Spatial multi-taper spectrum estimation for nuclear reactor modelling

C. J. Scarrott; G. Tunnicliffe Wilson

doi:10.1016/j.csda.2009.06.007

Spatial multi-taper spectrum estimation for nuclear reactor modelling

C. J. Scarrott
, G. Tunnicliffe Wilson

University of Canterbury
Department of Mathematics and Statistics, Lancaster University

Research output: Contribution to a Journal (Peer & Non Peer) › Article › peer-review

1 Citation (Scopus)

Abstract

Multi-taper univariate and cross-spectral analysis is used to investigate the structure of spatial variation in the temperatures measured across the surface of a nuclear reactor. The construction of the spatial tapers over the approximate circular reactor surface is described, along with derivation and sampling properties of the spectral estimates. It is shown how the analysis can be used to identify regular patterns in the temperature measurements, and the spatial transfer function between the reactor temperatures and fuel characteristics. The results are used to specify a parametric regression model for the temperature measurements.

Original language	English
Pages (from-to)	4384-4402
Number of pages	19
Journal	Computational Statistics and Data Analysis
Volume	53
Issue number	12
DOIs	https://doi.org/10.1016/j.csda.2009.06.007
Publication status	Published - 1 Oct 2009
Externally published	Yes

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10.1016/j.csda.2009.06.007

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title = "Spatial multi-taper spectrum estimation for nuclear reactor modelling",

abstract = "Multi-taper univariate and cross-spectral analysis is used to investigate the structure of spatial variation in the temperatures measured across the surface of a nuclear reactor. The construction of the spatial tapers over the approximate circular reactor surface is described, along with derivation and sampling properties of the spectral estimates. It is shown how the analysis can be used to identify regular patterns in the temperature measurements, and the spatial transfer function between the reactor temperatures and fuel characteristics. The results are used to specify a parametric regression model for the temperature measurements.",

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N2 - Multi-taper univariate and cross-spectral analysis is used to investigate the structure of spatial variation in the temperatures measured across the surface of a nuclear reactor. The construction of the spatial tapers over the approximate circular reactor surface is described, along with derivation and sampling properties of the spectral estimates. It is shown how the analysis can be used to identify regular patterns in the temperature measurements, and the spatial transfer function between the reactor temperatures and fuel characteristics. The results are used to specify a parametric regression model for the temperature measurements.

AB - Multi-taper univariate and cross-spectral analysis is used to investigate the structure of spatial variation in the temperatures measured across the surface of a nuclear reactor. The construction of the spatial tapers over the approximate circular reactor surface is described, along with derivation and sampling properties of the spectral estimates. It is shown how the analysis can be used to identify regular patterns in the temperature measurements, and the spatial transfer function between the reactor temperatures and fuel characteristics. The results are used to specify a parametric regression model for the temperature measurements.

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JO - Computational Statistics and Data Analysis

JF - Computational Statistics and Data Analysis

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Spatial multi-taper spectrum estimation for nuclear reactor modelling

Abstract

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