Using Convolutional Neural Networks along image subtraction for detecting weak optical transients
2020-11-08, 18:25–18:25, Posters

In the poster I would like to present a method for enchasing image subtraction with CNN for detecting optical transients. The method has been tested on Transient Optical Robot Observatory of the South (TOROS) optical data connected with search of optical counterparts to gravitational wave events during LIGO O2 run. In test runs method proved to achieve more than 99% accuracy, much higher than algorithms based on random forest methods. The method will be included into standard transient search pipeline for TOROS network in upcoming year.


Theme – Multi-Messenger Astronomy, Machine Learning, Statistics, and Algorithms, Time-Domain Ecosystem
See also: Using Convolutional Neural Networks along image subtraction for detecting weak optical transients