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FINDING GRAVITATIONAL ARCS IN WIDE-FIELD SURVEYS: THE MEDIATRIX ARCFINDER AND COMPARISON TO OTHER METHODS IN A SIMULATED SAMPLE
https://doi.org/10.1142/9789814623995_0364Cited by:2 (Source: Crossref)
Abstract:
Strongly Lensed systems, and in particular gravitational arcs, are useful tools for a variety of astrophysical applications. Finding arcs in wide-field surveys such as the Dark Energy Survey (DES) requires automated algorithms to select arc candidates due to the large amount of data. In this contribution we present a new arcfinding method that uses the Mediatrix filamentation method coupled to a neural network to select arc candidates. We carry out a systematic comparison between this method and three other arcfinders available in the literature — Lenzen et al. (2004), Horesh et al. (2005), and More et al. (2012) — on a sample of arc simulated with the PaintArcs method.
