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AY202a Galaxies & Dynamics Lecture 18: Galaxy Clusters & Cosmology

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Presentation on theme: "AY202a Galaxies & Dynamics Lecture 18: Galaxy Clusters & Cosmology"— Presentation transcript:

1 AY202a Galaxies & Dynamics Lecture 18: Galaxy Clusters & Cosmology

2 X-ray Scaling Laws Temperature versus X-ray Luminosity
Note small range in T! Temperature versus X-ray Luminosity Mushotzky & Scharf ‘97

3 Compilation of Diego & Partridge ‘09

4 Strong correlation between x-ray gas temperature and galaxy velocity dispersion

5 p = rvirial/rcore X-ray Luminosity vs Size Diego & Partridge ‘09

6 Chemistry Cluster gas element abundances from x-ray spectra
(Mushotzky)

7 Evolution, or lack thereof,
of [Fe/H]

8 Cooling Flows Long except at cluster centers Gas cooling time
tcool = u/εff  8.5x1010 yr x ( )-1 ( ) ½ Long except at cluster centers where densities are high ne T 10-3cm K Fabian Perseus red= kev green = 1-2 kev blue = 2-7 kev

9 Typical cooling timescale for cluster centers < 109 yr
where does the material go? Mass deposition rate calculated as dM/dt = where L is bolometric L Problem is that there is little evidence except in a very few cases (e.g. Perseus) for recent star formation. Solutions? AGN Heating? Thermal Conduction? Thermal Mixing? Cosmic ray heating? Absorption? 2 L μm 5 k T

10 Clusters & Cosmology Ωmatter (Zwicky  ) from <M/L> and total luminosity density. Hubble Constant from Sunyaev-Zeldovich effect (more on that later) The Baryon Problem Tracing Dark Matter Cluster Abundances vs Redshift & Cosmological Parameters

11 2MASS Galaxy Groups δρ/ρ = 12 δρ/ρ = 80
δρ/ρ = δρ/ρ = 80 σP (km/s) RPV (Mpc) log MV/LK Log MP/LK ΩM,V / /-0.02 ΩM,P / /-0.02 V=Virial Estimator P = Projected Mass

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16 Gravitational Lensing
Mass reconstruction Distance Measurement Einstein radius θE = 28.8” ( )2 ( ) O L S v Dds 1000 km/s Ds Dds Ds

17 Lensing Mass Profile for A2218

18 Sunyaev-Zeldovich Effect
In 1970 Sunyaev & Zeldovich realized that the CMB spectrum would be affected by passage through a hot gas via Inverse Compton scattering.

19 Scattered through an atmosphere with Compton parameter
Exaggerated spectral distortion due to the SZ effect. Scattered through an atmosphere with Compton parameter y = 0.1 and τβ = 0.05 (Birkinshaw) CMB Distorted CMB

20 Narrower frequency range from Carlstrom (2002)

21 Scattering optical depth τe =  ne(r) T dl (dl along l.o.s.)
We calculate the Thermal SZ effect (SZ from thermalized electron distribution) from an electron gas with density distribution ne(r): Scattering optical depth τe =  ne(r) T dl (dl along l.o.s.) Comptonization parameter y =  ne(r) T dl X-ray spectral surface brightness along l.o.s. BX(E) =  (ne(r))2 Λ(E,Te) dl k Te(r) me c 2 1 4  (1+z)3 Where Λ is the spectral emissivity of the gas at energy E

22 and the x-ray angular diameter θ = L/dA
and again the Thomson cross-section is T = ( )2 In the Rayleigh-Jeans region, we generally have for the change in brightness = -2y For distance determinations, assume a round cluster with effective diameter L then  ne L T and the x-ray intensity IX  L ne2 and the x-ray angular diameter θ = L/dA 8  e2 me c2 Δ Iυ Δ Iυ

23 Which gives dA = ~  ( )2 where χ is the comoving distance and k is the curvature density 1 - Total R L ΔIυ θ θ Iυ IX

24 Kinematic SZ Effect Cluster motions also can affect the CMB viewed
through them. The size of the effect depends on the peculiar velocity of the cluster w.r.t. the expansion

25 SZ measurements of A2163 from Holzapfel (1997) with SuZie (SZ Infrared experiment on Mauna Kea)

26 SZ Maps from J. Carlstrom’s group
A2163 again SZ Maps from J. Carlstrom’s group (BIMA/OVRO; Carlstrom, Holder & Reese 2002)

27 SZ in WMAP data (stacked clusters)
W band V band Q band (90 GHz) (60 GHz) (40 GHz) Diego & Partridge (2009)

28 Planck (launched May 14, 2009) will do an all-sky SZ survey for galaxy clusters. Two instruments (LFI and HFI) will survey in nine frequency bands between 30 and 857 GHz

29 Cluster Baryon “Problem”
Lets compare the Baryonic cluster mass = Gas Mass + Galaxy Mass to the Dynamical Total Mass of the cluster. Mgas (<R) = 4 πo ro3  x2 (1+x2)-3/2 dx where X = R/ro, and MTot (<R) = ( ) where both are derived from x-ray data. c.f. White & Frenk 1991, White et al. 1993 X -kTR R d R dT Gmp  dr T dr

30 by some simple trick substitutions, and remembering the Beta model:
z = x2/(1 + x2) T(r) = To (r/ro)-  R/ d/dr = -3Zβ And MTot (<R) = (3Zβ + ) with  0 β  1 k T R G  mp

31 MGal,baryonic < Mgas or even << MGas
we also find that for the typical cluster MGal,baryonic < Mgas or even << MGas In the average cluster MGas ~ 0.1 h-1.5 MTotal Simulations (White & Frenk, etc.) suggest that at least on 1 Mpc scales, Gas = CDM distributions But we also have baryon (nucleosynthesis) ~ 0.02 h-2 ~ for h = 0.7  Total ~  1 (!) (in 1993 this was big, bad news for SCDM, but do go a long way towards solving the baryon problem)

32 The Bullet Cluster

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34 Cosmological Parameters from Cluster Mass Functions

35 Constraints from the evolution of the mass function.
Vikhlinin et al 2009

36 Combined constraints from clusters plus BAO, CMB & SN Ia
Chandra Cluster Cosmology project Vikhlinin et al. 2009

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