Imaging VLBI polarimetry data from Active Galactic Nuclei using the Maximum Entropy Method

Mapping the relativistic jets emanating from AGN requires the use of a deconvolution algorithm to account for the effects of missing baseline spacings. The CLEAN algorithm is the most commonly used algorithm in VLBI imaging today and is suitable for imaging polarisation data. The Maximum Entropy Met...

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Main Authors: Coughlan Colm P., Gabuzda Denise C.
Format: Article
Language:English
Published: EDP Sciences 2013-12-01
Series:EPJ Web of Conferences
Online Access:http://dx.doi.org/10.1051/epjconf/20136107009
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spelling doaj-1d5bd3d771f1493b8a376d28797c0a062021-08-02T08:40:58ZengEDP SciencesEPJ Web of Conferences2100-014X2013-12-01610700910.1051/epjconf/20136107009Imaging VLBI polarimetry data from Active Galactic Nuclei using the Maximum Entropy MethodCoughlan Colm P.Gabuzda Denise C.Mapping the relativistic jets emanating from AGN requires the use of a deconvolution algorithm to account for the effects of missing baseline spacings. The CLEAN algorithm is the most commonly used algorithm in VLBI imaging today and is suitable for imaging polarisation data. The Maximum Entropy Method (MEM) is presented as an alternative with some advantages over the CLEAN algorithm, including better spatial resolution and a more rigorous and unbiased approach to deconvolution. We have developed a MEM code suitable for deconvolving VLBI polarisation data. Monte Carlo simulations investigating the performance of CLEAN and the MEM code on a variety of source types are being carried out. Real polarisation (VLBA) data taken at multiple wavelengths have also been deconvolved using MEM, and several of the resulting polarisation and Faraday rotation maps are presented and discussed. http://dx.doi.org/10.1051/epjconf/20136107009
collection DOAJ
language English
format Article
sources DOAJ
author Coughlan Colm P.
Gabuzda Denise C.
spellingShingle Coughlan Colm P.
Gabuzda Denise C.
Imaging VLBI polarimetry data from Active Galactic Nuclei using the Maximum Entropy Method
EPJ Web of Conferences
author_facet Coughlan Colm P.
Gabuzda Denise C.
author_sort Coughlan Colm P.
title Imaging VLBI polarimetry data from Active Galactic Nuclei using the Maximum Entropy Method
title_short Imaging VLBI polarimetry data from Active Galactic Nuclei using the Maximum Entropy Method
title_full Imaging VLBI polarimetry data from Active Galactic Nuclei using the Maximum Entropy Method
title_fullStr Imaging VLBI polarimetry data from Active Galactic Nuclei using the Maximum Entropy Method
title_full_unstemmed Imaging VLBI polarimetry data from Active Galactic Nuclei using the Maximum Entropy Method
title_sort imaging vlbi polarimetry data from active galactic nuclei using the maximum entropy method
publisher EDP Sciences
series EPJ Web of Conferences
issn 2100-014X
publishDate 2013-12-01
description Mapping the relativistic jets emanating from AGN requires the use of a deconvolution algorithm to account for the effects of missing baseline spacings. The CLEAN algorithm is the most commonly used algorithm in VLBI imaging today and is suitable for imaging polarisation data. The Maximum Entropy Method (MEM) is presented as an alternative with some advantages over the CLEAN algorithm, including better spatial resolution and a more rigorous and unbiased approach to deconvolution. We have developed a MEM code suitable for deconvolving VLBI polarisation data. Monte Carlo simulations investigating the performance of CLEAN and the MEM code on a variety of source types are being carried out. Real polarisation (VLBA) data taken at multiple wavelengths have also been deconvolved using MEM, and several of the resulting polarisation and Faraday rotation maps are presented and discussed.
url http://dx.doi.org/10.1051/epjconf/20136107009
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AT gabuzdadenisec imagingvlbipolarimetrydatafromactivegalacticnucleiusingthemaximumentropymethod
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