Python package for generating light curves from Kepler and K2 collateral data.
Using smear data, you can recover photometry of bright stars (Kp <~ 8) that were saturated or otherwise not conventionally observed by Kepler/K2.
This is an evolving body of code with complicated dependencies. We are endeavouring to simplify this and produce a more straightforward standalone package.
git clone https://github.com/benjaminpope/keplersmear/
cd keplersmear
python setup.py install --user
- NumPy, SciPy, astropy, jplephem, de423, George, SuzPyUtils, fitsio, PyKE
- k2sc (K2), KeplerSys (nominal Kepler)
If you use keplersmear in your research, please cite
Pope, B. J. S.; White, T. R.; Huber, D.; Murphy, S. J.; Bedding, T. R.; Caldwell, D. A.; Sarai, A.; Aigrain, S.; Barclay, T. (MNRAS, 2016), arXiv:1510.00008
or use this ready-made BibTeX entry
@ARTICLE{2016MNRAS.455L..36P,
author = {{Pope}, B.~J.~S. and {White}, T.~R. and {Huber}, D. and {Murphy}, S.~J. and
{Bedding}, T.~R. and {Caldwell}, D.~A. and {Sarai}, A. and {Aigrain}, S. and
{Barclay}, T.},
title = "{Photometry of very bright stars with Kepler and K2 smear data}",
journal = {\mnras},
archivePrefix = "arXiv",
eprint = {1510.00008},
primaryClass = "astro-ph.IM",
keywords = {asteroseismology, techniques: photometric, stars: individual: HR 8500, 70 Aqr, HD 178875, stars: variables: general},
year = 2016,
month = jan,
volume = 455,
pages = {L36-L40},
doi = {10.1093/mnrasl/slv143},
adsurl = {http://adsabs.harvard.edu/abs/2016MNRAS.455L..36P},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}