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Uncertainties in Relative Spectral Data



J L. Gardner


Relative measurements of a series of data, either as a function of wavelength or angle, are common in radiometry. Normalization of these data at some reference point introduces correlations that must be considered when propagating uncertainties through a subsequent combination. True normalization means that the uncertainty of the value at the reference point is zero. Here we show that the propagation is simpler if the normalization is in value only, that is, the data are scaled by a scalar and the measured value at the reference point retains its measurement uncertainty.
Journal of Research (NIST JRES) -


radiometry, uncertainty


Gardner, J. (2008), Uncertainties in Relative Spectral Data, Journal of Research (NIST JRES), National Institute of Standards and Technology, Gaithersburg, MD (Accessed June 20, 2024)


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Created October 16, 2008