The surrogate model is used to estimate the remaining distribution of the objective function (termed the posterior predictive distribution or just the posterior). The mean and variance of the posterior are fed into the acquisition function and the point with the maximum value selected. This becomes the new observation point and the objective function is evaluated -in chemical problems, this amounts to performing an experiment and measuring a property.