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...
Published in: | Monthly Notices of the Royal Astronomical Society |
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2024
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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 |
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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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1815348372557529088 |