Covariance Matrix Evaluations for Independent Mass Fission Yields
Abstract
Recent needs for more accurate fission product yields include covariance information to allow improved uncertainty estimations of the parameters used by design codes. The aim of this work is to investigate the possibility to generate more reliable and complete uncertainty information on independent mass fission yields. Mass yields covariances are estimated through a convolution between the multi-Gaussian empirical model based on Brosa's fission modes, which describe the pre-neutron mass yields, and the average prompt neutron multiplicity curve. The covariance generation task has been approached using the Bayesian generalized least squared method through the CONRAD code. Preliminary results on mass yields variance-covariance matrix will be presented and discussed from physical grounds in the case of {sup 235}U(n{sub th}, f) and {sup 239}Pu(n{sub th}, f) reactions.
- Authors:
-
- CEA, DEN, DER/SPRC, Cadarache, F-13108 Saint Paul lez Durance (France)
- Industrial Engineering Department (DIN), University of Bologna (Italy)
- Publication Date:
- OSTI Identifier:
- 22436787
- Resource Type:
- Journal Article
- Journal Name:
- Nuclear Data Sheets
- Additional Journal Information:
- Journal Volume: 123; Conference: International workshop on nuclear data covariances, Santa Fe, NM (United States), 28 Apr - 1 May 2014; Other Information: Copyright (c) 2014 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.; Country of input: International Atomic Energy Agency (IAEA); Journal ID: ISSN 0090-3752
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 73 NUCLEAR PHYSICS AND RADIATION PHYSICS; DATA COVARIANCES; FISSION PRODUCTS; FISSION YIELD; NEUTRON REACTIONS; NUCLEAR DATA COLLECTIONS; PLUTONIUM 239; PROMPT NEUTRONS; URANIUM 235
Citation Formats
Terranova, N., E-mail: nicholas.terranova@unibo.it, Serot, O., Archier, P., De Saint Jean, C., and Sumini, M. Covariance Matrix Evaluations for Independent Mass Fission Yields. United States: N. p., 2015.
Web. doi:10.1016/J.NDS.2014.12.039.
Terranova, N., E-mail: nicholas.terranova@unibo.it, Serot, O., Archier, P., De Saint Jean, C., & Sumini, M. Covariance Matrix Evaluations for Independent Mass Fission Yields. United States. https://doi.org/10.1016/J.NDS.2014.12.039
Terranova, N., E-mail: nicholas.terranova@unibo.it, Serot, O., Archier, P., De Saint Jean, C., and Sumini, M. 2015.
"Covariance Matrix Evaluations for Independent Mass Fission Yields". United States. https://doi.org/10.1016/J.NDS.2014.12.039.
@article{osti_22436787,
title = {Covariance Matrix Evaluations for Independent Mass Fission Yields},
author = {Terranova, N., E-mail: nicholas.terranova@unibo.it and Serot, O. and Archier, P. and De Saint Jean, C. and Sumini, M.},
abstractNote = {Recent needs for more accurate fission product yields include covariance information to allow improved uncertainty estimations of the parameters used by design codes. The aim of this work is to investigate the possibility to generate more reliable and complete uncertainty information on independent mass fission yields. Mass yields covariances are estimated through a convolution between the multi-Gaussian empirical model based on Brosa's fission modes, which describe the pre-neutron mass yields, and the average prompt neutron multiplicity curve. The covariance generation task has been approached using the Bayesian generalized least squared method through the CONRAD code. Preliminary results on mass yields variance-covariance matrix will be presented and discussed from physical grounds in the case of {sup 235}U(n{sub th}, f) and {sup 239}Pu(n{sub th}, f) reactions.},
doi = {10.1016/J.NDS.2014.12.039},
url = {https://www.osti.gov/biblio/22436787},
journal = {Nuclear Data Sheets},
issn = {0090-3752},
number = ,
volume = 123,
place = {United States},
year = {Thu Jan 15 00:00:00 EST 2015},
month = {Thu Jan 15 00:00:00 EST 2015}
}