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Statistical approaches to the selection of strong gravitationally lensed spectral line sources in the Square Kilometre Array era

Thesis (PhD (Physics))--University of Pretoria, 2023.

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Other Authors: Deane, Roger
Format: Thesis
Language:English
Published: University of Pretoria 2023
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access_status_str Open Access
author2 Deane, Roger
author_browse Deane, Roger
author_facet Deane, Roger
collection Thesis
dc_rights_str_mv © 2023 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria.
description Thesis (PhD (Physics))--University of Pretoria, 2023.
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institution University of Pretoria (South Africa)
language English
last_indexed 2026-06-10T12:39:41.079Z
license_str Other — see source repository
provenance_str_mv Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository
publishDate 2023
publishDateRange 2023
publishDateSort 2023
publisher University of Pretoria
publisherStr University of Pretoria
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source_str UPSpace — University of Pretoria Institutional Repository
spelling oai:repository.up.ac.za:2263/93782 Statistical approaches to the selection of strong gravitationally lensed spectral line sources in the Square Kilometre Array era Deane, Roger charissa@imago-web.co.za Button, Charissa Bronwyn UCTD Neutral atomic hydrogen Strong gravitational lensing OH Megamasers Galaxy evolution Galaxy statistics Sustainable Development Goals (SDGs) SDG-13: Climate action Natural and agricultural sciences SDG-13 Thesis (PhD (Physics))--University of Pretoria, 2023. Neutral atomic hydrogen (HI) and hydroxyl (OH) are important gas components within the context of galaxy evolution. HI is a key transitory phase in the baryon cycle and, hence, has a crucial role in star formation. Extragalactic OH is typically found in highly luminous infrared emission, as well as dense molecular hydrogen gas regions, associated with extreme star formation activity and gas-rich major galaxy mergers. Currently, both HI and OH emission are only directly detected at low redshifts (z < 0.2). Strong gravitational lensing, together with the upcoming large spectral line surveys of the SKA1-Mid, will offer opportunities to study HI and OH sources out to intermediate and high redshifts, which is not possible with current radio telescopes. A large number of HI and OH sources are predicted to be detected with these surveys, of which only a fraction will be lensed. This thesis investigates a statistical approach to select these lensed sources in the upcoming surveys. The approach is based on the distortion that the magnification bias has on the source number counts at high HI masses or high OH luminosities and uses this effect to find a flux density selection threshold above which gravitationally lensed sources are preferentially selected. This thesis finds that the surface density of lensed HI galaxies and lensed OH megamasers are low and that the flux density selection thresholds are faint, requiring deep and wide observations in order to select lensed HI galaxies and OH megamasers in this way, in the absence of any other information. This thesis also starts to investigate whether it will be possible to remove these lensed contaminants using ancillary optical/near infrared data from the Legacy Survey of Space and Time. These results indicate that a large fraction of these sources could be removed in this way. Future work will extend this investigation. The results of this thesis will provide valuable input to the increase of the scientific yield of the SKA1-Mid surveys by combining high sensitivity observations with the natural amplification of strong gravitational lensing to directly observe both HI and OH at cosmological epochs well beyond the peak of cosmic star formation and AGN activity. NRF/SARAO Physics PhD (Physics) Unrestricted Faculty of Natural and Agricultural Sciences SDG-13: Climate action 2023-12-14T07:23:29Z 2023-12-14T07:23:29Z 2024-04 2023 Thesis Button, 2023, Statistical approaches to the selection of strong gravitationally lensed spectral line sources in the Square Kilometre Array era, Unpublished PhD thesis, University of Pretoria A2024 http://hdl.handle.net/2263/93782 DOI: https://doi.org/10.25403/UPresearchdata.24746910.v1 10.25403/UPresearchdata.24746910 en © 2023 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. application/pdf University of Pretoria
spellingShingle UCTD
Neutral atomic hydrogen
Strong gravitational lensing
OH Megamasers
Galaxy evolution
Galaxy statistics
Sustainable Development Goals (SDGs)
SDG-13: Climate action
Natural and agricultural sciences SDG-13
Statistical approaches to the selection of strong gravitationally lensed spectral line sources in the Square Kilometre Array era
title Statistical approaches to the selection of strong gravitationally lensed spectral line sources in the Square Kilometre Array era
title_full Statistical approaches to the selection of strong gravitationally lensed spectral line sources in the Square Kilometre Array era
title_fullStr Statistical approaches to the selection of strong gravitationally lensed spectral line sources in the Square Kilometre Array era
title_full_unstemmed Statistical approaches to the selection of strong gravitationally lensed spectral line sources in the Square Kilometre Array era
title_short Statistical approaches to the selection of strong gravitationally lensed spectral line sources in the Square Kilometre Array era
title_sort statistical approaches to the selection of strong gravitationally lensed spectral line sources in the square kilometre array era
topic UCTD
Neutral atomic hydrogen
Strong gravitational lensing
OH Megamasers
Galaxy evolution
Galaxy statistics
Sustainable Development Goals (SDGs)
SDG-13: Climate action
Natural and agricultural sciences SDG-13
url http://hdl.handle.net/2263/93782