Open jeipollack opened 8 months ago
I don't recall exactly.. but it seems that in the L145 case I need to enforce it strictly, while in the L208 to compute the Zks there can be some flexibility (although if it goes too far from the limit there could be a problem). I think I changed to that relaxed enforcement in L208 because with the strict enforcement from L145 I had a problem when simulating some field (quick and dirty solution).
Sorry I am confused because you wrote second twice in the first sentence. Maybe put the L### next to each so I can follow better. :-)
@jeipollack Sorry my bad, I just edited the comment
@sfarrens and @tobias-liaudat I completed the refactoring of the spatial_varying_psf.py module with 84% unit test coverage.
I confirmed that the WFE_RMS map and Zernike polynomial coefficients are reproduced with respect to the old code. I included them as unit tests in spatial_varying_psf_test.py but for very small dimensions.
I want to open a Pull Request although it's not fully integrated into WaveDiff, yet. It's just a refactored module with unit tests. Let me know what you think.
@jeipollack Great! I think it might be good to add a script that shows how to use the refactored code to create a polychromatic spatially varying PSF dataset, in the same way I had the scripts to generate PSF datasets with the original version
@tobias-liaudat I thought I would save that for the next PR, which I will begin working on. Otherwise, it overwhelms the reviewer as this module features a lot of changes.
I wanted to know if I could add you (@tobias-liaudat) as a reviewer for this module.
Just to clarify, I believe it's best to focus on completing the current set of changes in a small PR to ensure thorough review and testing (as Sam taught me).
Breaking down tasks into smaller, more manageable PRs allows us to maintain a clear focus, manage review cycles effectively, and reduce the risk of errors. It also enables us to give/receive feedback in smaller increments, leading to a more agile and responsive development process. This approach aligns with best practices in software development.
@jeipollack sounds good :)
Yeah, go ahead and add me
For generating spatially varying PSFs to serve as validation data, we need to reintroduce the module from the old main branch: https://github.com/CosmoStat/wf-psf/blob/old_main_backup/wf_psf/GenPolyFieldPSF.py
The module should be refactored to improve: