Required Upstream Infrastructure for SPICE Analysis

[DanRyanIrish]

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

[ebuchlin]

Some of these issues have been closed: #177, sunpy/ndcube#155 as done, astropy/astropy#10985 as end of experiment.

[wtbarnes]

The last line "arithmetic operations" has also been completed as of sunpy/ndcube#541

[DanRyanIrish]

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.

[Cadair]

the only outstanding item is better fitting support in astropy

Trivial 🤦

[nabobalis]

the only outstanding item is better fitting support in astropy

Trivial facepalm

You best fix it and soon.

[Cadair]

I have written up this: astropy/astropy#14610 to summarise what's in my head today.