Hubble Frontier Fields : A High-Precision Strong-Lensing Mass Model of the Massive Galaxy Cluster Abell 2744 using 180 Multiple Images
Mathilde Jauzac (Durham, ACRU), Johan Richard (CRAL), Eric Jullo, (LAM), Benjamin Cl\'ement (CRAL), Marceau Limousin (LAM), Jean-Paul Kneib, (EPFL, LAM), Harald Ebeling (IfA, Hawaii), Steve Rodney (JHU), Priyamvada, Natarajan (Yale), Hakim Atek (EPFL), Richard Massey (Durham)

TL;DR
This paper presents a highly precise mass model of galaxy cluster Abell 2744 using deep Hubble Frontier Fields data, identifying new multiple images and improving lensing predictions to aid studies of the early universe.
Contribution
The study introduces a refined parametric mass model of Abell 2744 with a lower RMS error and higher magnification accuracy, utilizing new multiple images and correcting previous misidentifications.
Findings
Identified 34 new multiply imaged galaxies, totaling 61 systems.
Achieved a 0.69 arcsecond RMS error in image position predictions.
Measured the cluster's mass with 1% precision within 200 kpc.
Abstract
We present a high-precision mass model of galaxy cluster Abell 2744, based on a strong-gravitational-lensing analysis of the \emph{Hubble Space Telescope Frontier Fields} (HFF) imaging data, which now include both \emph{Advanced Camera for Surveys} and \emph{Wide-Field Camera 3} observations to the final depth. Taking advantage of the unprecedented depth of the visible and near-infrared data, we identify 34 new multiply imaged galaxies, bringing the total to 61, comprising 181 individual lensed images. In the process, we correct previous erroneous identifications and positions of multiple systems in the northern part of the cluster core. With the \textsc{Lenstool} software and the new sets of multiple images, we model the cluster using two cluster-scale dark matter halos plus galaxy-scale halos for the cluster members. Our best-fit model predicts image positions with an \emph{RMS} error…
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