An overview on model-independent data reduction methods in Moessbauer spectroscopy

There are two classes of model-independent procedures used for data reduction in Moessbauer spectroscopy viz. resolution improvement and the linear combination methods. Quite often both kinds of procedures can be used one after the other. The resolution-improvement methods decrease the Lorentzian broadening of the resonance lines. The latter face the problem of finding a reasonable compromise between increased noise and false oscillations. The linear combination methods may be used to decompose spectra into several components. Under favourable conditions certain parameters of the hyperfine interaction or their distribution can be determined to a high accuracy. (orig.)