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Clusters of Galaxies

Clusters of Galaxies. Erin Ryan and Michele Benesh University of Minnesota School of Physics and Astronomy Minneapolis, MN 55455 December 6, 2006. Clusters of Galaxies. Bound by gravity – dark matter Virial equilibrium at center Scale when correlation function ~1 is 8 Mpc

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Clusters of Galaxies

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  1. Clusters of Galaxies Erin Ryan and Michele BeneshUniversity of MinnesotaSchool of Physics and AstronomyMinneapolis, MN 55455December 6, 2006

  2. Clusters of Galaxies • Bound by gravity – dark matter • Virial equilibrium at center • Scale when correlation function ~1 is 8 Mpc • Contain diffuse gas – intracluster medium • Dense clusters powerful emitters of X-rays • Emission is increasing with cosmic time

  3. X-Ray Clusters • Main source of radiation is thermal bremsstrahlung • Ionized, hot intergalactic gas, T • Emission lines • attributed to highly ionized iron • yield gas temperatures • Seen in cooler clusters (< 3keV)

  4. X-Ray Clusters • Mass of ionized gas-to-star ratio • Unity in poor clusters, up to 5 in rich clusters • Heavy elements – solar abundances • Heavily processed material likely ejected by galaxies • collisions with other galaxies • ram pressure due to hot intergalactic gas

  5. Example X-Ray Clusters

  6. X-Ray Clusters • Various analyses • Provide lower limit on temperature of gas • Mass and dark matter measurements • Determination of dynamical state • Interaction between cluster and intracluster gas • Emissions are proportional to

  7. Physical Properties of clusters • Crossing times: • Virial Mass:

  8. X-Ray properties of Clusters • Temperatures

  9. Emission mechanism • Temperatures are high enough that gas should be fully ionized- emission dominated by thermal bremmstrahlung • Good for clusters with kT > 3 keV, for cooler systems need to include metal cooling • If integrate emissivity over X-ray range, luminosities are on the order of 1043-1045 erg s-1

  10. Temperature-Mass Relation • For Einstein-deSitter cosmology, ∆vir is constant. For isothermal gas then T  M 2/3(1+z)

  11. Local number density of Clusters • Luminosity function normally modelled with Schechter function. If using flux limited sample with measured redshifts and luminosities, can get density of clusters in each luminosity bin:

  12. Plot of local number density

  13. Cluster Abundance at High Redshifts and its evolution • One major issue: for some samples redshifts aren’t available. • Another issue: Limited volume of surveys means it’s hard to find the very bright systems (as there are less of them) • In general: comoving space density of cluster population is approximately constant out to z~1 but most luminous (most massive) clusters were likely rarer at “high” redshifts (z > 0.5)

  14. High Redshift number density

  15. Finding the Cosmological Mass function • Using one of our favorite eqns: • Using only the number density of clusters with mass M, can constrain amplitude of density perturbations at physical scale R  (M/mcrit)1/3 • Because scale depends on both M and m, mass function of nearby clusters is only able to constrain relation between 8 and m

  16. Sensitivity of cluster mass function to cosmology

  17. Deriving m from cluster evolution • Link between total cluster virial mass and gas temperature: • Observationally: Mvir-T relation is consistent with T  M2/3 scaling law at least for T > 3 keV clusters but with 40% lower normalization. At lower temps there is evidence for a steeper slope (possibly due to energy feedback, ie. SN and AGN and radiative cooling)

  18. Other technique: Sunyaev-Zeldovich • Two kinds: thermal and kinetic. Mostly we see thermal

  19. Thermal SZE • Distortion to CMB spectra cause by inverse compton scattering: CMB photon scatters off electrons, thus getting a boost of energy causing small (< 1 mK) distortion in CMB • Decreases CMB flux at  < 218 GHz

  20. Effects of SZE

  21. Measuring thermal energy of cluster • SZE flux= temp weight mass of cluster divided by DA2 • At high z: DA(z) relatively flat • Cluster of given mass hotter and denser at high z because matter density  (1+z)3

  22. Kinetic SZE • As seen in plots it is very small: • Vpec is the line of sight velocity of the cluster

  23. Sources of Contamination • Anisotropy: (not normally a problem as anisotropy is over larger scales than a cluster size which is normally a few arcmin). • Radio point sources • Dust

  24. An example cluster: Abell 2163

  25. Distant Determinations, Hubble Constant • Need to use SZE and X-ray observations in combination: SZE is proportional to density to the first power, X-ray is proportional to density squared. • If you also have redshifts for clusters then one can fit the Hubble Parameter given a geometry of the universe.

  26. Redshift-DA from clusters

  27. Cluster Gas-Mass fractions • Know that fB = B/ M so if you can get an estimate of M if you can get a baryon fraction and know B (which you can estimate from D-H ratios in Ly- observations) • Use the gas mass fraction as a lower limit on fB • Gas mass measured directly by SZE assuming Te known (again huzzah X-ray obs): derived gas fraction proportional to ∆TSZE/Te2 • Two local samples: A2142, A2256 and Coma: fgh=0.061 +/- 0.011 @ 1-1.5h-1 Mpc A478: fgh=0.16 +/- 0.14 reported • @ high z: use temp weighting from local as no X-ray obs

  28. Measuring Peculiar Velocities • Can measure large scale velocity fields at high redshift • Only problem is that you have to look at the thermal null at about 218 GHz, and we already know it’s a very weak signature • However- if you can do it for a number of clusters in a given redshift bin you can determine the average peculiar velocity which will trace evolution of expansion through those redshift bins

  29. References • Calstrom, J.E., Holder, G.P., Reese, E.D., 2002, Annu. Rev. Astron. Astrophys., 40, 643. • Norman, M.L., 2005, in Proceedings of the International School of Physics CLIX, Background Microwave Radiation and Intracluster Cosmology, ed. F. Melchiorri and Y. Rephaeli (Bologna, Società Italiana di Fisica), 1. • Rees, M., 1992, in Proceedings of the NATO Advanced Study Institute on Clusters and Superclusters of Galaxies, ed. A.C. Fabian (Netherlands, Kluwer), 1. • Rosati, P., Borgani, S., Norman, C., 2002, Annu. Rev. Astron. Astrophys., 40, 539. • Schindler, S., 2003, ChJAS, 3, 97. • Uson, J.M., Wilkinson, D.T, 1988., in Galactic and Extragalacticv Astronomy, eds. G.L. Verschuur and K.I. Kellermann (Springer-Verlag), 603.

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