Machine Learning Tools Automatically Classify 1,000 Supernovae

Astronomers at Caltech have used a machine learning algorithm to classify 1,000 supernovae completely autonomously. The algorithm was applied to data captured by the Zwicky Transient Facility, or ZTF, a sky survey instrument based at Caltech’s Palomar Observatory. Credit: Caltech/ZTF/ESA/Gaia/DPAC More Info: