A compressed sensing faraday depth reconstruction framework for the MeerKAT MIGHTEE-POL Survey

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 system...

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书目详细资料
Main Authors: Cárcamo, M, Scaife, A, Taylor, R, Jarvis, M, Bowles, M, Sekhar, S, Heino, L, Stil, J
格式: Conference item
语言:English
出版: IEEE 2022
实物特征
总结: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.