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Automatic Selection of Multiple Images in the Frontier Field Clusters

Published online by Cambridge University Press:  27 October 2016

Guillaume Mahler ,
Johan Richard ,
Benjamin Clément ,
David Lagattuta  and
Vera Patricio
Guillaume Mahler
Affiliation:
Centre de Recherche Astrophysique de Lyon, Université Lyon 1, Lyon, France email: guillaume.mahler@univ-lyon1.fr
Johan Richard
Affiliation:
Centre de Recherche Astrophysique de Lyon, Université Lyon 1, Lyon, France email: guillaume.mahler@univ-lyon1.fr
Benjamin Clément
Affiliation:
Centre de Recherche Astrophysique de Lyon, Université Lyon 1, Lyon, France email: guillaume.mahler@univ-lyon1.fr
David Lagattuta
Affiliation:
Centre de Recherche Astrophysique de Lyon, Université Lyon 1, Lyon, France email: guillaume.mahler@univ-lyon1.fr
Vera Patricio
Affiliation:
Centre de Recherche Astrophysique de Lyon, Université Lyon 1, Lyon, France email: guillaume.mahler@univ-lyon1.fr
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Abstract

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Probing the central mass distribution of massive galaxy clusters is an important step towards mapping the overall distribution of their dark matter content. Thanks to gravitational lensing and the appearance of multiple images, we can constrain the inner region of galaxy clusters with a high precision. The Frontier Fields (FF) provide us with the deepest HST data ever in such clusters. Currently, most multiple-image systems are found by eye, yet in the FF, we expect hundreds to exist. Thus, in order to deal with such huge amounts of data, we need to develop an automated detection method. I present a new tool to perform this task, MISE (Multiple Image SEarcher), a program which identifies multiple images by combining their specific properties. MISE allows us to confirm or reject multiple images identified visually, but also detect new multiple-image candidates in MACS0416 and A2744, giving us additional constraints on the mass distribution in these clusters. A spectroscopic follow-up of these candidates is currently underway with MUSE.

Keywords

Frontiers Fieldsgravitational lensingmultiple imageslens modellingMACS0416
Type
Contributed Papers
Information
Proceedings of the International Astronomical Union , Volume 11 , General Assembly A29B: Astronomy in Focus , August 2015 , pp. 779 - 780
Copyright
Copyright © International Astronomical Union 2016 

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