Fourier Analysis of Spectral Lines


In many cases, the analysis of the shape of a spectral line is better done in the Fourier domain. One reason for this lies in the distribution of signal amplitude as a function of frequency as it compares to the statistically constant white-noise level. In a log-log plot, the shape of the transform is often invariant, and therefore simple horizontal translation is all that is needed to model different values of rotation rate (v sin I) or macroturbulence dispersion (z RT). The following figure illustrates one match of a disk-integration model with observations.

I have used Fourier analysis extensively to separate the components of line broadening, the major two being rotation and macroturbulence.

Please see the following references:

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