Orateur
Description
With LISA Mission being now in phase B1, its requirements have been consolidated and we are more and more able to tailor the mission, including the methods to scientifically analyse the data during operations.
Also, to fulfil one of LISA’s role as an actor in enabling multi-messenger astronomy, we need to analyse the data in a fast and reliable way in order to quickly identify important gravitational wave events and emit low-latency alerts towards all the available observatories.
To obtain a quick and accurate analysis of the LISA data, we opted for an approach based on deep learning techniques. We have developed several deep learning models and trained to detect and characterize LISA-like waveforms.
In this presentation we will show our results concerning tests and benchmarks performed on these models. We will also present our preliminary results on the analysis of the data produce by the LISA/LDC group using these techniques.
