Iterative Bayesian Monte Carlo for nuclear data evaluation (original) (raw)

Nuclear data adjustment using Bayesian inference, diagnostics for model fit and influence of model parameters

Jean-Marc Palau

EPJ Web of Conferences, 2020

View PDFchevron_right

Incorporating Experimental Information in the Total Monte Carlo Methodology Using File Weights

H. Sjöstrand

Nuclear Data Sheets, 2015

View PDFchevron_right

Nuclear data evaluation with Bayesian networks

Arjan Koning

2021

View PDFchevron_right

Mapper – a Novel Capability to Support Nuclear Model Validation and Mapping of Biases and Uncertainties

Ugur Mertyurek

Epj Web of Conferences, 2021

View PDFchevron_right

Bayesian approach to model-based extrapolation of nuclear observables

Frederi Viens

Physical Review C

View PDFchevron_right

CONRAD – a code for nuclear data modeling and evaluation

Pierre Tamagno

EPJ Nuclear Sciences & Technologies, 2021

View PDFchevron_right

Treating model defects by fitting smoothly varying model parameters: Energy dependence in nuclear data evaluation

H. Sjöstrand

Annals of Nuclear Energy, 2018

View PDFchevron_right

Bayesian updating for data adjustments and multi-level uncertainty propagation within Total Monte Carlo

Erwin Alhassan

Annals of Nuclear Energy, 2020

View PDFchevron_right

Conservative covariance for general-purpose nuclear data evaluation

Pierre Tamagno

The European Physical Journal A, 2021

View PDFchevron_right

Processing and benchmarking of evaluated nuclear data file/b-viii.0β4 cross-section library by analysis of a series of critical experimental benchmark using the monte carlo code MCNP(X) and NJOY2016

Abdelouahed Chetaine

Nuclear Engineering and Technology, 2017

View PDFchevron_right

Improvements of Nuclear Data and Its Uncertainties by Theoretical Modeling

Anil Prinja

2013

View PDFchevron_right

A New Format for Handling Nuclear Data

Seung-Woo Hong

Journal of the Korean Physical Society, 2011

View PDFchevron_right

Bayesian averaging of computer models with domain discrepancies: a nuclear physics perspective

Vojtech Kejzlar

arXiv: Methodology, 2019

View PDFchevron_right

Development of an automated platform for the verification, testing, processing and benchmarking of Evaluated Nuclear Data at the NEA Data Bank

OSCAR CABELLOS DE FRANCISCO

EPJ Web of Conferences

View PDFchevron_right

Multifaceted coded nuclear data libraries assemblage, verification and validation: TENDL-2019

J. Leppanen

Transactions of the American Nuclear Society - Volume 123

View PDFchevron_right

ITER Neutronics Modeling Using Hybrid Monte Carlo/Deterministic and CAD-Based Monte Carlo Methods

Ahmad Ibrahim

Nuclear Technology, 2011

View PDFchevron_right

Bayesian analysis of inconsistent measurements of neutron cross sections

Kenneth Hanson

2005

View PDFchevron_right

TENDL-2017 : The Making of Multi-Faceted Technological Nuclear Data Library

Arjan Koning

2018

View PDFchevron_right

Applications of the Monte Carlo method in nuclear physics using the GEANT4 toolkit

Mario Menezes

2009

View PDFchevron_right

Optimizing Nuclear Reaction Analysis (NRA) using Bayesian Experimental Design

Thomas Schwarz-selinger

2008

View PDFchevron_right

Conception and Software Implementation of a Nuclear Data Evaluation Pipeline

Arjan Koning

Nuclear Data Sheets, 2021

View PDFchevron_right

WANDA: AI/ML for Nuclear Data

Vladimir Sobes

2020

View PDFchevron_right

Verification of Modern Evaluated Nuclear Data Libraries on the Basis of Integral Experiments Using the RTS&T Code System

Anatoly Blokhin

2018

View PDFchevron_right

NUCLEAR DATA STATISTICAL TREATMENT

Aniseh Abdalla

View PDFchevron_right

Nuclear data uncertainty propagation to integral responses using SANDY

Pierre-Etienne Labeau

Annals of Nuclear Energy, 2017

View PDFchevron_right

Approximate Bayesian Computation applied to Metrology for Nuclear Safeguards Journal of Physics: Conference Series

Tom Burr

Journal of Physics: Conference Series, 2018

View PDFchevron_right

Aggregation of multi-model generated nuclear data using the probability-box approach in random set theory

PRADIP KUMAR SARKAR

2010

View PDFchevron_right

Basic Data, Computer Codes and Integral Experiments: The Tools for Modelling in Nuclear Technology

Enrico Sartori

View PDFchevron_right

car4ams : A program for Bayesian analysis of accelerator mass spectrometry data

Vesa Palonen

View PDFchevron_right

Combining Total Monte Carlo and Benchmarks for nuclear data uncertainty propagation on an LFRs safety parameters

Arjan Koning

arXiv: Nuclear Theory, 2013

View PDFchevron_right

Propagation of statistical and nuclear data uncertainties in Monte Carlo burn-up calculations

Jim Kuijper

Annals of Nuclear Energy, 2008

View PDFchevron_right

The ENSDF_toolbox program package: tool for the evaluator of nuclear data

Alexander Rodionov

arXiv (Cornell University), 2010

View PDFchevron_right

An intercomparison of Monte Carlo codes used for in-situ gamma-ray spectrometry

Santiago Hurtado

Radiation Measurements, 2010

View PDFchevron_right