Bayesian estimation of hyperparameters for indirect Fourier transformation in small-angle scattering

Bayesian analysis is applied to the problem of estimation of the hyperparameters necessary for indirect Fourier transformation in small-angle scattering. It is shown how the use of probability theory eliminates the traditional problem of having to choose the noise level as well as the maximum dimension of the scatterer.