Joint cluster reconstructions - combing free-form lensing and X-rays

• Verfasst von: Huber, Korbinian [VerfasserIn]
• Verfasst von: Tchernin, Céline [VerfasserIn]
• Verfasst von: Merten, Julian [VerfasserIn]
• Verfasst von: Hilbert, Stefan [VerfasserIn]
• Verfasst von: Bartelmann, Matthias [VerfasserIn]
• Titel: Joint cluster reconstructions - combing free-form lensing and X-rays
• Verf.angabe: Korbinian Huber, Céline Tchernin, Julian Merten, Stefan Hilbert, and Matthias Bartelmann
• E-Jahr: 2019
• Jahr: 15 July 2019
• Umfang: 14 S.
• Fussnoten: Gesehen am 28.04.2020
• Titel Quelle: Enthalten in: Astronomy and astrophysics
• Ort Quelle: Les Ulis : EDP Sciences, 1969
• Jahr Quelle: 2019
• Band/Heft Quelle: 627(2019) Artikel-Nummer A143, 14 Seiten
• ISSN Quelle: 1432-0746
• DOI: doi:10.1051/0004-6361/201834928
• Datenträger: Online-Ressource
• Sprache: eng
• K10plus-PPN: 1696304598

Abstract

Galaxy clusters provide a multitude of observational data across wavelengths, and their structure and morphology are of considerable interest in cosmology as well as astrophysics.<i>Aims<i/>. We develop a framework that allows the combination of lensing and non-lensing observations in a free-form and mesh-free approach to infer the projected mass distribution of individual galaxy clusters. This method can be used to test common assumptions on the morphology of clusters in parametric models.<i>Methods<i/>. We make use of the lensing reconstruction code SAWLENS2, and expand its capabilities by incorporating an estimate of the projected gravitational potential based on X-ray data that are deprojected using the local Richardson-Lucy method and used to infer the Newtonian potential of the cluster. We discuss how potentially arising numerical artefacts can be treated.<i>Results<i/>. We demonstrate the feasibility of our method on a simplified mock Navarro-Frenk-White (NFW) halo and on a cluster from a realistic hydrodynamical simulation. We show how the combination of X-ray and weak lensing data can affect a free-form reconstruction, improving the accuracy in the central region in some cases by a factor of two.