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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| Hauptverfasser: | , , |
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| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
2020
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| In: |
Monthly notices of the Royal Astronomical Society
Year: 2019, Jahrgang: 491, Heft: 3, Pages: 3778-3792 |
| ISSN: | 1365-2966 |
| DOI: | 10.1093/mnras/stz3040 |
| Online-Zugang: | 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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| Verfasserangaben: | Mauricio Carrasco, Adi Zitrin and Gregor Seidel |
| Zusammenfassung: | 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. |
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| Beschreibung: | Advance access publication 2019 October 31 Gesehen am 03.04.2020 |
| Beschreibung: | Online Resource |
| ISSN: | 1365-2966 |
| DOI: | 10.1093/mnras/stz3040 |