ComPACT galaxy cluster catalogue J/A+A/711/A144 ivo://CDS.VizieR/J/A+A/711/A144 CDS Voskresenskaia S. Lyskova N. Zaznobin I. Meshcheryakov A. 2026-07-16T09:48:19Z 2026-07-16T10:42:10Z CDS support team CDS, Observatoire de Strasbourg, 11 rue de l'Universite, F-67000 Strasbourg, France cds-question@unistra.fr galaxy-clusters millimeter-astronomy submillimeter-astronomy photometry redshifted Machine-learning methods are increasingly applied to astronomical surveys, providing powerful tools for detecting and studying galaxy clusters. We investigate the mass-redshift properties and completeness of the ComPACT galaxy cluster catalogue, constructed using a convolutional neural network applied to publicly available combined ACT+Planck maps. The ComPACT catalogue contains 2962 SZ-selected galaxy cluster candidates. We confirm clusters by estimating redshifts using literature information and photometric techniques based on DESI Legacy Imaging Surveys data. Cluster masses are derived from ACT+Planck and Planck Compton-y maps via SZ scaling relations. The completeness is assessed using simulated cluster injections into real microwave maps. We confirm approximately ~60% of the ComPACT candidates as galaxy clusters. The redshifts span the range 0.007<z<1.7, including approximately 116 new measurements. Masses are obtained for 56% of the sample, covering the range (0.25-13.1)x10^14^M_{sun}_ and including 158 new mass determinations. We identify five previously unreported massive clusters (M_500c_>6x10^14~M_{sun}_) at z>0.7, increasing the known population of such systems by approximately 10%. The ComPACT catalogue expands the SZ-selected Planck-like cluster population, especially at high redshift and high mass, demonstrating the effectiveness of deep-learning approaches for cluster detection in microwave data. 2026A&A...711A.144V https://cdsarc.cds.unistra.fr/viz-bin/cat/J/A+A/711/A144 Catalog Research IsServedBy TAP VizieR generic service IsServedBy Conesearch service related-to J/MNRAS/531/1998 : ComPACT, ACT+Planck galaxy cluster cat. https://cds.unistra.fr/vizier-org/licences_vizier.html https://vizier.cds.unistra.fr/viz-bin/VizieR-2?-source=J/A+A/711/A144 https://vizier.iucaa.in/viz-bin/VizieR-2?-source=J/A+A/711/A144 http://vizieridia.saao.ac.za/viz-bin/VizieR-2?-source=J/A+A/711/A144 https://vizier.cds.unistra.fr/viz-bin/votable?-source=J/A+A/711/A144 https://vizier.iucaa.in/viz-bin/votable?-source=J/A+A/711/A144 http://vizieridia.saao.ac.za/viz-bin/votable?-source=J/A+A/711/A144 GET text/xml+votable https://tapvizier.cds.unistra.fr/TAPVizieR/tap Cone search capability for table J/A+A/711/A144/compact (ComPACT catalogue (table A1)) https://vizier.cds.unistra.fr/viz-bin/conesearch/J/A+A/711/A144/compact? https://vizier.iucaa.in/viz-bin/conesearch/J/A+A/711/A144/compact? http://vizieridia.saao.ac.za/viz-bin/conesearch/J/A+A/711/A144/compact? 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49012 49025 49047 49067 49098 49110-49111 49135 49140 49145 https://cdsarc.cds.unistra.fr/viz-bin/moc/J/A+A/711/A144?format=ascii Millimeter default J/A+A/711/A144/compact ComPACT catalogue (table A1) recno Record number assigned by the VizieR team. Should Not be used for identification. meta.record int Name Cluster name, ComPACT_GLLL.lll+BB.bbb meta.id;meta.main char RAJ2000 Right Ascension (J2000) deg pos.eq.ra;meta.main DEJ2000 Declination (J2000) deg pos.eq.dec;meta.main pmax [0/1] SZ detection probability stat.fit.goodness double S Object mask area in pixels pix phys.area int Priority [1/3] Reliability flag, 1=high, 2=medium, 3=low (1) meta.code int z ? Adopted cluster redshift src.redshift double nullable zType Redshift type, spec=spectroscopic, phot=photometric meta.code char r_zCl Source of redshift, reference ID (see Table 1) (4) meta.ref;pos.frame char zCl ? Redshift from zCluster algorithm (2) src.redshift float nullable e_zCl ? Uncertainty on zCluster stat.error double nullable zClDelta ? zCluster density contrast statistic stat.fit.param double nullable zZazn ? Redshift from Zaznobin algorithm (3) src.redshift;pos.heliocentric double nullable e_zZazn ? Uncertainty on zZazn stat.error double nullable zZaznSig1 ? Zaznobin first significance value (p1) stat.fit.goodness double nullable zZaznSig2 ? Zaznobin second significance value (p2) stat.fit.goodness double nullable M500 ? Cluster mass M500 1e+14solMass phys.mass double nullable e_M500 ? Lower uncertainty on M500 1e+14solMass stat.error double nullable E_M500 ? Upper uncertainty on M500 1e+14solMass stat.error;stat.max double nullable r_M500 Source of mass estimate, reference ID (see Table 1) (4) meta.ref;pos.frame char Mact ? Mass from ACT+Planck Y-M relation 1e+14solMass phys.mass double nullable e_Mact ? Lower uncertainty on Mact 1e+14solMass stat.error double nullable E_Mact ? Upper uncertainty on Mact 1e+14solMass stat.error;stat.max double nullable Mplanck ? Mass from Planck-only Y-M relation 1e+14solMass phys.mass double nullable e_Mplanck ? Lower uncertainty on Mplanck 1e+14solMass stat.error double nullable E_Mplanck ? Upper uncertainty on Mplanck 1e+14solMass stat.error;stat.max double nullable