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Two techniques for recovery of the Doppler temperature from Fabry-Perot spectrometer observations of multiple-line profiles are tested. A direct fit of a modeled profile to the data is found to produce more consistent results and is less sensitive to noise than the method of least-squares fitting to low-order Fourier-transform coefficients derived from the data. This result is unexpected since the Fouriertransform method permits the reduction of noise by truncating the series of coefficients used to determine the temperature.
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Conner et al. (1993) studied this question.
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