Orateur
Elie Leroy
(DRF-IRFU)
Description
The LISA space-interferometer will simultaneously acquire gravitational waves emitted from thousands of sources through three time series.
The disentanglement of these signals poses a challenging underdetermined source separation problem.
To isolate signals based on their individual signatures, we introduce a new source separation algorithm based on learning signal representations in a similar fashion to autoencoders.
Our method makes it possible to efficiently extract physically meaningful signals from the entangled data.
This will be illustrated on realistic simulations of the LISA data.
Auteur principal
Elie Leroy
(DRF-IRFU)
