Machine Learning and the future of Supernova Cosmology
arXiv:1908.02315
The paper reviews how machine learning techniques can be adapted to astronomical data to automatically identify and classify supernovae, enabling their use as standard candles in future large‑scale cosmological surveys.
Abstract
Machine Learning methods will play a fundamental role in our ability to optimize the science output from the next generation of large scale surveys. Given the peculiarities of astronomical data, it is crucial that algorithms are adapted to the data situation at hand. In this comment, I review the recent efforts towards the development of automatic systems to identify and classify supernova with the goal of enabling their use as cosmological standard candles.
Author version of invited Comment Article published as part of a Supernova Focus Issue in Nature Astronomy; 13 pages