One of the sources which Laser Interferometer Space Antenna (LISA) will observe are the signals from the Massive Black Hole Binaries (MBHBs) during their inspiral, merged and ringdown phases. To estimate physical parameters of these systems and their localisations one has to perform some form of Bayesian Inference. The most common approach to do this is through defining the likelihood function...
We investigate a new method for the fast recovery of gravitational wave (GW) signals drowned in noise relevant to LISA physics. For that purpose, we describe an original learning based non-parametric reconstruction of the imprint of GW sources in measurements affected by instrumental noise. We evaluate its performances on the case of galactic binary (GB) signals.
The proposed approach builds...
The future space-based instrument LISA will open a new window to low-frequency gravitational wave signals. In particular, it will detect mergers of massive black hole binaries (MBHB) with high signal-to-noise ratios, enabling unprecedented scientific applications, like multimessenger observations with instruments such as Athena, LSST and SKA, and the use of these joint detections as standard...
Continuous gravitational waves (CWs) from asymmetric spinning neutron stars are among the most interesting, although still undetected, targets of the Advanced LIGO-Virgo detectors. The search for this class of signals is difficult due to their expected weakness, and can be very computationally expensive when the source parameters are not known.
The stochastic group uses fast and consolidated...
The emission of gravitational waves during a Core-Collapse Supernova is directly related to the oscillations of the proto-neutron star created during the collapse. In the case of a real CCSN event, the analysis of the GW data in the ground-based interferometer network could provide valuable information on the dynamics of the PNS. We base our study on a universal model that relates the...
