the mass - concentration relation from galaxy kinematics

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The Mass - Concentration Relation from Galaxy Kinematics A. Biviano, E. Medezinski, P. Rosati, I. Balestra, S. Jouvel, M. Nonino, A. Molino, A. Mercurio, K. Umetsu, M. Postman, H. Ford, D. Kelson, P. Melchior, M. Meneghetti, and the CLASH team Doron Lemze (Johns Hopkins University) 1 CLASH meeting 2013 - London

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The Mass - Concentration Relation from Galaxy Kinematics. Doron Lemze (Johns Hopkins University). - PowerPoint PPT Presentation

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Page 1: The Mass - Concentration Relation from Galaxy Kinematics

CLASH meeting 2013 - London 1

The Mass - Concentration Relation from Galaxy Kinematics

A. Biviano, E. Medezinski, P. Rosati, I. Balestra, S. Jouvel, M. Nonino, A. Molino, A. Mercurio, K.

Umetsu, M. Postman, H. Ford, D. Kelson, P. Melchior, M. Meneghetti, and the CLASH team

Doron Lemze (Johns Hopkins University)

Page 2: The Mass - Concentration Relation from Galaxy Kinematics

CLASH meeting 2013 - London 2

MotivationA primary science goal of CLASH is to measure the mass profiles in galaxy clusters.

Measuring the profile shapes using different techniques enables a better understanding of the systematics and offers an observational test of the different techniques.

Why use galaxy kinematics?

There is a drawback in this technique, and it is the assumption of dynamical equilibrium. However, it has also strong advantages. Unlike lensing, galaxy kinematics are not contaminated by line-of-sight structures unrelated to the cluster, and unlike X-ray observation, kinematics can reach beyond the virial radius. Another advantage of this technique vs. lensing is that galaxy kinematics can be applied at lower redshifts where lensing is less sensitive and estimations for single clusters are very challenging.

Page 3: The Mass - Concentration Relation from Galaxy Kinematics

CLASH meeting 2013 - London 3

The uniqueness of our spectroscopic sample

We will have the largest relaxed (X-ray selected) cluster sample with cluster members >~ 300 per cluster at 0.2<~ z <~0.6.

Not by chance, this redshift range is the ideal one for lensing. We’ll have accurate lensing estimations to compare with the ones derived by galaxy kinematics. This will give us an opportunity to estimate the real uncertainties of this technique.

Page 4: The Mass - Concentration Relation from Galaxy Kinematics

CLASH meeting 2013 - London 4

Jeans Analysis

)()(1)( 2

2

rrr

r

t

Jeans eq.

Velocity anisotropy

222 )()(

)()()(2)()(r

rnrGMrrn

rrrrn

drd gal

rgalrgal

R

galgal

Rr

rdrrnR

22

)(2)( Galaxy surface number density

Projected velocity dispersion

R

rgal

galp

Rr

rdrrRrrrn

R22

2

22

2))(1)(()(2)(

Page 5: The Mass - Concentration Relation from Galaxy Kinematics

5

Estimating and for the Jeans analysis

gal

p

Diaferio & Geller 1997Diaferio 1999

Page 6: The Mass - Concentration Relation from Galaxy Kinematics

6

Estimating and for the Jeans analysis – no VLT data

gal

pDiaferio & Geller 1997Diaferio 1999

Page 7: The Mass - Concentration Relation from Galaxy Kinematics

CLASH meeting 2013 - London 7

Cleaning Subaru galaxies with available photometric redshifts

Page 8: The Mass - Concentration Relation from Galaxy Kinematics

CLASH meeting 2013 - London 8

Galaxy surface number density

Page 9: The Mass - Concentration Relation from Galaxy Kinematics

CLASH meeting 2013 - London 9

Galaxy surface number density

Page 10: The Mass - Concentration Relation from Galaxy Kinematics

10

Fitting the data – A611 as an example

DataFit

DataFit

72.02 r

Page 11: The Mass - Concentration Relation from Galaxy Kinematics

11

C – M relation using galaxy kinematics vs. the theoretical expectation

ObservedExpected (Duffy et al. 2008)

MACSJ1206A383A209MACSJ1115MS2137A2261A611RXJ2129

Page 12: The Mass - Concentration Relation from Galaxy Kinematics

CLASH meeting 2013 - London 12

Summary:We estimated the C-M relation using galaxy kinematics for 8 clusters.

Future work:Adding kurtosis (the forth-order velocity moment ) information?

More clusters - for how many more in the next few months see Piero’s talk.

Different dependencies on the substructure level.

Comparing to estimations from lensing and other techniques.

Summary and future work