The SAMI Galaxy Survey: a new method to estimate molecular gas surface densities from star formation rates

Stars form in cold molecular clouds. However, molecular gas is difficult to observe because the most abundant molecule (H-2) lacks a permanent dipole moment. Rotational transitions of CO are often used as a tracer of H-2, but CO is much less abundant and the conversion from CO intensity to H-2 mass...

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Published in:Monthly Notices of the Royal Astronomical Society
Main Authors: Federrath, Christoph, Salim, Diane M., Medling, Anne M., Davies, Rebecca L., Yuan, Tiantian, Bian, Fuyan, Groves, Brent A., Ho, I-Ting, Sharp, Robert, Kewley, Lisa J., Sweet, Sarah M., Richards, Samuel N., Bryant, Julia J., Brough, Sarah, Croom, Scott, Scott, Nicholas, Lawrence, Jon, Konstantopoulos, Iraklis, Goodwin, Michael
Format: Article in Journal/Newspaper
Language:English
Published: Oxford University Press 2017
Subjects:
Online Access:https://espace.library.uq.edu.au/view/UQ:44d4653/UQ44d4653_OA.pdf
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spelling ftunivqespace:oai:espace.library.uq.edu.au:UQ:44d4653 2023-05-15T18:11:29+02:00 The SAMI Galaxy Survey: a new method to estimate molecular gas surface densities from star formation rates Federrath, Christoph Salim, Diane M. Medling, Anne M. Davies, Rebecca L. Yuan, Tiantian Bian, Fuyan Groves, Brent A. Ho, I-Ting Sharp, Robert Kewley, Lisa J. Sweet, Sarah M. Richards, Samuel N. Bryant, Julia J. Brough, Sarah Croom, Scott Scott, Nicholas Lawrence, Jon Konstantopoulos, Iraklis Goodwin, Michael 2017-07-01 https://espace.library.uq.edu.au/view/UQ:44d4653/UQ44d4653_OA.pdf https://espace.library.uq.edu.au/view/UQ:44d4653 eng eng Oxford University Press doi:10.1093/mnras/stx727 issn:0035-8711 issn:1365-2966 orcid:0000-0002-1576-2505 DP150104329 HST-HF2-51377 NAS5-26555 FT140101202 FT140101166 FT100100457 CE110001020 Mass Assembly Gama Modeling Co Emission On Spiral Galaxies Formation Law Milky-Way Interstellar Turbulence Nearby Galaxies Data Release 3-Dimensional Distribution Probability-Distribution Journal Article 2017 ftunivqespace https://doi.org/10.1093/mnras/stx727 2020-12-08T07:55:29Z Stars form in cold molecular clouds. However, molecular gas is difficult to observe because the most abundant molecule (H-2) lacks a permanent dipole moment. Rotational transitions of CO are often used as a tracer of H-2, but CO is much less abundant and the conversion from CO intensity to H-2 mass is often highly uncertain. Here we present a new method for estimating the column density of cold molecular gas (Sigma(gas)) using optical spectroscopy. We utilize the spatially resolved H alpha maps of flux and velocity dispersion from the Sydney-AAO Multi-object Integral field spectrograph (SAMI) Galaxy Survey. We derive maps of Sigma(gas) by inverting the multi-freefall star formation relation, which connects the star formation rate surface density (Sigma(SFR)) with Sigma(gas) and the turbulent Mach number (M). Based on the measured range of Sigma(SFR) = 0.005-1.5M(circle dot)yr(-1) kpc(-2) and M = 18-130, we predict Sigma(gas) = 7-200M(circle dot)pc(-2) in the star-forming regions of our sample of 260 SAMI galaxies. These values are close to previously measured Sigma(gas) obtained directly with unresolved CO observations of similar galaxies at low redshift. We classify each galaxy in our sample as 'star-forming' (219) or 'composite/AGN/shock' (41), and find that in `composite/AGN/shock' galaxies the average Sigma(SFR), M and Sigma(gas) are enhanced by factors of 2.0, 1.6 and 1.3, respectively, compared to star-forming galaxies. We compare our predictions of Sigma(gas) with those obtained by inverting the Kennicutt Schmidt relation and find that our new method is a factor of 2 more accurate in predicting Sigma(gas), with an average deviation of 32 per cent from the actual Sigma(gas). Article in Journal/Newspaper sami The University of Queensland: UQ eSpace Milky Way ENVELOPE(-68.705,-68.705,-71.251,-71.251) Monthly Notices of the Royal Astronomical Society 468 4 3965 3978
institution Open Polar
collection The University of Queensland: UQ eSpace
op_collection_id ftunivqespace
language English
topic Mass Assembly Gama
Modeling Co Emission
On Spiral Galaxies
Formation Law
Milky-Way
Interstellar Turbulence
Nearby Galaxies
Data Release
3-Dimensional Distribution
Probability-Distribution
spellingShingle Mass Assembly Gama
Modeling Co Emission
On Spiral Galaxies
Formation Law
Milky-Way
Interstellar Turbulence
Nearby Galaxies
Data Release
3-Dimensional Distribution
Probability-Distribution
Federrath, Christoph
Salim, Diane M.
Medling, Anne M.
Davies, Rebecca L.
Yuan, Tiantian
Bian, Fuyan
Groves, Brent A.
Ho, I-Ting
Sharp, Robert
Kewley, Lisa J.
Sweet, Sarah M.
Richards, Samuel N.
Bryant, Julia J.
Brough, Sarah
Croom, Scott
Scott, Nicholas
Lawrence, Jon
Konstantopoulos, Iraklis
Goodwin, Michael
The SAMI Galaxy Survey: a new method to estimate molecular gas surface densities from star formation rates
topic_facet Mass Assembly Gama
Modeling Co Emission
On Spiral Galaxies
Formation Law
Milky-Way
Interstellar Turbulence
Nearby Galaxies
Data Release
3-Dimensional Distribution
Probability-Distribution
description Stars form in cold molecular clouds. However, molecular gas is difficult to observe because the most abundant molecule (H-2) lacks a permanent dipole moment. Rotational transitions of CO are often used as a tracer of H-2, but CO is much less abundant and the conversion from CO intensity to H-2 mass is often highly uncertain. Here we present a new method for estimating the column density of cold molecular gas (Sigma(gas)) using optical spectroscopy. We utilize the spatially resolved H alpha maps of flux and velocity dispersion from the Sydney-AAO Multi-object Integral field spectrograph (SAMI) Galaxy Survey. We derive maps of Sigma(gas) by inverting the multi-freefall star formation relation, which connects the star formation rate surface density (Sigma(SFR)) with Sigma(gas) and the turbulent Mach number (M). Based on the measured range of Sigma(SFR) = 0.005-1.5M(circle dot)yr(-1) kpc(-2) and M = 18-130, we predict Sigma(gas) = 7-200M(circle dot)pc(-2) in the star-forming regions of our sample of 260 SAMI galaxies. These values are close to previously measured Sigma(gas) obtained directly with unresolved CO observations of similar galaxies at low redshift. We classify each galaxy in our sample as 'star-forming' (219) or 'composite/AGN/shock' (41), and find that in `composite/AGN/shock' galaxies the average Sigma(SFR), M and Sigma(gas) are enhanced by factors of 2.0, 1.6 and 1.3, respectively, compared to star-forming galaxies. We compare our predictions of Sigma(gas) with those obtained by inverting the Kennicutt Schmidt relation and find that our new method is a factor of 2 more accurate in predicting Sigma(gas), with an average deviation of 32 per cent from the actual Sigma(gas).
format Article in Journal/Newspaper
author Federrath, Christoph
Salim, Diane M.
Medling, Anne M.
Davies, Rebecca L.
Yuan, Tiantian
Bian, Fuyan
Groves, Brent A.
Ho, I-Ting
Sharp, Robert
Kewley, Lisa J.
Sweet, Sarah M.
Richards, Samuel N.
Bryant, Julia J.
Brough, Sarah
Croom, Scott
Scott, Nicholas
Lawrence, Jon
Konstantopoulos, Iraklis
Goodwin, Michael
author_facet Federrath, Christoph
Salim, Diane M.
Medling, Anne M.
Davies, Rebecca L.
Yuan, Tiantian
Bian, Fuyan
Groves, Brent A.
Ho, I-Ting
Sharp, Robert
Kewley, Lisa J.
Sweet, Sarah M.
Richards, Samuel N.
Bryant, Julia J.
Brough, Sarah
Croom, Scott
Scott, Nicholas
Lawrence, Jon
Konstantopoulos, Iraklis
Goodwin, Michael
author_sort Federrath, Christoph
title The SAMI Galaxy Survey: a new method to estimate molecular gas surface densities from star formation rates
title_short The SAMI Galaxy Survey: a new method to estimate molecular gas surface densities from star formation rates
title_full The SAMI Galaxy Survey: a new method to estimate molecular gas surface densities from star formation rates
title_fullStr The SAMI Galaxy Survey: a new method to estimate molecular gas surface densities from star formation rates
title_full_unstemmed The SAMI Galaxy Survey: a new method to estimate molecular gas surface densities from star formation rates
title_sort sami galaxy survey: a new method to estimate molecular gas surface densities from star formation rates
publisher Oxford University Press
publishDate 2017
url https://espace.library.uq.edu.au/view/UQ:44d4653/UQ44d4653_OA.pdf
https://espace.library.uq.edu.au/view/UQ:44d4653
long_lat ENVELOPE(-68.705,-68.705,-71.251,-71.251)
geographic Milky Way
geographic_facet Milky Way
genre sami
genre_facet sami
op_relation doi:10.1093/mnras/stx727
issn:0035-8711
issn:1365-2966
orcid:0000-0002-1576-2505
DP150104329
HST-HF2-51377
NAS5-26555
FT140101202
FT140101166
FT100100457
CE110001020
op_doi https://doi.org/10.1093/mnras/stx727
container_title Monthly Notices of the Royal Astronomical Society
container_volume 468
container_issue 4
container_start_page 3965
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