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Offline and online reconstruction for radio interferometric imaging

Offline and online reconstruction for radio interferometric imaging
Offline and online reconstruction for radio interferometric imaging

Radio astronomy is transitioning to a big-data era due to the emerging generation of radio interferometric (RI) telescopes, such as the Square Kilometre Array (SKA), which will acquire massive volumes of data. In this article we review methods proposed recently to resolve the ill-posed inverse problem of imaging the raw visibilities acquired by RI telescopes in the big-data scenario. We focus on the recently proposed online reconstruction method [4] and the considerable savings in data storage requirements and computational cost that it yields.

Institute of Electrical and Electronics Engineers Inc.
Cai, Xiaohao
de483445-45e9-4b21-a4e8-b0427fc72cee
Pratley, Luke
ef3709da-0dac-4ce5-bf00-ac3dc2384f9e
McEwen, Jason D.
64c6269a-fe40-41d7-8b0c-d3c9ad920175
Cai, Xiaohao
de483445-45e9-4b21-a4e8-b0427fc72cee
Pratley, Luke
ef3709da-0dac-4ce5-bf00-ac3dc2384f9e
McEwen, Jason D.
64c6269a-fe40-41d7-8b0c-d3c9ad920175

Cai, Xiaohao, Pratley, Luke and McEwen, Jason D. (2020) Offline and online reconstruction for radio interferometric imaging. In 2020 33rd General Assembly and Scientific Symposium of the International Union of Radio Science, URSI GASS 2020. Institute of Electrical and Electronics Engineers Inc. 4 pp . (doi:10.23919/URSIGASS49373.2020.9232233).

Record type: Conference or Workshop Item (Paper)

Abstract

Radio astronomy is transitioning to a big-data era due to the emerging generation of radio interferometric (RI) telescopes, such as the Square Kilometre Array (SKA), which will acquire massive volumes of data. In this article we review methods proposed recently to resolve the ill-posed inverse problem of imaging the raw visibilities acquired by RI telescopes in the big-data scenario. We focus on the recently proposed online reconstruction method [4] and the considerable savings in data storage requirements and computational cost that it yields.

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More information

Published date: 1 August 2020
Additional Information: © 2020 URSI.
Venue - Dates: 33rd General Assembly and Scientific Symposium of the International Union of Radio Science, URSI GASS 2020, , Rome, Italy, 2020-08-29 - 2020-09-05

Identifiers

Local EPrints ID: 458041
URI: http://eprints.soton.ac.uk/id/eprint/458041
PURE UUID: 7561b718-754c-4099-a780-3d93c1ce5f9d

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Date deposited: 27 Jun 2022 16:58
Last modified: 27 Jun 2022 16:58

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Contributors

Author: Xiaohao Cai
Author: Luke Pratley
Author: Jason D. McEwen

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