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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
earth and planetary sciences
Hubble Frontier Fields: A high-precision strong-lensing analysis of galaxy cluster MACSJ0416.1-2403 using ∼200 multiple images
Monthly Notices of the Royal Astronomical Society, Volume 443, No. 2, Year 2014
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Description
We present a high-precision mass model of the galaxy cluster MACSJ0416.1-2403, based on a strong-gravitational-lensing analysis of the recently acquired Hubble Space Telescope Frontier Fields (HFF) imaging data. Taking advantage of the unprecedented depth provided by HST/Advanced Camera for Survey observations in three passbands, we identify 51 new multiply imaged galaxies, quadrupling the previous census and bringing the grand total to 68, comprising 194 individual lensed images. Having selected a subset of the 57 most securely identified multiply imaged galaxies, we use the LENSTOOL software package to constrain a lens model comprised of two cluster-scale dark-matter haloes and 98 galaxy-scale haloes. Our best-fitting model predicts image positions with an rms error of 0.68 arcsec, which constitutes an improvement of almost a factor of 2 over previous, pre-HFF models of this cluster. We find the total projected mass inside a 200 kpc aperture to be (1.60 ± 0.01) × 1014M⊙, a measurement that offers a three-fold improvement in precision, reaching the per cent level for the first time in any cluster. Finally, we quantify the increase in precision of the derived gravitational magnification of high-redshift galaxies and find an improvement by a factor of ∼2.5 in the statistical uncertainty. Our findings impressively confirm that HFF imaging has indeed opened the domain of high-precision mass measurements for massive clusters of galaxies. © 2014 The Authors. Published by Oxford University Press on behalf of the Royal Astronomical Society.
Authors & Co-Authors
Jauzac, Mathilde
United Kingdom, Durham
Durham University
South Africa, Durban
University of Kwazulu-natal
Clément, Benjamin
United States, Tucson
The University of Arizona
Limousin, Marceau
France, Marseille
Aix Marseille Université
Denmark, Copenhagen
Niels Bohr Institutet
Richard, Johan
France, Villeurbanne
Université Claude Bernard Lyon 1
Jullo, Eric
France, Marseille
Aix Marseille Université
Ebeling, Harald
United States, Honolulu
University Hawaii Institute for Astronomy
Atek, H.
Switzerland, Lausanne
École Polytechnique Fédérale de Lausanne
Kneib, Jean Paul
France, Marseille
Aix Marseille Université
Switzerland, Lausanne
École Polytechnique Fédérale de Lausanne
Knowles, Kenda
South Africa, Durban
University of Kwazulu-natal
Natarajan, Priyamvada
United States, New Haven
Yale University
Eckert, Dominique
Switzerland, Geneva
Faculty of Science
Egami, Eiichi E.
United States, Tucson
The University of Arizona
Massey, Richard James
United Kingdom, Durham
Durham University
Rexroth, Markus
Switzerland, Lausanne
École Polytechnique Fédérale de Lausanne
Statistics
Citations: 104
Authors: 14
Affiliations: 10
Identifiers
Doi:
10.1093/mnras/stu1355
ISSN:
00358711
e-ISSN:
13652966
Study Design
Cross Sectional Study
Study Approach
Quantitative