FlatHistogram
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class FlatHistogram : public feasst::Criteria
Flat histogram acceptance criteria uses a bias to improve sampling and attempt to recover the free energy of the system as a function of the give macrostate.
The Macrostate must be defined before the bias.
CriteriaWriter outputs the following:
Criteria base class output.
Bias derived class output.
soft_min and soft_max, the current bounds of the macrostate.
rows of each Macrostate, given by “state,” followed by Bias derived class- specific information for each Macrostate.
Arguments
Bias: WangLandau, TransitionMatrix, WLTM, etc.
Criteria arguments.