sunraster
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sunpy
Required Upstream Infrastructure for SPICE Analysis
To support tools for performing instrument-specific spectral analysis on SPICE data, the following generalized infrastructure must be developed/improved with the following priority:
| Functionality | Use Case | Package | Equivalent/Generalized Infrastructure | Open Issue/PR |
|---|---|---|---|---|
| Fast Non-linear Fitting | Fitting spectral line in all pixels | astropy | Parallelizing non-linear fitting | astropy#3670, astropy#10985 |
| Update sunraster for ndcube 2.0 | Increase code stability | sunraster | sunraster#177 | |
| Superpixel with method option, e.g. mean, sum etc. | Increase signal-to-noise by degrading spatial, spectral of temporal resolution | ndcube | resampling an NDCube | ndcube#155, ndcube#290 |
| Arithmetic operations | Subtract background | ndcube and/or astropy | Arithmetic operations | astropy#11176 |
Some of these issues have been closed: https://github.com/sunpy/sunraster/issues/177, https://github.com/sunpy/ndcube/issues/155 as done, https://github.com/astropy/astropy/pull/10985 as end of experiment.
The last line "arithmetic operations" has also been completed as of sunpy/ndcube#541
Superpixelling is now possible with ndcube v 2.1.1 via the NDCube.rebin method. (sunpy/ndcube#450). So it seems the only outstanding item is better fitting support in astropy.
the only outstanding item is better fitting support in astropy
Trivial :facepalm:
the only outstanding item is better fitting support in astropy
Trivial facepalm
You best fix it and soon.
I have written up this: https://github.com/astropy/astropy/issues/14610 to summarise what's in my head today.