Algorithm

Astronomers from the California Institute of Technology (Caltech) have used a machine algorithm to classify 1000 cosmic explosion supernovas.

He concurs with Graham, adding that this work "demonstrates well how machine learning applications are coming of age in near real-time astronomy." Even before these advancements happen, the machine learning tool is reshaping astronomy and demonstrating the changing face of this scientific field. Fremling added that since April last year the ZTF team has found SNIascore has misclassified no supernovas. So much so that ZTF team members couldn't possibly sift through it alone, leading to the development of SNIascore to assist in this monumental task. After 1,000 supernovas, we have seen how the algorithm performs in the real world." SNIascore then works with SEDM to classify which observed supernovas fit within the Type Ia class.