Présidents de session
Session 2
- Astrid Lamberts (Observatoire de la Côte d'Azur)
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Sylvain Marsat (L2I Toulouse, CNRS/IN2P3, Université de Toulouse)05/05/2026 09:00
Massive black hole binaries (MBHBs) are one of the main targets of the LISA mission, with numerous science objectives ranging from astrophysics to comsology. These signals will reach very high signal-to-noise ratios (SNRs), from hundreds up to thousands, opening the possibility of high-precision scientific measurements, such as the search for deviations from General Relativity. However, in...
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Jean-Baptiste Bayle (CEA)05/05/2026 09:20
The LISA L01 pipeline plays a central role in transforming raw measurements into calibrated, science-ready Time-Delay Interferometry (TDI) observables. This stage encompasses data preprocessing for calibration, noise mitigation, and clock synchronization—key steps required before higher-level scientific analysis and global fitting.
In this talk, I will present recent updates of the L01...
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Coen Rondeel (Observatoire de la Côte d'Azur)05/05/2026 09:40
LISA is expected to observe tens of thousands of resolved Galactic Binaries (GBs), requiring data analysis pipelines to handle physically motivated populations and perform rigorous astrophysical inference. To prepare for future data streams, global fit pipelines must be tested against realistic scenarios. The most recent LISA Data Challenge, "Mojito," provides the ideal testbed, introducing...
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Adrien Cogez (CEA/IRFU/DPhP)05/05/2026 10:00
The gravitational memory effect is an unobserved prediction of General Relativity. In our work, we investigate the prospects for detecting this memory effect with LISA from a massive black hole binary merger. Using a Bayesian analysis, we assess the conditions under which the memory signal can be confidently identified in LISA data. Our results highlight a region of the source parameter space...
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Alice Perego (Observatoire de la Côte d'Azur)05/05/2026 10:20
Very short period double white dwarfs (DWDs) in our Milky Way (MW) will be one of the most numerous classes of sources detectable by the upcoming Laser Interferometer Space Antenna (LISA), with its scientific return strongly enhanced by the availability of electromagnetic (EM) counterparts. This makes the present an ideal opportunity to chart the population of (potential) LISA sources across...
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Antsa Rasamoela (L2I Toulouse, CNRS/IN2P3, Université de Toulouse)05/05/2026 10:40
The immense scientific potential of LISA hinges on solving an unprecedented data analysis challenge: the Global Fit problem. This involves the simultaneous inference of numerous overlapping signals and instrument noise, framed in a high-dimensional Bayesian setting.
Current approaches rely on computationally intensive Markov chain Monte Carlo (MCMC) techniques with block Gibbs sampling...
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