Generation of covariance data among values from a single set of experiments
Modern nuclear data evaluation methods demand detailed uncertainty information for all input results to be considered. It can be shown from basic statistical principles that provision of a covariance matrix for a set of data provides the necessary information for its proper consideration in the context of other included experimental data and/or a priori representations of the physical parameters in question. This paper examines how an experimenter should go about preparing the covariance matrix for any single experimental data set he intends to report. The process involves detailed examination of the experimental procedures, identification of all error sources (both random and systematic); and consideration of any internal discrepancies. Some specific examples are given to illustrate the methods and principles involved.
- Research Organization:
- Argonne National Lab., IL (United States). Engineering Physics Div.
- Sponsoring Organization:
- USDOE, Washington, DC (United States)
- DOE Contract Number:
- W-31109-ENG-38
- OSTI ID:
- 10112049
- Report Number(s):
- ANL/EP/CP-78013; CONF-9210173-3; ON: DE93004192
- Resource Relation:
- Conference: Nuclear Energy Agency Science Committee (NEANSC) specialists meeting on evaluation and processing of covariance data,Oak Ridge, TN (United States),7-9 Oct 1992; Other Information: PBD: [1992]
- Country of Publication:
- United States
- Language:
- English
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