Develop a method to fit the wavelength function in two dimensions. Currently, the DRP fits in one dimension (x, pixel coordinate). With the new approach, the fit would be a 2D function of x and lambda*m, where m is the echelle order and lambda is the wavelength. Some details are in this KPF technical note in the section called 'Higher Dimensional Solutions', including a possible equation to fit.
Develop a method to fit the wavelength function in two dimensions. Currently, the DRP fits in one dimension (x, pixel coordinate). With the new approach, the fit would be a 2D function of x and lambda*m, where m is the echelle order and lambda is the wavelength. Some details are in this KPF technical note in the section called 'Higher Dimensional Solutions', including a possible equation to fit.
I suggest developing this in a Jupyter Notebook to show how it works and to make comparisons with fits in 1D. Some possibly helpful tools are explained in this part of the KPF readthedocs. See the pages titled, Format of Wavelength Solution Dictionaries and Using the AnalyzeWLS Class. The second link is actually a Jupyter notebook (available here on Github) that might be a useful starting point.
I will post below some sample KPF exposures to experiment with.