Figure 3.

G(t) s may arise from unusual p(τ_D) distributions that cannot easily be fit using anomalous diffusion models. A skewed-normal distribution (b) plus 6% added noise was used to generate a 100 point G(t) (a, blue dots, equidistant in time). The p(τ_D) was then extracted (b) and used to reconstruct the noiseless G(t) (a, solid curve). The original and extracted p(τ_D) are indistinguishable, although agreement of our reconstructed G(t) with the original noisy G(t) is excellent at this noise level. To see this figure in color, go online.