Machine learning and related methods will be crucial for automatically classifying transients as they happen in order to best allocate follow-up resources. Such techniques cannot be used off the shelf, but must be developed by the community as a whole.
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Acknowledgements
The author thanks R. S. de Souza and A. Krone-Martins for comments on this manuscript. The author is supported by a 2018 CNRS MOMENTUM fellowship.
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Ishida, E.E.O. Machine learning and the future of supernova cosmology. Nat Astron 3, 680–682 (2019). https://doi.org/10.1038/s41550-019-0860-6
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DOI: https://doi.org/10.1038/s41550-019-0860-6
