The SAMI Galaxy Survey: Bayesian inference for gas disc kinematics using a hierarchical Gaussian mixture model
We present a novel Bayesian method, referred to as BLOBBY3D, to infer gas kinematics that mitigates the effects of beam smearing for observations using integral field spectroscopy. The method is robust for regularly rotating galaxies despite substructure in the gas distribution. Modelling the gas su...
Published in: | Monthly Notices of the Royal Astronomical Society |
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Oxford University Press
2019
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Online Access: | https://espace.library.uq.edu.au/view/UQ:298dfc2/UQ298dfc2_OA.pdf https://espace.library.uq.edu.au/view/UQ:298dfc2 |
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ftunivqespace:oai:espace.library.uq.edu.au:UQ:298dfc2 2023-05-15T18:11:40+02:00 The SAMI Galaxy Survey: Bayesian inference for gas disc kinematics using a hierarchical Gaussian mixture model Varidel, Mathew R. Croom, Scott M. Lewis, Geraint F. Brewer, Brendon J. Di Teodoro, Enrico M. Bland-Hawthorn, Joss Bryant, Julia J. Federrath, Christoph Foster, Caroline Glazebrook, Karl Goodwin, Michael Groves, Brent Hopkins, Andrew M. Lawrence, Jon S. Lopez-Sanchez, Angel R. Medling, Anne M. Owers, Matt S. Richards, Samuel N. Scalzo, Richard Scott, Nicholas Sweet, Sarah M. Taranu, Dan S. van de Sande, Jesse 2019-05-01 https://espace.library.uq.edu.au/view/UQ:298dfc2/UQ298dfc2_OA.pdf https://espace.library.uq.edu.au/view/UQ:298dfc2 eng eng Oxford University Press doi:10.1093/mnras/stz670 issn:0035-8711 issn:1365-2966 orcid:0000-0002-1576-2505 CE170100013 CE110001020 Not set DP160100723 DP170100603 FT180100495 FT180100231 FT140101202 HST-HF2-51377 NAS5-26555 FT140100255 Star-Forming Galaxies Velocity Dispersion Rotation Curves Spiral Galaxies Stellar Mass Clumpy Disks Cold Streams Turbulence Kinemetry Complex Journal Article 2019 ftunivqespace https://doi.org/10.1093/mnras/stz670 2020-12-08T07:55:29Z We present a novel Bayesian method, referred to as BLOBBY3D, to infer gas kinematics that mitigates the effects of beam smearing for observations using integral field spectroscopy. The method is robust for regularly rotating galaxies despite substructure in the gas distribution. Modelling the gas substructure within the disc is achieved by using a hierarchical Gaussian mixture model. To account for beam smearing effects, we construct a modelled cube that is then convolved per wavelength slice by the seeing, before calculating the likelihood function. We show that our method can model complex gas substructure including clumps and spiral arms. We also show that kinematic asymmetries can be observed after beam smearing for regularly rotating galaxies with asymmetries only introduced in the spatial distribution of the gas. We present findings for our method applied to a sample of 20 star-forming galaxies from the SAMI Galaxy Survey. We estimate the global H alpha gas velocity dispersion for our sample to be in the range (sigma) over bar (v) similar to[7, 30] km s(-1). The relative difference between our approach and estimates using the single Gaussian component fits per spaxel is Delta(sigma) over bar (v)/(sigma) over bar (v) = -0.29 +/- 0.18 for the H alpha flux-weighted mean velocity dispersion. Article in Journal/Newspaper sami The University of Queensland: UQ eSpace Monthly Notices of the Royal Astronomical Society 485 3 4024 4044 |
institution |
Open Polar |
collection |
The University of Queensland: UQ eSpace |
op_collection_id |
ftunivqespace |
language |
English |
topic |
Star-Forming Galaxies Velocity Dispersion Rotation Curves Spiral Galaxies Stellar Mass Clumpy Disks Cold Streams Turbulence Kinemetry Complex |
spellingShingle |
Star-Forming Galaxies Velocity Dispersion Rotation Curves Spiral Galaxies Stellar Mass Clumpy Disks Cold Streams Turbulence Kinemetry Complex Varidel, Mathew R. Croom, Scott M. Lewis, Geraint F. Brewer, Brendon J. Di Teodoro, Enrico M. Bland-Hawthorn, Joss Bryant, Julia J. Federrath, Christoph Foster, Caroline Glazebrook, Karl Goodwin, Michael Groves, Brent Hopkins, Andrew M. Lawrence, Jon S. Lopez-Sanchez, Angel R. Medling, Anne M. Owers, Matt S. Richards, Samuel N. Scalzo, Richard Scott, Nicholas Sweet, Sarah M. Taranu, Dan S. van de Sande, Jesse The SAMI Galaxy Survey: Bayesian inference for gas disc kinematics using a hierarchical Gaussian mixture model |
topic_facet |
Star-Forming Galaxies Velocity Dispersion Rotation Curves Spiral Galaxies Stellar Mass Clumpy Disks Cold Streams Turbulence Kinemetry Complex |
description |
We present a novel Bayesian method, referred to as BLOBBY3D, to infer gas kinematics that mitigates the effects of beam smearing for observations using integral field spectroscopy. The method is robust for regularly rotating galaxies despite substructure in the gas distribution. Modelling the gas substructure within the disc is achieved by using a hierarchical Gaussian mixture model. To account for beam smearing effects, we construct a modelled cube that is then convolved per wavelength slice by the seeing, before calculating the likelihood function. We show that our method can model complex gas substructure including clumps and spiral arms. We also show that kinematic asymmetries can be observed after beam smearing for regularly rotating galaxies with asymmetries only introduced in the spatial distribution of the gas. We present findings for our method applied to a sample of 20 star-forming galaxies from the SAMI Galaxy Survey. We estimate the global H alpha gas velocity dispersion for our sample to be in the range (sigma) over bar (v) similar to[7, 30] km s(-1). The relative difference between our approach and estimates using the single Gaussian component fits per spaxel is Delta(sigma) over bar (v)/(sigma) over bar (v) = -0.29 +/- 0.18 for the H alpha flux-weighted mean velocity dispersion. |
format |
Article in Journal/Newspaper |
author |
Varidel, Mathew R. Croom, Scott M. Lewis, Geraint F. Brewer, Brendon J. Di Teodoro, Enrico M. Bland-Hawthorn, Joss Bryant, Julia J. Federrath, Christoph Foster, Caroline Glazebrook, Karl Goodwin, Michael Groves, Brent Hopkins, Andrew M. Lawrence, Jon S. Lopez-Sanchez, Angel R. Medling, Anne M. Owers, Matt S. Richards, Samuel N. Scalzo, Richard Scott, Nicholas Sweet, Sarah M. Taranu, Dan S. van de Sande, Jesse |
author_facet |
Varidel, Mathew R. Croom, Scott M. Lewis, Geraint F. Brewer, Brendon J. Di Teodoro, Enrico M. Bland-Hawthorn, Joss Bryant, Julia J. Federrath, Christoph Foster, Caroline Glazebrook, Karl Goodwin, Michael Groves, Brent Hopkins, Andrew M. Lawrence, Jon S. Lopez-Sanchez, Angel R. Medling, Anne M. Owers, Matt S. Richards, Samuel N. Scalzo, Richard Scott, Nicholas Sweet, Sarah M. Taranu, Dan S. van de Sande, Jesse |
author_sort |
Varidel, Mathew R. |
title |
The SAMI Galaxy Survey: Bayesian inference for gas disc kinematics using a hierarchical Gaussian mixture model |
title_short |
The SAMI Galaxy Survey: Bayesian inference for gas disc kinematics using a hierarchical Gaussian mixture model |
title_full |
The SAMI Galaxy Survey: Bayesian inference for gas disc kinematics using a hierarchical Gaussian mixture model |
title_fullStr |
The SAMI Galaxy Survey: Bayesian inference for gas disc kinematics using a hierarchical Gaussian mixture model |
title_full_unstemmed |
The SAMI Galaxy Survey: Bayesian inference for gas disc kinematics using a hierarchical Gaussian mixture model |
title_sort |
sami galaxy survey: bayesian inference for gas disc kinematics using a hierarchical gaussian mixture model |
publisher |
Oxford University Press |
publishDate |
2019 |
url |
https://espace.library.uq.edu.au/view/UQ:298dfc2/UQ298dfc2_OA.pdf https://espace.library.uq.edu.au/view/UQ:298dfc2 |
genre |
sami |
genre_facet |
sami |
op_relation |
doi:10.1093/mnras/stz670 issn:0035-8711 issn:1365-2966 orcid:0000-0002-1576-2505 CE170100013 CE110001020 Not set DP160100723 DP170100603 FT180100495 FT180100231 FT140101202 HST-HF2-51377 NAS5-26555 FT140100255 |
op_doi |
https://doi.org/10.1093/mnras/stz670 |
container_title |
Monthly Notices of the Royal Astronomical Society |
container_volume |
485 |
container_issue |
3 |
container_start_page |
4024 |
op_container_end_page |
4044 |
_version_ |
1766184301489029120 |