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...

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Published in:Monthly Notices of the Royal Astronomical Society
Main Authors: 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-Ssnchez, 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
Other Authors: Swinburne University of Technology
Format: Article in Journal/Newspaper
Language:unknown
Published: Oxford University Press (OUP) 2019
Subjects:
Online Access:http://hdl.handle.net/1959.3/450023
https://doi.org/10.1093/mnras/stz670
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spelling ftswinburne:tle:eabd721d-d648-4f7e-ae3e-7f5561f41c32:28f49f06-0da8-44be-9edc-ad1dd0a9c582:1 2023-05-15T18:11:35+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-Ssnchez, 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 Swinburne University of Technology 2019 http://hdl.handle.net/1959.3/450023 https://doi.org/10.1093/mnras/stz670 unknown Oxford University Press (OUP) http://purl.org/au-research/grants/arc/CE170100013 http://purl.org/au-research/grants/arc/CE110001020 http://purl.org/au-research/grants/arc/DP160100723 http://purl.org/au-research/grants/arc/FT180100231 http://purl.org/au-research/grants/arc/DP170100603 http://purl.org/au-research/grants/arc/FT180100495 http://purl.org/au-research/grants/arc/FT140101202 http://purl.org/au-research/grants/arc/FT140100255 http://hdl.handle.net/1959.3/450023 https://doi.org/10.1093/mnras/stz670 This article has been accepted for publication in Monthly Notices of the Royal Astronomical Society. Copyright © 2019 The Authors. Published by Oxford University Press on behalf of the Royal Astronomical Society. All rights reserved. Monthly Notices of the Royal Astronomical Society, Vol. 485, no. 3 (May 2019), pp. 4024-4044 Journal article 2019 ftswinburne https://doi.org/10.1093/mnras/stz670 2019-09-07T21:10:37Z 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 α gas velocity dispersion for our sample to be in the range σ¯v ∼[7, 30] km s−1. The relative difference between our approach and estimates using the single Gaussian component fits per spaxel is σ¯v/σ¯v = −0.29 ± 0.18 for the H α flux-weighted mean velocity dispersion. Article in Journal/Newspaper sami Swinburne University of Technology: Swinburne Research Bank Monthly Notices of the Royal Astronomical Society 485 3 4024 4044
institution Open Polar
collection Swinburne University of Technology: Swinburne Research Bank
op_collection_id ftswinburne
language unknown
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 α gas velocity dispersion for our sample to be in the range σ¯v ∼[7, 30] km s−1. The relative difference between our approach and estimates using the single Gaussian component fits per spaxel is σ¯v/σ¯v = −0.29 ± 0.18 for the H α flux-weighted mean velocity dispersion.
author2 Swinburne University of Technology
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-Ssnchez, 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
spellingShingle 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-Ssnchez, 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
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-Ssnchez, 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 (OUP)
publishDate 2019
url http://hdl.handle.net/1959.3/450023
https://doi.org/10.1093/mnras/stz670
genre sami
genre_facet sami
op_source Monthly Notices of the Royal Astronomical Society, Vol. 485, no. 3 (May 2019), pp. 4024-4044
op_relation http://purl.org/au-research/grants/arc/CE170100013
http://purl.org/au-research/grants/arc/CE110001020
http://purl.org/au-research/grants/arc/DP160100723
http://purl.org/au-research/grants/arc/FT180100231
http://purl.org/au-research/grants/arc/DP170100603
http://purl.org/au-research/grants/arc/FT180100495
http://purl.org/au-research/grants/arc/FT140101202
http://purl.org/au-research/grants/arc/FT140100255
http://hdl.handle.net/1959.3/450023
https://doi.org/10.1093/mnras/stz670
op_rights This article has been accepted for publication in Monthly Notices of the Royal Astronomical Society. Copyright © 2019 The Authors. Published by Oxford University Press on behalf of the Royal Astronomical Society. All rights reserved.
op_doi https://doi.org/10.1093/mnras/stz670
container_title Monthly Notices of the Royal Astronomical Society
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container_start_page 4024
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