Basic statistics and variational concepts behind the reverse Monte Carlo technique

• We revise the statistical foundations of the reverse Monte Carlo ( RMC) technique by constructing the associated functional of a variational principle which incorporates, without any ad hoc assumptions, the inherent errors accompanying the simulation and the experimental data. We propose a Bayesian criteria for acceptance/rejection of configurations, in terms of the variations of the functional. The loss function and variational functional minimization approaches are compared.

Ämnesord

NATURVETENSKAP  -- Kemi -- Teoretisk kemi (hsv//swe)

NATURAL SCIENCES  -- Chemical Sciences -- Theoretical Chemistry (hsv//eng)

Nyckelord

reverse Monte Carlo

statistical mechanics

functional analysis

function

loss

Publikations- och innehållstyp

art (ämneskategori)

ref (ämneskategori)