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(lo, hi) |
|
EvaluationSpace1D([x, xhi]) |
|
EvaluationSpace2D([x, y, xhi, yhi]) |
|
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, custom_space, requested_space) |
|
rebin_flux(array[, dimensions, scale]) |
Rebin the array, conserving flux. |