Point Source Detection Software in the SKA Era

The generation of a sky model for calibration of Square Kilometre Array observations requires a fast method of automatic point source detection and characterisation. In recent years, point source detection in two-dimensional images has been implemented by using several thresholding approaches. In th...

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Published in:arXiv.org 2016-01
Main Authors: Dehghan, Siamak, Johnston-Hollitt, Melanie, Hollitt, Christopher
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Language:English
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Algorithms
Image detection
Sky models
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Johnston-Hollitt, Melanie
Hollitt, Christopher
description The generation of a sky model for calibration of Square Kilometre Array observations requires a fast method of automatic point source detection and characterisation. In recent years, point source detection in two-dimensional images has been implemented by using several thresholding approaches. In the first phase of the SKA we will need a fast implementation capable of dealing with very large images (80,000 x 80,000 pixels). While the underlying algorithms scale suitably with image size, the present implementations do not. We make some comments on the pertinent trade-offs for scaling these implementations to SKA-levels.
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subjects Algorithms
Image detection
Sky models
title Point Source Detection Software in the SKA Era
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