This is the Gaussian, or normal, distribution, which is defined by its first two moments. In general, one would need all the moments to specify the probability density, f ( E ; β β ) , which is referred to as the canonical, or posterior, density in contrast to the prior density Ω Ω , which is referred to as the 'structure' function. This is the central limit theorem as it applies to thermodynamic systems.