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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.
This is a to-do list to prepare for the release of 2.0.
lk.searchresultcaching is no longer necessary since LK is fast enough now.peakbagis handled neatly with and without slicing.modeID,peakbagin a bit more detail.Post release ideas:
select_n_gwe could swap outDynestywith emcee, probably a bit faster.modeIDcurrently usespeakbaguses