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arXiv 2007.11600astro-ph.GAastro-ph.CO
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A Strong-Lensing Model for the WMDF JWST/GTO Very Rich Cluster Abell 1489

Adi Zitrin, Ana Acebron, Dan Coe, Patrick L. Kelly, Anton M. Koekemoer, Mario Nonino, Rogier A. Windhorst, Brenda Frye, Massimo Pascale, Tom Broadhurst, Seth H.… 展开作者

Adi Zitrin, Ana Acebron, Dan Coe, Patrick L. Kelly, Anton M. Koekemoer, Mario Nonino, Rogier A. Windhorst, Brenda Frye, Massimo Pascale, Tom Broadhurst, Seth H. Cohen, Jose M. Diego, Steven L. Finkelstein, Rolf A. Jansen, Rebecca L. Larson, Haojing Yan, Mehmet Alpaslan, Christopher J. Conselice, Alex Griffiths, Louis-Gregory Strolger, J. Stuart B. Wyithe

英文摘要:

We present a first strong-lensing model for the galaxy cluster RM J121218.5+273255.1 ($z=0.35$; hereafter RMJ1212; also known as Abell 1489). This cluster is amongst the top 0.1\% richest clusters in the redMaPPer catalog; it is significantly detected in X-ray and through the Sunyaev-Zel'dovich effect in ROSAT and \emph{Planck} data, respectively; and its optical luminosity distribution implies a very large lens, following mass-to-light scaling relations. Based on these properties it was chosen for the Webb Medium Deep Fields (WMDF) JWST/GTO program. In preparation for this program, RMJ1212 was recently imaged with GMOS on Gemini North and in seven optical and near-infrared bands with the \emph{Hubble Space Telescope}. We use these data to map the inner mass distribution of the cluster, uncovering various sets of multiple images. We also search for high-redshift candidates in the data, as well as for transient sources. We find over a dozen high-redshift ($z\gtrsim6$) candidates based on both photometric redshift and the dropout technique. No prominent ($\gtrsim5 σ$) transients were found in the data between the two HST visits. Our lensing analysis reveals a relatively large lens with an effective Einstein radius of $θ_{E}\simeq32\pm3''$ ($z_{s}=2$), in broad agreement with the scaling-relation expectations. RMJ1212 demonstrates that powerful lensing clusters can be selected in a robust and automated way following the light-traces-mass assumption.

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