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Clustering in the Cosmic Evolution Survey (COSMOS) Luigi Guzzo (INAF, Milano) N. Scoville, A. El Zant, O. Le Fevre, B. Meneux, A. Pollo & COSMOS Team (Fundamental photometry and catalogue work: B. Mobasher, P. Capak, H. Aussel, H. Mc Cracken, S. Lilly, P. Shopbell, Y. Taniguchi, D. Thompson)
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Basic goal of COSMOS: measure the interplay between the growth of large-scale structure and the formation and evolution of galaxy properties within it (morphology, SED, size, luminosity, presence of central black hole, …) Quantify local structure via moments of the galaxy distribution: mean density, two-point correlation function, higher-order moments Measure two-point correlation function as a function of redshift from photo-z COSMOS catalogue
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COSMOS photo-z catalogue: U (CFHT) + BVriz (Subaru) + K (KPNO/CTIO)
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Redshift-space correlations simply destroyed by photo-z errors Solution: treat redshift errors as (very large) redshift-space distortions and use projected function in z slices
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I AB < 23 (to keep errors down) 150.83 < RA < 149.4 & 1.5 < DEC < 2.9 Redshift slices: 0.1 – 0.5 34973 galaxies 0.2 – 0.6 38084 galaxies 0.3 – 0.7 36940 galaxies 0.4 – 0.8 35481 galaxies 0.5 – 0.9 31809 galaxies 0.6 – 1.0 22363 galaxies (0.8 – 1.2 6590 galaxies) Current analysis facts
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no apparent evolution of galaxy (r) when a magnitude-limited sample is analyzed, consistent with results from the VVDS spectroscopic survey (Le Fevre et al. astro-ph/0409135) combined effect of growth of structure, evolution of galaxy bias (e.g. Marinoni et al 2005) and dependence on luminosity of the latter Correlation length r 0 and slope g of (r) recovered fairly well via the projected function w p (r p ) over thick redshift slices: mock sample experiments indicate ~20% under-estimate of r 0 To be further improved via: better photo-z via improved photometry (reduced systematics) 21-filter narrow-band SUBARU imaging (Taniguchi et al); VLT-VIMOS spectroscopic survey (60 nights) Next step: measure clustering of morphological classes Summary:
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