One of the main challenges of space-based interferometry for gravitational-wave detection is the cancellation of laser frequency noise, whose power culminates eight orders of magnitude above the gravitational-wave signal. The standard technique to remove this noise is time-delay interferometry (TDI), a set of linear combinations of delayed phasemeter measurements tailored to cancel noise...
The ESA LISA mission, is going to fly in the early 2030s, and it is going to be the first Gravitational Wave observatory in space. In contrast to the present ground based detectors, LISA is going to be a signal-dominated laboratory. This means that we expect that the data-stream will be populated with gravitational wave signals overlapping in time, and in frequency. In addition, different...
LISA is a future space-based gravitational wave detector that will complement the LIGO/Virgo observations at much lower frequencies, enabling the detection (among other targets) of coalescences of massive black hole binaries (MBHB). Most MBHB signals are expected to be short and merger-dominated. The development of data analysis tools for LISA is still in its exploratory phase, and it is...
The Pulsar Timing Array (PTA) collaboration aims to detect low frequency gravitational wave signals using high precision timing observations of millisecond pulsars. The international collaboration combines data from several radio telescopes distributed throughout the world to enhance detection sensitivity. The data analysis pipelines are usually computationally expensive because of complex...
Pulsar Timing Array (PTA) projects aim at detecting a very low-frequency gravitational wave stochastic background (GWB) by probing its imprints in times of arrival (ToAs) of radio signals from pulsars. The expected signature is characterized by a quadrupolar angular correlation between positions of pulsars in the sky. The pulsar timing data reduction involves a transformation of geocentric...
The detection of galactic binaries as sources of gravitational waves promises an unprecedented wealth of information about these systems, but also raises several challenges in signal processing. In particular, the variety of sources and the presence of both planned and unplanned gaps call for the development of robust methods. We describe here an original non-parametric reconstruction of the...
