NAOC-LAMOST/fcn4flare
official implementation of the paper: "FCN4Flare: Fully Convolution Neural Networks for Flare Detection" (accept by MNRAS)
FCN4Flare helps astronomers automatically identify stellar flares in photometric time-series data, which are recordings of a star's brightness over time. You input these light curve measurements, and the system outputs precise locations of flares. This tool is designed for stellar physicists and researchers in time-domain astronomy who study stellar magnetic activity and space weather.
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Use this if you need to accurately detect stellar flares from Kepler or K2 light curve data, even when dealing with gaps in your observations or subtle flare events.
Not ideal if you are analyzing light curves from observatories other than Kepler or K2, or if your primary interest is not in stellar flare detection.
Stars
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Language
Python
License
Apache-2.0
Category
Last pushed
Mar 07, 2025
Commits (30d)
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