Mathematics – Probability
Scientific paper
Mar 2008
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2008aas...21116011s&link_type=abstract
American Astronomical Society, AAS Meeting #211, #160.11
Mathematics
Probability
Scientific paper
An algorithm designed to detect gravitational arcs in astronomical images is presented. It consists of an algorithm for the detection of elongated features such as lines and curves in images and a filter for the removal of spurious detections, e.g. diffraction spikes, groups of stars or edge on galaxies. The detection algorithm can recognise features even if their surface brightness is near the pixel noise in the image, and processes images of 3000x3000 pixels in about 5 seconds on an ordinary PC. This is achieved by computing ellipticities of cells distributed over the image, inferring the orientation of any underlying structure and creating objects from highly correlated cells. The filter is further processing each cell part of a detection and computes its probability for lying on a curve. This can be used to remove some spurious detections, e.g. connected point sources. A cross-validation with star and galaxie catalogues is then used to remove also unlensed edge on galaxies and optical artefacts from stars.
Bartelmann Matthias
Seidel Gregor
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