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Analysis of 21-cm tomographic data

Published online by Cambridge University Press:  08 May 2018

Garrelt Mellema ,
Sambit Giri Open the ORCID record for Sambit Giri [Opens in a new window]  and
Raghunath Ghara
Garrelt Mellema
Affiliation:
Department of astronomy and Oskar Klein Centre, AlbaNova, Stockholm University, SE-10691 Stockholm, Sweden email: garrelt.mellema@astro.su.se, sambit.giri@astro.su.se, raghunath.ghara@astro.su.se
Sambit Giri
Affiliation:
Department of astronomy and Oskar Klein Centre, AlbaNova, Stockholm University, SE-10691 Stockholm, Sweden email: garrelt.mellema@astro.su.se, sambit.giri@astro.su.se, raghunath.ghara@astro.su.se
Raghunath Ghara
Affiliation:
Department of astronomy and Oskar Klein Centre, AlbaNova, Stockholm University, SE-10691 Stockholm, Sweden email: garrelt.mellema@astro.su.se, sambit.giri@astro.su.se, raghunath.ghara@astro.su.se
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Abstract

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The future SKA1-Low radio telescope will be powerful enough to produce tomographic images of the 21-cm signal from the Epoch of Reionization. Here we address how to identify ionized regions in such data sets, taking into account the resolution and noise levels associated with SKA1-Low. We describe three methods of which one, superpixel oversegmentation, consistently performs best.

Keywords

techniques: image processinginterferometric(cosmology:) diffuse radiationintergalactic mediumradio lines: general
Type
Contributed Papers
Information
Proceedings of the International Astronomical Union , Volume 12 , Symposium S333: Peering towards Cosmic Dawn , October 2017 , pp. 26 - 29
Copyright
Copyright © International Astronomical Union 2018 

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