UCL Discovery Stage
UCL home » Library Services » Electronic resources » UCL Discovery Stage

w-Stacking w-projection hybrid algorithm for wide-field interferometric imaging: implementation details and improvements

Pratley, L; Johnston-Hollitt, M; McEwen, JD; (2020) w-Stacking w-projection hybrid algorithm for wide-field interferometric imaging: implementation details and improvements. Publications of the Astronomical Society of Australia , 37 , Article e041. 10.1017/pasa.2020.28. Green open access

[thumbnail of 1903.06555v1.pdf]
Preview
Text
1903.06555v1.pdf - Accepted Version

Download (4MB) | Preview

Abstract

We present a detailed discussion of the implementation strategies for a recently developed w-stacking w-projection hybrid algorithm used to reconstruct wide-field interferometric images. In particular, we discuss the methodology used to deploy the algorithm efficiently on a supercomputer via use of a Message Passing Interface (MPI) k-means clustering technique to achieve efficient construction and application of non-coplanar effects. Additionally, we show that the use of conjugate symmetry can increase the w-stacking efficiency, decrease the time required to construction, and apply w-projection kernels for large data sets. We then demonstrate this implementation by imaging an interferometric observation of Fornax A from the Murchison Widefield Array (MWA). We perform an exact non-coplanar wide-field correction for 126.6 million visibilities using 50 nodes of a computing cluster. The w-projection kernel construction takes only 15 min prior to reconstruction, demonstrating that the implementation is both fast and efficient.

Type: Article
Title: w-Stacking w-projection hybrid algorithm for wide-field interferometric imaging: implementation details and improvements
Open access status: An open access version is available from UCL Discovery
DOI: 10.1017/pasa.2020.28
Publisher version: http://dx.doi.org/10.1017/pasa.2020.28
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: techniques: image processing, techniques: interferometric, methods: data analysis
UCL classification: UCL
UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Dept of Space and Climate Physics
URI: https://discovery-pp.ucl.ac.uk/id/eprint/10113938
Downloads since deposit
2,128Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item