We present a new strong lensing (SL) model of the Hubble Frontier Fields (HFF) galaxy cluster Abell 2744, at z = 0.3072, by exploiting archival Hubble Space Telescope (HST) multiband imaging and Multi Unit Spectroscopic Explorer (MUSE) follow-up spectroscopy. The lens model considers 90 spectroscopically confirmed multiple images (from 30 background sources), representing the largest secure sample for this cluster field prior to the recently acquired James Webb Space Telescope (JWST) observations. The inclusion of the substructures within several extended sources as model constraints allowed us to accurately characterize the inner total mass distribution of the cluster and the position of the cluster critical lines. We included the lensing contribution of 225 cluster members, 202 of which are spectroscopically confirmed. We complemented this sample with 23 photometric member galaxies that are identified with a convolution neural network methodology with a high degree of purity. We also measured the internal velocity dispersion of 85 cluster galaxies, down to mF160W = 22, to independently estimate the role of the subhalo mass component in the lens model. We investigated the effect of the cluster environment on the total mass reconstruction of the cluster core with two different mass parameterizations. We considered the mass contribution from three external clumps, either based on previous weak lensing studies, or extended HST imaging of luminous members around the cluster core. In the latter case, the observed positions of the multiple images were better reproduced, with a remarkable accuracy of 0.37, a factor of 2 smaller than previous lens models, which exploited the same HST and MUSE data sets. As part of this work, we developed and made publicly available a Strong Lensing Online Tool (SLOT) to exploit the predictive power and the full statistical information of this and future models, through a simple graphical interface. We plan to apply our new high-precision SL model to the first analysis of the Grism Lens-Amplified Survey from Space-JWST-Early Release Science (GLASS-JWST-ERS) program, specifically to measure the intrinsic physical properties of high-z galaxies from robust magnification maps.

New high-precision strong lensing modeling of Abell 2744 / P. Bergamini, A. Acebron Munoz, C. Grillo, P. Rosati, G.B. Caminha, A. Mercurio, E. Vanzella, G. Angora, G. Brammer, M. Meneghetti, M. Nonino. - In: ASTRONOMY & ASTROPHYSICS. - ISSN 1432-0746. - 670:(2023), pp. A60.1-A60.15. [10.1051/0004-6361/202244575]

New high-precision strong lensing modeling of Abell 2744

P. Bergamini
Primo
;
A. Acebron Munoz
Secondo
;
C. Grillo;
2023

Abstract

We present a new strong lensing (SL) model of the Hubble Frontier Fields (HFF) galaxy cluster Abell 2744, at z = 0.3072, by exploiting archival Hubble Space Telescope (HST) multiband imaging and Multi Unit Spectroscopic Explorer (MUSE) follow-up spectroscopy. The lens model considers 90 spectroscopically confirmed multiple images (from 30 background sources), representing the largest secure sample for this cluster field prior to the recently acquired James Webb Space Telescope (JWST) observations. The inclusion of the substructures within several extended sources as model constraints allowed us to accurately characterize the inner total mass distribution of the cluster and the position of the cluster critical lines. We included the lensing contribution of 225 cluster members, 202 of which are spectroscopically confirmed. We complemented this sample with 23 photometric member galaxies that are identified with a convolution neural network methodology with a high degree of purity. We also measured the internal velocity dispersion of 85 cluster galaxies, down to mF160W = 22, to independently estimate the role of the subhalo mass component in the lens model. We investigated the effect of the cluster environment on the total mass reconstruction of the cluster core with two different mass parameterizations. We considered the mass contribution from three external clumps, either based on previous weak lensing studies, or extended HST imaging of luminous members around the cluster core. In the latter case, the observed positions of the multiple images were better reproduced, with a remarkable accuracy of 0.37, a factor of 2 smaller than previous lens models, which exploited the same HST and MUSE data sets. As part of this work, we developed and made publicly available a Strong Lensing Online Tool (SLOT) to exploit the predictive power and the full statistical information of this and future models, through a simple graphical interface. We plan to apply our new high-precision SL model to the first analysis of the Grism Lens-Amplified Survey from Space-JWST-Early Release Science (GLASS-JWST-ERS) program, specifically to measure the intrinsic physical properties of high-z galaxies from robust magnification maps.
English
Cosmology: observations; Dark matter; Galaxies: clusters: general; Galaxies: clusters: individual: Abell 2744; Gravitational lensing: strong;
Settore FIS/05 - Astronomia e Astrofisica
Articolo
Esperti anonimi
Pubblicazione scientifica
   Precision Cosmography with Strong Lensing Galaxy Clusters (ROSEAU)
   ROSEAU
   EUROPEAN COMMISSION
   H2020
   101024195

   Cosmology and Fundamental Physics: illuminating the Dark Universe with Euclid
   MINISTERO DELL'ISTRUZIONE E DEL MERITO
   2015W7KAWC_004

   GRAvitational lensing in galaxy clusters next-generation proposAL
   GRAAL
   MINISTERO DELL'ISTRUZIONE E DEL MERITO
   2020SKSTHZ_001
2023
3-feb-2023
EDP Sciences
670
A60
1
15
15
Pubblicato
Periodico con rilevanza internazionale
datacite
scopus
crossref
Aderisco
info:eu-repo/semantics/article
New high-precision strong lensing modeling of Abell 2744 / P. Bergamini, A. Acebron Munoz, C. Grillo, P. Rosati, G.B. Caminha, A. Mercurio, E. Vanzella, G. Angora, G. Brammer, M. Meneghetti, M. Nonino. - In: ASTRONOMY & ASTROPHYSICS. - ISSN 1432-0746. - 670:(2023), pp. A60.1-A60.15. [10.1051/0004-6361/202244575]
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P. Bergamini, A. Acebron Munoz, C. Grillo, P. Rosati, G.B. Caminha, A. Mercurio, E. Vanzella, G. Angora, G. Brammer, M. Meneghetti, M. Nonino
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/1020414
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