I need to fit data where the data points are not equally distributed. However, the fit uses a convolution. From my understanding for the convolution to work, the arrays need to have the same spacing. For that I interpolate the data. But now, I fit the interpolated data, and anywhere where I only have few data points, the interpolation gives more datapoints, hence these regions will have an influence on the fit, that is overweighted.