The Deconvolution and Evaluation of the Area Under ESR Lines

Two methods for the deconvolution of ESR spectral lines and the evaluation of the area under these lines are presented. The first method makes use of Gautschi’s algorithm (1970) for the evaluation of the derivative of the Voigt function and then it is least-squares fitted to the experimental first derivative resonance line. The second method uses as input data the maximum, the minimum and their separation on the second derivative of the resonance line. Both methods are applicable to single-crystal lines, low viscosity liquid lines, and completely isotropic-powder or frozen solution spectral lines. A couple of relationships between the area under the resonance curve and parameters obtained in each method are found. The two methods presented here improve on previous deconvolution procedures proposed, since no extra low-temperature measurements are required and a fitting criterion is used for the comparison with the experimental spectrum, including the background.