Speaker
Description
The future space-based gravitational-wave detector LISA will deliver rich, information-dense data by listening to the milliHertz universe. The measured time series will contain the imprint of tens of thousands of detectable astrophysical sources, emitting continuous, transient and stochastic signals. Finding and characterising all the resolvable sources is a vast and unsolved task. Detecting a cosmological background hidden behind all these signals would be a breakthrough requiring the finest analysis. Various noises, data artefacts and interruptions will further complicate the search. I will give an overview of the state of the art in LISA data analysis research and discuss the framework offered by the LISA Data Challenges (LDCs) to prepare the community for analysing LISA data. I will insist on the challenges posed by detecting a stochastic gravitational-wave background and try to sketch out the issues we have to clear before the launch.
