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Statistics of galaxy groups in ultraDeep XMM surveys. Alexis Finoguenov Max-Planck Institut fuer extraterrestrische Physik University of Maryland, Baltimore County & COSMOS, eCDFS, UDS/SXDF teams. COSMOS. Challenges due to XMM PSF. Incomplete candidate list
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Statistics of galaxy groups in ultraDeep XMM surveys Alexis Finoguenov Max-Planck Institut fuer extraterrestrische Physik University of Maryland, Baltimore County & COSMOS, eCDFS, UDS/SXDF teams
COSMOS Statistics of galaxy groups
Challenges due to XMM PSF • Incomplete candidate list • Verified against Chandra clusters • False detection • Proper threshold ratio for point vs extended source • AGN flux removal • Profits from having Chandra coverage Statistics of galaxy groups
CDF S+N original Statistics of galaxy groups
CDF S+N restored Statistics of galaxy groups
CDF S+N diffuse Statistics of galaxy groups
CDFS: X-ray scaling relations Statistics of galaxy groups
COSMOS: scaling using weak lensing Credit: Alexie Leauthaud + COSMOS weak lensing team Statistics of galaxy groups
Group statistics:COSMOS & CDFS Self-consistent evidence for no evolution in Lx function! Statistics of galaxy groups
Survey strategies to detect evolution Statistics of galaxy groups
Strategy of high-z cluster detection 1 Statistics of galaxy groups
The UKIDSS Ultra-Deep Survey 0.77 sq degrees K=23, H=24, J=25 (5, Vega, point source) Year 1: K=21.8, J=23.0 (86 hours) EDR: K=20.6, J=21.7 (12 hours) 0.88 deg. Almaini et al. 2006 Statistics of galaxy groups
UDS Statistics of galaxy groups
z=1.408 cluster Statistics of galaxy groups
Conclusions • Deep surveys are dominated by clusters with non-evolving luminosity function • X-ray spectroscopy, stacked weak lensing and clustering could all be used to yield the total mass • Deep X-ray surveys extended over an area >1 square degree access cosmological parameters at z=1.5 Statistics of galaxy groups