The LOFAR Two-metre Sky Survey: The nature of the faint source population and SFR–radio luminosity relation using prospector
ABSTRACT Spectral energy distribution (SED) fitting has been extensively used to determine the nature of the faint radio source population. Recent efforts have combined fits from multiple SED-fitting codes to account for the host galaxy and any active nucleus that may be present. We show that it is...
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Veröffentlicht in: | Monthly notices of the Royal Astronomical Society 2024-06, Vol.531 (1), p.977-996 |
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creator | Das, Soumyadeep Smith, Daniel J B Haskell, Paul Hardcastle, Martin J Best, Philip N Duncan, Kenneth J Arnaudova, Marina I Shenoy, Shravya Kondapally, Rohit Cochrane, Rachel K Drake, Alyssa B Gürkan, Gülay Małek, Katarzyna Morabito, Leah K Prandoni, Isabella |
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Spectral energy distribution (SED) fitting has been extensively used to determine the nature of the faint radio source population. Recent efforts have combined fits from multiple SED-fitting codes to account for the host galaxy and any active nucleus that may be present. We show that it is possible to produce similar-quality classifications using a single energy-balance SED fitting code, prospector, to model up to 26 bands of UV–far-infrared aperture-matched photometry for ∼31 000 sources in the ELAIS-N1 field from the LOFAR Two-Metre Sky Survey (LoTSS) deep fields first data release. One of a new generation of SED-fitting codes, prospector accounts for potential contributions from radiative active galactic nuclei (AGN) when estimating galaxy properties, including star formation rates (SFRs) derived using non-parametric star formation histories. Combining this information with radio luminosities, we classify 92 per cent of the radio sources as a star-forming galaxy, high-/low-excitation radio galaxy, or radio-quiet AGN and study the population demographics as a function of 150 MHz flux density, luminosity, SFR, stellar mass, redshift, and apparent r-band magnitude. Finally, we use prospector SED fits to investigate the SFR–150 MHz luminosity relation for a sample of ∼133 000 3.6 μm-selected z < 1 sources, finding that the stellar mass dependence is significantly weaker than previously reported, and may disappear altogether at $\log _{10} (\mathrm{SFR}/M_\odot \, \mathrm{yr}^{-1}) \gt 0.5$. This approach makes it significantly easier to classify radio sources from LoTSS and elsewhere, and may have important implications for future studies of star-forming galaxies at radio wavelengths. |
doi_str_mv | 10.1093/mnras/stae1204 |
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Spectral energy distribution (SED) fitting has been extensively used to determine the nature of the faint radio source population. Recent efforts have combined fits from multiple SED-fitting codes to account for the host galaxy and any active nucleus that may be present. We show that it is possible to produce similar-quality classifications using a single energy-balance SED fitting code, prospector, to model up to 26 bands of UV–far-infrared aperture-matched photometry for ∼31 000 sources in the ELAIS-N1 field from the LOFAR Two-Metre Sky Survey (LoTSS) deep fields first data release. One of a new generation of SED-fitting codes, prospector accounts for potential contributions from radiative active galactic nuclei (AGN) when estimating galaxy properties, including star formation rates (SFRs) derived using non-parametric star formation histories. Combining this information with radio luminosities, we classify 92 per cent of the radio sources as a star-forming galaxy, high-/low-excitation radio galaxy, or radio-quiet AGN and study the population demographics as a function of 150 MHz flux density, luminosity, SFR, stellar mass, redshift, and apparent r-band magnitude. Finally, we use prospector SED fits to investigate the SFR–150 MHz luminosity relation for a sample of ∼133 000 3.6 μm-selected z < 1 sources, finding that the stellar mass dependence is significantly weaker than previously reported, and may disappear altogether at $\log _{10} (\mathrm{SFR}/M_\odot \, \mathrm{yr}^{-1}) \gt 0.5$. This approach makes it significantly easier to classify radio sources from LoTSS and elsewhere, and may have important implications for future studies of star-forming galaxies at radio wavelengths.</description><identifier>ISSN: 0035-8711</identifier><identifier>EISSN: 1365-2966</identifier><identifier>DOI: 10.1093/mnras/stae1204</identifier><language>eng</language><publisher>London: Oxford University Press</publisher><subject>Active galactic nuclei ; Classification ; Demographics ; Flux density ; Galaxy distribution ; Infrared photometry ; LOFAR ; Luminosity ; Radio astronomy ; Radio galaxies ; Radio sources (astronomy) ; Red shift ; Sky surveys (astronomy) ; Spectral energy distribution ; Star & galaxy formation ; Star formation ; Stellar mass</subject><ispartof>Monthly notices of the Royal Astronomical Society, 2024-06, Vol.531 (1), p.977-996</ispartof><rights>2024 The Author(s). Published by Oxford University Press on behalf of Royal Astronomical Society. 2024</rights><rights>2024 The Author(s). Published by Oxford University Press on behalf of Royal Astronomical Society.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c341t-12714f520e38beb65f3c91147ef747cb1c42894cad3190843230d863809c01113</citedby><cites>FETCH-LOGICAL-c341t-12714f520e38beb65f3c91147ef747cb1c42894cad3190843230d863809c01113</cites><orcidid>0000-0001-9680-7092 ; 0000-0002-1128-0592 ; 0000-0001-9708-253X ; 0009-0003-7025-089X ; 0000-0002-3493-6638 ; 0000-0003-0487-6651 ; 0000-0001-8855-6107 ; 0000-0003-4223-1117 ; 0000-0001-6889-8388 ; 0000-0001-6127-8151</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,860,1598,27901,27902</link.rule.ids></links><search><creatorcontrib>Das, Soumyadeep</creatorcontrib><creatorcontrib>Smith, Daniel J B</creatorcontrib><creatorcontrib>Haskell, Paul</creatorcontrib><creatorcontrib>Hardcastle, Martin J</creatorcontrib><creatorcontrib>Best, Philip N</creatorcontrib><creatorcontrib>Duncan, Kenneth J</creatorcontrib><creatorcontrib>Arnaudova, Marina I</creatorcontrib><creatorcontrib>Shenoy, Shravya</creatorcontrib><creatorcontrib>Kondapally, Rohit</creatorcontrib><creatorcontrib>Cochrane, Rachel K</creatorcontrib><creatorcontrib>Drake, Alyssa B</creatorcontrib><creatorcontrib>Gürkan, Gülay</creatorcontrib><creatorcontrib>Małek, Katarzyna</creatorcontrib><creatorcontrib>Morabito, Leah K</creatorcontrib><creatorcontrib>Prandoni, Isabella</creatorcontrib><title>The LOFAR Two-metre Sky Survey: The nature of the faint source population and SFR–radio luminosity relation using prospector</title><title>Monthly notices of the Royal Astronomical Society</title><description>ABSTRACT
Spectral energy distribution (SED) fitting has been extensively used to determine the nature of the faint radio source population. Recent efforts have combined fits from multiple SED-fitting codes to account for the host galaxy and any active nucleus that may be present. We show that it is possible to produce similar-quality classifications using a single energy-balance SED fitting code, prospector, to model up to 26 bands of UV–far-infrared aperture-matched photometry for ∼31 000 sources in the ELAIS-N1 field from the LOFAR Two-Metre Sky Survey (LoTSS) deep fields first data release. One of a new generation of SED-fitting codes, prospector accounts for potential contributions from radiative active galactic nuclei (AGN) when estimating galaxy properties, including star formation rates (SFRs) derived using non-parametric star formation histories. Combining this information with radio luminosities, we classify 92 per cent of the radio sources as a star-forming galaxy, high-/low-excitation radio galaxy, or radio-quiet AGN and study the population demographics as a function of 150 MHz flux density, luminosity, SFR, stellar mass, redshift, and apparent r-band magnitude. Finally, we use prospector SED fits to investigate the SFR–150 MHz luminosity relation for a sample of ∼133 000 3.6 μm-selected z < 1 sources, finding that the stellar mass dependence is significantly weaker than previously reported, and may disappear altogether at $\log _{10} (\mathrm{SFR}/M_\odot \, \mathrm{yr}^{-1}) \gt 0.5$. This approach makes it significantly easier to classify radio sources from LoTSS and elsewhere, and may have important implications for future studies of star-forming galaxies at radio wavelengths.</description><subject>Active galactic nuclei</subject><subject>Classification</subject><subject>Demographics</subject><subject>Flux density</subject><subject>Galaxy distribution</subject><subject>Infrared photometry</subject><subject>LOFAR</subject><subject>Luminosity</subject><subject>Radio astronomy</subject><subject>Radio galaxies</subject><subject>Radio sources (astronomy)</subject><subject>Red shift</subject><subject>Sky surveys (astronomy)</subject><subject>Spectral energy distribution</subject><subject>Star & galaxy formation</subject><subject>Star formation</subject><subject>Stellar mass</subject><issn>0035-8711</issn><issn>1365-2966</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>TOX</sourceid><recordid>eNqFULtOAzEQtBBIhEBLbYmK4hLv2feiiyICSJEiJaE-OT4fXEjsww_QNYh_4A_5EhwSaqrV7s7szA5Cl0AGQAo63CrD7dA6LiEm7Aj1gKZJFBdpeox6hNAkyjOAU3Rm7ZoQwmic9tDH8lni6WwymuPlu4620hmJFy8dXnjzJrsbvNsr7nwY6xq70NW8UQ5b7Y2QuNWt33DXaIW5qvBiMv_-_DK8ajTe-G2jtG1ch408YLxt1BNujbatFE6bc3RS842VF4faR4-T2-X4PprO7h7Go2kkKAMXQZwBq5OYSJqv5CpNaioKAJbJOmOZWIFgcV4wwSsKBcnDa5RUeUpzUggCALSPrvZ3g_Srl9aV6-BfBcmSAqUJS0gaB9RgjxLBoDWyLlvTbLnpSiDlLuPyN-PyL-NAuN4TtG__w_4Axq-AlQ</recordid><startdate>20240601</startdate><enddate>20240601</enddate><creator>Das, Soumyadeep</creator><creator>Smith, Daniel J B</creator><creator>Haskell, Paul</creator><creator>Hardcastle, Martin J</creator><creator>Best, Philip N</creator><creator>Duncan, Kenneth J</creator><creator>Arnaudova, Marina I</creator><creator>Shenoy, Shravya</creator><creator>Kondapally, Rohit</creator><creator>Cochrane, Rachel K</creator><creator>Drake, Alyssa B</creator><creator>Gürkan, Gülay</creator><creator>Małek, Katarzyna</creator><creator>Morabito, Leah K</creator><creator>Prandoni, Isabella</creator><general>Oxford University Press</general><scope>TOX</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>8FD</scope><scope>H8D</scope><scope>L7M</scope><orcidid>https://orcid.org/0000-0001-9680-7092</orcidid><orcidid>https://orcid.org/0000-0002-1128-0592</orcidid><orcidid>https://orcid.org/0000-0001-9708-253X</orcidid><orcidid>https://orcid.org/0009-0003-7025-089X</orcidid><orcidid>https://orcid.org/0000-0002-3493-6638</orcidid><orcidid>https://orcid.org/0000-0003-0487-6651</orcidid><orcidid>https://orcid.org/0000-0001-8855-6107</orcidid><orcidid>https://orcid.org/0000-0003-4223-1117</orcidid><orcidid>https://orcid.org/0000-0001-6889-8388</orcidid><orcidid>https://orcid.org/0000-0001-6127-8151</orcidid></search><sort><creationdate>20240601</creationdate><title>The LOFAR Two-metre Sky Survey: The nature of the faint source population and SFR–radio luminosity relation using prospector</title><author>Das, Soumyadeep ; Smith, Daniel J B ; Haskell, Paul ; Hardcastle, Martin J ; Best, Philip N ; Duncan, Kenneth J ; Arnaudova, Marina I ; Shenoy, Shravya ; Kondapally, Rohit ; Cochrane, Rachel K ; Drake, Alyssa B ; Gürkan, Gülay ; Małek, Katarzyna ; Morabito, Leah K ; Prandoni, Isabella</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c341t-12714f520e38beb65f3c91147ef747cb1c42894cad3190843230d863809c01113</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Active galactic nuclei</topic><topic>Classification</topic><topic>Demographics</topic><topic>Flux density</topic><topic>Galaxy distribution</topic><topic>Infrared photometry</topic><topic>LOFAR</topic><topic>Luminosity</topic><topic>Radio astronomy</topic><topic>Radio galaxies</topic><topic>Radio sources (astronomy)</topic><topic>Red shift</topic><topic>Sky surveys (astronomy)</topic><topic>Spectral energy distribution</topic><topic>Star & galaxy formation</topic><topic>Star formation</topic><topic>Stellar mass</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Das, Soumyadeep</creatorcontrib><creatorcontrib>Smith, Daniel J B</creatorcontrib><creatorcontrib>Haskell, Paul</creatorcontrib><creatorcontrib>Hardcastle, Martin J</creatorcontrib><creatorcontrib>Best, Philip N</creatorcontrib><creatorcontrib>Duncan, Kenneth J</creatorcontrib><creatorcontrib>Arnaudova, Marina I</creatorcontrib><creatorcontrib>Shenoy, Shravya</creatorcontrib><creatorcontrib>Kondapally, Rohit</creatorcontrib><creatorcontrib>Cochrane, Rachel K</creatorcontrib><creatorcontrib>Drake, Alyssa B</creatorcontrib><creatorcontrib>Gürkan, Gülay</creatorcontrib><creatorcontrib>Małek, Katarzyna</creatorcontrib><creatorcontrib>Morabito, Leah K</creatorcontrib><creatorcontrib>Prandoni, Isabella</creatorcontrib><collection>Oxford Journals Open Access Collection</collection><collection>CrossRef</collection><collection>Technology Research Database</collection><collection>Aerospace Database</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>Monthly notices of the Royal Astronomical Society</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Das, Soumyadeep</au><au>Smith, Daniel J B</au><au>Haskell, Paul</au><au>Hardcastle, Martin J</au><au>Best, Philip N</au><au>Duncan, Kenneth J</au><au>Arnaudova, Marina I</au><au>Shenoy, Shravya</au><au>Kondapally, Rohit</au><au>Cochrane, Rachel K</au><au>Drake, Alyssa B</au><au>Gürkan, Gülay</au><au>Małek, Katarzyna</au><au>Morabito, Leah K</au><au>Prandoni, Isabella</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The LOFAR Two-metre Sky Survey: The nature of the faint source population and SFR–radio luminosity relation using prospector</atitle><jtitle>Monthly notices of the Royal Astronomical Society</jtitle><date>2024-06-01</date><risdate>2024</risdate><volume>531</volume><issue>1</issue><spage>977</spage><epage>996</epage><pages>977-996</pages><issn>0035-8711</issn><eissn>1365-2966</eissn><abstract>ABSTRACT
Spectral energy distribution (SED) fitting has been extensively used to determine the nature of the faint radio source population. Recent efforts have combined fits from multiple SED-fitting codes to account for the host galaxy and any active nucleus that may be present. We show that it is possible to produce similar-quality classifications using a single energy-balance SED fitting code, prospector, to model up to 26 bands of UV–far-infrared aperture-matched photometry for ∼31 000 sources in the ELAIS-N1 field from the LOFAR Two-Metre Sky Survey (LoTSS) deep fields first data release. One of a new generation of SED-fitting codes, prospector accounts for potential contributions from radiative active galactic nuclei (AGN) when estimating galaxy properties, including star formation rates (SFRs) derived using non-parametric star formation histories. Combining this information with radio luminosities, we classify 92 per cent of the radio sources as a star-forming galaxy, high-/low-excitation radio galaxy, or radio-quiet AGN and study the population demographics as a function of 150 MHz flux density, luminosity, SFR, stellar mass, redshift, and apparent r-band magnitude. Finally, we use prospector SED fits to investigate the SFR–150 MHz luminosity relation for a sample of ∼133 000 3.6 μm-selected z < 1 sources, finding that the stellar mass dependence is significantly weaker than previously reported, and may disappear altogether at $\log _{10} (\mathrm{SFR}/M_\odot \, \mathrm{yr}^{-1}) \gt 0.5$. This approach makes it significantly easier to classify radio sources from LoTSS and elsewhere, and may have important implications for future studies of star-forming galaxies at radio wavelengths.</abstract><cop>London</cop><pub>Oxford University Press</pub><doi>10.1093/mnras/stae1204</doi><tpages>20</tpages><orcidid>https://orcid.org/0000-0001-9680-7092</orcidid><orcidid>https://orcid.org/0000-0002-1128-0592</orcidid><orcidid>https://orcid.org/0000-0001-9708-253X</orcidid><orcidid>https://orcid.org/0009-0003-7025-089X</orcidid><orcidid>https://orcid.org/0000-0002-3493-6638</orcidid><orcidid>https://orcid.org/0000-0003-0487-6651</orcidid><orcidid>https://orcid.org/0000-0001-8855-6107</orcidid><orcidid>https://orcid.org/0000-0003-4223-1117</orcidid><orcidid>https://orcid.org/0000-0001-6889-8388</orcidid><orcidid>https://orcid.org/0000-0001-6127-8151</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Active galactic nuclei Classification Demographics Flux density Galaxy distribution Infrared photometry LOFAR Luminosity Radio astronomy Radio galaxies Radio sources (astronomy) Red shift Sky surveys (astronomy) Spectral energy distribution Star & galaxy formation Star formation Stellar mass |
title | The LOFAR Two-metre Sky Survey: The nature of the faint source population and SFR–radio luminosity relation using prospector |
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