Photometric Supernova Classification with Machine Learning

AAS Nova 15 Sep 2016, 16:00 UTC (200 words excerpt, click title or image to see full post) Michelle Lochner et al 2016 ApJS 225 31A pipeline is developed for automated photometric supernova classification that can achieve accurate classification purely from light curve data, without the need for any redshift information. Note: All formatting and links have been removed – click title or image to see full article.


Link to Full Article: Photometric Supernova Classification with Machine Learning