A compressed sensing faraday depth reconstruction framework for the MeerKAT MIGHTEE-POL Survey
| Autor: | Cárcamo, M, Scaife, A, Taylor, R, Jarvis, M, Bowles, M, Sekhar, S, Heino, L, Stil, J |
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| Jazyk: | angličtina |
| Rok vydání: | 2022 |
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| Popis: | 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. URSI AT-RASC 2022 Young Scientist Award paper. arXiv admin note: substantial text overlap with arXiv:2205.01413 |
| Databáze: | OpenAIRE |
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