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dc.contributor.authorDrake, Alyssa
dc.contributor.authorSmith, Daniel
dc.contributor.authorHardcastle, Martin
dc.contributor.authorBest, Philip
dc.contributor.authorKondapally, Rohit
dc.contributor.authorArnaudova, Marina
dc.contributor.authorDas, Soumyadeep
dc.contributor.authorShenoy, Shravya
dc.contributor.authorDuncan, Ken
dc.contributor.authorRottgering, H.J.A.
dc.contributor.authorTasse, Cyril
dc.date.accessioned2024-10-18T14:09:29Z
dc.date.available2024-10-18T14:09:29Z
dc.date.issued2024-10-01
dc.identifier.citationDrake , A , Smith , D , Hardcastle , M , Best , P , Kondapally , R , Arnaudova , M , Das , S , Shenoy , S , Duncan , K , Rottgering , H J A & Tasse , C 2024 , ' The LOFAR Two Metre Sky Survey Data Release 2: Probabilistic Spectral Source Classifications and Faint Radio Source Demographics ' , Monthly Notices of the Royal Astronomical Society , vol. 534 , no. 2 , pp. 1107-1126 . https://doi.org/10.1093/mnras/stae2117
dc.identifier.issn0035-8711
dc.identifier.otherORCID: /0000-0003-4223-1117/work/169878585
dc.identifier.otherORCID: /0000-0001-9708-253X/work/169878605
dc.identifier.otherORCID: /0000-0002-0174-3362/work/169878633
dc.identifier.urihttp://hdl.handle.net/2299/28360
dc.description© 2024 The Author(s). Published by Oxford University Press on behalf of Royal Astronomical Society. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/).
dc.description.abstractWe present an analysis of 152 355 radio sources identified in the second data release of the LOFAR Two Metre Sky Survey (LoTSS-DR2) with Sloan Digital Sky Survey (SDSS) spectroscopic redshifts in the range <tex-math id="TM0001" notation="LaTeX">$0.00 /lt z /lt 0.57$</tex-math>. Using Monte Carlo simulations, we determine the reliability of each source exhibiting an excess in radio luminosity relative to that predicted from their H <tex-math id="TM0002" notation="LaTeX">$/alpha$</tex-math> emission, and, for a subset of 124 023 sources we combine this measurement with a full BPT analysis. Using these two independent diagnostics, we determine the reliability of each source hosting a supermassive black hole of high or low Eddington-scaled accretion rate, and combine the measurements to determine the reliability of sources belonging to each of four physical classes of objects: star-forming galaxies (SFGs), radio-quiet active galactic nuclei (RQAGN), and high- or low-excitation radio galaxies (HERGs or emission-line LERGs). The result is a catalogue that enables user-defined samples of radio sources with a reliability threshold suited to their science goal, for example prioritizing purity or completeness. Here, we select high-confidence samples of radio sources (>90 per cent reliability) to report: 38 588 radio-excess AGNs in the LoTSS-DR2 sample (362 HERGs, and 12 648 emission-line LERGs), together with 38 729 SFGs, and 18 726 RQAGN. We validate these results through comparison to literature using independent emission-line measurements, and to widely adopted WISE photometric selection techniques. While our use of SDSS spectroscopy limits our current analysis to <tex-math id="TM0003" notation="LaTeX">$/sim 4$</tex-math> per cent of the LoTSS-DR2 catalogue, our method is directly applicable to data from the forthcoming WEAVE-LOFAR survey, which will obtain over a million spectra of 144 MHz selected sources.en
dc.format.extent20
dc.format.extent2920998
dc.language.isoeng
dc.relation.ispartofMonthly Notices of the Royal Astronomical Society
dc.subjectcatalogues
dc.subjectgalaxies: active
dc.subjectgalaxies: evolution
dc.subjectgalaxies: star formation
dc.subjectradio continuum: galaxies
dc.subjectAstronomy and Astrophysics
dc.subjectSpace and Planetary Science
dc.titleThe LOFAR Two Metre Sky Survey Data Release 2: Probabilistic Spectral Source Classifications and Faint Radio Source Demographicsen
dc.contributor.institutionCentre for Astrophysics Research (CAR)
dc.contributor.institutionDepartment of Physics, Astronomy and Mathematics
dc.contributor.institutionSchool of Physics, Engineering & Computer Science
dc.description.statusPeer reviewed
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85205144241&partnerID=8YFLogxK
rioxxterms.versionofrecord10.1093/mnras/stae2117
rioxxterms.typeJournal Article/Review
herts.preservation.rarelyaccessedtrue


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