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How to use the Astrowall to view the 3D shape of Galaxy Clusters

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Combine the Sunyaev-Zel'dovich (SZ) effect data with X-ray surface brightness information ... or not, a more complicated picture will be needed to see any ... – PowerPoint PPT presentation

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Title: How to use the Astrowall to view the 3D shape of Galaxy Clusters


1
How to use the Astrowall to view the 3-D shape of
Galaxy Clusters
  • Measuring the Three-Dimensional Shape of Galaxy
    Clusters
  • I. Application to a Sample of 25 Clusters E. De
    Filippis et.al., (ApJ 625, 108-120 (May 20,
    2005))
  • II. Are Clusters Prolate or Oblate? Sereno
    et.al., (astroph/0602051, accepted to ApJ)
  • Presenter Paul Edmon
  • 2-9-06
  • Journal Club

2
Outline
  • Why 3-D and how do you get there?
  • SZ and X-Ray Surface Brightness
  • Shapes and Fitting
  • Results and Possible Problems

3
Why 3-D?
  • 3-D shapes can
  • Tell us about the relaxation of the system.
  • Tell us about the infall of material
  • Tell us if 2 objects are spatially correspondent
    to each other
  • Help us understand the density and luminosity
    profiles in an object
  • Help us probe cosmology in the case of Galaxy
    Clusters

4
2-D to 3-D
  • To model you need
  • An idea of the scale of the object
  • A guess to its morphology
  • An idea of its density and light profile
  • Trade off
  • Always lose information when going to 3-D because
    of the guess
  • Guess may be wrong or give an unphysical result
  • Degeneracy of solutions

5
Method
  • Combine the Sunyaev-Zeldovich (SZ) effect data
    with X-ray surface brightness information
  • Assume a cosmology
  • Simultaneously fit data using an assumed
    morphology, most commonly a triaxial ellipsoid,
    and an orientation for the 3-D shape

6
Sunyaev-Zeldovich (SZ) Effect
  • In the potential wells of clusters sit plasma
    with electron temperatures around 8-10 keV
  • The CMB passes through the cluster and Inverse
    Compton scatters off the plasma electrons
  • This causes a distortion in the CMB spectrum

7
Sunyaev-Zeldovich (SZ) Effect
  • The SZ effect has the form of a temperature
    decrement that looks like this
  • The factor f(?,Te) is the frequency shift and
    relativistic corrections

8
X-Ray Surface Brightness
  • The X-Ray emission in the Cluster is due to
    Bremsstrahlung
  • Therefore the surface brightness of the Cluster
    in the X-Ray will be
  • Where ?eH is the electron cooling function for
    the ICM in the cluster rest frame

9
Shapes
  • There are four shapes that are commonly used

Sphere
Oblate
Prolate
Courtesy of Mathworld http//mathworld.wolfram.com
/Ellipsoid.html
Triaxial
10
Fitting Parameters
  • Assume
  • Shape
  • Inclination
  • Temperature Profile
  • Cosmology
  • Data
  • X-Ray Brightness
  • SZ Data
  • Strong Lensing if you have it

11
Triaxial Fitting
  • Assumptions
  • Triaxial Ellipsoid with an axis along the LOS
  • Isothermal
  • Electron Density follows a ß-model where ne0 is
    the central density, and xi is the scaled
    distance along the i-axis
  • Cosmology
  • H070 km/sec/Mpc
  • OM.30
  • Flat Universe

12
Some Results of Triaxial Fitting
  • Graphs
  • qmax is the ratio of the semi-major axis to the
    semi minor axis
  • eproj is the projected ellipticity on the plane
    of the sky
  • P is the prolateness
  • Pgt0 Prolate
  • Plt0 Oblate
  • E is the ellipticity
  • EP Prolate
  • E-P Oblate
  • 25 clusters in all, the gray points are cooling
    flow clusters

13
Some Results of Triaxial Fitting
  • There are 10 Cooling Flow Clusters
  • They are indistinguishable from the other
    clusters
  • 18 out of the 25 clusters are likely to be
    prolate which is somewhat expected from some of
    the N-body simulations

14
Prolate and Oblate Fitting
  • Allow for other inclinations of clusters as
    opposed to assuming that an axis is along the LOS
  • Require the cluster to be either Oblate or
    Prolate instead of a general Triaxial Ellipsoid
  • Otherwise same method and same 25 clusters

15
Prolate vs. Oblate Results
  • i is orientation angle
  • qint is the same as qmax
  • Boxes Prolate
  • Triangles Oblate
  • Grey Ambiguous
  • Statistics
  • Prolate 15
  • Oblate 4
  • Ambiguous 6

16
Problems with Method
  • SZ data is average over entire cluster. Would
    like higher resolution SZ data for better
    fitting.
  • Seems to be bias towards having clusters aligned
    toward our LOS, this is probably due to selection
    effects for X-Ray cluster detection because as
    you have more material lined up along the line of
    sight you will have a brighter source

17
Problems with Method
  • Would like to relax condition for orientation for
    the case of the Triaxial, also relax the
    isothermal condition
  • Method is good for general morphology and for
    finding if the system is relaxed or not, a more
    complicated picture will be needed to see any
    deviations from ellipsoids

18
Good Points of Method
  • Uses only SZ and X-Ray Brightness data
  • Breaks away from a spherical cluster
  • Allows us to see the general morphology of a
    cluster
  • Can allow us to get a handle on the orientation
    of the cluster
  • If you have Strong Lensing you can provide
    constraints to Cosmological Parameters

19
Sources
  • Measuring the Three-Dimensional Shape of Galaxy
    Clusters
  • I. Application to a Sample of 25 Clusters E. De
    Filippis et.al., (ApJ 625, 108-120 (May 20,
    2005))
  • II. Are Clusters Prolate or Oblate? Sereno
    et.al., (astroph/0602051, accepted to ApJ)
  • Mathworld http//mathworld.wolfram.com/
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