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The Detection and Statistics of Giant Arcs Behind CLASH Clusters

Xu, Bingxiao and Postman, Marc and Meneghetti, Massimo and Seitz, Stella and Zitrin, Adi and Merten, Julian and Maoz, Dani and Frye, Brenda and Umetsu, Keiichi and Zheng, Wei and Bradley, Larry and Vega, Jesus and Koekemoer, Anton (2016) The Detection and Statistics of Giant Arcs Behind CLASH Clusters. Astrophysical Journal, 817 (2). Art. No. 85. ISSN 0004-637X. https://resolver.caltech.edu/CaltechAUTHORS:20160307-114526325

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Abstract

We developed an algorithm to find and characterize gravitationally lensed galaxies (arcs) to perform a comparison of the observed and simulated arc abundance. Observations are from the Cluster Lensing And Supernova survey with Hubble (CLASH). Simulated CLASH images are created using the MOKA package and also clusters selected from the high-resolution, hydrodynamical simulations, MUSIC, over the same mass and redshift range as the CLASH sample. The algorithm's arc elongation accuracy, completeness, and false positive rate are determined and used to compute an estimate of the true arc abundance. We derive a lensing efficiency of 4 ± 1 arcs (with length ≥6'' and length-to-width ratio ≥7) per cluster for the X-ray-selected CLASH sample, 4 ± 1 arcs per cluster for the MOKA-simulated sample, and 3 ± 1 arcs per cluster for the MUSIC-simulated sample. The observed and simulated arc statistics are in full agreement. We measure the photometric redshifts of all detected arcs and find a median redshift z_s = 1.9 with 33% of the detected arcs having z_s > 3. We find that the arc abundance does not depend strongly on the source redshift distribution but is sensitive to the mass distribution of the dark matter halos (e.g., the c–M relation). Our results show that consistency between the observed and simulated distributions of lensed arc sizes and axial ratios can be achieved by using cluster-lensing simulations that are carefully matched to the selection criteria used in the observations.


Item Type:Article
Related URLs:
URLURL TypeDescription
http://dx.doi.org/10.3847/0004-637X/817/2/85DOIArticle
http://iopscience.iop.org/article/10.3847/0004-637X/817/2/85/metaPublisherArticle
http://arxiv.org/abs/1511.04002arXivDiscussion Paper
ORCID:
AuthorORCID
Postman, Marc0000-0002-9365-7989
Meneghetti, Massimo0000-0003-1225-7084
Zitrin, Adi0000-0002-0350-4488
Umetsu, Keiichi0000-0002-7196-4822
Koekemoer, Anton0000-0002-6610-2048
Additional Information:© 2016 The American Astronomical Society. Received 2015 June 26; accepted 2015 November 7; published 2016 January 22. We thank the referee for providing helpful comments and suggestions that significantly improved the paper. We thank Carlo Giocoli for making the MOKA code accessible and for his generous help in simulating the clusters. We thank the MUSIC group for also providing us with simulated cluster data sets. We acknowledge Matthias Bartelmann, Dan Coe, Colin Norman, and Brice Menard for many useful discussions. B.X. is supported by NASA funding received for the CLASH Multi- Cycle Treasury Program (HST-GO-12065). A.Z. is supported by NASA through Hubble Fellowship grant #HST-HF2–51334.001-A awarded by STScI. J.M. is supported by the People Programme (Marie Curie Actions) of the European Union Seventh Framework Programme (FP7/2007–2013) under REA grant agreement number 627288. The results in this paper are based on observations made with the NASA/ESA Hubble Space Telescope. The Space Telescope Science Institute is operated by the Association of Universities for Research in Astronomy, Inc., under NASA contract NAS 5-26555.
Funders:
Funding AgencyGrant Number
NASAHST-GO-12065
NASA Hubble FellowshipHST-HF2-51334.001-A
Marie Curie Fellowship627288
NASANAS 5-26555
Subject Keywords:galaxies: clusters: general; gravitational lensing: strong; methods: numerical; methods: observational; methods: statistical
Issue or Number:2
Record Number:CaltechAUTHORS:20160307-114526325
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20160307-114526325
Official Citation:Bingxiao Xu et al 2016 ApJ 817 85
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:65126
Collection:CaltechAUTHORS
Deposited By: Ruth Sustaita
Deposited On:07 Mar 2016 21:10
Last Modified:03 Oct 2019 09:44

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