Python-based flare finding code for Kepler light curves.
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appaloosa Merge branch 'master' into master Sep 20, 2018
misc update isochrones Apr 25, 2017
LICENSE.md create LICENSE Jul 18, 2016
README.md looking towards the future! Sep 20, 2018
Table1_full.csv add full output table from paper Jul 13, 2016

README.md

DOI

PROJECT: appaloosa

Finding every flare in every Kepler light curve.

UPDATE:

appaloosa is being depricated for now, and we do not reccomend using it for searching for flares. Instead, look to the new project: AltaiPony

About

If you use this code, or the data table of flare stars, please cite the paper Davenport (2016, ApJ). This work is supported by a NSF Astronomy and Astrophysics Postdoctoral Fellowship under award AST-1501418.

Q: Why "appaloosa"?
A: I ran out of better ideas for names

How to appaloosa:

  1. Download and have all Kepler data ready on cluster
  2. Run condor.py to prep Condor scheduling scripts
  3. Run Condor scripts on cluster
  4. Bundle outputs (aprun directory) in to .tar.gz file, move to workstation, unpackage
  5. Generate a list of .fake output files, run postprocess.py
  6. gzip the output table
  7. Do analysis and create plots for paper by running analysis.py, specifically paper1_plots()