Published January 2015
| Version v1
Journal article
Bayesian Monte Carlo Method for Nuclear Data Evaluation
Creators
Description
A Bayesian Monte Carlo method is outlined which allows a systematic evaluation of nuclear reactions using TALYS. The result will be either an EXFOR-weighted covariance matrix or a collection of random files, each accompanied by an experiment based weight
Availability note (English)
Available from http://dx.doi.org/10.1016/j.nds.2014.12.036Additional details
Identifiers
- DOI
- 10.1016/j.nds.2014.12.036;
- PII
- S0090-3752(14)00715-7;
Publishing Information
- Journal Title
- Nuclear Data Sheets
- Journal Volume
- 123
- Journal Page Range
- p. 207-213
- ISSN
- 0090-3752
- CODEN
- NDTSBA
Conference
- Title
- International workshop on nuclear data covariances
- Dates
- 28 Apr - 1 May 2014
- Place
- Santa Fe, NM (United States)
INIS
- Country of Publication
- United States
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 47006227
- Subject category
- S73: NUCLEAR PHYSICS AND RADIATION PHYSICS;
- Resource subtype / Literary indicator
- Conference
- Descriptors DEI
- DATA COVARIANCES; EVALUATION; MONTE CARLO METHOD; NUCLEAR DATA COLLECTIONS; NUCLEAR REACTIONS; RANDOMNESS
- Descriptors DEC
- CALCULATION METHODS
Optional Information
- Copyright
- Copyright (c) 2014 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.