Eigenvector method for umbrella sampling enables error analysis
Eigenvector method for umbrella sampling enables error analysis
Umbrella sampling efficiently yields equilibrium averages that depend on exploring rare states of a model by biasing simulations to windows of coordinate values and then combining the resulting data with physical weighting. Here, we introduce a mathematical framework that casts the step of combining the data as an eigenproblem. The …