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A Compressed Sensing Faraday Depth Reconstruction Framework for the MeerKAT MIGHTEE-POL Survey

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arxiv 2206.03283 v1 pith:GFYILBFR submitted 2022-06-07 astro-ph.IM astro-ph.GA

A Compressed Sensing Faraday Depth Reconstruction Framework for the MeerKAT MIGHTEE-POL Survey

Miguel C\'arcamo , Anna Scaife , Russ Taylor , Matt Jarvis , Micah Bowles , Srikrishna Sekhar , Lennart Heino , Jeroen Stil This is my paper
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keywords frameworkdepthfaradaymeerkatreconstructionsurveyaddressesapply
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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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.

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