Machine Learning and the future of Supernova Cosmology
This is an incremental review focusing on optimizing science output from large-scale surveys for astronomers and cosmologists.
The paper reviews recent efforts to develop automatic systems for identifying and classifying supernovae to enable their use as cosmological standard candles, addressing the need to adapt machine learning algorithms to astronomical data peculiarities.
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.