📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

Deep learning approach for identification of H ii regions during reionization in 21-cm observations - II. Foreground contamination (2024)

First Author: Bianco M

Attributed to: Astrophysics and Cosmology at the University of Sussex (2011-2016) funded by STFC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1093/mnras/stae257

Publication URI: http://dx.doi.org/10.1093/mnras/stae257

Type: Journal Article/Review

Parent Publication: Monthly Notices of the Royal Astronomical Society

Issue: 3