Evaluating the model on a different gridΒΆ

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 from the RegriddableModel1D or RegriddableModel2D classes. At present the only documentation is provided in the low-level API module.