Published June 24, 2008 | Version v1
Report

Development of covariance capabilities in EMPIRE code

Description

The nuclear reaction code EMPIRE has been extended to provide evaluation capabilities for neutron cross section covariances in the thermal, resolved resonance, unresolved resonance and fast neutron regions. The Atlas of Neutron Resonances by Mughabghab is used as a primary source of information on uncertainties at low energies. Care is taken to ensure consistency among the resonance parameter uncertainties and those for thermal cross sections. The resulting resonance parameter covariances are formatted in the ENDF-6 File 32. In the fast neutron range our methodology is based on model calculations with the code EMPIRE combined with experimental data through several available approaches. The model-based covariances can be obtained using deterministic (Kalman) or stochastic (Monte Carlo) propagation of model parameter uncertainties. We show that these two procedures yield comparable results. The Kalman filter and/or the generalized least square fitting procedures are employed to incorporate experimental information. We compare the two approaches analyzing results for the major reaction channels on 89Y. We also discuss a long-standing issue of unreasonably low uncertainties and link it to the rigidity of the model.

Additional details

Publishing Information

Imprint Pagination
12 p.
Report number
BNL--81624-2008-CP

Conference

Title
Covariance Workshop
Dates
24-27 Jun 2008
Place
Port Jefferson, NY (United States)

INIS

Country of Publication
United States
Country of Input or Organization
United States
INIS RN
40003536
Subject category
S72: PHYSICS OF ELEMENTARY PARTICLES AND FIELDS; S73: NUCLEAR PHYSICS AND RADIATION PHYSICS;
Resource subtype / Literary indicator
Conference, Non-conventional Literature
Descriptors DEI
CROSS SECTIONS; EVALUATION; FAST NEUTRONS; NEUTRONS; NUCLEAR REACTIONS; RESONANCE
Descriptors DEC
BARYONS; ELEMENTARY PARTICLES; FERMIONS; HADRONS; NEUTRONS; NUCLEONS

Optional Information

Contract/Grant/Project number
KB0301041; AC02-98CH10886
Funding organization
Doe - Office Of Science (United States)