hse-cs/fulu
Fulu is a python library of supernova light curves approximation methods based on machine learning.
This tool helps astronomers analyze supernova light curves by approximating their behavior using machine learning. You input observed measurements of a supernova's brightness over time, and it outputs a smoothed, continuous estimation of its light curve. This is designed for astrophysicists and researchers studying transient astronomical events.
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Use this if you need to create a continuous model of sparse or noisy supernova brightness data to better understand its evolution.
Not ideal if you are looking for tools to classify stellar objects other than supernovae or if you do not work with photometric time series data.
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27
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Language
Jupyter Notebook
License
MIT
Category
Last pushed
Mar 14, 2025
Commits (30d)
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