J/other/PASA/43.ivo://CDS.VizieR/J/other/PASA/43.47CDSPrathap J.Hopkins A.M.Carvajal R.Cowley M.Croom S.M.Farrah D.,Prandoni I.Shabala S.S.van Loon J.T.Pappalardo C.Pimbblet K.A.,Ahmed U.T.Bilicki M.Brown M.J.I.Leahy D.Mailvaganam A.Marvil J.R.,Mukherjee T.Rahman S.F.Vernstrom T.Willingham J.Zafar T.2026-05-04T07:43:19Z2026-04-23T12:15:44ZCDS support team

CDS, Observatoire de Strasbourg, 11 rue de l'Universite, F-67000 Strasbourg, France

cds-question@unistra.fractive-galactic-nucleiradio-sourcesWhile it is well known that galaxies are composites of many emission processes, quantifying the various contributions remains challenging. In this work, we use unsupervised machine learning based clustering algorithms to evaluate the agreement between the clustering tools and astrophysical classifications, and hence quantify the fractional contributions of star formation processes and nuclear black hole activity to the total galaxy energy budget of radio sources. We perform clustering on the multiwavelength (optical, infrared (IR), and radio) active galactic nuclei (AGN) diagnostic spaces, using the data from the G09 and G23 fields from the Galaxy and Mass Assembly (GAMA) survey, Evolutionary Map of the Universe (EMU) survey, and theWide-field Infrared Survey Explorer (WISE).We find that the statistical clustering recovers ~90% of the star forming galaxies (SFGs) and ~80% of the AGN. We define a new IR-radio AGN diagnostic scheme that identifies radio AGN from IR SFGs and AGN, corresponding to the KMeans cluster with approximately 90% reliability. We demonstrate the superior power of radio AGN selection in higher dimensions using a three-dimensional space composed of directly observable parameters (W1-W2 colour, W2 magnitude, and the 1.4GHz radio flux density). This novel three dimensional diagnostic shows immense potential in radio AGN selection that is close to 90% reliable and 90% complete. We also publish a catalogue of radio sources in the EMU survey with associated probabilities for them to be active in the optical regime, through which we emphasise the philosophy of considering a galaxy to be composed of various fractions rather than a binary classification of SFGs and AGN.2026PASA...43...47Phttps://cdsarc.cds.unistra.fr/viz-bin/cat/J/other/PASA/43.47CatalogResearchIsServedByTAP VizieR generic serviceIsServedByConesearch servicerelated-toJ/MNRAS/413/971 : Galaxy And Mass Assembly (GAMA): DR1 (Driver+, 2011)J/MNRAS/452/2087 : Galaxy And Mass Assembly (GAMA): DR2 (Liske+, 2015)J/MNRAS/474/3875 : Galaxy And Mass Assembly (GAMA): DR3 (Baldry+, 2018)https://cds.unistra.fr/vizier-org/licences_vizier.htmlhttps://vizier.cds.unistra.fr/viz-bin/VizieR-2?-source=J/other/PASA/43.47https://vizier.iucaa.in/viz-bin/VizieR-2?-source=J/other/PASA/43.47http://vizieridia.saao.ac.za/viz-bin/VizieR-2?-source=J/other/PASA/43.47https://vizier.cds.unistra.fr/viz-bin/votable?-source=J/other/PASA/43.47https://vizier.iucaa.in/viz-bin/votable?-source=J/other/PASA/43.47http://vizieridia.saao.ac.za/viz-bin/votable?-source=J/other/PASA/43.47GETtext/xml+votablehttps://tapvizier.cds.unistra.fr/TAPVizieR/tapCone search capability for table J/other/PASA/43.47/catalog (AGN probability (or fraction) catalogue)https://vizier.cds.unistra.fr/viz-bin/conesearch/J/other/PASA/43.47/catalog?https://vizier.iucaa.in/viz-bin/conesearch/J/other/PASA/43.47/catalog?http://vizieridia.saao.ac.za/viz-bin/conesearch/J/other/PASA/43.47/catalog?GETtext/xml+votable180.050000true132.2355051.6133370.0055555555555555564/1365 1706 2911 2932 5/1024-1026 4138 5459 5468-5469 6819 6828 6830 10239 11639 11643 11719 11725 11732 11736-11738 6/4108 4112 4128 16544 16546-16547 16896 21831 21861 21881 21884 27273-27275 27290 27318 27324 40949 40951 40953-40955 46554-46555 46565-46567 46569-46571 46869-46871 46873 46875 46897 46899 46909 46932-46934 46936-46938 46940 469606.248383728023145e-25 6.248383728023145e-25https://cdsarc.cds.unistra.fr/viz-bin/moc/J/other/PASA/43.47?format=asciiRadiodefaultJ/other/PASA/43.47/catalogAGN probability (or fraction) cataloguerecnoRecord number assigned by the VizieR team. Should Not be used for identification.meta.recordintCompIdRadio source identifier taken from the parent G09 and G23 GAMA fields catalogues (component_id)meta.idcharuberIDGAMA source id (uberID)meta.idCATAIDGAMA source id (from the GAMA II phase) (CATAID)meta.id;meta.mainintRAJ2000Right ascension from EMU (J2000) (ra_deg_cont)degpos.eq.ra;meta.mainDEJ2000Declination from EMU (J2000) (dec_deg_cont)degpos.eq.dec;meta.maine_RAJ2000EMU positional uncertainty in RA (ra_err)arcsecstat.error;pos.eq.radoublee_DEJ2000EMU positional uncertainty in DE (dec_err)arcsecstat.error;pos.eq.decdoubleRAcdegRight ascension of the optical sources (of the flux-weighted centres, ICRS) from GAMA (RAcen)degpos.eq.raDEcdegDeclination of the optical sources (of the flux-weighted centres, ICRS) from GAMA (Deccen)degpos.eq.decRAWdegCatWISE right ascension (J2000) (RA_catwise)degpos.eq.raDEWdegCatWISE declination (J2000) (DEC_catwise)degpos.eq.decFtotIntegrated radio flux density at 943 MHz (Total_flux)mJyphot.flux.density;em.radio.750-1500MHzdoublee_FtotUncertainty in the integrated flux density at 943 MHz (Total_flux_err)mJystat.errordoublepbAGN-GMMProbability for a source to be AGN as per the GMM clustering (prob_agn_gmm)stat.fit.goodnessdoublepbAGN-FCMProbability for a source to be AGN as per the FCM clustering (prob_agn_fcm)stat.fit.goodnessdoubleKMeansClass[0/1] KMeans cluster label of the source (KMeans_class)meta.codeintGMMClass[0/1] GMM cluster label of the source (GMM_class)meta.codeintFCMClass[0/1] FCM cluster label of the source (FCM_class)meta.codeintBIRCHClass[0/1] BIRCH cluster label of the source (BIRCH_class)meta.codeint