Observational Cosmology Lecture 8 (K. Basu): Cosmology with Galaxy Clusters
Observational Cosmology (C. Porciani / K. Basu) Lecture 7 - - PowerPoint PPT Presentation
Observational Cosmology (C. Porciani / K. Basu) Lecture 7 - - PowerPoint PPT Presentation
Observational Cosmology (C. Porciani / K. Basu) Lecture 7 Cosmology with galaxy clusters (cluster astrophysics and cosmology) Course website: http://www.astro.uni-bonn.de/~kbasu/astro845.html Observational Cosmology Lecture 8 (K. Basu):
Observational Cosmology Lecture 8 (K. Basu): Cosmology with Galaxy Clusters
Outline of today’s lecture
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Modeling total cluster mass Halo mass function, scaling relations Optical observation: richness, red-sequence Joint SZ/X-ray modeling APEX-SZ & ALMA
Observational Cosmology Lecture 3 (K. Basu): CMB spectrum and anisotropies
Questions?
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Observational Cosmology Lecture 8 (K. Basu): Cosmology with Galaxy Clusters
Clusters in hydro-simulations
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z=4 z=2 z=0 Dark matter Baryons Stellar distribution
Observational Cosmology Lecture 8 (K. Basu): Cosmology with Galaxy Clusters
Mass probes
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X-ray strong lensing X-ray SZE weak lensing SZE weak lensing R2500 ~ 0.3 R200 ~ 0.5 Mpc R500 ~ 0.7 R200 ~ 1 Mpc R200 ~ 1.5 Mpc
Roncarelli, Ettori et al. 2006
Observational Cosmology Lecture 8 (K. Basu): Cosmology with Galaxy Clusters
Halo mass function
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Observable Theory Press-Schechter (1974) Jenkins et al. (2001) Cosmology predicts the variance on mass scale M:
Observational Cosmology Lecture 8 (K. Basu): Cosmology with Galaxy Clusters
Measuring cluster mass
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The condition of hydrostatic equilibrium determines the balance between pressure force and gravitational force: Using equation of state for ideal gas: For isothermal beta model:
Observational Cosmology Lecture 8 (K. Basu): Cosmology with Galaxy Clusters
HSE mass profile
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HSE mass bias Abell 2204 Abell 1689
Observational Cosmology Lecture 8 (K. Basu): Cosmology with Galaxy Clusters
Cluster virial radius
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Beware: r200 is not the same thing as virial radius! In a spherical collapse model, the behavior of a mass shell follows the equation: Under simplistic assumption (“top-hat model”, which means cluster is assumed to be of constant density), the mean density of perturbations that lead to collapse is 18π2 ≈ 178 for flat, EdS cosmology. For ΛCDM the solution is: Thus for z=0, the “virial radius” should be ~ r100 !
Observational Cosmology Lecture 8 (K. Basu): Cosmology with Galaxy Clusters
Scaling relations
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Prediction in terms of mass Detection via X-ray flux, SZ flux, optical richness dN / dz dM ➞ dN / dz dF
Prediction in terms of mass Detection via X-ray flux, SZ flux, optical richness dN / dz dM ➞ dN / dz dF
Observational Cosmology Lecture 8 (K. Basu): Cosmology with Galaxy Clusters
Scaling relations
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Observational Cosmology Lecture 8 (K. Basu): Cosmology with Galaxy Clusters
Self-similar scaling
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The simplest model to explain the physics of the ICM is based on the assumption that only gravity determines its properties. This makes clusters a scaled version of each other. For hydrostatic equilibrium:
Observational Cosmology Lecture 8 (K. Basu): Cosmology with Galaxy Clusters
M-T scaling relation
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Observational Cosmology Lecture 8 (K. Basu): Cosmology with Galaxy Clusters
M-L and L-T relations
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Observational Cosmology Lecture 8 (K. Basu): Cosmology with Galaxy Clusters
M-L and L-T relations
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238 clusters, z < 0.5 (XLF), including systematics
Observational Cosmology Lecture 8 (K. Basu): Cosmology with Galaxy Clusters
Results for cosmology
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Observational Cosmology Lecture 8 (K. Basu): Cosmology with Galaxy Clusters
Results for cosmology
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Observational Cosmology Lecture 8 (K. Basu): Cosmology with Galaxy Clusters
Future constraints
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Observational Cosmology Lecture 8 (K. Basu): Cosmology with Galaxy Clusters
Clusters in optical / near-IR
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Clusters in optical surveys are selected on the basis of richness, which depends on the number of galaxies observed within a certain projected radius from the cluster center. Yee & Ellingson 2003
Observational Cosmology Lecture 8 (K. Basu): Cosmology with Galaxy Clusters
Identifying cluster galaxies
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- Spectroscopic redshifts: Most galaxies do not have
spectra taken
- Photometric redshifts: Δz ~ 0.03, in clusters, require
Δz ~ 0.003 (vel. ~ 900 km/s)
- Red-sequence colors: Uncertainties ~ 0.03, ridgeline
width ~ 0.06 If the photo-z is obtained from colors, how can red-sequence color do better than photo-z?
Observational Cosmology Lecture 8 (K. Basu): Cosmology with Galaxy Clusters
Cluster red sequence (CRS)
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The CRS method is motivated by the fact that all rich clusters have a population of early type galaxies that follow a strict color-magnitude
- relation. The color of the red-sequence is dependent on the cluster
- redshift. This means that the color can be used to estimate the redshift of
the cluster. z = 1.62
Observational Cosmology Lecture 8 (K. Basu): Cosmology with Galaxy Clusters
Velocity dispersion
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Velocity dispersion is the optical analog of X-rat temperature. Observationally: σ2 = (1.0 ± 0.1) kB Tlum / μ mp But this gas-mass weighted temperature, Tlum, is typically ~20% higher than X-ray spectroscopic temperature (non-gravitational efgects? clumping?)
Observational Cosmology Lecture 8 (K. Basu): Cosmology with Galaxy Clusters
Measuring velocity dispersion
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Persistence of substructures (simulations by White, Cohn & Smit 2010) The velocity field traces the filamentary substructure
While the thermal gas emitting in X-rays is present in all clusters, the detection of extended radio emission only in ~10% of the systems indicates that the non-thermal plasma is not a common property of galaxy clusters. Non-thermal emissions over ~1 Mpc scales are present only in the most massive merging systems.
Observational Cosmology Lecture 8 (K. Basu): Cosmology with Galaxy Clusters
Radio observation of clusters
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327 MHz map of the mini-halo in the Perseus cluster (z = 0.018).
Observational Cosmology Lecture 8 (K. Basu): Cosmology with Galaxy Clusters
Clusters detected by APEX-SZ
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- 12-m on-axis ALMA prototype
- Located at the Chilean altiplano,
elevation 5100 m
- 1 arcmin reolution @ 150 GHz, 0.4 deg
FoV
- Surface accuracy 18 μm
Observational Cosmology Lecture 8 (K. Basu): Cosmology with Galaxy Clusters
APEX telescope
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- PI instrument on APEX, commissioned Spring 2007,
approx 600 hours of data
- Demonstrates new technologies for SZ experiments:
- TES bolometers
- Multiplexed readout electronics
- Pulse tube cooler (no cryogen loss)
- Can track sources in RA-Dec, powerful camera for
targeted cluster observation
Observational Cosmology Lecture 8 (K. Basu): Cosmology with Galaxy Clusters
APEX-SZ instrument
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Observational Cosmology Lecture 8 (K. Basu): Cosmology with Galaxy Clusters
Joint SZ/X-ray modeling
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Observational Cosmology Lecture 8 (K. Basu): Cosmology with Galaxy Clusters
Density and temperature profiles
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J0717.5+3745 at z = 0.548 Clearly disturbed, shock-like substructure,
- filament. What will SZ image look like?
Observational Cosmology Lecture 8 (K. Basu): Cosmology with Galaxy Clusters
Mergers, shocks and bubbles
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Perseus cluster Abell 2052
Observational Cosmology Lecture 8 (K. Basu): Cosmology with Galaxy Clusters
Future: SZ imaging with ALMA
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