Parameters such as the 'sub-window size' and 'overlap' can have an influence on which feature sizes are emphasised, thereby potentially affecting the distribution of WOP values leading to distributions between monomodal and bimodal shapes. Specifically, the choice of the 'sub-window size' determines what features are most influential in calculating angles and their respective intensity. If the window size is too large, smaller features might have an SNR too low compared to larger-scale features to be picked up by the algorithm. Although the threshold for peak amplitudes could be tweaked accordingly, it is more effective to lower the sub-window size. In general, we suggest choosing a sub-window size between 2x and 5x of the expected size of the smallest feature. This window size then ensures that the Nyquist criterium is met so that present features can adequately be described by fitting the angular response functions. The software further includes an option to automatically analyse and screen various sub-window sizes.