The SAMI galaxy survey:predicting kinematic morphology with logistic regression

We use the SAMI (Sydney-AAO Multi-object Integral field spectrograph) galaxy survey to study the the kinematic morphology–density relation: the observation that the fraction of slow rotator galaxies increases towards dense environments. We build a logistic regression model to quantitatively study th...

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Published in:Monthly Notices of the Royal Astronomical Society
Main Authors: Vaughan, Sam P., van de Sande, Jesse, Fraser-McKelvie, A., Croom, Scott, McDermid, Richard, Liquet-Weiland, Benoit, Barsanti, Stefania, Cortese, Luca, Brough, Sarah, Sweet, Sarah, Bryant, Julia J., Goodwin, Michael, Lawrence, Jon
Format: Article in Journal/Newspaper
Language:English
Published: 2024
Subjects:
Online Access:https://researchers.mq.edu.au/en/publications/34b43e9d-318e-4bb7-8ab3-9fa0f1bb5bd3
https://doi.org/10.1093/mnras/stae409
https://research-management.mq.edu.au/ws/files/323626724/321386594.pdf
http://purl.org/au-research/grants/arc/CE170100013
http://www.scopus.com/inward/record.url?scp=85185397781&partnerID=8YFLogxK
id ftmacquarieunicr:oai:https://researchers.mq.edu.au:publications/34b43e9d-318e-4bb7-8ab3-9fa0f1bb5bd3
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spelling ftmacquarieunicr:oai:https://researchers.mq.edu.au:publications/34b43e9d-318e-4bb7-8ab3-9fa0f1bb5bd3 2024-11-10T14:41:09+00:00 The SAMI galaxy survey:predicting kinematic morphology with logistic regression Vaughan, Sam P. van de Sande, Jesse Fraser-McKelvie, A. Croom, Scott McDermid, Richard Liquet-Weiland, Benoit Barsanti, Stefania Cortese, Luca Brough, Sarah Sweet, Sarah Bryant, Julia J. Goodwin, Michael Lawrence, Jon 2024-03-01 application/pdf https://researchers.mq.edu.au/en/publications/34b43e9d-318e-4bb7-8ab3-9fa0f1bb5bd3 https://doi.org/10.1093/mnras/stae409 https://research-management.mq.edu.au/ws/files/323626724/321386594.pdf http://purl.org/au-research/grants/arc/CE170100013 http://www.scopus.com/inward/record.url?scp=85185397781&partnerID=8YFLogxK eng eng info:eu-repo/semantics/openAccess Vaughan , S P , van de Sande , J , Fraser-McKelvie , A , Croom , S , McDermid , R , Liquet-Weiland , B , Barsanti , S , Cortese , L , Brough , S , Sweet , S , Bryant , J J , Goodwin , M & Lawrence , J 2024 , ' The SAMI galaxy survey : predicting kinematic morphology with logistic regression ' , Monthly Notices of the Royal Astronomical Society , vol. 528 , no. 4 , pp. 5852–5863 . https://doi.org/10.1093/mnras/stae409 galaxies: evolution galaxies: formation galaxies: kinematics and dynamics dynamics galaxies: kinematics article 2024 ftmacquarieunicr https://doi.org/10.1093/mnras/stae409 2024-10-24T00:37:08Z We use the SAMI (Sydney-AAO Multi-object Integral field spectrograph) galaxy survey to study the the kinematic morphology–density relation: the observation that the fraction of slow rotator galaxies increases towards dense environments. We build a logistic regression model to quantitatively study the dependence of kinematic morphology (whether a galaxy is a fast or slow rotator) on a wide range of parameters, without resorting to binning the data. Our model uses a combination of stellar mass, star formation rate (SFR), r-band half-light radius, and a binary variable based on whether the galaxy’s observed ellipticity (ϵ) is less than 0.4. We show that, at fixed mass, size, SFR, and ϵ, a galaxy’s local environmental surface density (log 10 (Σ 5 /Mpc −2 )) gives no further information about whether a galaxy is a slow rotator, that is, the observed kinematic–morphology density relation can be entirely explained by the well-known correlations between environment and other quantities. We show how our model can be applied to different galaxy surveys to predict the fraction of slow rotators which would be observed and discuss its implications for the formation pathways of slow rotators. Article in Journal/Newspaper sami Macquarie University Research Portal Monthly Notices of the Royal Astronomical Society 528 4 5852 5863
institution Open Polar
collection Macquarie University Research Portal
op_collection_id ftmacquarieunicr
language English
topic galaxies: evolution
galaxies: formation
galaxies: kinematics and dynamics
dynamics
galaxies: kinematics
spellingShingle galaxies: evolution
galaxies: formation
galaxies: kinematics and dynamics
dynamics
galaxies: kinematics
Vaughan, Sam P.
van de Sande, Jesse
Fraser-McKelvie, A.
Croom, Scott
McDermid, Richard
Liquet-Weiland, Benoit
Barsanti, Stefania
Cortese, Luca
Brough, Sarah
Sweet, Sarah
Bryant, Julia J.
Goodwin, Michael
Lawrence, Jon
The SAMI galaxy survey:predicting kinematic morphology with logistic regression
topic_facet galaxies: evolution
galaxies: formation
galaxies: kinematics and dynamics
dynamics
galaxies: kinematics
description We use the SAMI (Sydney-AAO Multi-object Integral field spectrograph) galaxy survey to study the the kinematic morphology–density relation: the observation that the fraction of slow rotator galaxies increases towards dense environments. We build a logistic regression model to quantitatively study the dependence of kinematic morphology (whether a galaxy is a fast or slow rotator) on a wide range of parameters, without resorting to binning the data. Our model uses a combination of stellar mass, star formation rate (SFR), r-band half-light radius, and a binary variable based on whether the galaxy’s observed ellipticity (ϵ) is less than 0.4. We show that, at fixed mass, size, SFR, and ϵ, a galaxy’s local environmental surface density (log 10 (Σ 5 /Mpc −2 )) gives no further information about whether a galaxy is a slow rotator, that is, the observed kinematic–morphology density relation can be entirely explained by the well-known correlations between environment and other quantities. We show how our model can be applied to different galaxy surveys to predict the fraction of slow rotators which would be observed and discuss its implications for the formation pathways of slow rotators.
format Article in Journal/Newspaper
author Vaughan, Sam P.
van de Sande, Jesse
Fraser-McKelvie, A.
Croom, Scott
McDermid, Richard
Liquet-Weiland, Benoit
Barsanti, Stefania
Cortese, Luca
Brough, Sarah
Sweet, Sarah
Bryant, Julia J.
Goodwin, Michael
Lawrence, Jon
author_facet Vaughan, Sam P.
van de Sande, Jesse
Fraser-McKelvie, A.
Croom, Scott
McDermid, Richard
Liquet-Weiland, Benoit
Barsanti, Stefania
Cortese, Luca
Brough, Sarah
Sweet, Sarah
Bryant, Julia J.
Goodwin, Michael
Lawrence, Jon
author_sort Vaughan, Sam P.
title The SAMI galaxy survey:predicting kinematic morphology with logistic regression
title_short The SAMI galaxy survey:predicting kinematic morphology with logistic regression
title_full The SAMI galaxy survey:predicting kinematic morphology with logistic regression
title_fullStr The SAMI galaxy survey:predicting kinematic morphology with logistic regression
title_full_unstemmed The SAMI galaxy survey:predicting kinematic morphology with logistic regression
title_sort sami galaxy survey:predicting kinematic morphology with logistic regression
publishDate 2024
url https://researchers.mq.edu.au/en/publications/34b43e9d-318e-4bb7-8ab3-9fa0f1bb5bd3
https://doi.org/10.1093/mnras/stae409
https://research-management.mq.edu.au/ws/files/323626724/321386594.pdf
http://purl.org/au-research/grants/arc/CE170100013
http://www.scopus.com/inward/record.url?scp=85185397781&partnerID=8YFLogxK
genre sami
genre_facet sami
op_source Vaughan , S P , van de Sande , J , Fraser-McKelvie , A , Croom , S , McDermid , R , Liquet-Weiland , B , Barsanti , S , Cortese , L , Brough , S , Sweet , S , Bryant , J J , Goodwin , M & Lawrence , J 2024 , ' The SAMI galaxy survey : predicting kinematic morphology with logistic regression ' , Monthly Notices of the Royal Astronomical Society , vol. 528 , no. 4 , pp. 5852–5863 . https://doi.org/10.1093/mnras/stae409
op_rights info:eu-repo/semantics/openAccess
op_doi https://doi.org/10.1093/mnras/stae409
container_title Monthly Notices of the Royal Astronomical Society
container_volume 528
container_issue 4
container_start_page 5852
op_container_end_page 5863
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