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Observational Cosmology (C. Porciani / K. Basu) Lecture 7 Cosmology with galaxy clusters (Mass function, clusters surveys) Course website: http://www.astro.uni-bonn.de/~kbasu/astro845.html Observational Cosmology Lecture 7 (K. Basu):


  1. Observational Cosmology (C. Porciani / K. Basu) Lecture 7 Cosmology with galaxy clusters (Mass function, clusters surveys) Course website: http://www.astro.uni-bonn.de/~kbasu/astro845.html Observational Cosmology Lecture 7 (K. Basu): Cosmology with Galaxy Clusters

  2. Outline of the two lecture Galaxy clusters as tools for cosmology The physics and astrophysics of galaxy cluster cosmology Observation and mass modeling of clusters The X-ray and Sunyaev-Zel’dovich observables Optical and radio observation of galaxy clusters Current and future cluster surveys 2 Observational Cosmology Lecture 7 (K. Basu): Cosmology with Galaxy Clusters

  3. Cosmology with galaxy clusters • Growth of cosmic structure from cluster number counts (use of halo mass function) • Measuring distances using clusters as standard candles (joint X-ray/SZE) • Using the gas mass fraction in clusters to measure the cosmic baryon density • Measuring the large-scale velocity fields in the universe from kinematic SZE • Constraints from galaxy cluster power spectrum 3 Observational Cosmology Lecture 7 (K. Basu): Cosmology with Galaxy Clusters

  4. What are galaxy clusters? Galaxy clusters are the most massive, collapsed structures in the universe. They contain galaxies, hot, ionized gas (10 7-8 K) and dark matter. In typical structure formation scenarios, low mass clusters emerge in significant numbers at z~2-3. Clusters are good probes, because they are massive − an “easy” to detect through their: • X-ray emission • Sunyaev-Zel’dovich E fg ect • Light from galaxies • Gravitational lensing 4 Observational Cosmology Lecture 7 (K. Basu): Cosmology with Galaxy Clusters

  5. Galaxy clusters in simulations 700 Mpc comoving cube Galaxy clusters: rare peaks in the density field 5 Observational Cosmology Lecture 7 (K. Basu): Cosmology with Galaxy Clusters

  6. Space density of clusters Clusters are rare objects. For standard Λ CDM cosmology ( Ω m =0.3, Ω Λ =0.7, h=0.7, σ 8 =0.9), the space density of >10 14 M ☉ halos is 7 x 10 -5 Mpc -3. Galaxy clusters represent the end result of the density fluctuations involving comoving scales of ~10-20 Mpc. This marks the transition between two distinct dynamical states: On scales above ~10 Mpc, evolution of the universe is driven by gravity. This regime can be analyzed by analytical methods, or more accurately, with computer N-body simulations. At scales below ~1 Mpc, the physics of baryons start to play an important role, and complicates the process. 6 Observational Cosmology Lecture 7 (K. Basu): Cosmology with Galaxy Clusters

  7. Growth of structures Ω m =0.3, Ω Λ =0.7 Normalized w.r.t. local cluster density Ω m =1.0 Borgani & Guzzo, Nature, 2001 Example showing the role of galaxy clusters in tracing the cosmic evolution, in particular dark matter and dark energy contents. 7 Observational Cosmology Lecture 7 (K. Basu): Cosmology with Galaxy Clusters

  8. The Halo Mass Function # of clusters per unit area and z: • Consider the cosmic density field filtered on mass scale M • Assume that density perturbations have collapsed by the time their linearly evolved overdensity exceeds some critical value δ c • Number density of collapsed objects with mass M is then proportional to an integral over a Gaussian distribution This is the famous Press-Schechter mass function 8 Observational Cosmology Lecture 7 (K. Basu): Cosmology with Galaxy Clusters

  9. Correction to PS approach Despite its very simple formalism, Press-Schechter formula has served remarkably well as a guide to constrain cosmological parameters from the mass distribution of galaxy clusters. Only with the advent of large N-body simulations, significant deviations of the PS description from the exact numerical description is noticed. 9 Observational Cosmology Lecture 7 (K. Basu): Cosmology with Galaxy Clusters

  10. Cluster cosmology & astrophysics Bayes’ theorem makes clear that identifying the most likely cosmology is dependent on knowing how likely the observations are within that cosmological model: P(C | R) ~ P(R | C) P prior (C) For galaxy clusters, nonlinear dynamics and astropysical uncertainties (e.g. uncertain baryonic physics) complicate the computation of the observable likelihood P(R | C) . The question of computing the likelihood can be split into two parts: • How many clusters of mass M exist in this cosmology at redshift z? • What is the likelihood that a cluster of mass M at redshift z will have temperature T x (or some other observable) 10 Observational Cosmology Lecture 7 (K. Basu): Cosmology with Galaxy Clusters

  11. Mass budget in clusters White et al. (1993) 11 Observational Cosmology Lecture 7 (K. Basu): Cosmology with Galaxy Clusters

  12. Selection of clusters Cleanest selection techniques for clusters are those that couple properties of the high-density “virial” regions • Clusters light up in X-ray or SZE only when they collapse (i.e. form the dark matter halos counted in N-body simulations) • Galaxy counting and shear selection is problematic because it is challenging to separate massive clusters from surrounding large scale structures ‣ Shear couples to mass whether inside or outside the clusters ‣ Red galaxies exist in clusters and surrounding large-scale structures ‣ Convergent velocity fields around massive clusters make redshift a blunt too to determine cluster membership 12 Observational Cosmology Lecture 7 (K. Basu): Cosmology with Galaxy Clusters

  13. Intra-Cluster Medium (ICM) • Majority of observable cluster mass (majority of baryons) is hot gas • Temperature T ~ 10 8 K ~ 10 keV (heated by gravitational potential) • Electron number density n e ~ 10 -3 cm -3 • Mainly H, He, but with heavy elements (O, Fe, ..) • Mainly emits X-rays (but also radio and gamma rays) • L X ~ 10 45 erg/s, most luminous extended X-ray sources in Universe • Causes the Sunyaev-Zel’dovich e fg ect (SZE) by inverse Compton scattering the background CMB photons 13 Observational Cosmology Lecture 7 (K. Basu): Cosmology with Galaxy Clusters

  14. X-ray emission from clusters Thermal Bremsstahlung 14 Observational Cosmology Lecture 7 (K. Basu): Cosmology with Galaxy Clusters

  15. X-ray spectra free-free recombination 2-photon 15 Observational Cosmology Lecture 7 (K. Basu): Cosmology with Galaxy Clusters

  16. X-ray observatories XMM-Newton Wolter type III mirror assembly (Hans Wolter, 1952) Chandra 16 Observational Cosmology Lecture 7 (K. Basu): Cosmology with Galaxy Clusters

  17. X-ray cluster samples The X-ray flux limit establishes a simple criterion for sample completeness and searching volume, thereby giving a reasonably accurate idea for the number of objects per unit volume. 17 Observational Cosmology Lecture 7 (K. Basu): Cosmology with Galaxy Clusters

  18. The Sunyaev-Zel’dovich (SZ) e fg ect 1-2% of the CMB photons traversing galaxy clusters are inverse Compton scattered to higher energy 18 Observational Cosmology Lecture 7 (K. Basu): Cosmology with Galaxy Clusters

  19. Properties of the SZ e fg ect Thermal SZE is a small (<1 mK) distortion in the CMB caused by inverse Compton scattering of the CMB photons Total cluster flux density is independent of redshift! 19 Observational Cosmology Lecture 7 (K. Basu): Cosmology with Galaxy Clusters

  20. SZ spectrum Thermal SZE frequency dependence: kinematic SZE: 20 Observational Cosmology Lecture 7 (K. Basu): Cosmology with Galaxy Clusters

  21. Simple models of the ICM A consistently good empirical fit! For cool core cluster a much better fit is double β -model 21 Observational Cosmology Lecture 7 (K. Basu): Cosmology with Galaxy Clusters

  22. X-ray and SZ in β -model The most convenient feature of isothermal β -model is that X-ray surface brightness and SZE decrement takes simple analytical forms Try writing these two expressions in full details by solving these two integrals: (integration is along the line of sight dl = D A d ζ ) 22 Observational Cosmology Lecture 7 (K. Basu): Cosmology with Galaxy Clusters

  23. Solving for n e Integrating over density distribution gives total gas mass: 23 Observational Cosmology Lecture 7 (K. Basu): Cosmology with Galaxy Clusters

  24. Solving for d A Reese et al. 2002 24 Observational Cosmology Lecture 7 (K. Basu): Cosmology with Galaxy Clusters

  25. Gas mass fraction Since galaxy clusters collapse from a scale of ~10 Mpc, they are expected to contain a fair sample of the baryonic content of the universe (mass segregation is not believed to occur at such large scales). The gas mass fraction, f gas , is therefore a reasonable estimate of the baryonic mass fraction of the cluster. It should also be reasonable approximation to the universal baryon mass fraction, f B = Ω B / Ω m In reality, f gas ≤ f B always! Mantz, Allen et al. Next lecture !! 25 Observational Cosmology Lecture 7 (K. Basu): Cosmology with Galaxy Clusters

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