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This is a to-do list to prepare for the release of 2.0.
Unit tests
Trim down the time series ingestion bit in IO.py, the lk.searchresult caching is no longer necessary since LK is fast enough now.
Make sure the rotation and inclination output from peakbag is handled neatly with and without slicing.
Tutorials need to be updated to show examples of the session and star classes and more advanced tutorials on using the modeID, peakbag in a bit more detail.
Readthedocs needs to be updated.
PyPi needs to be updated
Update Readme to reflect PBjam 2.0
Update Contributing with instructions
Update Contributors
Post release ideas:
in select_n_g we could swap out Dynesty with emcee, probably a bit faster.
Build in a better prior for rotation. modeID currently uses $\nu_{rot}$ directly as the splitting, while peakbag uses $\nu_{rot} \sin(i)$. This should probably be more consistently done, and with a meaningful prior implemented. At the moment we're just using uniform priors.
The text was updated successfully, but these errors were encountered:
This is a to-do list to prepare for the release of 2.0.
lk.searchresult
caching is no longer necessary since LK is fast enough now.peakbag
is handled neatly with and without slicing.modeID
,peakbag
in a bit more detail.Post release ideas:
select_n_g
we could swap outDynesty
with emcee, probably a bit faster.modeID
currently usespeakbag
usesThe text was updated successfully, but these errors were encountered: