Article ISI
2022 3RD URSI ATLANTIC AND ASIA PACIFIC RADIO SCIENCE MEETING (AT-AP-RASC)  (2022)

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

Carcamo, Miguel; Scaife, Anna; Taylor, Russ; Jarvis, Matt; Bowles, Micah; Sekhar, Srikrishna; Heino, Lennart; Stil, Jeroen; IEEE

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 MIGH-TEE polarisation survey.

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Título según WOS: A Compressed Sensing Faraday Depth Reconstruction Framework for the MeerKAT MIGHTEE-POL Survey
Título de la Revista: 2022 3RD URSI ATLANTIC AND ASIA PACIFIC RADIO SCIENCE MEETING (AT-AP-RASC)
Editorial: IEEE
Fecha de publicación: 2022
Notas: ISI