14 March 2019
Europe/Warsaw timezone

AI methods developed / under development for TOROS that might be use for LSST

14 Mar 2019, 16:40
Machine learning Machine learning


Dr Zadrożny Adam (NCBJ)


In a talk I would like to present methods developed or currently under development for TOROS project that have potential to be useful for LSST. Most important methods developed be me for TOROS is background rejection using Convolutional Neural Networks (with 99.5 % accuracy). The other methods currently under development involves galaxy subtraction using GANs, scheduling using reinforcement learning and image subtraction using neural networks.

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