J/MNRAS/458/963ivo://CDS.VizieR/J/MNRAS/458/963doi:10.26093/cds/vizier.74580963CDSPeth M.A.Lotz J.M.Freeman P.E.McPartland C.Mortazavi S.A.,Snyder G.F.Barro G.Grogin N.A.Guo Y.Hemmati S.Kartaltepe J.S.,Kocevski D.D.Koekemoer A.M.McIntosh D.H.Nayyeri H.Papovich C.,Primack J.R.Simons R.C.2024-08-16T20:16:35Z2017-07-03T10:12:21ZCDS support team

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

cds-question@unistra.frgalaxiescatalogsredshiftedgalaxy-classification-systemsImportant but rare and subtle processes driving galaxy morphology and star formation may be missed by traditional spiral, elliptical, irregular or Sersic bulge/disc classifications. To overcome this limitation, we use a principal component analysis (PCA) of non-parametric morphological indicators (concentration, asymmetry, Gini coefficient, M_20_, multimode, intensity and deviation) measured at rest-frame B band (corresponding to HST/WFC3 F125W at 1.4<z<2) to trace the natural distribution of massive (>10^10^M_{sun}_) galaxy morphologies. PCA quantifies the correlations between these morphological indicators and determines the relative importance of each. The first three principal components (PCs) capture ~75 per cent of the variance inherent to our sample. We interpret the first PC as bulge strength, the second PC as dominated by concentration and the third PC as dominated by asymmetry. Both PC1 and PC2 correlate with the visual appearance of a central bulge and predict galaxy quiescence. PC1 is a better predictor of quenching than stellar mass, as good as other structural indicators (Sersic-n or compactness). We divide the PCA results into groups using an agglomerative hierarchical clustering method. Unlike Sersic, this classification scheme separates compact galaxies from larger, smooth protoelliptical systems, and star-forming disc-dominated clumpy galaxies from star-forming bulge-dominated asymmetric galaxies. Distinguishing between these galaxy structural types in a quantitative manner is an important step towards understanding the connections between morphology, galaxy assembly and star formation.2016MNRAS.458..963Phttps://cdsarc.cds.unistra.fr/viz-bin/cat/J/MNRAS/458/963CatalogResearchIsServedByTAP VizieR generic serviceIsServedByConesearch servicerelated-toJ/ApJS/207/24 : GOODS-S CANDELS multiwavelength catalog (Guo+, 2013)J/ApJS/206/10 : CANDELS multiwavelength catalog (Galametz+, 2013)J/ApJS/203/24 : CANDELS galaxies structural parameters (van der Wel+, 2012)J/ApJS/221/11 : CANDELS visual classifications for GOODS-S (Kartaltepe+, 2015)J/ApJ/801/97 : GOODS-S+UDS stellar mass catalogs from CANDELS (Santini+, 2015)https://cds.unistra.fr/vizier-org/licences_vizier.htmlhttps://vizier.cds.unistra.fr/viz-bin/VizieR-2?-source=J/MNRAS/458/963https://vizier.iucaa.in/viz-bin/VizieR-2?-source=J/MNRAS/458/963http://vizieridia.saao.ac.za/viz-bin/VizieR-2?-source=J/MNRAS/458/963https://vizier.cds.unistra.fr/viz-bin/votable?-source=J/MNRAS/458/963https://vizier.iucaa.in/viz-bin/votable?-source=J/MNRAS/458/963http://vizieridia.saao.ac.za/viz-bin/votable?-source=J/MNRAS/458/963GETtext/xml+votablehttps://tapvizier.cds.unistra.fr/TAPVizieR/tapCone search capability for table J/MNRAS/458/963/catalog (Non-parametric morphology statistics and PC values for CANDELS (UDS/GOODS-S/COSMOS) galaxies)https://vizier.cds.unistra.fr/viz-bin/conesearch/J/MNRAS/458/963/catalog?https://vizier.iucaa.in/viz-bin/conesearch/J/MNRAS/458/963/catalog?http://vizieridia.saao.ac.za/viz-bin/conesearch/J/MNRAS/458/963/catalog?GETtext/xml+votable180.050000true34.22619611-5.275881110.0055555555555555566/17679 17690https://cdsarc.cds.unistra.fr/viz-bin/moc/J/MNRAS/458/963?format=asciiOpticaldefaultJ/MNRAS/458/963/catalogNon-parametric morphology statistics and PC values for CANDELS (UDS/GOODS-S/COSMOS) galaxiesAsymJAsymmetry (1)spect.line.asymmetrydoublerecnoRecord number assigned by the VizieR team. Should Not be used for identification.meta.recordintIDGalaxy identification number, from Galametz et al., Cat. J/ApJS/206/10meta.id;meta.mainintRAJ2000? Rigth ascension (J2000)degpos.eq.ra;meta.mainnullableDEJ2000? Declination (J2000)degpos.eq.dec;meta.mainnullableCJConcentration index (1)meta.code;spect.indexdoubleM20JM2, second order moment of the brightest regions of a galaxy (1)stat.fit.paramdoubleGINIJGini coefficient (1)stat.fit.paramdoubleMJ? Multimode statistic (ratio, in pixels, of the two brightest regions of a galaxy) (1)phot.flux;arith.ratiodoublenullableIJIntensity (ratio, in flux, of the two brightest regions) (1)phot.flux;arith.ratiodoubleDJDeviation (distance between the intensity centroid of a galaxy and the center of the brightest region) (1)stat.stdevdoublelogMassMasslog(solMass)phys.massdoublezphotPhotometric redshiftsrc.redshiftdoubleGroupGroup numbermeta.idintPC1Principal component 1 (bulge strength indicator)stat.fit.paramdoublePC2Principal component 2 (dominated by concentration)stat.fit.paramdoublePC3Principal component 3 (dominated by asymmetry)stat.fit.paramdoublePC4Principal component 4stat.fit.paramdoublePC5Principal component 5stat.fit.paramdoublePC6Principal component 6stat.fit.paramdoublePC7Principal component 7stat.fit.paramdoublepGoutlierProbability of a galaxy being outlierstat.fit.goodnessfloatpG0Probability of a galaxy being in group 0stat.fit.goodnessfloatpG1Probability of a galaxy being in group 1stat.fit.goodnessfloatpG2Probability of a galaxy being in group 2stat.fit.goodnessfloatpG4Probability of a galaxy being in group 4stat.fit.goodnessfloatpG5Probability of a galaxy being in group 5stat.fit.goodnessfloatpG6Probability of a galaxy being in group 6stat.fit.goodnessfloatpG8Probability of a galaxy being in group 8stat.fit.goodnessfloatpG9Probability of a galaxy being in group 9stat.fit.goodnessfloat