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Galaxies 2018, 6(4), 120; https://doi.org/10.3390/galaxies6040120

Science Pipelines for the Square Kilometre Array

Oxford e-Research Centre (OeRC), Department of Engineering Science, University of Oxford, Oxford OX1 3QG, UK
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Received: 5 October 2018 / Revised: 14 November 2018 / Accepted: 15 November 2018 / Published: 20 November 2018
(This article belongs to the Special Issue The Power of Faraday Tomography)
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Abstract

The Square Kilometre Array (SKA) will be both the largest radio telescope ever constructed and the largest Big Data project in the known Universe. The first phase of the project will generate on the order of five zettabytes of data per year. A critical task for the SKA will be its ability to process data for science, which will need to be conducted by science pipelines. Together with polarization data from the LOFAR Multifrequency Snapshot Sky Survey (MSSS), we have been developing a realistic SKA-like science pipeline that can handle the large data volumes generated by LOFAR at 150 MHz. The pipeline uses task-based parallelism to image, detect sources and perform Faraday tomography across the entire LOFAR sky. The project thereby provides a unique opportunity to contribute to the technological development of the SKA telescope, while simultaneously enabling cutting-edge scientific results. In this paper, we provide an update on current efforts to develop a science pipeline that can enable tight constraints on the magnetised large-scale structure of the Universe. View Full-Text
Keywords: radio astronomy; interferometry; square kilometre array; big data; Faraday tomography radio astronomy; interferometry; square kilometre array; big data; Faraday tomography
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Farnes, J.; Mort, B.; Dulwich, F.; Salvini, S.; Armour, W. Science Pipelines for the Square Kilometre Array. Galaxies 2018, 6, 120.

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