A&A 416, 391-401 (2004)
DOI: 10.1051/0004-6361:20034619
Automatic detection of arcs and arclets formed by gravitational lensing
F. Lenzen1, S. Schindler2 and O. Scherzer11 Institute of Computer Science, University of Innsbruck, Technikerstraße 25, 6020 Innsbruck, Austria
2 Institute for Astrophysics, University of Innsbruck, Technikerstraße 25, 6020 Innsbruck, Austria
(Received 10 July 2003 / Accepted 13 November 2003 )
Abstract
We present an algorithm developed particularly
to detect gravitationally lensed arcs
in clusters of galaxies. This algorithm is suited for automated
surveys as well as individual arc detections. New methods are used for
image smoothing and source detection. The smoothing is performed by so-called
anisotropic diffusion, which maintains the shape of the arcs and does
not disperse them. The algorithm is much more efficient in detecting
arcs than other source finding algorithms and the detection by eye.
Key words: methods: data analysis -- techniques: image processing -- galaxies: clusters: general -- gravitational lensing
Offprint request: F. Lenzen, Frank.Lenzen@uibk.ac.at
SIMBAD Objects
© ESO 2004

BibSonomy
CiteUlike
Del.icio.us
Digg
Facebook
Mendeley
Twitter