snmachine: Classifying supernovae light curves

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snmachine is a flexible python library for reading in photometric supernova light curves, extracting useful features from them and subsequently performing supervised machine learning to classify supernovae based on their light curves. The library is also flexible enough to easily extend to general transient classification.

code

Publications

Impact of Rubin Observatory cadence choices on supernovae photometric classification

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Considerations for optimizing photometric classification of supernovae from the Rubin Observatory

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Classification of multiwavelength transients with machine learning

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Photometric Supernova classification with machine learning

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