Patent attributes
Calibrating stochastic signals in compact modeling is provided by obtaining data of process variations in producing a resist mask; calibrating a continuous compact model of the resist mask based on the data; evaluating the continuous compact model against a stochastic compact model that is based on the data; choosing a functional description of an edge location distribution for the stochastic compact model; mapping image parameters from the evaluation to edge distribution parameters according to the functional description; determining an edge location range for the stochastic compact model based on scaled measurements from the image parameters; calibrating a threshold for the resist mask and updating parameters of the stochastic compact model to reduce a difference between the data and a modeled Line Edge Roughness (LER) value; and outputting the stochastic compact model.