Conference item
A compressed sensing faraday depth reconstruction framework for the MeerKAT MIGHTEE-POL Survey
- Abstract:
- In this work we present a novel compute framework for reconstructing Faraday depth signals from noisy and incomplete spectro-polarimetric radio datasets. This framework is based on a compressed-sensing approach that addresses a number of outstanding issues in Faraday depth reconstruction in a systematic and scaleable manner. We apply this framework to early-release data from the MeerKAT MIGHTEE polarisation survey.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
Actions
Access Document
- Files:
-
-
(Preview, Accepted manuscript, pdf, 705.6KB, Terms of use)
-
- Publisher copy:
- 10.23919/AT-AP-RASC54737.2022.9814329
Authors
- Publisher:
- IEEE
- Host title:
- Proceedings of the 3rd URSI Atlantic and Asia Pacific Radio Science Meeting (AT-AP-RASC 2022)
- Pages:
- 1-4
- Publication date:
- 2022-07-06
- Event title:
- 3rd URSI Atlantic and Asia Pacific Radio Science Meeting (AT-AP-RASC 2022)
- Event location:
- Gran Canaria, Spain
- Event website:
- https://www.ursi.org/event.php?id=394
- Event start date:
- 2022-05-29
- Event end date:
- 2022-06-03
- DOI:
- EISBN:
- 978-9-4639-6-8058
- ISBN:
- 978-1-6654-9986-6
- Language:
-
English
- Keywords:
- Pubs id:
-
1273838
- Local pid:
-
pubs:1273838
- Deposit date:
-
2022-09-05
Terms of use
- Copyright date:
- 2022
- Notes:
- This paper was presented at the 3rd URSI Atlantic and Asia Pacific Radio Science Meeting (AT-AP-RASC 2022), 29th May - 3rd June 2022, Gran Canaria, Spain. This is the accepted manuscript version of the article. The final version is available online from IEEE at: https://doi.org/10.23919/AT-AP-RASC54737.2022.9814329
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