Precise Strong Lensing Mass Modeling of Four Hubble Frontier Fields Clusters and a Sample of Magnified High-Redshift Galaxies
Ryota Kawamata, Masamune Oguri, Masafumi Ishigaki, Kazuhiro Shimasaku,, and Masami Ouchi

TL;DR
This paper presents precise strong lensing mass models for four Hubble Frontier Fields clusters, improving image reproduction accuracy and enabling detailed studies of faint high-redshift galaxies through magnification estimates.
Contribution
The study provides refined mass models for four HFF clusters using a large sample of multiple images, achieving lower RMS errors and predicting new lensed images, enhancing the understanding of cluster lensing effects.
Findings
Mass models reproduce observed images with RMS errors of ~0.4 arcsec.
Predicted a new image of SN Refsdal consistent with observations.
Identified ~120 high-redshift galaxies, with about 20 magnified by over 10 times.
Abstract
We conduct precise strong lensing mass modeling of four Frontier Fields (HFF) clusters, Abell2744, MACSJ0416.12403, MACSJ0717.53745, and MACSJ1149.62223, for which HFF imaging observations are completed. We construct a refined sample of more than 100 multiple images for each cluster by taking advantage of the full depth HFF images, and conduct mass modeling using the software, which assumes simply parametrized mass distributions. Our mass modeling also exploits a magnification constraint from the lensed Type Ia supernova HFF14Tom for Abell2744 and positional constraints from the multiple images S1S4 of the lensed supernova SN Refsdal for MACSJ1149.62223. We find that our best-fitting mass models reproduce the observed image positions with RMS errors of arcsec, which are smaller than RMS errors in previous…
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