The quest and need for optimisation of geophysical data sets either to improve the resolution or the field work (or both) is of growing interest for geophysical applications. So far, the approach to solve the task is to analyse measures derived from the model resolution matrix and adopt the dataset iteratively. Here we present a direct method to estimate an efficient dataset. The approach is based on analysing the data space, i.e. calculating the data resolution matrix. Essentially variable quantities of data errors are taken into account to define the necessary amount of independent unique measurements. Applied to the technique of Magnetic Resonance Sounding (MRS) we show that not only the singular value distribution of the forward operator is improved but also the resolution, i.e. the inversion result of the efficient dataset compared to a logarithmic and linear spaced.


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