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.
@article{arxiv.1601.00067,
title = {Point Source Detection Software in the SKA Era},
author = {Siamak Dehghan and Melanie Johnston-Hollitt and Christopher Hollitt},
journal= {arXiv preprint arXiv:1601.00067},
year = {2016}
}
Comments
4 pages, 2 figures, in press in ADASS XXV, edited by N. P. F. Lorente, & K. Shortridge (San Francisco: ASP), ASP Conf. Ser