DM-19443: Extract and visualize the local and the spatial AL kernel solution coefficients

[kgabor]

No description provided.

[mrawls]

Please take a look at the individual GitHub comments.

After reading the new AL_implementation document, I am honestly still not very clear on what is happening, but I am lacking concrete suggestions for what parts of it need clarification. Perhaps adding some bullets or steps (first this happens, then this, then this) could help? Or adding a figure or two from the new debugging code that illustrates some of the key concepts, like the basis functions and kernel solutions as they are used in a real image? Perhaps copying/quoting some of the text from the API docs and elaborating on it directly? Or adding an algorithmic AL overview and then referring back to it as you delve into different classes and functions in the codebase?

Bottom line, I feel like I should come away with a clearer understanding of how the AL portion of diffim works after reading this, but instead I feel overwhelmed and confused. Maybe that makes two of us 😆 I'm sorry I don't have a clearer suggestion of what to do to improve it. It is better to have this than nothing, but I would like to see at least some clarifying additions to the writeup before it is merged. What would have helped past-Gabor who hadn't done this ticket yet to understand it all?