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Supernova classification Pipeline Leveraging Attributes of Supernova Hosts (SPLASH): A machine learning pipeline that classifies supernovae by first inferring their host's properties

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Adam-Boesky/astro_SPLASH

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Supernova classification Pipeline Leveraging Attributes of Supernova Hosts (SPLASH)

SPLASH classifies supernovae by using photometry to infer their host properties, and then using those properties (along with host-supernova angular separation) to predict supernova classes.

Here we are classifying supernova detections from LSST in real time!

Here's the scientific paper INSERT PAPER!

Installation

The pacakge can be installed from the python package index with

pip install astro_SPLASH

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Supernova classification Pipeline Leveraging Attributes of Supernova Hosts (SPLASH): A machine learning pipeline that classifies supernovae by first inferring their host's properties

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