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Statistics of galaxy Statistics of galaxy groups in ultraDeep groups in ultraDeep XMM surveys XMM surveys Alexis Finoguenov Alexis Finoguenov Max-Planck Institut fuer extraterrestrische Max-Planck Institut fuer extraterrestrische Physik Physik University of Maryland, Baltimore County University of Maryland, Baltimore County & COSMOS, eCDFS, UDS/SXDF teams & COSMOS, eCDFS, UDS/SXDF teams

Statistics of galaxy groups in ultraDeep XMM surveys

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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 - PowerPoint PPT Presentation

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Page 1: Statistics of galaxy groups in   ultraDeep XMM surveys

Statistics of galaxy Statistics of galaxy groups in ultraDeep groups in ultraDeep

XMM surveys XMM surveys

Alexis FinoguenovAlexis Finoguenov

Max-Planck Institut fuer extraterrestrische PhysikMax-Planck Institut fuer extraterrestrische PhysikUniversity of Maryland, Baltimore CountyUniversity of Maryland, Baltimore County

& COSMOS, eCDFS, UDS/SXDF teams& COSMOS, eCDFS, UDS/SXDF teams

Page 2: Statistics of galaxy groups in   ultraDeep XMM surveys

Alexis Finoguenov Statistics of galaxy groups 2

Page 3: Statistics of galaxy groups in   ultraDeep XMM surveys

Alexis Finoguenov Statistics of galaxy groups 3

COSMOS

Page 4: Statistics of galaxy groups in   ultraDeep XMM surveys

Alexis Finoguenov Statistics of galaxy groups 4

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

Page 5: Statistics of galaxy groups in   ultraDeep XMM surveys

Alexis Finoguenov Statistics of galaxy groups 5

CDF S+N original

Page 6: Statistics of galaxy groups in   ultraDeep XMM surveys

Alexis Finoguenov Statistics of galaxy groups 6

CDF S+N restored

Page 7: Statistics of galaxy groups in   ultraDeep XMM surveys

Alexis Finoguenov Statistics of galaxy groups 7

CDF S+N diffuse

Page 8: Statistics of galaxy groups in   ultraDeep XMM surveys

Alexis Finoguenov Statistics of galaxy groups 8

CDFS: X-ray scaling relations

Page 9: Statistics of galaxy groups in   ultraDeep XMM surveys

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COSMOS: scaling using weak lensing

Credit: Alexie Leauthaud + COSMOS weak lensing team

Page 10: Statistics of galaxy groups in   ultraDeep XMM surveys

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Group statistics:Group statistics: COSMOSCOSMOS & & CDFSCDFS

Self-consistent evidence for no evolution in Lx function!Self-consistent evidence for no evolution in Lx function!

Page 11: Statistics of galaxy groups in   ultraDeep XMM surveys

Alexis Finoguenov Statistics of galaxy groups 11

Survey strategies to detect evolution

fxrequired

areaLx

z evol

bias@peak

z off survey

1.e-15

>1 2.e43 >1 1.8 1.9UDS/DUXultraVISTA

1.e-14

>10 5.e43 >0.7 2.6 1.4 XMM-LSSXCS

1.e-13

>200 2.e44 >0.2 3.7 1.1 400d

1.e-12

>10k 1.e45 >0 5.8 0.8RASS

Page 12: Statistics of galaxy groups in   ultraDeep XMM surveys

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Strategy of high-z cluster detection

1

Page 13: Statistics of galaxy groups in   ultraDeep XMM surveys

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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

Page 14: Statistics of galaxy groups in   ultraDeep XMM surveys

Alexis Finoguenov Statistics of galaxy groups 14

U

D

S

Page 15: Statistics of galaxy groups in   ultraDeep XMM surveys

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z=1.408 cluster

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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