Issue |
A&A
Volume 682, February 2024
|
|
---|---|---|
Article Number | A146 | |
Number of page(s) | 19 | |
Section | Numerical methods and codes | |
DOI | https://doi.org/10.1051/0004-6361/202348256 | |
Published online | 15 February 2024 |
Introducing LensCharm
A charming Bayesian strong lensing reconstruction framework
1
Ludwig-Maximilians-Universität München,
Geschwister-Scholl-Platz 1,
80539
Munich,
Germany
e-mail: jruestig@posteo.de
2
Max Planck Institute for Astrophysics,
Karl-Schwarzschild-Straße 1,
85748
Garching,
Germany
3
Excellence Cluster ORIGINS,
Boltzmannstraße 2,
85748
Garching,
Germany
4
Technische Universität München,
Boltzmannstraße 3,
85748
Garching,
Germany
Received:
12
October
2023
Accepted:
6
December
2023
Strong gravitational lensing, a phenomenon rooted in the principles of general relativity, grants us a unique window into the distant cosmos by offering a direct probe into dark matter and providing independent constraints on the Hubble constant. These research objectives call for the utmost precision in the estimation of the lens mass and the source brightness distributions. Recent strides in telescope technology promise to provide an abundance of yet undiscovered strong-lensing systems, presenting observations of unprecedented quality. Realizing the full potential of these advancements hinges on achieving the highest fidelity in both source and lens reconstruction. In this study, we introduce LensCharm, a novel Bayesian approach for strong-lensing signal reconstruction. Unlike more prevalent methods, LensCharm enables the nonparametric reconstruction of both the source and lens concurrently, along with their associated uncertainties. We showcase the distinctive strengths of our approach through comprehensive analyses of both real-world and simulated astronomical data, underscoring its superiority in achieving precise reconstructions. We have made LensCharm publicly accessible, envisioning its empowerment of the next generation of astronomical observation reconstructions and cosmological constraints derived from strong gravitational lensing.
Key words: gravitation / gravitational lensing: strong / methods: data analysis / galaxies: high-redshift / dark matter / infrared: galaxies
© The Authors 2024
Open Access article, published by EDP Sciences, under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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