Orateur
Description
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 in which memory detection is likely, and identify a simplified criterion that enables the detectability of individual events to be quickly estimated. We also compare these results with simulated populations of supermassive black hole binaries in order to estimate the number of memory events that are expected to be detectable over the lifetime of LISA. This enables us to contextualise the results within a realistic astrophysical framework. Overall, our analysis shows that LISA could detect the memory effect and constrain its amplitude, providing a probe for fundamental physics.