Machine learning tools autonomously classify 1,000 supernovae
Published Date: 11/23/2022
Source: phys.org
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.