The sherpa.models.regrid module

Evaluate a model on a different grid to the requested one.

This is intended to support convolution-style models, where the convolved model should be evaluated on a different grid to the data - e.g. a larger grid, since the convolution will account for signal outside the data range - and then be regridded to match the desired grid.

Classes

Axis()	Represent an axis of a N-D object.
IntegratedAxis(lo, hi)	Represent an integrated axis of a N-D object.
PointAxis(x)	Represent a point (not integrated) axis of a N-D object.
EvaluationSpace1D([x, xhi])	Class for 1D Evaluation Spaces.
EvaluationSpace2D([x, y, xhi, yhi])	Class for 2D Evaluation Spaces.
ModelDomainRegridder1D([evaluation_space, name])	Allow 1D models to be evaluated on a different grid.
ModelDomainRegridder2D([evaluation_space, name])	Allow 2D models to be evaluated on a different grid.

Functions

rebin_2d(y, from_space, to_space)
rebin_int(array, scale_x, scale_y)	Rebin array by an integer scale on both x and y
rebin_no_int(array[, dimensions, scale])	Rebin the array, conserving flux.

Class Inheritance Diagram