  The influence of experimental noise on densities rho(p) reconstructed by the
Cormack method from their line projections, e.g. 2D ACAR spectra, is
investigated. Simulations of statistical noise are performed for various sets
of 2D spectra for two model rho(p) having the cubic symmetry. For the
reconstructed densities propagation of the statistical error in terms of
standard deviations, sigma[rho(p)], is estimated. We observe that the
distribution of sigma[rho(p)] has its extremes along the main symmetry
directions and also a tendency to accumulate for small p. Moreover, the more
density components, rho_n(p), have to be taken to description of rho(p) the
less anisotropic is the distribution of sigma[rho(p)]. Additionally, the error
generated by the reconstruction method itself is discussed.
