J/MNRAS/458/226ivo://CDS.VizieR/J/MNRAS/458/226doi:10.26093/cds/vizier.74580226CDSde los Rios M.Dominguez M.J.R.Paz D.Merchan M.2024-08-15T20:18:25Z2017-07-03T10:04:52ZCDS support team

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

cds-question@unistra.frgalaxy-clustersgalaxy-classification-systemsMerging galaxy systems provide observational evidence of the existence of dark matter and constraints on its properties. Therefore, statistically uniform samples of merging systems would be a powerful tool for several studies. In this paper, we present a new methodology for the identification of merging systems and the results of its application to galaxy redshift surveys. We use as a starting point a mock catalogue of galaxy systems, identified using friends-of-friends algorithms, that have experienced a major merger, as indicated by its merger tree. By applying machine learning techniques in this training sample, and using several features computed from the observable properties of galaxy members, it is possible to select galaxy groups that have a high probability of having experienced a major merger. Next, we apply a mixture of Gaussian techniques on galaxy members in order to reconstruct the properties of the haloes involved in such mergers. This methodology provides a highly reliable sample of merging systems with low contamination and precisely recovered properties. We apply our techniques to samples of galaxy systems obtained from the Sloan Digital Sky Survey Data Release 7, the Wide-Field Nearby Galaxy-Cluster Survey (WINGS) and the Hectospec Cluster Survey (HeCS). Our results recover previously known merging systems and provide several new candidates. We present their measured properties and discuss future analysis on current and forthcoming samples.2016MNRAS.458..226Dhttps://cdsarc.cds.unistra.fr/viz-bin/cat/J/MNRAS/458/226CatalogResearchIsServedByTAP VizieR generic serviceIsServedByConesearch servicerelated-toJ/A+A/514/A102 : SDSS DR7 groups of galaxies (Tago+, 2010)J/MNRAS/418/1409 : Compact groups of galaxies in SDSS DR7 (Mendel+, 2011)J/MNRAS/422/25 : SDSS DR7 groups, clusters and filaments (Smith+, 2012)J/ApJ/799/95 : Structure in 3D galaxy distribution. II. Voids (Way+, 2015)J/A+A/588/A14 : Friends-of-friends galaxy group finder (Tempel+, 2016)J/AJ/132/1275 : CIRS (Cluster Infall Regions in the SDSS). I (Rines+, 2006)J/A+A/470/39 : Substructures in WINGS clusters (Ramella+, 2007)J/MNRAS/390/289 : Radio observations of A3158 (Johnston-Hollitt+, 2008)J/A+A/540/A43 : New redshifts for Abell 1758N galaxies (Boschin+, 2012)J/A+A/540/A123 : Galaxy clusters from SDSS DR8 (Einasto+, 2012)J/MNRAS/436/275 : 2092 rich galaxy clusters relaxation parameter (Wen+, 2013)https://cds.unistra.fr/vizier-org/licences_vizier.htmlhttps://vizier.cds.unistra.fr/viz-bin/VizieR-2?-source=J/MNRAS/458/226https://vizier.iucaa.in/viz-bin/VizieR-2?-source=J/MNRAS/458/226http://vizieridia.saao.ac.za/viz-bin/VizieR-2?-source=J/MNRAS/458/226https://vizier.cds.unistra.fr/viz-bin/votable?-source=J/MNRAS/458/226https://vizier.iucaa.in/viz-bin/votable?-source=J/MNRAS/458/226http://vizieridia.saao.ac.za/viz-bin/votable?-source=J/MNRAS/458/226GETtext/xml+votablehttps://tapvizier.cds.unistra.fr/TAPVizieR/tapCone search capability for table J/MNRAS/458/226/table1 (Low-redshift merging cluster sample, including the properties of the two main substructures identified by our algorithm.)https://vizier.cds.unistra.fr/viz-bin/conesearch/J/MNRAS/458/226/table1?https://vizier.iucaa.in/viz-bin/conesearch/J/MNRAS/458/226/table1?http://vizieridia.saao.ac.za/viz-bin/conesearch/J/MNRAS/458/226/table1?GETtext/xml+votable180.050000true223.5818.530.0055555555555555566/1006 4394 5327 5931 6609 8220 8258 8735 8788 9050 9251 9354 9476 9506 9812 11080 17237 18607 18800 19097 24622 25852 26037 27595 27660 27685 27966 28220 33628 48594https://cdsarc.cds.unistra.fr/viz-bin/moc/J/MNRAS/458/226?format=asciiOpticaldefaultJ/MNRAS/458/226/table1Low-redshift merging cluster sample, including the properties of the two main substructures identified by our algorithm.SimbadNameSimbad column added by the CDSmeta.idcharrecnoRecord number assigned by the VizieR team. Should Not be used for identification.meta.recordintClusterCluster namemeta.id;meta.maincharMass1Mass of the first substructure1e+14solMassphys.massfloate_Mass1Error on Mass11e+14solMassstat.errorfloatRAJ2000Rigth Ascension of first substructure (J2000)degpos.eq.ra;meta.maine_RAJ2000Error on RAdegdegstat.error;pos.eq.rafloatDEJ2000Declination of the first substructure (J2000)degpos.eq.dec;meta.maine_DEJ2000Error on DEdegdegstat.error;pos.eq.decfloatz1Redsfhit of the first substructuremeta.notefloate_z1Error on z1stat.errorfloatMass2Mass of the second substructure1e+14solMassphys.massfloate_Mass2Error on Mass21e+14solMassstat.errorfloatRA2degRigth Ascension of second substructure (J2000)degpos.eq.rae_RA2degError on RA2degdegstat.error;pos.eq.rafloatDE2degDeclination of second substructure (J2000)degpos.eq.dece_DE2degError on RE2degdegstat.error;pos.eq.decfloatz2Redsfhit of the second substructuremeta.notedoublee_z2Error on z2stat.errorfloat