Evaluating the model on a different grid¶
Sherpa now provides experimental support for evaluating a model on a different grid to the independent axis. This can be used to better model the underlying distribution (by use of a finer grid), or to include features that lie outside the data range but, due to the use of a convolution model, can affect the values within the data range.
Existing Sherpa models take advantage of this support by inheriting
At present the only documentation is provided in the
low-level API module.