Add support for SOLO L3

[Hermanlrx]

-Add handling of SOLO RPW surv flux products (TNR-SURV-FLUX & HFR-SURV-FLUX) #136

These changes allow you to read and plot the new data products using Spectrogram.
Long term it could be good to separate the TNR and HFR data products depending on usage.

[samaloney]

This is not specific to this PR. I'm posting this to all open PRs. Please be aware of the update to our AI usage policy, specifically on the disclosure of and acceptable uses of AI.

[samaloney]

pre-commit.ci autofix

[samaloney]

Thanks for the PR the test fails are unrelated but do tests pass locally for you?

Note I've run the pre-commit.ci autofix so you will need to pull these change back down. Needs a changelog too.

I think the level handling of the SOLO data could be improved there must be level keyword/variable that can be checked.

[Hermanlrx]

Most tests passed, there are some fails related to upstream sunpy Scraper.

The new commit includes some level handling and a changelog.

[samaloney]

Ok once #142 is merged and this PR update it should resolve the Fido errors.
I'm going to use pre-commit.ci autofix again but pre-commit should run when you do a git commit see here but in short

pip install tox
tox -e codestyle

[samaloney]

pre-commit.ci autofix

[samaloney]

Ok I've update this PR with the merge Fido fixes and the tests look good. I think the only thing this needs is a test similar to what's done here https://github.com/sunpy/radiospectra/blob/main/radiospectra/spectrogram/sources/tests/test_psp_rfs.py

[hayesla]

does this actually work?

[Hermanlrx]

I definitely made an assumption about the contents of the cdf files there, will double check and revert back as needed

[Hermanlrx]

This is what I get when running the plotting code:

[hayesla]

yeah that doesnt look right, thanks for checking Herman! @samaloney can you remember this working in the past? i suggest we only add support for L3 data (which is what the RPW team suggest scientists to use anyway)

[samaloney]

No it still works, the default colour scheme prob look messy for that specific data if you use the example from the source you get this.

Also if you use LogNorm the above data do show things but we just don't interpolate fill in the missing data.

We should point user towards the L3 file but may not be the best for every one.

[samaloney]

Looks good to me, thanks for the PR.

Now we just need to add a Fido client to allow search and download of the L3 data.

[samaloney]

A bit of playing around

import astropy.units as u
import matplotlib.pyplot as plt
from matplotlib.colors import LogNorm
from radiospectra.spectrogram import Spectrogram

spec = Spectrogram("https://rpw-lira.obspm.fr/roc/data/pub/solo/rpw/data/L3/thr_flux/2025/11/solo_L3_rpw-hfr-surv-flux_20251101_V01.cdf")

fig, ax = plt.subplots()
ax.yaxis.set_units(u.MHz)
spec.plot(norm=LogNorm(), axes=ax)
ax.set_yscale("log")
ax.set_ylim(ax.get_ylim()[::-1])
plt.show()

[hayesla]

we can get it from SOAR @samaloney - dont need specific client

[samaloney]

@Hermanlrx thanks for the PR great to get the L3 SO/RPW support 🚀

[samaloney]

we can get it from SOAR @samaloney - dont need specific client

Ah great I didn't think/know it was in the SOAR

[Hermanlrx]

@Hermanlrx thanks for the PR great to get the L3 SO/RPW support 🚀

Thanks for the help @samaloney, to many more ;) 🍻