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Observational Cosmology Tom Shanks Durham University.

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Presentation on theme: "Observational Cosmology Tom Shanks Durham University."— Presentation transcript:

1 Observational Cosmology Tom Shanks Durham University

2 Summary Review observational evidence for standard cosmological model -  CDM Then review its outstanding problems - astrophysical + fundamental Briefly look at difficulties in finding an alternative model Conclude - whether  CDM is right or wrong - its an interesting time for cosmology!

3 Observational cosmology supports  CDM! Boomerang + WMAP CMB experiments detect acoustic peak at l=220(≈1deg)  Spatially flat, CDM Universe (de Bernardis et al. 2000, Spergel et al 2003, 2006) SNIa Hubble Diagram requires an accelerating Universe with a cosmological constant,   CDM also fits galaxy and QSO clustering results (e.g. Cole et al 2005)

4

5 WMAP 3-Year CMB Map

6 WMAP 3-Year Power Spectrum Spatially flat, (k=0) universe comprising: ~72% Dark Energy ~24% CDM ~4% Baryons (Hinshaw et al. 2003, 2006, Spergel et al. 2003, 2006)

7 SNIa 0.5mag fainter than expected at z~1 if  m =1  Universe flat (k=0) + accelerating with   ~0.7 Vacuum/ Dark energy eqn of state Supernova Cosmology Credits: ESSENCE+ Supernova Legacy Survey + HST Gold Sample distance modulus

8 AAT 2dF Redshift Surveys 2dF ~400 fibres over 3deg 2 -50 x bigger field than VLT vs 4x smaller mirror 2dF galaxy and QSO z survey clustering also supports  CDM

9 2dF Galaxy Redshift Survey

10 2dFGRS Power Spectrum 60h -1 Mpc 300h -1 Mpc 15h -1 Mpc 2dFGRS power spectrum from ~250000 galaxies (Cole et al 2005) Results fit  CDM

11 The 2dF QSO Redshift Survey 23340 QSOs observed

12 2dF QSO Power Spectrum Observed QSO P(k) also agrees with  CDM Mock QSO Catalogue from Hubble Volume simulation Outram et al 2003 500h -1 Mpc50h -1 Mpc  CDM Input Spectrum Hubble Volume  1 

13 SDSS DR5:Million Spectra, 8000 sq degs Extension (2005-2008): Legacy, SNe, Galaxy

14 Baryon Acoustic Oscillations (BAO) as a standard ruler Detections of BAOs in the galaxy power spectrum at low redshift (e.g. Cole et al.,2004, Tegmark et al.,2006) and the Luminous Red Galaxy Correlation Function (Eisenstein et al., 2005) at 2-3σ Many large projects and studies propose to use BAOs in survey volume of ~Gpc 3 as a standard ruler (DES, WFMOS, WiggleZ) to study Dark Energy Equation of State. (w= -1 for cosmological constant)

15 2SLAQ LRG Wedge Plot

16 SDSS LRG correlation function Correlation function from 45000 SDSS Luminous Red Galaxies - LRGs (Eisenstein et al 2005 - see also Cole et al 2005) Detects Baryon Acoustic Oscillation (BAO) at s~100h -1 Mpc from z~0.35 LRGs

17 First Baryon Wiggles in 1985  (s) from ~500 Durham/AAT Z Survey B<17 galaxies (Shanks et al 1985) First “detection” of baryon wiggles But not detected in Durham/UKST or 2QZ surveys

18 Photometric redshifts Today - photo-z available from imaging surveys such as SDSS Redshift accuracy typically  z~  0.05 or ~  150Mpc for Luminous Red Galaxies even from colour cuts Use photo-z to detect BAO and also Integrated Sachs Wolfe Effect

19 In a flat matter-dominated universe, photon blueshift and redshift on entering and leaving cluster cancels but not if DE acceleration. Results in net higher temperature near overdensity Physical detection of Dark Energy: Influencing the growth of structure Integrated Sachs Wolfe (ISW)

20 WMAP W band Luminous Red Galaxies (LRGs) No ISW signal in a flat, matter dominated Universe WMAP-SDSS cross-correlation

21 ISW: SDSS LRGs-WMAP Cross-correlation of SDSS LRGs and WMAP CMB suggests direct evidence of Dark Energy (Scranton et al 2005) Many caveats but various surveys now aimed at BAO and ISW using spectroscopic and photo-z LRG samples

22 And yet…….

23 Astrophysical Problems for  CDM Too much small scale power in mass distribution? Mass profile of LSB galaxies less sharply peaked than predicted by CDM (Moore et al, 1999a) Instability of spiral disks to disruption by CDM sub- haloes (Moore et al, 1999b) Observed galaxy LF is much flatter than predicted by CDM - even with feedback (eg Bower et al, 2006).  CDM  Massive galaxies form late vs. “downsizing” Slope of galaxy correlation function is flatter than predicted by  CDM mass  anti-bias  simple high peaks bias disallowed (eg Cole et al, 1998) L X -T relation  galaxy clusters not scale-free?

24 Joe Silk’s  CDM issues (~2005)

25 CDM Mass Function v Galaxy LF CDM halo mass function is steeper than faint galaxy LF Various forms of feedback are invoked to try and explain this issue away Gravitational galaxy formation theory becomes a feedback theory! (from Benson et al 2003) CDM haloes

26 CDM Mergers vs Observation  CDM requires large amount of hierarchical merging at z<1 due to flat slope of power spectrum  CDM  E/S0 (d~10kpc) at z=0 scattered over ~1Mpc at z~1 But latest observations show little evidence of strong dynamical evolution

27 No evolution seen for z<1 early-types Brown et al (2007)  CDM predicts big galaxies form late but observe the reverse - “downsizing”! Wake et al (2007)

28 QSO Luminosity Evolution 2dF QSO Luminosity Function (Croom et al 2003) Brighter QSOs at higher z Again not immediately suggestive of “bottom up”  CDM

29 Fundamental Problems for  CDM   CDM requires 2 pieces of undiscovered physics!!!  makes model complicated+fine-tuned   is small - after inflation,   /  rad ~ 1 in 10 102 Also, today   ~  Matter - Why? To start with one fine tuning (flatness) problem and end up with several - seems circular!  anthropic principle ?!? CDM Particle - No Laboratory Detection Optimists  like search for neutrino! Pessimists  like search for E-M ether!

30 Dark Energy - bad for Astronomy? Simon White arguing against devoting too many resources to chasing DE Argues on basis of general utility of telescopes But not a ringing vote of confidence in DE!!! astro-ph/0704.2291

31 Ed Witten -“Strings 2001” http://theory.tifr.res.in/strings /Proceedings/witten/22.html String theory prefers a negative  (anti-de Sitter!) rather than the observed positive 

32 Fundamental Problems for  CDM   CDM requires 2 pieces of undiscovered physics!!!  makes model complicated+fine-tuned   is small - after inflation,   /  rad ~ 1 in 10 102 Also, today   ~  Matter - Why? To start with one fine tuning (flatness) problem and end up with several - seems circular!  anthropic principle ?!? CDM Particle - No Laboratory Detection Optimists  like search for neutrino! Pessimists  like search for E-M ether!

33 XENON10 + CDMS2 Limits Best previous upper limits on mass of CDM particle from direct detection - CDMS2 in Soudan Underground lab (Akerib et al 2004) Now further improved by 3 months data from XENON10 experiment - (Angle et al astro- ph/0706.0039)

34 MSSM Neutralino Excluded? m 0, m 1/2 related to masses of particles which mix to become neutralino (Ellis et al 2007 hep-ph/0706.0977) allowed by WMAP CDMS2 direct detection upper limit XENON10 direct detection upper limit

35 Fundamental Problems for CDM Even without , CDM model has fine tuning since  CDM ~  baryon (Peebles 1985) Baryonic Dark Matter needed anyway! Nucleosynthesis   baryon ~ 10 x  star Also Coma DM has significant baryon component

36 Coma cluster dark matter

37 Coma galaxy cluster gas Coma contains hot X-ray gas (~20%) X-ray map of Coma from XMM-Newton (Briel et al 2001) If M/L=5 then less plausible to invoke cosmological density of exotic particles than if M/L=60-600!

38 H 0 route to a simpler model - or Shanks’ road to ruin! X-Ray gas becomes Missing Mass in Coma. In central r<1h -1 Mpc:- Virial Mass  6  10 14 h -1 M o M vir /M X =15h 1.5 X-ray Gas Mass  4  10 13 h -2.5 M o Thus M vir /M X =15 if h=1.0, 5 if h=0.5, 1.9 if h=0.25

39 3 Advantages of low H 0 Shanks (1985) - if H o <30kms -1 Mpc -1 then: X-ray gas becomes Dark Matter in Coma Inflationary  baryon =1 model in better agreement with nucleosynthesis Light element abundances   baryon h 2 <0.06  baryon  1 starts to be allowed if h  0.3 Inflation+EdS =>   =1 => Globular Cluster Ages of 13-16Gyr require H o <40kms -1 Mpc -1 But the first acoustic peak is at l=330, not l=220

40 Escape routes from  CDM? SNIa Hubble Diagram - Evolution? Galaxy/QSO P(k) - scale dependent bias - abandon the assumption that galaxies trace the mass ! WMAP - cosmic foregrounds? Galaxy Clusters - SZ inverse Compton scattering of CMB Galaxy Clusters - lensing of CMB

41 Cluster-strong lensing+shear HST Advanced Camera for Surveys image of A1689 at z=0.18 (Broadhurst et al 2006) Effects of lensing recognised to be widespread since advent of HST high resolution images 10 years ago

42 The 2dF QSO Redshift Survey 23340 QSOs observed

43 SDSS Galaxy Groups in 2QZ NGC area 2dF QSO Lensing Cross-correlate z~2 QSOs with foreground z~0.1 galaxy groups At faint QSO limit of 2dF lensing  anti- correlation  measure group masses

44 2dF QSO-group lensing Strong anti- correlation between 2dF QSOs and foreground galaxy groups  high group masses   M ≈1 and/or mass clusters more strongly than galaxies Myers et al 2003, 2005, Guimaraes et al, 2005, Mountrichas & Shanks 2007

45 Can lensing move 1st peak? WMAP z~10 Reionisation + QSO lensing effects of galaxies and groups from Myers et al (2003, 2005)  l=330  l=220 Still need SZ for 2nd peak!?!  other models can be fine-tuned to fit WMAP first peak? Shanks, 2007, MNRAS, 376, 173

46 Conclusions  CDM gains strong support from observational cosmology - WMAP, SNIa, P(k) But assumes “undiscovered physics” + very finely-tuned + problems in many other areas eg “downsizing” QSO lensing  galaxy groups have more mass than expected from virial theorem Could smoothing of CMB by lensing give escape route to simpler models than  CDM?? But excitement guaranteed either via exotic dark matter+energy or by new models

47 Implications for CMB Lensing CMB lensing smoothing functions,  (  )/  Only one that improves WMAP fit is  (  )=constant (black line) Requires  mass  r -3 or steeper Also requires anti- bias at b~0.2 level


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