Machine learning for transient recognition in difference imaging with minimum sampling effort
The amount of observational data produced by time-domain astronomy is exponentially increasing. Human inspection alone is not an effective way to identify genuine transients from the data. An automatic real-bogus classifier is needed and machine learning techniques are commonly used to achieve this goal. Building a training set with a sufficiently
Mong, Y. -L. et al.
Fecha de publicación:
10
2020