Galaxy clusters in the LoTSS-DR3 J/A+A/710/A219 ivo://CDS.VizieR/J/A+A/710/A219 CDS Stuardi C. Di Gennaro G. Botteon A. Braga F. Gheller C. Vazza F.,Balboni M. Biava N. Bonafede A. Brueggen M. Brunetti G. Cassano R.,Cianfaglione M. Cuciti V. De Gasperin F. Gastaldello F. Hardcastle M.J.,Hoeft M. Rottgering H.J.A. Sanvitale N. Shimwell T.W. van Weeren R.J. 2026-06-22T07:50:31Z 2026-06-22T08:49:48Z CDS support team CDS, Observatoire de Strasbourg, 11 rue de l'Universite, F-67000 Strasbourg, France cds-question@unistra.fr galaxy-clusters surveys astronomical-object-identification The third data release (DR3) of the LOFAR Two-metre Sky Survey (LoTSS) provides an unprecedented view of the northern sky at 144MHz, comprising more than 13 million radio sources. While compact sources can be efficiently identified with automated software packages, the detection of diffuse radio emission associated with galaxy clusters still requires dedicated processing and visual inspection. Given the scale of current and forthcoming radio surveys, automated approaches based on artificial intelligence are becoming essential to identify the most interesting targets. We aim to develop an automated pipeline to construct a catalogue of galaxy clusters hosting diffuse radio emission from LoTSS-DR3 20arcsec images. The pipeline is designed to provide both the probability that a cluster hosts diffuse emission and an interpretable image of its shape and morphology. We employ Radio U-Net, a convolutional neural network optimised for image segmentation (i.e. pixel-level identification) of diffuse radio emission. To associate detected emission with individual clusters, we combine the network output with positional, mass, and redshift information from four X-ray- and Sunyaev-Zeldovich-selected cluster catalogues, resulting in a merged sample of 3822 clusters covered by the LoTSS-DR3. We produce a pixel-level segmentation map of the full LoTSS-DR3 and a quantitative indicator (R value) for the presence of diffuse radio emission in each cluster. This enables the selection of sub-samples with specific properties for targeted follow-up or statistical studies. As a demonstration, we identify a sub-sample of 357 clusters selected at the highest network accuracy (76%), and we show some examples of newly detected systems. The detection fraction of diffuse radio sources in the four catalogues increases with the clusters' mass and redshift. This work establishes a flexible and scalable framework for deep-learning-based searches for diffuse radio emission in new-generation wide-area radio surveys. 2026A&A...710A.219S https://cdsarc.cds.unistra.fr/viz-bin/cat/J/A+A/710/A219 Catalog Research IsServedBy TAP VizieR generic service IsServedBy Conesearch service related-to J/A+A/707/A198 : LOFAR Two-metre Sky Survey (LoTSS) DR3 (Shimwell+, 2026) J/A+A/594/A27 : Planck Sunyaev-Zeldovich sources (PSZ2) (Planck+, 2016) J/A+A/690/A322 : The ACT-DR5 MCMF cluster catalog (Klein+, 2024) J/A+A/688/A187 : MCXC Second release (MCXC-II) (Sadibekova+, 2024) J/A+A/682/A34 : SRG/eROSITA all-sky survey catalogs (eRASS1) (Merloni+, 2024) https://cds.unistra.fr/vizier-org/licences_vizier.html https://vizier.cds.unistra.fr/viz-bin/VizieR-2?-source=J/A+A/710/A219 https://vizier.iucaa.in/viz-bin/VizieR-2?-source=J/A+A/710/A219 http://vizieridia.saao.ac.za/viz-bin/VizieR-2?-source=J/A+A/710/A219 https://vizier.cds.unistra.fr/viz-bin/votable?-source=J/A+A/710/A219 https://vizier.iucaa.in/viz-bin/votable?-source=J/A+A/710/A219 http://vizieridia.saao.ac.za/viz-bin/votable?-source=J/A+A/710/A219 GET text/xml+votable https://tapvizier.cds.unistra.fr/TAPVizieR/tap Cone search capability for table J/A+A/710/A219/allrunet (Catalog) https://vizier.cds.unistra.fr/viz-bin/conesearch/J/A+A/710/A219/allrunet? https://vizier.iucaa.in/viz-bin/conesearch/J/A+A/710/A219/allrunet? http://vizieridia.saao.ac.za/viz-bin/conesearch/J/A+A/710/A219/allrunet? 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31976 31983 31985 31990 32139 32161 32168 32265 32279 32299 32319-32320 32325 32327 32329 32345 32357 32362 32379 32396-32397 32401 32418-32419 32421 32423-32425 32431 32444 32448 32461 32463 32469 32497 32500-32501 32503 32553 32599 32602 32624 32633 32636 32689 32693 32703-32704 32739 32764 32766 https://cdsarc.cds.unistra.fr/viz-bin/moc/J/A+A/710/A219?format=ascii default J/A+A/710/A219/allrunet Catalog recno Record number assigned by the VizieR team. Should Not be used for identification. meta.record int Name Name meta.id;meta.main char RAJ2000 Right ascension (J2000) deg pos.eq.ra;meta.main DEJ2000 Declination (J2000) deg pos.eq.dec;meta.main z Redshift src.redshift double e_z Error on z from the original catalogue. When no error was provided, we used 0.01(1+z) stat.error;src.redshift double M500 Mass M500 1e+14solMass phys.mass double e_M500 ? Lower error on M500 1e+14solMass stat.error double nullable E_M500 ? Upper error on M500 1e+14solMass stat.error;stat.max double nullable R500kpc R500 in kpc computed from M500 with cosmology: H0=70km/(s.Mpc), Omega0=0.3 kpc phys.size.radius int R500amin R500 in arcmin converted with cosmology: H0=70km/(s.Mpc), Omega0=0.3 arcmin phys.angSize float AName Alternative name derived from the cross-match between the four original catalogues meta.id char HP-mosaic Name of the mosaic at the position of the cluster in the DR3 mosaicking scheme obs.field char PointID Names of all pointing used to create the mosaic (names of mosaics following the DR2 mosaicking scheme) obs.field char DistPoint Distance of the cluster from the pointing centre of each pointing deg pos.angDistance char noisePoint Noise at the cluster location in each pointing before mosaicking uJy/beam instr.det.noise char Quality Quality class of each mosaic [0,1,2] src char Comment Comment on the mosaic(s) used to compute R instr.setup char PointIDR Name of the mosaic used to compute R. For quality class 2, this is not listed obs.field char qualityR [0/2] Quality class of the mosaic used to compute R meta.code.qual int R ? R value computed within 2.2R500 stat.fit.param double nullable e_R ? Error on the R value based on the redshift of the cluster stat.error double nullable Overlap List of clusters that overlap within the 2.2R500 of the cluster meta.note char