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A recurrent autoencoder neural network-based classifier for SN light curves.

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superRAENN

SuperRAENN is an open-source Python 3.x package for the photometric classification of supernovae in the following categories: Type I superluminos supernovae, Type II, Type IIn, Type Ia and Type Ib/c. It is described in detail in Villar et al. (in prep.). SuperRAENN is optimized for use with complete (rather than realtime) light curves from the Pan-STARRS Medium Deep Survey. Users will need to train the classifier on their own data for optimal results.

Installation

superraenn is available with pip:

`` pip install superraenn ``

For a development install, clone this directory:

`` git clone https://github.com/villrv/superraenn.git cd superraenn python setup.py develop ``

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A recurrent autoencoder neural network-based classifier for SN light curves.

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