Source Finding in the Era of the SKA (Precursors): Aegean 2.0

In the era of the SKA precursors, telescopes are producing deeper, larger images of the sky on increasingly small time-scales. The greater size and volume of images place an increased demand on the software that we use to create catalogues, and so our source finding algorithms need to evolve accordi...

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Main Authors: Hancock, P., Trott, Cathryn, Hurley-Walker, Natasha
Format: Journal Article
Published: Cambridge University Press 2018
Online Access:http://hdl.handle.net/20.500.11937/67297
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author Hancock, P.
Trott, Cathryn
Hurley-Walker, Natasha
author_facet Hancock, P.
Trott, Cathryn
Hurley-Walker, Natasha
author_sort Hancock, P.
building Curtin Institutional Repository
collection Online Access
description In the era of the SKA precursors, telescopes are producing deeper, larger images of the sky on increasingly small time-scales. The greater size and volume of images place an increased demand on the software that we use to create catalogues, and so our source finding algorithms need to evolve accordingly. In this paper, we discuss some of the logistical and technical challenges that result from the increased size and volume of images that are to be analysed, and demonstrate how the Aegean source finding package has evolved to address these challenges. In particular, we address the issues of source finding on spatially correlated data, and on images in which the background, noise, and point spread function vary across the sky. We also introduce the concept of forced or prioritised fitting.
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institution Curtin University Malaysia
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publishDate 2018
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spelling curtin-20.500.11937-672972019-03-20T00:34:24Z Source Finding in the Era of the SKA (Precursors): Aegean 2.0 Hancock, P. Trott, Cathryn Hurley-Walker, Natasha In the era of the SKA precursors, telescopes are producing deeper, larger images of the sky on increasingly small time-scales. The greater size and volume of images place an increased demand on the software that we use to create catalogues, and so our source finding algorithms need to evolve accordingly. In this paper, we discuss some of the logistical and technical challenges that result from the increased size and volume of images that are to be analysed, and demonstrate how the Aegean source finding package has evolved to address these challenges. In particular, we address the issues of source finding on spatially correlated data, and on images in which the background, noise, and point spread function vary across the sky. We also introduce the concept of forced or prioritised fitting. 2018 Journal Article http://hdl.handle.net/20.500.11937/67297 10.1017/pasa.2018.3 Cambridge University Press fulltext
spellingShingle Hancock, P.
Trott, Cathryn
Hurley-Walker, Natasha
Source Finding in the Era of the SKA (Precursors): Aegean 2.0
title Source Finding in the Era of the SKA (Precursors): Aegean 2.0
title_full Source Finding in the Era of the SKA (Precursors): Aegean 2.0
title_fullStr Source Finding in the Era of the SKA (Precursors): Aegean 2.0
title_full_unstemmed Source Finding in the Era of the SKA (Precursors): Aegean 2.0
title_short Source Finding in the Era of the SKA (Precursors): Aegean 2.0
title_sort source finding in the era of the ska (precursors): aegean 2.0
url http://hdl.handle.net/20.500.11937/67297