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Joint Bayesian Source and Lens Reconstruction for Multi-messenger Binary Black Holes

Laura Uronen, Tian Li, Justin Janquart, Hemanta Phurailatpam, Jason Poon, Thomas Collett, Leon Koopmans, Otto Hannuksela

Abstract

If a gravitational wave event is lensed by a cluster or galaxy in our line-of-sight, it is expected that its host galaxy would also be lensed. Therefore, connecting lensed gravitational wave events even without direct optical counterpart could be feasible by identifying matching lenses in electromagnetic data and surveys. Seminal work has demonstrated the potential of this approach in LVK, Euclid, HST, JWST, and CSST mock data, motivating the need for a dedicated software package to perform such analyses in practice. Here, we present the alpha-version of silmarel, the first software package designed to bridge these cosmic signals and enable us analysis of real LVK gravitational-wave binaries together with telescope observations from instruments like \textit{Euclid} or \textit{Hubble} Space Telescope, and the future of multimessenger binary black hole lensing.

Joint Bayesian Source and Lens Reconstruction for Multi-messenger Binary Black Holes

Abstract

If a gravitational wave event is lensed by a cluster or galaxy in our line-of-sight, it is expected that its host galaxy would also be lensed. Therefore, connecting lensed gravitational wave events even without direct optical counterpart could be feasible by identifying matching lenses in electromagnetic data and surveys. Seminal work has demonstrated the potential of this approach in LVK, Euclid, HST, JWST, and CSST mock data, motivating the need for a dedicated software package to perform such analyses in practice. Here, we present the alpha-version of silmarel, the first software package designed to bridge these cosmic signals and enable us analysis of real LVK gravitational-wave binaries together with telescope observations from instruments like \textit{Euclid} or \textit{Hubble} Space Telescope, and the future of multimessenger binary black hole lensing.
Paper Structure (7 sections, 5 equations, 1 figure)

This paper contains 7 sections, 5 equations, 1 figure.

Figures (1)

  • Figure 1: Reconstruction using the silmarel likelihood with lenstronomy lens reconstruction. From left to right, the plots show the initial simulated observation, the final reconstructed lens, and the localisation in the source plane showing the posteriors (black contours), true source (pink star), the source profile and lens caustics.