lightcurves
This is the lightcurves repository. Check it out: 
See here for scientific application of this code: https://pos.sissa.it/395/868
lc.py
Initialize a LightCurve object based on time, flux and flux_error.
Study its Bayesian block representation (based on Scargle et al. 2013 https://ui.adsabs.harvard.edu/abs/2013arXiv1304.2818S/abstract ).
Characterize flares (start, peak, end time) with the HOP algorithm (following Meyer et al. 2019 https://ui.adsabs.harvard.edu/abs/2019ApJ...877...39M/abstract ). There are four different methods to define flares (baseline, half, flip, sharp) as illustrated in the Jupyter Notebook.
hop.py
Initialize a Hopject to consider parameters of an individual flare.
lc_set
Initialize a (large) sample of light curves to study the distribution of flare parameters whithin that sample.
Reference
If you use this code please cite:
Wagner, S. M., Burd, P., Dorner, D., et al. 2021, PoS, ICRC2021, 868
https://ui.adsabs.harvard.edu/abs/2022icrc.confE.868W/abstract
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Metadata
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Release files for lightcurves 1.1.1
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| File | Size | Uploaded | |
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| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| lightcurves-1.1.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 608.0 kB
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