J/MNRAS/531/3973ivo://CDS.VizieR/J/MNRAS/531/3973doi:10.26093/cds/vizier.75313973CDSKlein M.Mohr J.J.Bocquet S.Aguena M.Allen S.W.Alves O.,Ansarinejad B.Ashby M.L.N.Bacon D.Bayliss M.Benson B.A.,Bleem L.E.Brodwin M.Brooks D.Bulbul E.Burke D.L.Canning R.E.A.,Carlstrom J.E.Carnero Rosell A.Carretero J.Chang C.L.Conselice C.,Costanzi M.Crites A.T.Da Costa L.N.Pereira M.E.S.Davis T.M.,De Vicente J.Desai S.De Haan T.Dobbs M.A.Doel P.Ferrero I.,Flores A.M.Frieman J.George E.M.Giannini G.Gladders M.D.,Gonzalez A.H.Grandis S.Gruen D.Gruendl R.A.Gutierrez G.,Halverson N.W.Hinton S.R.Holder G.P.Hollowood D.L.Holzapfel W.L.,Honscheid K.Hrubes J.D.Huang N.James D.J.Khullar G.Kim K.,Knox L.Kraft R.Keruzore F.Lee A.T.Luong-Van D.Mahler G.,Mantz A.Marrone D.P.Marshall J.L.Mcdonald M.Mcmahon J.J.,Mena-Fernandez J.Menanteau F.Meyer S.S.Miquel R.Myles J.Padin S.,Pieres A.Plazas Malagon A.A.Pryke C.Reichardt C.L.Reil K.,Roberson J.Romer A.K.Romero C.Ruhl J.E.Saliwanchik B.R.,Salvati L.Sanchez E.Saro A.Schaffer K.K.Schrabback T.,Schubnell M.Sevilla-Noarbe I.Sharon K.Shirokoff E.Smith M.,Somboonpanyakul T.Stalder B.Stanford S.A.Stark A.A.Strazzullo V.,Suchyta E.Swanson M.E.C.Tarle G.To C.Vanderlinde K.Vieira J.D.,Von Der Linden A.Weaverdyck N.Williamson R.Wiseman P.Young M.2026-08-31T14:11:50Z2024-09-11T08:37:25ZCDS support team

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

cds-question@unistra.frgalaxy-clustersredshiftedsurveysradio-spectroscopyWe present an extension to a Sunyaev-Zel'dovich Effect (SZE) selected cluster catalogue based on observations from the South Pole Telescope (SPT); this catalogue extends to lower signal to noise than the previous SPT-SZ catalogue and therefore includes lower mass clusters. Optically derived redshifts, centres, richnesses, and morphological parameters together with catalogue contamination and completeness statistics are extracted using the multicomponent matched filter (MCMF) algorithm applied to the S/N>4 SPT-SZ candidate list and the Dark Energy Survey (DES) photometric galaxy catalogue. The main catalogue contains 811 sources above S/N=4, has 91 per cent purity, and is 95 per cent complete with respect to the original SZE selection. It contains in total 50 per cent more clusters and twice as many clusters above z=0.8 in comparison to the original SPT-SZ sample. The MCMF algorithm allows us to define subsamples of the desired purity with traceable impact on catalogue completeness. As an example, we provide two subsamples with S/N>4.25 and S/N>4.5 for which the sample contamination and cleaning-induced incompleteness are both as low as the expected Poisson noise for samples of their size. The subsample with S/N>4.5 has 98 per cent purity and 96 per cent completeness and is part of our new combined SPT cluster and DES weak-lensing cosmological analysis. We measure the number of false detections in the SPT-SZ candidate list as function of S/N, finding that it follows that expected from assuming Gaussian noise, but with a lower amplitude compared to previous estimates from simulations.2024MNRAS.531.3973Khttps://cdsarc.cds.unistra.fr/viz-bin/cat/J/MNRAS/531/3973CatalogResearchIsServedByTAP VizieR generic serviceIsServedByConesearch servicerelated-toJ/ApJ/779/61 : SPT-SZ survey point sources at 95, 150 + 220GHz (Mocanu+, 2013)J/ApJ/878/55 : SPT-SZ clusters with optical + X-ray data (Bocquet+, 2019)J/ApJ/900/55 : The SPT-SZ catalog at 95, 150, and 220GHz (Everett+, 2020)https://cds.unistra.fr/vizier-org/licences_vizier.htmlhttps://vizier.cds.unistra.fr/viz-bin/VizieR-2?-source=J/MNRAS/531/3973https://vizier.iucaa.in/viz-bin/VizieR-2?-source=J/MNRAS/531/3973http://vizieridia.saao.ac.za/viz-bin/VizieR-2?-source=J/MNRAS/531/3973https://vizier.cds.unistra.fr/viz-bin/votable?-source=J/MNRAS/531/3973https://vizier.iucaa.in/viz-bin/votable?-source=J/MNRAS/531/3973http://vizieridia.saao.ac.za/viz-bin/votable?-source=J/MNRAS/531/3973GETtext/xml+votablehttps://tapvizier.cds.unistra.fr/TAPVizieR/tapCone search capability for table J/MNRAS/531/3973/catalog (SPT-SZ MCMF catalogue)https://vizier.cds.unistra.fr/viz-bin/conesearch/J/MNRAS/531/3973/catalog?https://vizier.iucaa.in/viz-bin/conesearch/J/MNRAS/531/3973/catalog?http://vizieridia.saao.ac.za/viz-bin/conesearch/J/MNRAS/531/3973/catalog?GETtext/xml+votable180.050000true344.993378-56.28590.0055555555555555565/8445 8552 8576 11471 6/16384-16385 33149 33180 33197 33200 33203 33211-33213 33223-33225 33234-33236 33240-33241 33251-33252 33259 33261-33262 33270 33273-33274 33391 33395 33400 33438 33453 33464 33471 33474 33481 33487 33496 33502 33506 33509 33514-33517 33520 33523-33524 33527 33529 33531-33532 33534 33537 33540 33543 33553-33556 33560 33562 33564 33573 33577-33578 33580 33583 33586 33593-33594 33598 33603-33604 33609-33610 33612 33614 33616 33618-33619 33622 33625 33632 33634 33640 33642-33644 33649 33662 33664 33668 33672 33684 33696 33700 33704 33706 33709 33712-33713 33718 33720 33725-33726 33728 33735 33739-33741 33746 33748-33749 33754-33755 33758 33762-33765 33768-33769 33773-33774 33777 33779 33806 33814 33816-33818 33820 33824 33826-33828 33832-33833 33842 33846 33850-33851 33856 33865-33866 33871 33873 33877-33880 33883 33894 33897 33905 33910-33912 33916 33921-33922 33924 33932-33933 33938 33945-33946 33948 33950 33956-33957 33960 33969-33971 33978 33989-33991 33993 33996-33997 33999 34001-34003 34007-34009 34011 34014 34017 34020 34026 34030 34032 34034-34035 34043 34049 34053 34055 34059-34060 34063 34065 34067 34074 34076 34081-34083 34087 34090 34103 34105 34111 34120 34125-34126 34129-34130 34133 34137 34139 34142 34150 34155 34179 34181-34182 34184 34186 34198 34202 34215 34224 34241 34314-34316 34323-34324 34326 34330 34333 34335-34336 34338 34345 34348 34350 34353 34355 34357 34362 34368 34372-34373 34375 34377-34380 34384 34401 34411-34412 34433 34439 34455 34461 34468 34473 34477 34481 34498 34504 34821-34822 34836 34839 34841 34844-34845 34848 34857 34866 34876 34881 34888 34891 34893 34900 34909-34910 34915 34921-34922 34927 34932 34935 34943 34953-34955 34962 34964 34966 34968 34972 34974 34978 34980-34981 34985-34987 34993 35000-35001 35003 35007-35008 35014-35015 35018 35032 35043-35044 35050 35052 35065 35067 35070-35071 35076 35090 35097 35108-35109 35114 35120-35121 35124-35126 35133 35135 35141-35142 35147-35148 35156-35157 35162 35164 35168 35171 35173 35176 35201 35203 35206 35209 35214-35216 35220 35228 35238 35252 35265-35266 35335-35337 35342-35343 35346 35348-35349 35359 35364 35370 35373 35376 35378 35382 35388 35396-35397 35399-35400 35404-35405 35407 35417 35424 35429 35436 35441 35457 35460 35482 35490 35493 35495 35497-35498 35501 35520 38948 38955 38970 39043-39044 39051 39067 39076 39428 39432 39463 39467 39469 39472 39482 39552 39561 39564 39570 39586 39588 39594 45421 45423-45424 45433 45435 45438-45439 45485 45490-45491 45496-45498 45506 45515 45519 45522 45526 45533-45534 45536 45539 45543-45544 45546 45548 45554-45555 45557 45662 45686 45692 45791 45826-45827 45835 45838-45841 45843-45844 45848 45850 45860 45867 45873 45891 45893-45894 45904 45906 45911-45912 45918 45921 45929-45930 45932 45934 45938 45945-45946 45949 45951 45957 45959 45962-45966 45968 45973-45974 45979 45984 45995 45997 46001-46002 46005 46009 46021 46028 46039 46045-46046 46067 46069 46071 46073 46077-46078 46083 46097 46100 46108-46110 46120 46127 46129 46131-46132 46139 46142-46144 46153-46154 46156 46160 46166 46169-46170 46174 46179 46182 46184 46196 46202 46204 46217 46220 46222-46223 46234-46236 46240 46243 46256 46258 46266 46268 46272 46276 46278 46280-46281 46290 46292 46294 46296-46298 46301 46303 46312 46315 46321 46323 46326-46327 46329 46332 46334 46338 46340-46341 46345 46348 46353 46359-46360 46364 46368 46378 46380 46382 46385 46387-46388 46394 46402 46417 46420 46424 46436 46441 46443-46444 46448 46470 46474-46475 46484-46485 46491 46494 46499 46508 46511 46516 46595 46599 46602 46610 46612 46616 46628-46629 46632 46636 46641-46642 46645 46652 46656 46660 46664 46666-46667 46677 46681 46689-46690 46695 46704 46721 46738-46739 46746 46748 46750 46752 46754 46756 46770 47360 47364 47378 47430 47434 47438 47446 47448 47450 47458-47460 47463 47465 47468 48136https://cdsarc.cds.unistra.fr/viz-bin/moc/J/MNRAS/531/3973?format=asciiMillimeterdefaultJ/MNRAS/531/3973/catalogSPT-SZ MCMF cataloguezDES2Redshift second DES MCMF counterpart (Z_DES_2)src.redshift;pos.heliocentricdoubleSimbadSimbad column added by the CDSmeta.ref.urlcharrecnoRecord number assigned by the VizieR team. Should Not be used for identification.meta.recordintRAJ2000Right ascension of SZ centre (J2000) (RA)degpos.eq.ra;meta.mainDEJ2000Declination of SZ centre (J2000) (DEC)degpos.eq.dec;meta.mainXiHighest detection significance in the filtered map (XI)stat.fit.goodnessdoublethetaBest fit core radius in arcmin (THETA)arcminphys.angSizefloatFieldName of subfield (FIELD)obs.fieldcharScaleFactorScale factor between different subfields (SCALE_FACTOR)arith.factordoublezBestMCMF photo-z of best counterpart (Z_BEST)src.redshift.photdoublezspec? Spectroscopic redshift (z_spec)src.redshiftdoublenullablee_zBestPhoto-z uncertainty of zBest (EZ_BEST)stat.errordoublefcontBestContamination estimator of best counterpart (F_CONT_BEST)stat.fit.paramdoubleLambdaBestRichness of best counterpart (LAMBDA_BEST)src.class.richnessdoublee_LambdaBestUncertainty on richness of best counterpart (ELAMBDA_BEST)stat.errordoubleRAMdeg? Right ascension of MCMF centre (RA_MCMF)degpos.eq.ranullableDEMdeg? Declination of MCMF centre (DEC_MCMF)degpos.eq.decnullableM500BestM500 marginalise over sys. uncertainties as in see Bocquet et al., 2019ApJ...878...55B, Cat. J/ApJ/878/55 (M_500_BEST)1e+14solMassphys.massdoubleE_M500BestUpper uncertainty on M500Best (M_500_BEST_UP)1e+14solMassstat.error;stat.maxdoublee_M500BestLower uncertainty on M500Best (M_500_BEST_LO)1e+14solMassstat.errordoubleM500BestNosysM500 using fixed cosmo & scaling relations as in Bocquet et al., 2019ApJ...878...55B, Cat. J/ApJ/878/55 (M_BEST_NOSYS)1e+14solMassphys.massdoubleE_M500BestNosysUpper uncertainty on M_500_BEST_nosys (M_BEST_NOSYS_UP)1e+14solMassstat.error;stat.maxdoublee_M500BestNosysLower uncertainty on M_500_BEST_nosys (M_BEST_NOSYS_LO)1e+14solMassstat.errordoubleRABdegRight ascension of MCMF based BCG candidate (RA_BCG)degpos.eq.raDEBdegDeclination of MCMF based BCG candidate (DEC_BCG)degpos.eq.decf_zBest[0/1] DES MCMF or high-z (WISE) redshift (DES_OR_HZ) (1)meta.codeintMaskFrac60Mask fraction within 1 arcmin (MASKFRAC_60)phys.mass;arith.ratiodoubleMaskFrac120Mask fraction within 2 arcmin (MASKFRAC_120)phys.mass;arith.ratiodoubleMaskFrac180Mask fraction within 3 arcmin (MASKFRAC_180)phys.mass;arith.ratiodoublealpha? Dynamical state estimator: {alpha} asymmetry factor (ALPHA)src.morph.paramdoublenullabledelta? Dynamical state estimator: {delta} cluster morphology estimator (DELTA)src.morph.paramdoublenullablebeta? Dynamical state estimator: {beta} ridge flatness (BETA)src.morph.paramdoublenullableepsilon? Dynamical state estimator: {epsilon} ellipticity (ELLIP)src.ellipticitydoublenullableModCentOff? Dynamical state estimator: centre shift of 2D model fit (MODCENTOFF)stat.fit.paramdoublenullableMassRat? Dynamical state estimator: richness ratio between subclumps (MASSRAT)stat.fit.paramdoublenullableGalOff? Dynamical state estimator: offset [r_500] between subclumps (GALOFF)pos;arith.diffdoublenullableCentOffOSZMpcOffset between MCMF and SZ center in Mpc (CENTOFF_OSZ_MPC)Mpcpos;arith.diffdoublezDES1Redshift first DES MCMF counterpart (Z_DES_1)src.redshift;pos.heliocentricdoubleLambdaDES1Richness first DES MCMF counterpart (LAMBDA_DES_1)src.class.richnessdoubleLambdaDES2Richness second DES MCMF counterpart (LAMBDA_DES_2)src.class.richnessdoublefcontDES1Contamination estimator first DES MCMF counterpart (F_CONT_DES_1)stat.fit.paramdoublefcontDES2Contamination estimator second DES MCMF counterpart (F_CONT_DES_2)stat.fit.paramdoublefcontBestXI425Contamination estimator of best counterpart for {Xi}>4.25 selection (F_CONT_BEST_XI_425)stat.fit.paramdoublefcontBestXI45Contamination estimator of best counterpart for {Xi}>4.5 selection (F_CONT_BEST_XI_45)stat.fit.paramdoubleSPTCluster name, SPT-CLJHHMM-DDMM (SPT_ID)meta.id;meta.mainchar