Distributions of the Density and Kinetic Temperature of the Molecular Gas in the Central Region of NGC 613 Using Hierarchical Bayesian Inference
We present position–position–velocity (PPV) cubes of the physical and chemical properties of the molecular medium in the central 1.2 kpc region of the active galaxy NGC 613 at a PPV resolution of 0.″8 × 0.″8 × 10 km s −1 (0.″8 = ∼68 pc). We used eight molecular lines ( 13 CO(1–0), C 18 O(1–0), HCN(1...
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Veröffentlicht in: | The Astrophysical journal 2023-08, Vol.953 (2), p.139 |
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description | We present position–position–velocity (PPV) cubes of the physical and chemical properties of the molecular medium in the central 1.2 kpc region of the active galaxy NGC 613 at a PPV resolution of 0.″8 × 0.″8 × 10 km s
−1
(0.″8 = ∼68 pc). We used eight molecular lines (
13
CO(1–0), C
18
O(1–0), HCN(1–0), HCO
+
(1–0), CS(2–1), HCN(4–3), HCO
+
(4–3), and CS(7–6)) obtained with the Atacama Large Millimeter/submillimeter Array. Non-LTE calculation with hierarchical Bayesian inference was used to construct PPV cubes of the gas kinetic temperature (
T
kin
), molecular hydrogen volume density (
n
H
2
), column densities (
N
H
2
), and fractional abundances of four molecules (
12
C
18
O, HCN, HCO
+
, and CS). The derived
n
H
2
,
N
H
2
, and
T
kin
ranged from 10
3.21−3.85
cm
−3
, 10
20.8−22.1
cm
−2
, and 10
2.33−2.64
K, respectively. Our first application of the non-LTE method with the hierarchical Bayesian inference to external galaxies yielded compatible results compared with the previous studies of this galaxy, demonstrating the efficacy of this method for application to other galaxies. We examined the correlation between gas surface density
Σ
H
2
(converted from
N
H
2
) and the star formation rate Σ
SFR
obtained from the 110 GHz continuum flux map and found two distinct sequences in the
Σ
H
2
–Σ
SFR
diagram; the southwestern subregion of the star-forming ring exhibited a ∼0.5 dex higher star formation efficiency (SFE; Σ
SFR
/
Σ
H
2
) than the eastern subregion. However, they exhibited no systematic difference in
n
H
2
, which is often argued as a driver of SFE variation. We suggest that the deficiency of molecular gas in the southwestern subregion, where no significant gas supply is evident along the offset ridges in the bar, is responsible for the elevated SFE. |
doi_str_mv | 10.3847/1538-4357/ace260 |
format | Article |
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−1
(0.″8 = ∼68 pc). We used eight molecular lines (
13
CO(1–0), C
18
O(1–0), HCN(1–0), HCO
+
(1–0), CS(2–1), HCN(4–3), HCO
+
(4–3), and CS(7–6)) obtained with the Atacama Large Millimeter/submillimeter Array. Non-LTE calculation with hierarchical Bayesian inference was used to construct PPV cubes of the gas kinetic temperature (
T
kin
), molecular hydrogen volume density (
n
H
2
), column densities (
N
H
2
), and fractional abundances of four molecules (
12
C
18
O, HCN, HCO
+
, and CS). The derived
n
H
2
,
N
H
2
, and
T
kin
ranged from 10
3.21−3.85
cm
−3
, 10
20.8−22.1
cm
−2
, and 10
2.33−2.64
K, respectively. Our first application of the non-LTE method with the hierarchical Bayesian inference to external galaxies yielded compatible results compared with the previous studies of this galaxy, demonstrating the efficacy of this method for application to other galaxies. We examined the correlation between gas surface density
Σ
H
2
(converted from
N
H
2
) and the star formation rate Σ
SFR
obtained from the 110 GHz continuum flux map and found two distinct sequences in the
Σ
H
2
–Σ
SFR
diagram; the southwestern subregion of the star-forming ring exhibited a ∼0.5 dex higher star formation efficiency (SFE; Σ
SFR
/
Σ
H
2
) than the eastern subregion. However, they exhibited no systematic difference in
n
H
2
, which is often argued as a driver of SFE variation. We suggest that the deficiency of molecular gas in the southwestern subregion, where no significant gas supply is evident along the offset ridges in the bar, is responsible for the elevated SFE.</description><identifier>ISSN: 0004-637X</identifier><identifier>EISSN: 1538-4357</identifier><identifier>DOI: 10.3847/1538-4357/ace260</identifier><language>eng</language><publisher>Philadelphia: The American Astronomical Society</publisher><subject>Active galactic nuclei ; Active galaxies ; Astrochemistry ; Astrophysics ; Bayesian analysis ; Chemical properties ; Cubes ; Density ; Galaxies ; Giant molecular clouds ; Molecular gases ; Radio telescopes ; Star & galaxy formation ; Star formation ; Star formation rate ; Starburst galaxies ; Stars ; Stars & galaxies ; Statistical inference ; Submillimeter astronomy</subject><ispartof>The Astrophysical journal, 2023-08, Vol.953 (2), p.139</ispartof><rights>2023. The Author(s). Published by the American Astronomical Society.</rights><rights>2023. The Author(s). Published by the American Astronomical Society. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3610-a7e65ee5e29f83cfe502ae6dda65cf132e6c390cba9b6377d033f7c6d72567d13</citedby><cites>FETCH-LOGICAL-c3610-a7e65ee5e29f83cfe502ae6dda65cf132e6c390cba9b6377d033f7c6d72567d13</cites><orcidid>0000-0001-8153-1986 ; 0000-0001-9016-2641 ; 0000-0002-2699-4862 ; 0000-0002-7616-7427</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://iopscience.iop.org/article/10.3847/1538-4357/ace260/pdf$$EPDF$$P50$$Giop$$Hfree_for_read</linktopdf><link.rule.ids>315,781,785,865,2103,27926,27927,38892,53869</link.rule.ids></links><search><creatorcontrib>Kaneko, Hiroyuki</creatorcontrib><creatorcontrib>Tosaki, Tomoka</creatorcontrib><creatorcontrib>Tanaka, Kunihiko</creatorcontrib><creatorcontrib>Miyamoto, Yusuke</creatorcontrib><title>Distributions of the Density and Kinetic Temperature of the Molecular Gas in the Central Region of NGC 613 Using Hierarchical Bayesian Inference</title><title>The Astrophysical journal</title><addtitle>APJ</addtitle><addtitle>Astrophys. J</addtitle><description>We present position–position–velocity (PPV) cubes of the physical and chemical properties of the molecular medium in the central 1.2 kpc region of the active galaxy NGC 613 at a PPV resolution of 0.″8 × 0.″8 × 10 km s
−1
(0.″8 = ∼68 pc). We used eight molecular lines (
13
CO(1–0), C
18
O(1–0), HCN(1–0), HCO
+
(1–0), CS(2–1), HCN(4–3), HCO
+
(4–3), and CS(7–6)) obtained with the Atacama Large Millimeter/submillimeter Array. Non-LTE calculation with hierarchical Bayesian inference was used to construct PPV cubes of the gas kinetic temperature (
T
kin
), molecular hydrogen volume density (
n
H
2
), column densities (
N
H
2
), and fractional abundances of four molecules (
12
C
18
O, HCN, HCO
+
, and CS). The derived
n
H
2
,
N
H
2
, and
T
kin
ranged from 10
3.21−3.85
cm
−3
, 10
20.8−22.1
cm
−2
, and 10
2.33−2.64
K, respectively. Our first application of the non-LTE method with the hierarchical Bayesian inference to external galaxies yielded compatible results compared with the previous studies of this galaxy, demonstrating the efficacy of this method for application to other galaxies. We examined the correlation between gas surface density
Σ
H
2
(converted from
N
H
2
) and the star formation rate Σ
SFR
obtained from the 110 GHz continuum flux map and found two distinct sequences in the
Σ
H
2
–Σ
SFR
diagram; the southwestern subregion of the star-forming ring exhibited a ∼0.5 dex higher star formation efficiency (SFE; Σ
SFR
/
Σ
H
2
) than the eastern subregion. However, they exhibited no systematic difference in
n
H
2
, which is often argued as a driver of SFE variation. We suggest that the deficiency of molecular gas in the southwestern subregion, where no significant gas supply is evident along the offset ridges in the bar, is responsible for the elevated SFE.</description><subject>Active galactic nuclei</subject><subject>Active galaxies</subject><subject>Astrochemistry</subject><subject>Astrophysics</subject><subject>Bayesian analysis</subject><subject>Chemical properties</subject><subject>Cubes</subject><subject>Density</subject><subject>Galaxies</subject><subject>Giant molecular clouds</subject><subject>Molecular gases</subject><subject>Radio telescopes</subject><subject>Star & galaxy formation</subject><subject>Star formation</subject><subject>Star formation rate</subject><subject>Starburst galaxies</subject><subject>Stars</subject><subject>Stars & galaxies</subject><subject>Statistical inference</subject><subject>Submillimeter astronomy</subject><issn>0004-637X</issn><issn>1538-4357</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>O3W</sourceid><sourceid>DOA</sourceid><recordid>eNp1kc1u1DAURiMEEkNhz9ISYkeof2InWcIUpiMKSKiV2Fk3zvXUo9QOdrKYt-CRcRooG1hZ_nTusa--onjJ6FvRVPU5k6IpKyHrczDIFX1UbB6ix8WGUlqVStTfnxbPUjouV962m-LnhUtTdN08ueATCZZMt0gu0Cc3nQj4nnxyHidnyDXejRhhmiP-wT6HAc08QCQ7SMT5-3CLfoowkG94yMoF_bLbEsUEuUnOH8ily5Zobp3J0Hs4YXLgyd5bjOgNPi-eWBgSvvh9nhU3Hz9cby_Lq6-7_fbdVWmEYrSEGpVElMhb2whjUVIOqPoelDSWCY7KiJaaDtour133VAhbG9XXXKq6Z-Ks2K_ePsBRj9HdQTzpAE7fByEeNMS894BaWdtY2TEwTFbARIdGibZD5KYyraiy69XqGmP4MWOa9DHM0efva95IxnlTCZ4pulImhpQi2odXGdVLh3opTC-F6bXDPPJ6HXFh_OuE8ahbKTTXTLR67G3m3vyD-6_2F83WqrY</recordid><startdate>20230801</startdate><enddate>20230801</enddate><creator>Kaneko, Hiroyuki</creator><creator>Tosaki, Tomoka</creator><creator>Tanaka, Kunihiko</creator><creator>Miyamoto, Yusuke</creator><general>The American Astronomical Society</general><general>IOP Publishing</general><scope>O3W</scope><scope>TSCCA</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7TG</scope><scope>8FD</scope><scope>H8D</scope><scope>KL.</scope><scope>L7M</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0001-8153-1986</orcidid><orcidid>https://orcid.org/0000-0001-9016-2641</orcidid><orcidid>https://orcid.org/0000-0002-2699-4862</orcidid><orcidid>https://orcid.org/0000-0002-7616-7427</orcidid></search><sort><creationdate>20230801</creationdate><title>Distributions of the Density and Kinetic Temperature of the Molecular Gas in the Central Region of NGC 613 Using Hierarchical Bayesian Inference</title><author>Kaneko, Hiroyuki ; Tosaki, Tomoka ; Tanaka, Kunihiko ; Miyamoto, Yusuke</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3610-a7e65ee5e29f83cfe502ae6dda65cf132e6c390cba9b6377d033f7c6d72567d13</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Active galactic nuclei</topic><topic>Active galaxies</topic><topic>Astrochemistry</topic><topic>Astrophysics</topic><topic>Bayesian analysis</topic><topic>Chemical properties</topic><topic>Cubes</topic><topic>Density</topic><topic>Galaxies</topic><topic>Giant molecular clouds</topic><topic>Molecular gases</topic><topic>Radio telescopes</topic><topic>Star & galaxy formation</topic><topic>Star formation</topic><topic>Star formation rate</topic><topic>Starburst galaxies</topic><topic>Stars</topic><topic>Stars & galaxies</topic><topic>Statistical inference</topic><topic>Submillimeter astronomy</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kaneko, Hiroyuki</creatorcontrib><creatorcontrib>Tosaki, Tomoka</creatorcontrib><creatorcontrib>Tanaka, Kunihiko</creatorcontrib><creatorcontrib>Miyamoto, Yusuke</creatorcontrib><collection>Institute of Physics Open Access Journal Titles</collection><collection>IOPscience (Open Access)</collection><collection>CrossRef</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Technology Research Database</collection><collection>Aerospace Database</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>The Astrophysical journal</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kaneko, Hiroyuki</au><au>Tosaki, Tomoka</au><au>Tanaka, Kunihiko</au><au>Miyamoto, Yusuke</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Distributions of the Density and Kinetic Temperature of the Molecular Gas in the Central Region of NGC 613 Using Hierarchical Bayesian Inference</atitle><jtitle>The Astrophysical journal</jtitle><stitle>APJ</stitle><addtitle>Astrophys. J</addtitle><date>2023-08-01</date><risdate>2023</risdate><volume>953</volume><issue>2</issue><spage>139</spage><pages>139-</pages><issn>0004-637X</issn><eissn>1538-4357</eissn><abstract>We present position–position–velocity (PPV) cubes of the physical and chemical properties of the molecular medium in the central 1.2 kpc region of the active galaxy NGC 613 at a PPV resolution of 0.″8 × 0.″8 × 10 km s
−1
(0.″8 = ∼68 pc). We used eight molecular lines (
13
CO(1–0), C
18
O(1–0), HCN(1–0), HCO
+
(1–0), CS(2–1), HCN(4–3), HCO
+
(4–3), and CS(7–6)) obtained with the Atacama Large Millimeter/submillimeter Array. Non-LTE calculation with hierarchical Bayesian inference was used to construct PPV cubes of the gas kinetic temperature (
T
kin
), molecular hydrogen volume density (
n
H
2
), column densities (
N
H
2
), and fractional abundances of four molecules (
12
C
18
O, HCN, HCO
+
, and CS). The derived
n
H
2
,
N
H
2
, and
T
kin
ranged from 10
3.21−3.85
cm
−3
, 10
20.8−22.1
cm
−2
, and 10
2.33−2.64
K, respectively. Our first application of the non-LTE method with the hierarchical Bayesian inference to external galaxies yielded compatible results compared with the previous studies of this galaxy, demonstrating the efficacy of this method for application to other galaxies. We examined the correlation between gas surface density
Σ
H
2
(converted from
N
H
2
) and the star formation rate Σ
SFR
obtained from the 110 GHz continuum flux map and found two distinct sequences in the
Σ
H
2
–Σ
SFR
diagram; the southwestern subregion of the star-forming ring exhibited a ∼0.5 dex higher star formation efficiency (SFE; Σ
SFR
/
Σ
H
2
) than the eastern subregion. However, they exhibited no systematic difference in
n
H
2
, which is often argued as a driver of SFE variation. We suggest that the deficiency of molecular gas in the southwestern subregion, where no significant gas supply is evident along the offset ridges in the bar, is responsible for the elevated SFE.</abstract><cop>Philadelphia</cop><pub>The American Astronomical Society</pub><doi>10.3847/1538-4357/ace260</doi><tpages>13</tpages><orcidid>https://orcid.org/0000-0001-8153-1986</orcidid><orcidid>https://orcid.org/0000-0001-9016-2641</orcidid><orcidid>https://orcid.org/0000-0002-2699-4862</orcidid><orcidid>https://orcid.org/0000-0002-7616-7427</orcidid><oa>free_for_read</oa></addata></record> |
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source | DOAJ Directory of Open Access Journals; Institute of Physics Open Access Journal Titles; Alma/SFX Local Collection; EZB Electronic Journals Library |
subjects | Active galactic nuclei Active galaxies Astrochemistry Astrophysics Bayesian analysis Chemical properties Cubes Density Galaxies Giant molecular clouds Molecular gases Radio telescopes Star & galaxy formation Star formation Star formation rate Starburst galaxies Stars Stars & galaxies Statistical inference Submillimeter astronomy |
title | Distributions of the Density and Kinetic Temperature of the Molecular Gas in the Central Region of NGC 613 Using Hierarchical Bayesian Inference |
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