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VDM groups/clusters reconstruction A. Iovino - Milano - OAB

VDM groups/clusters reconstruction A. Iovino - Milano - OAB O. Cucciati - Milano – Univ. Bicocca C. Marinoni - Marseille - CPT S. Bardelli Bologna – OABo. Zurigo – June 2007. VDM groups/clusters reconstruction. 1 - Explore the potential of zCOSMOS for groups/clusters searches:

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VDM groups/clusters reconstruction A. Iovino - Milano - OAB

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  1. VDM groups/clusters reconstruction A. Iovino - Milano - OAB O. Cucciati - Milano – Univ. Bicocca C. Marinoni - Marseille - CPT S. Bardelli Bologna – OABo Zurigo – June 2007

  2. VDM groups/clusters reconstruction 1- Explore the potential of zCOSMOS for groups/clusters searches: • biases in groups identification/reconstruction imposed by the survey design 2- The Voronoi-Delauney algorithm for groups reconstruction 3- a possible best parameters choice …

  3. VDM groups/clusters reconstruction The potential of zCOSMOS for groups/clusters searches: • Iab = 22.5 spectroscopic limit • Sampling rate 70% • Error in z measurement ~100 km/sec Using mock catalogues we can explore how these survey characteristics limit the sample of groups we can detect in an observed catalogue (even with the ideal algorithm).

  4. VDM groups/clusters reconstruction Groups that ‘survive’ (2 o more members left) as a function of limiting magnitude and vir …

  5. VDM groups/clusters reconstruction Groups that ‘survive’ (2 o more members left) as a function of limiting magnitude and vir … … adding zCosmos survey strategy.

  6. VDM groups/clusters reconstruction Groups that ‘survive’ (2 o more members left) as a function of limiting magnitude and vir … … adding zCosmos survey strategy.

  7. VDM groups/clusters reconstruction Groups that ‘survive’ (2 o more members left) as a function of limiting magnitude and vir … … adding zCosmos survey strategy.

  8. VDM groups/clusters reconstruction Groups that ‘survive’ (2 o more members left) as a function of limiting magnitude and vir … … adding zCosmos survey strategy.

  9. VDM groups/clusters reconstruction How our observational strategy (mag limit+ sampling rate+Verr) limits our ability in estimating vir?

  10. VDM groups/clusters reconstruction How our observational strategy (mag limit+ sampling rate+Verr) limits our ability in estimating vir? 10 K

  11. VDM groups/clusters reconstruction How our observational strategy (mag limit+ sampling rate+Verr) limits our ability in estimating vir? 10 K

  12. VDM groups/clusters reconstruction How our observational strategy (mag limit+ sampling rate+Verr) limits our ability in estimating vir? 10 K

  13. VDM groups/clusters reconstruction How our observational strategy (mag limit+ sampling rate+Verr) limits our ability in estimating vir? 20 K

  14. VDM groups/clusters reconstruction How our observational strategy (mag limit+ sampling rate+Verr) limits our ability in estimating vir? 20 K

  15. VDM groups/clusters reconstruction How our observational strategy (mag limit+ sampling rate+Verr) limits our ability in estimating vir? 20 K

  16. VDM groups/clusters reconstruction The Voronoi-Delauney algorithm for groups reconstruction (Marinoni et al. 2002) 1-Galaxy group centers are identified by peaks in the galaxy density field.

  17. VDM groups/clusters reconstruction First Step 3-D identification of groups seeds ~ volume occupied by each galaxy Voronoi-Delauney mesh

  18. VDM groups/clusters reconstruction The Voronoi-Delauney algorithm for groups reconstruction (Marinoni et al. 2002) 1-Galaxy group centers are identified by peaks in the galaxy density field. 2-Allgalaxies located within a cylindrical volume in redshift space centered on that concentration are assigned to the group.

  19. VDM groups/clusters reconstruction Second Step Adaptive scaling that takes into account central richness, exploiting the richness-vel disp correlation

  20. VDM groups/clusters reconstruction VD (Voronoi-Delauney) method depends uniquely on the geometry of the distribution of galaxies + parameters depending on the simple physical definition of a group/cluster. No a-priori length scale defined (as for FoF) No need to use LF of galaxies More physical considerations: the two parameters that define the search (R and L) have a simple meaningful interpretation (core-radius + vel disp)

  21. VDM groups/clusters reconstruction Bottom line: -1 is really fast -2 more physical considerations, less ad hoc choices -3 should be relatively easy to describe the cluster sample completeness and selection function in terms of cluster velocity dispersion (i.e. what we want to compare with theoretical models of structure formation).

  22. VDM groups/clusters reconstruction We have started extensive tests using the Millennium Simulations cones … We have produced mocks that reproduce the selection biases of the true z-Cosmos sample … • Spoc (and its mag • dependence in slit • positioning efficiency) • success rate in • redshift measurements

  23. VDM groups/clusters reconstruction We have started extensive tests using the Millennium Simulations cones … We have produced mocks that reproduce the selection biases of the true z-Cosmos sample … • Spoc (and its mag • dependence in slit • positioning efficiency) • success rate in • redshift measurements

  24. VDM groups/clusters reconstruction We have started extensive tests using the Millennium Simulations cones … We have produced mocks that reproduce the selection biases of the true z-Cosmos sample … We have run a full battery of VDM parameters and searched for the best possible completeness and purity of the resulting galaxy catalogue …

  25. VDM groups/clusters reconstruction Our results from simulations: Purity = 0.58 (0.54 2-ways) Completeness = 0.73 (0.50 2-ways) Interlopers fraction = 0.38 Galaxies successfully recovered = 0.68 Completeness improve removing pairs from catalogue: Completeness no pairs = 0.81 (0.64two ways) while purity does not change much … … we hope to improve further !!

  26. VDM groups/clusters reconstruction purity completeness

  27. VDM groups/clusters reconstruction Goodness of  measurement in VDm groups …

  28. VDM groups/clusters reconstruction Goodness of  measurement in VDm groups …

  29. VDM groups/clusters reconstruction An example mock cone …

  30. VDM groups/clusters reconstruction An example mock cone …

  31. VDM groups/clusters reconstruction An example mock cone …

  32. VDM groups/clusters reconstruction An example mock cone …

  33. VDM groups/clusters reconstruction An example mock cone …

  34. VDM groups/clusters reconstruction Now *our* cone … Numbers: ss s ls 486 572 All 182 193 209 pairs 117 143 triplets 56 61 72 quartets 68 70 90 5 or more

  35. VDM groups/clusters reconstruction Now *our* cone …

  36. VDM groups/clusters reconstruction Now *our* cone …

  37. VDM groups/clusters reconstruction Now *our* cone …

  38. VDM groups/clusters reconstruction Now *our* cone …

  39. VDM groups/clusters reconstruction Now *our* cone …

  40. VDM groups/clusters reconstruction Now *our* cone …

  41. VDM groups/clusters reconstruction Now *our* cone …

  42. VDM groups/clusters reconstruction Now *our* cone …

  43. VDM groups/clusters reconstruction Now *our* cone …

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