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The Galaxy Velocity Function from MIGHTEE-HI Early Science Data

The velocity function of MIGHTEE-H I Early Science data is presented. This is the first velocity function that is based on a blind radio interferometric survey. As a precursor, understanding the systematics that affect the Early Science velocity function will optimise the full survey's analysis. PYM...

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Main Author: Mulaudzi, Wanga
Other Authors: Frank, Bradley
Format: Thesis
Language:English
Published: Department of Astronomy 2022
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access_status_str Open Access
author Mulaudzi, Wanga
author2 Frank, Bradley
author_browse Frank, Bradley
Mulaudzi, Wanga
author_facet Frank, Bradley
Mulaudzi, Wanga
author_sort Mulaudzi, Wanga
collection Thesis
description The velocity function of MIGHTEE-H I Early Science data is presented. This is the first velocity function that is based on a blind radio interferometric survey. As a precursor, understanding the systematics that affect the Early Science velocity function will optimise the full survey's analysis. PYMULTINEST and the Busy Function are employed to estimate the linewidths of the low spectral resolution data. The performance of PYMULTINEST in estimating known linewidths of simulated H I profiles with varying spectral resolution is assessed. The simulation study shows that the estimated linewidths of the Early Science data, using this novel method, are robust and are recovered within the uncertainty. The effects of cosmic variance, instrumental linewidth broadening and Doppler linewidth broadening on the velocity function are quantified within the context of the limitations of the Early Science data. The MIGHTEE-H I Early Science velocity function is compared with the velocity functions from previous large-scale H I surveys, namely the Arecibo Legacy Fast ALFA (ALFALFA) survey and the H I Parkes All-Sky Survey (HIPASS). There is general agreement with the ALFALFA and HIPASS results, when taking linewidth broadening into account, given that the MIGHTEE-H I Early Science data is strongly affected by cosmic variance. In particular, cosmic variance introduces an average uncertainty of ∼ 24% in the measured Early Science volume densities. The larger effective area of the full survey will reduce the impact of cosmic variance. The full survey velocity function can be further optimised by estimating the rotational velocities using kinematic modelling, and correcting the measured linewidths for instrumental broadening, Doppler broadening, turbulent motion and inclination effects.
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institution University of Cape Town (South Africa)
language eng
last_indexed 2026-06-10T12:39:30.779Z
license_str Not specified — see source repository
provenance_str_mv Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository
publishDate 2022
publishDateRange 2022
publishDateSort 2022
publisher Department of Astronomy
publisherStr Department of Astronomy
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source_str UCTD — University of Cape Town Open Access Repository
spelling oai:open.uct.ac.za:11427/35959 The Galaxy Velocity Function from MIGHTEE-HI Early Science Data Mulaudzi, Wanga Frank, Bradley Kraan-Korteweg, Renee Christine Astronomy The velocity function of MIGHTEE-H I Early Science data is presented. This is the first velocity function that is based on a blind radio interferometric survey. As a precursor, understanding the systematics that affect the Early Science velocity function will optimise the full survey's analysis. PYMULTINEST and the Busy Function are employed to estimate the linewidths of the low spectral resolution data. The performance of PYMULTINEST in estimating known linewidths of simulated H I profiles with varying spectral resolution is assessed. The simulation study shows that the estimated linewidths of the Early Science data, using this novel method, are robust and are recovered within the uncertainty. The effects of cosmic variance, instrumental linewidth broadening and Doppler linewidth broadening on the velocity function are quantified within the context of the limitations of the Early Science data. The MIGHTEE-H I Early Science velocity function is compared with the velocity functions from previous large-scale H I surveys, namely the Arecibo Legacy Fast ALFA (ALFALFA) survey and the H I Parkes All-Sky Survey (HIPASS). There is general agreement with the ALFALFA and HIPASS results, when taking linewidth broadening into account, given that the MIGHTEE-H I Early Science data is strongly affected by cosmic variance. In particular, cosmic variance introduces an average uncertainty of ∼ 24% in the measured Early Science volume densities. The larger effective area of the full survey will reduce the impact of cosmic variance. The full survey velocity function can be further optimised by estimating the rotational velocities using kinematic modelling, and correcting the measured linewidths for instrumental broadening, Doppler broadening, turbulent motion and inclination effects. 2022-03-07T12:17:47Z 2022-03-07T12:17:47Z 2021 2022-03-07T11:02:48Z Master Thesis Masters MSc http://hdl.handle.net/11427/35959 eng application/pdf Department of Astronomy Faculty of Science
spellingShingle Astronomy
Mulaudzi, Wanga
The Galaxy Velocity Function from MIGHTEE-HI Early Science Data
thesis_degree_str Master's
title The Galaxy Velocity Function from MIGHTEE-HI Early Science Data
title_full The Galaxy Velocity Function from MIGHTEE-HI Early Science Data
title_fullStr The Galaxy Velocity Function from MIGHTEE-HI Early Science Data
title_full_unstemmed The Galaxy Velocity Function from MIGHTEE-HI Early Science Data
title_short The Galaxy Velocity Function from MIGHTEE-HI Early Science Data
title_sort galaxy velocity function from mightee hi early science data
topic Astronomy
url http://hdl.handle.net/11427/35959
work_keys_str_mv AT mulaudziwanga thegalaxyvelocityfunctionfrommighteehiearlysciencedata
AT mulaudziwanga galaxyvelocityfunctionfrommighteehiearlysciencedata