Speaker
Janis Fluri
(ETH Zürich)
Description
It is expected that the data collected from future gravitational wave interferometers such as the Einstein telescope will contain many overlapping signals. Ignoring these overlaps can significantly bias the inferred source parameters of individual signals, such that a joint analysis becomes necessary. We examine the challenges of multi-source parameter inference and discuss potential extensions of current inference methods. Finally, we demonstrate a pipeline based on the DINGO code that can perform fully correlated two-source parameter inference.
Author
Janis Fluri
(ETH Zürich)
Co-authors
Prof.
Anastasios Fragkos
(Université de Genève)
Prof.
Thomas Hofmann
(ETH Zürich)
