Covariance of differential spectral-calibration gains
ID: covariance-of-differential-spectral-calibration-gains
The covariance of differential spectral-calibration gains describes the joint errors of gain differences used in several spectral ratios. Let the calibration-error vector be with covariance , and form differences . ThenThis covariance identity is exact for the linear differences; no normal-distribution assumption is required. The first-order relation between gain differences and isotope stiffness ratios is given in separate spectral-calibration gains in isotope stiffness inference.[ref]
Guidelines for Evaluating and Expressing the Uncertainty of NIST Measurement Results by Barry N. Taylor and Chris E. Kuyatt. Appendix A, equation A-3, sensitivity and covariance propagation
For an original shared-reference model, take three gain errors , where is a common scale error and the are independent residual errors with variances . Two sample spectra are compared with the same reference spectrum:The common scale cancels, but the residual reference error remains in both differences:Cancellation of one common influence therefore does not establish independent comparisons.
Choose all three residual standard uncertainties as . Then , with correlation between the differences. Even a much larger common scale uncertainty cancels in this stipulated model. Each inferred log stiffness ratio has error approximately twice its gain difference. Averaging the two log-ratio estimates gives variance and standard uncertainty about . Incorrectly treating them as independent would give only .
This shared-reference floor in averaged isotope stiffness ratios matters when many sample spectra reuse one calibrated reference. Independent extra sample readings reduce their own errors, while a reference component shared by all comparisons remains. Assess covariance from the actual reference reuse, calibration drift and repeated acquisition protocol. The matrix calculation concerns multiplicative calibration errors; uncertain peak assignment, isotope composition and additive spectral offsets need their own contributions.
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