keplersmear

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.

Installation

git clone https://github.com/benjaminpope/keplersmear/
cd keplersmear
python setup.py install --user

Requires

NumPy, SciPy, astropy, jplephem, de423, George, SuzPyUtils, fitsio, PyKE

Detrending requires

k2sc (K2), KeplerSys (nominal Kepler)

Citing

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}
}