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MIFAL: fully automated Multiple-Image Finder ALgorithm for strong-lens modelling : proof of concept

We outline a simple procedure designed for automatically finding sets of multiple images in strong lensing (SL) clusters. We show that by combining (a) an arc-finding (or source extracting) program, (b) photometric redshift measurements, and (c) a preliminary light-traces-mass lens model, multiple-i...

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Bibliographic Details
Main Authors: Carrasco, Mauricio (Author) , Zitrin, Adi (Author) , Seidel, Gregor (Author)
Format: Article (Journal)
Language:English
Published: 2020
In: Monthly notices of the Royal Astronomical Society
Year: 2019, Volume: 491, Issue: 3, Pages: 3778-3792
ISSN:1365-2966
DOI:10.1093/mnras/stz3040
Online Access:Resolving-System, lizenzpflichtig, Volltext: https://doi.org/10.1093/mnras/stz3040
Verlag, lizenzpflichtig, Volltext: https://academic.oup.com/mnras/article/491/3/3778/5610670
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Author Notes:Mauricio Carrasco, Adi Zitrin and Gregor Seidel
Description
Summary:We outline a simple procedure designed for automatically finding sets of multiple images in strong lensing (SL) clusters. We show that by combining (a) an arc-finding (or source extracting) program, (b) photometric redshift measurements, and (c) a preliminary light-traces-mass lens model, multiple-image systems can be identified in a fully automated (‘blind’) manner.
Item Description:Advance access publication 2019 October 31
Gesehen am 03.04.2020
Physical Description:Online Resource
ISSN:1365-2966
DOI:10.1093/mnras/stz3040

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