Caltech astronomers’ algorithm classifies 1,000 dying star explosions
Caltech astronomers have developed a machine learning algorithm that successfully classified 1,000 supernovas caused by dying stars as they explode. The algorithm is called SNIascore and it uses applied on data captured by the Zwicky Transient facility (ZTF), a sky survey instrument at the Palomar Observatory. “We needed a helping hand, and we knew that… Read More »