Variational models and algorithms for GW denoising and reconstruction: applications

Alejandro Torres-Forné
Max Planck Institute für Gravitationsphysik, Albert-Einstein-Institut

In this talk, we will show the application of the different methods to different GW signals obtained from simulations under different noise conditions. We will
also, show the application of these techniques to real data from detectors, comparing how the results change from Gaussian to real noise. In addition, we will test if the
dictionary learning methods can be applied to classify different classes of signals and glitches.

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