A Compressed Sensing Faraday Depth Reconstruction Framework for the MeerKAT MIGHTEE-POL Survey
Instrumentation and Methods for Astrophysics
2022-06-08 v1 Astrophysics of Galaxies
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.
Cite
@article{arxiv.2206.03283,
title = {A Compressed Sensing Faraday Depth Reconstruction Framework for the MeerKAT MIGHTEE-POL Survey},
author = {Miguel Cárcamo and Anna Scaife and Russ Taylor and Matt Jarvis and Micah Bowles and Srikrishna Sekhar and Lennart Heino and Jeroen Stil},
journal= {arXiv preprint arXiv:2206.03283},
year = {2022}
}
Comments
URSI AT-RASC 2022 Young Scientist Award paper. arXiv admin note: substantial text overlap with arXiv:2205.01413