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SZMC a Sunyaev Zeldovich Meta Catalogue of galaxy clusters M. DOUSPIS (IAS, Orsay) N. Aghanim, A. Nastasi, E. Soubrie, H. Ballans, A. Beelen, and G. Hurier Looking for clusters Hot intra-cluster gas Gas ~10s 10 6 K Bremsstrahlung


  1. SZMC a Sunyaev Zeld’ovich Meta Catalogue of galaxy clusters M. DOUSPIS (IAS, Orsay) N. Aghanim, A. Nastasi, E. Soubrie, H. Ballans, A. Beelen, and G. Hurier

  2. Looking for clusters Hot intra-cluster gas Gas ~10s 10 6 K Bremsstrahlung Inverse Compton → X-ray emission → SZ effect X-rays COMA, Planck Dark matter ~80% ~100s galaxies mass low energy CMB photon higher energy photon optical Total SZ “flux” proportional to Two independent probes of the same physical component 2 M. Douspis, 01/12/2015, SZ Meta-Catalogue

  3. SZ effect: hot baryon tracer R. A. Sunyaev Ya. B. Zeldovich Amas de Galaxies: galaxies + gaz CMB photon Electron énergétique Photon diffusé plus chaud SZ,Comments on Astrophysics and Space Physics 1972 “Hole in the sky” → Planck, ACT, SPT 3 M. Douspis, 01/12/2015, SZ Meta-Catalogue

  4. Planck: SZ machine 4 M. Douspis, 01/12/2015, SZ Meta-Catalogue

  5. Planck: SZ machine • Weak signal, contaminated by CMB and foregrounds • Clusters published in 2011 with S/N>6 ie S/N~1 per map ! • S/N >4.5 in 2015 release • Planck beam ~7arcmin High purity means: Detection, Validation, Confirmation 5 M. Douspis, 01/12/2015, SZ Meta-Catalogue

  6. «manual» validation • Internal Planck checks (CC, IRPS, SSO) • Matching with existing catalogues • Search in logs and databases • Search in data (RASS, SDSS) Planck early VIII 2011 6 M. Douspis, 01/12/2015, SZ Meta-Catalogue

  7. «Automatic» validation • For each candidate: F( ν ) = A SZ F SZ ( ν ) + A CMB F CMB ( ν ) + A IR F IR ( ν )+ A RAD F RAD ( ν ) + A CO F CO ( ν ) + N( ν ) • Use of Neural network and training sets to separate good, bad, and ugly candidates • 3 numbers / candidate Aghanim et al. 2015 7 M. Douspis, 01/12/2015, SZ Meta-Catalogue

  8. Confirmation XMM • From X-ray (XMM, Chandra) • In optical (ESO, RTT, Planck early IX 2011, Int 1,IV 2012 RTT ENO, NOAO) • In SZ (AMI) Planck int. XXVI 2015 8 M. Douspis, 01/12/2015, SZ Meta-Catalogue

  9. Planck SZ catalogs • ESZ first SZ catalogue at the 2011 release • 6 month of data (1 full sky), using [100-857]GHz • 189 clusters (one without redshift) • PSZ1 at 2013 release 75 60 45 • 30 15 month of data (2.5 full sky) 15 -120 120 - 0 6 0 6 0 0 • -15 1227 clusters and candidates -30 -45 -60 • -75 PSZ2 at 2015 release • 30 month of data (full sky) • 1653 clusters and candidates • ~ 84% of the sky • total of 1953 clusters and candidates Planck VIII 2011, Planck XXIX, XXXIV 2014, Planck XXVII, 2015 9 M. Douspis, 01/12/2015, SZ Meta-Catalogue

  10. ex. PSZ1 catalogue PSZ1 based on [100-857]GHz 3 detection algorithms on ~84% of sky • 1227 clusters & candidates • 683 previously known • 264 new clusters • 280 candidates (class1-2-3) • z in [0-1] • M in [1~20] 10 14 M ☉ • M med ~ 3.5 10 14 M ☉ • z, z_source, z_type, z_ref, Y, M500, Qn, Pos_X, alt_name, ... • see Planck legacy archive 10 M. Douspis, 01/12/2015, SZ Meta-Catalogue

  11. South Pole Telescope & Atacama Cosmology Telescope • SPT since 2009 • ACT since 2009 • First blindly discovered SZ • 148 GHz + optical Fus cluster • 5 years observation • 95,150, 220 Ghz • 91 clusters and candidates • 747 clusters and candidates • ACT -Pol ongoing • SPT -Pol ongoing Bleem et al. 2015 Hasselfield et al. 2013 11 M. Douspis, 01/12/2015, SZ Meta-Catalogue

  12. Why a meta-catalogue ? • Planck provides well caracterised catalogues over the full sky but limited range of redshift • SPT, ACT, AMI, Carma are lists of samples, part of the sky but higher resolution, thus higher z • Overlap and complementarity between samples • Known clusters • complementary information, ease comparison, ... • Candidates • list with usefull info for FUs Create a unique reference catalogue with homogenized quantities as MCXC ( Piffaretti et al. 2011 ) is for Xray 12 M. Douspis, 01/12/2015, SZ Meta-Catalogue

  13. Building meta-catalogue • Compile from litterature list of clusters and candidates • Use previous associations (eg. Planck catalogues) • Make positional association between lists + checks • Chose a reference coordinates (SPT>ACT>PSZ2>PSZ1>ESZ>AMI>CARMA) • Chose a reference redshift (spec>phot, PSZ1>) • Agregate informations from all experiments • Distribute and allow for query • szcluster-db.ias.u-psud.fr (Sitools) + VO 13 M. Douspis, 01/12/2015, SZ Meta-Catalogue

  14. SZMC properties Douspis, Aghanim et al. submitted to A&A 14 M. Douspis, 01/12/2015, SZ Meta-Catalogue

  15. SZMC • 2690 clusters and candidates • 166 seen by a leats 2 exp. • position distrib < 5 • redshift distrib <10% • 1747 (891) redshifts (spec) • 1696 z and Mass estimates SZMC 300 SZMC with spectroscopic redshift 250 • 591 common with MCXC 200 N 150 • 943 candidates 100 50 0 0.0 0.2 0.4 0.6 0.8 1.0 1.2 1.4 Redshift 15 M. Douspis, 01/12/2015, SZ Meta-Catalogue

  16. Known clusters • Multi-nu images for all clusters • SZ-planck, DSS/SDSS, WISE-1, WISE- ρ , ROSAT � � PSZ1 PSZ2 (not in PSZ1) SPT 2500deg 2 • Distribution Mass/z for 1696 ACT CARMA 10 clusters M 500 [10 14 M sol ] • masses not homogenized yet 1 0.0 0.2 0.4 0.6 0.8 1.0 1.2 1.4 Redshift 16 M. Douspis, 01/12/2015, SZ Meta-Catalogue

  17. example of use • Scaling relation between mass estimates of different experiments (PLCK/ACT/ SPT) • Indirect measure of the compatible SZ signal seen by SPT and Planck as masses agree for the same cosmology Douspis et al. 2015 • Tcmb(z) Hurier et al. 2014, Guzzi et al. 2015 • other mass comparisons Van der linden et al. 2014, Israel et al. 2015, Ilic et al. 2015 17 M. Douspis, 01/12/2015, SZ Meta-Catalogue

  18. Candidates • Estimates of reliability (from Planck maps and neural network) of candidates is provided to priorize follow-ups for 943 sources (online asap) • 204 bad (likely PS/ISM source) • 481ugly (noise in Planck) • 258 good :) 18 M. Douspis, 01/12/2015, SZ Meta-Catalogue

  19. Distribution • szcluster-db • VO • http://szcluster-db.ias.u-psud.fr/global_dataset/plugin/ conesearch?RA=307.9&DEC=-40.6&SR=1.0 «SZ-Cluster Database operated by the Integrated Data and Operation Center (IDOC) at the Institut d'Astrophysique Spatiale (IAS) under contract with CNES and CNRS» 19 M. Douspis, 01/12/2015, SZ Meta-Catalogue

  20. SZMC • Unique reference catalogue for SZ observations of clusters • baseline for different studies • Available online and VO • Updated with new redshift and information • Compiled input catalogues also available • Add-ons online (visualisation, link to simbad,...) • New version of catalogue and interface beginning 2016 20 M. Douspis, 01/12/2015, SZ Meta-Catalogue

  21. thank you! 21 M. Douspis, 01/12/2015, SZ Meta-Catalogue

  22. 22 M. Douspis, 01/12/2015, SZ Meta-Catalogue

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