Presentation is loading. Please wait.

Presentation is loading. Please wait.

Elinor Medezinski Johns Hopkins University Galaxy Galaxy Lensing in CLASH clusters.

Similar presentations


Presentation on theme: "Elinor Medezinski Johns Hopkins University Galaxy Galaxy Lensing in CLASH clusters."— Presentation transcript:

1 Elinor Medezinski Johns Hopkins University Galaxy Galaxy Lensing in CLASH clusters

2 Weak lensing  WL causes shear () and convergence ()  Observable: reduced shear g E. Medezinski - CLASH team meeting  g + - Tangential distortion relative to center of mass  Stacking background galaxies inside aperture around cluster galaxy gives mass of galaxy lens  Averaging over many cluster galaxies within cluster annulus averages out cluster contribution

3 Galaxy - Galaxy Lensing Dynamical methods work well within optical radius r < 20 kpc Galaxy-Galaxy lensing is a unique method to probe galaxy Dark Matter Halos out to large radii 100 h -1 kpc ~ 200 h -1 kpc Stacking background galaxies inside aperture around cluster galaxy gives mass of galaxy lens Averaging over many cluster galaxies within cluster annulus averages out cluster contribution One can then deduce: M/L ratios of galaxies Truncation of galaxies in different part of clusters E. Medezinski - CLASH team meeting

4 B - R vs. R - z ’ selected samples

5 Truncated Singular Isothermal Sphere ( TSIS ) density profile E. Medezinski - CLASH team meeting

6 Marginalize over parameter space to find best-fit  V,R t,, Exclude inner 20-30 kpc/h from fit E. Medezinski - CLASH team meeting MCMC analysis

7 E. Medezinski - CLASH team meeting MACSJ 1206 MCMC results 0.1Rvir<R<0.6Rvir 0.6Rvir<R<1.1Rvir 1.1Rvir<R<1.8Rvir 1.8Rvir<R<2.8Rvir

8 E. Medezinski - CLASH team meeting

9 Exclude inner cluster core where strong contribution from cluster lensing Halo truncated outside R>R vir E. Medezinski - CLASH team meeting Halo properties vs. Cluster radius – MACSJ 1206 Truncation radiusgalaxy type Mass LuminosityM/L

10 E. Medezinski - CLASH team meeting  Use specstroscopic redshifts to reliably select a subsample of cluster galaxies.  Two main clouds – red and blue cluster galaxies Spec - z selected samples

11 E. Medezinski - CLASH team meeting  Red galaxies clustered, blue galaxies not clustered – do they belong to the cluster? Number density profiles

12 E. Medezinski - CLASH team meeting Red cluster g - g MassLuminosity M/L Truncation radiusgalaxy type

13 E. Medezinski - CLASH team meeting Blue cluster ( ? ) g - g MassLuminosity M/L Truncation radiusgalaxy type

14 A 2261 Results – CC selected sample E. Medezinski - CLASH team meeting Truncation radiusgalaxy type Mass LuminosityM/L

15 E. Medezinski - CLASH team meeting A 2261  BVR from Subaru, i'z' from KPNO – shallow. galaxy type Red cl.Blue cl. Mass Luminosity M/L Truncation radiusgalaxy type Luminosity Truncation radius M/L Mass

16 E. Medezinski - CLASH team meeting A 383  Problems –  not as deep (old reduction of Mario)  l.o.s stuctures, cluster substructure  No spec-z's redshifts of cluster galaxies

17 A370ZwCl0024 E. Medezinski - CLASH team meeting Natarajan et al. 2009

18 E. Medezinski - CLASH team meeting Next steps  More clusters with more spectro-selected cluster galaxies  Use 2D multi-halo model to subtract cluster lensing contribution  Incorporate HST shapes in centeral bins  Try other galaxy mass models? NFW?  Stack several clusters for better statistics  Divide by stellar mass, local density, type etc. to get information on the galactic halo in different enviroments


Download ppt "Elinor Medezinski Johns Hopkins University Galaxy Galaxy Lensing in CLASH clusters."

Similar presentations


Ads by Google