To do

Basic

[] Move .pre-commit-config.yaml to .github/workflow/tests.yaml. See example.
[] update pyproject.toml. See example.
[] query_gaia_dr2_catalog and tic catalog can be combined with galex into query_mast(catalog=["gaia","tic","galex"]) see here using lower level functions here
[] make input to cr.Target using get_target_coord unified as in mirai.parse_target_coord
make setup.py work in fresh conda environment
remove redundant large files in /data; see this repo
make sure access to /data after installation works
[] add tests following this format
[] configure documentation using just-the-docs
[] standardize docstrings
[] add binder, badges
[] implement typing (> Python 3.8)
[] include an environment.yml file, like this
check if caching works in get_lc(), get_tpf(), etc.
migrate constants to constants.py

Functions

[] see (gaia_tools)[https://github.com/jobovy/gaia_tools]
[] see (tpfplotter)[https://github.com/jlillo/tpfplotter]
[] see (tess_infos)[https://github.com/MNGuenther/tess_infos] TIC-Banyan cross-matching
[] incorporate (chronostar)[https://github.com/mikeireland/chronostar]
[] mr-relation
[] join multi-sector light curves
[] See routines in difference imaging analysis
[] add lightcurve from ASAS-SN project (Shappee et al. 2014; Kochanek et al. 2017))
[] check cdips-pipeline
[] add astrobase specifically the astrotess module; see also notebooks
resolve make_custom_lc in LongCadence and ShortCadence (using tpf.py)
add detrend method; see https://stackoverflow.com/a/24865663/1910174
[] check optimum break_tolerance given cadence
[] incorporate triceratops in workflow
[] fix HR diagram
[] add isochrone fitting in CM diagram
[] add size=stellar radius and color=logg from tic catalog in CMD/HRD similar to Hardegree-Ullman+2020 to show if dwarf/giant misclassification
[] add data from pathos pipeline
[] See Tess tutorials and notebooks

Notes

[] see TESS DR14 Notes S4.2 about transit search improvement in pipeline