Electroporation Simulations
by: Nicholas Labarbera
Published: (2017-05-01)

EVALUATION OF CRITICAL EXPERIMENTS IN THE UNIVERSITY OF WISCONSIN NUCLEAR REACTOR (UWNR) WITH UNCERTAINTY QUANTIFICATION
by: Park Young-Hui, et al.
Published: (2021-01-01)

Uncertainty Quantification at the Molecular–Continuum Model Interface †
by: Małgorzata J. Zimoń, et al.
Published: (2017-03-01)

Neutronics analysis of TRIGA Mark II research reactor
by: Haseebur Rehman, et al.
Published: (2018-02-01)

Machine learning techniques to increase the performance of indirect methane quantification from a single, stationary sensorSynopsis
by: Robert S. Heltzel, et al.
Published: (2022-12-01)

Quantification Method for the Uncertainty of Matching Point Distribution on 3D Reconstruction
by: Yuxia Bian, et al.
Published: (2020-03-01)

Aerodynamic Uncertainty Quantification for Tiltrotor Aircraft
by: Ye Yuan, et al.
Published: (2022-05-01)

Sparsifying priors for Bayesian uncertainty quantification in model discovery
by: Seth M. Hirsh, et al.
Published: (2022-02-01)

Uncertainty quantification and Heston model
by: María Suárez-Taboada, et al.
Published: (2018-07-01)

Uncertainty Quantification Analysis of Exhaust Gas Plume in a Crosswind
by: Carlo Cravero, et al.
Published: (2023-04-01)

Quantification and dosimetry of small volumes including associated uncertainty estimation
by: Lily Carnegie-Peake, et al.
Published: (2022-12-01)

Uncertainty Quantification of Material Properties in Ballistic Impact of Magnesium Alloys
by: Xingsheng Sun
Published: (2022-10-01)

OECD/NEA BENCHMARK FOR UNCERTAINTY ANALYSIS IN MODELING (UAM) FOR LWRS – SUMMARY AND DISCUSSION OF NEUTRONICS CASES (PHASE I)
by: RYAN N. BRATTON, et al.
Published: (2014-06-01)

Uncertainty Quantification When Learning Dynamical Models and Solvers With Variational Methods
by: N. Lafon, et al.
Published: (2023-11-01)

Uncertainty Quantification in Reservoir Simulation Using Modern Data Assimilation Algorithm
by: Tomasz Tuczyński, et al.
Published: (2023-01-01)

TOWARDS OVERCOMING THE CURSE OF DIMENSIONALITY IN PREDICTIVE MODELLING AND UNCERTAINTY QUANTIFICATION
by: Cacuci Dan G.
Published: (2021-01-01)

Uncertainty Quantification of Neural Reflectance Fields for Underwater Scenes
by: Haojie Lian, et al.
Published: (2024-02-01)

Uncertainty quantification in the design of wireless power transfer systems
by: Pei Yao, et al.
Published: (2020-07-01)

Uncertainty quantification with risk measures in production planning
by: Simone Göttlich, et al.
Published: (2020-02-01)

Empirical Frequentist Coverage of Deep Learning Uncertainty Quantification Procedures
by: Benjamin Kompa, et al.
Published: (2021-11-01)

Parameter Uncertainty Quantification in an Idealized GCM With a Seasonal Cycle
by: Michael F. Howland, et al.
Published: (2022-03-01)

An Uncertainty Quantification Framework for Autonomous System Tracking and Health Monitoring
by: Matteo Corbetta, et al.
Published: (2021-03-01)

Recent Advances in Surrogate Modeling Methods for Uncertainty Quantification and Propagation
by: Chong Wang, et al.
Published: (2022-06-01)

Uncertainty Quantification of Methods Used to Measure Methane Emissions of 1 g CH<sub>4</sub> h<sup>−1</sup>
by: Stuart N. Riddick, et al.
Published: (2023-11-01)

Uncertainty Quantification for Infrasound Propagation in the Atmospheric Environment
by: Liang Yu, et al.
Published: (2022-09-01)

Uncertainty Quantification in Classifying Complex Geological Facies Using Bayesian Deep Learning
by: Touhid Mohammad Hossain, et al.
Published: (2022-01-01)

Adaptive Reconstruction of Imperfectly Observed Monotone Functions, with Applications to Uncertainty Quantification
by: Luc Bonnet, et al.
Published: (2020-08-01)

Coupling Design and Validation Analysis of an Integrated Framework of Uncertainty Quantification
by: Bo Pang, et al.
Published: (2023-05-01)

Improved Uncertainty Quantification for Neural Networks With Bayesian Last Layer
by: Felix Fiedler, et al.
Published: (2023-01-01)

Hyperparameter estimation for uncertainty quantification in mesoscale carbon dioxide inversions
by: Lin Wu, et al.
Published: (2013-11-01)