Published in

Cambridge University Press (CUP), Proceedings of the International Astronomical Union, S333(12), p. 26-29, 2017

DOI: 10.1017/s1743921318000716

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Analysis of 21-cm tomographic data

Journal article published in 2017 by Garrelt Mellema, Sambit Giri ORCID, Raghunath Ghara
This paper was not found in any repository, but could be made available legally by the author.
This paper was not found in any repository, but could be made available legally by the author.

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Postprint: archiving allowed
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Data provided by SHERPA/RoMEO

Abstract

AbstractThe 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.

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