MEASURING THE GROWTH OF GALAXY CLUSTERS Antonaldo Diaferio - - PowerPoint PPT Presentation

measuring the growth of galaxy clusters
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MEASURING THE GROWTH OF GALAXY CLUSTERS Antonaldo Diaferio - - PowerPoint PPT Presentation

MEASURING THE GROWTH OF GALAXY CLUSTERS Antonaldo Diaferio Universit degli Studi di Torino Dipartimento di Fisica Istituto Nazionale di Fisica Nucleare - Sezione di Torino www.dfg.unito.it/ricerca/caustic with Ana Laura Serra, Cristiano


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MEASURING THE GROWTH OF GALAXY CLUSTERS

Marseille, July 15th 2014

www.dfg.unito.it/ricerca/caustic

Antonaldo Diaferio

Università degli Studi di Torino – Dipartimento di Fisica Istituto Nazionale di Fisica Nucleare - Sezione di Torino

Frontiers of Fundamental Physics 2014 with Ana Laura Serra, Cristiano De Boni, and Heng Yu

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OUTLINE

The growth of structures on linear and non-linear scales Mass distribution within and around clusters Estimation of the mass in the outskirts of clusters and its connection to the mass accretion rate How well we can identify cluster substructures and surrounding groups and their connection with cluster formation Identification of cluster members and modified gravity

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f (z)=dln D dln a =Ω0

γ(z)

β= f (z) b

TESTING DARK ENERGY AND MODIFIED GRAVITY MODELS

with lensing and/or redshift surveys Measuring the growth factor with γ=0.55 in GR. Measurable quantity in redshift surveys: redshift distortion VIPERS (Guzzo et al. 2014)

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STRUCTURE GROWTH ON NON-LINEAR SCALE

The mass accretion history (MAH) in two interacting dark energy models

CoDECS simulations (Baldi 2012) De Boni et al. in prep.

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Different MAH's propagate into different mass functions

CoDECS simulations (Baldi 2012) De Boni et al. in prep.

STRUCTURE GROWTH ON NON-LINEAR SCALE

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Geller and Beers 1982 Richstone Loeb and Turner 1992

SUBSTRUCTURES IN GALAXY CLUSTERS

Mohr et al. 1995 DATA Ω=1 Ω=0.2 FLAT

X-ray

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SLIDE 7

Smith and Taylor 2008

SUBSTRUCTURES IN GALAXY CLUSTERS

Lensing based on Lacey and Cole 1993 Fraction of mass in substructures Accretion time Fraction of mass in substructures Simulations Data

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Regös & Geller 1989 Coma A1367 A539 A2670 projected radius redshift

MASS DISTRIBUTION IN THE OUTER REGION OF CLUSTERS

infall peculiar velocity:

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y x x vz r vz

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MASS ESTIMATE:

THE CAUSTIC TECHNIQUE

Example: CL0024

Sky Redshift diagram Caustics

Caustic amplitude = Escape velocity

Diaferio & Geller 1997

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MEASURING THE GRAVITATIONAL POTENTIAL PROFILE

Serra et al. 2011

68%

(unclean sample...!) 3000 synthetic clusters

( CDM model) Λ

Caustic potential/true potential

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MEASURING THE CUMULATIVE MASS PROFILE

Serra et al. 2011

68%

(unclean sample...!) 3000 synthetic clusters

( CDM model) Λ

Caustic mass/true mass

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Geller et al. 2013

CAUSTIC vs. LENSING MASS

Weak lensing: contribution from large-scale structures (Hoekstra 2003) Caustic method: systematic

  • verestimate at small r

(Serra et al. 2011) Caustic/Lensing mass Lensing mass uncertainty

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1 Mpc

THE TWO CLUSTERS MS0906 AND A750

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Caustics vs. Lensing Masses: the case of MS0906

Geller et al. 2013 + A750 Lensing mass of MS0906 Caustic mass of MS0906 Caustic mass of A750 (Hoekstra 2007)

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HeCS: The ultimate cluster mass

present time a=1 future a=100

R a d i a l v e l

  • c

i t y

Busha et al. 2005 Infalling matter

in CDM Λ Mfin = 1.9 M200

Radial distance

Mta = 1.99±0.11 M200 From HeCS Mta/M200 M200

Rines et al. 2013

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〈dM /dt 〉∝ M 1.127(1+1.17z) E( z)

Expected rate from the Millennium Sim. (McBride et al 2009)

Measured accretion rate vs Expected accretion rate @ z~0

N-body simulations Data: CIRS 72 clusters @ z~0

M e a s u r e d Expected Expected

Serra et al. in prep.

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〈dM /dt 〉∝ M 1.127(1+1.17z) E( z)

Measured accretion rate vs Expected accretion rate @ 0.1<z<0.3

Data: HeCS 58 clusters @ 0.1<z<0.3 Serra et al. in prep.

Expected rate from the Millennium Sim. (McBride et al 2009)

M e a s u r e d Expected

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ACCRETION WITH SURROUNDING GROUPS

7 clusters from the CLASH collaboration: Lemze et al. 2013

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ACCRETION WITH SURROUNDING GROUPS

Lemze et al. 2013

satellite mass/cluster mass f r a c t i

  • n
  • f

a c c r e t e d m a s s

2D overdensity 2D FoF simulations Satellite Identification:

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SUBSTRUCTURES AND SURROUNDING GROUPS WITH THE CAUSTIC TECHNIQUE

binary tree

setting the thresholds

simulated cluster

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SUBSTRUCTURES AND SURROUNDING GROUPS WITH THE CAUSTIC TECHNIQUE

recovery tests

Yu et al. in prep.

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SUBSTRUCTURES AND SURROUNDING GROUPS WITH THE CAUSTIC TECHNIQUE

sample redshift range around the cluster center

r e c

  • v

e r y r a t e

Yu et al. in prep.

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IDENTIFICATION OF CLUSTER MEMBERS WITH THE CAUSTIC TECHNIQUE

Serra & Diaferio 2013 Contamination Completeness

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CLUSTER VELOCITY DISPERSION PROFILE IN MODIFIED GRAVITY

A383 Geller et al. 2014 Lam et al. 2012 velocity dispersion f(R)/GR accurate measurement of velocity dispersion profiles

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THE EQUATION OF STATE OF DARK MATTER

By combining kinematic and lensing mass estimates (Faber & Visser 2006) Serra and Domínguez-Romero 2011 Sartoris et al. 2014

w=p/ρ

MACS1206.2-0847

w w

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SUMMING UP

With the caustic technique we can:

  • 1. Measure the mass in the cluster infall region
  • 2. Identify the cluster substructures and

surrounding groups

  • 3. Measure the cluster accretion rate
  • 4. Identify the cluster galaxy members

TEST FORMATION OF GALAXY CLUSTERS AND MODIFIED GRAVITY MODELS