TrialModel
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class TrialModel : public feasst::Trial
Attempt to change the Model::model_index by plus or minus one.
The derivation of the acceptance criteria follows a similar procedure as descibed in TrialComputeMove, except with the following differences.
The limiting distribution in the canonical canonical ensemble is
\(\pi_i \propto e^{-\beta U_i}\)
The transition probabilities are as follows.
Forward event
[reverse event]
Probability, \(\pi_{on}\)
[reverse probability, \(\pi_{no}\)]
Select increase of decrease
[Select increase of decrease]
\(1/2\)
\([1/2]\)
Accept
[Accept]
\(min(1, \chi)\)
\([min(1, 1/\chi)]\)
Application of local detailed balance yields the acceptance probability, \(\chi\).
\(\frac{e^{-\beta U_0}}{2}min(1, \chi) = \frac{e^{-\beta U_n}}{2} min(1, 1/\chi)\)
\(\chi = e^{-\beta(U_n - U_o)}\)
Arguments
Trial arguments.
PerturbModel arguments.
Tunable arguments.