cosmology with large optical cluster surveys

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Cosmology with Large Optical Cluster Surveys Eduardo Rozo Einstein Fellow University of Chicago Rencontres de Moriond March 14, 2010.

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Cosmology with Large Optical Cluster Surveys. Eduardo Rozo Einstein Fellow University of Chicago. Rencontres de Moriond March 14, 2010. The Take Home Message. - PowerPoint PPT Presentation

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Page 1: Cosmology with Large Optical Cluster Surveys

Cosmology with Large Optical Cluster Surveys

Eduardo RozoEinstein Fellow

University of Chicago

Rencontres de MoriondMarch 14, 2010.

Page 2: Cosmology with Large Optical Cluster Surveys

The Take Home Message• Galaxy clusters probe the physics behind our accelerating universe in a way that is fundamentally different from geometrical probes (e.g. BAO or SN).

• Optical clusters already provide cosmological parameters constraints of comparable accuracy to those from other methods, and in particular X-rays.

• Different methods for studying clusters are highly complementary to each other, and can also break degeneracies inherent to other LSS probes.

• Realizing the statistical power of upcoming experiments is difficult: detailed simulations of upcoming experiments are necessary to test our understanding of systematics.

Page 3: Cosmology with Large Optical Cluster Surveys

Two Questions

• Why clusters?

• Why optical?

Page 4: Cosmology with Large Optical Cluster Surveys

Why Clusters?The universe is accelerating. Two possible culprits:• dark energy exists• GR breaks down at large scales.But- how to distinguish between the two?

GR is a highly predictive theory:Once the geometry of the universe is measured (e.g. from BAO+SN), GR+CMB predict the growth of LSS.

(See Mortonson’s talk on Tuesday).Cluster test gravity on cosmological scales in a way

that is fundamentally different from geometrical probes.

Page 5: Cosmology with Large Optical Cluster Surveys

0 1 2 3 z

0.05

0.00

-0.05

ΔG/G

GR Predictions for Growth Relative to CMB from Current

Data

Mortonson, Hu, and Huterer 2009

Our job is to put data points on this plot.

Page 6: Cosmology with Large Optical Cluster Surveys

Why Optical?• Galaxy clusters are easy to find with optical data.

Page 7: Cosmology with Large Optical Cluster Surveys
Page 8: Cosmology with Large Optical Cluster Surveys

Why Optical?• Galaxy clusters are easy to find with optical data.

• There is lots of data available, and even more to come.

Page 9: Cosmology with Large Optical Cluster Surveys

Dark Energy Survey

Page 10: Cosmology with Large Optical Cluster Surveys

Why Optical?• Galaxy clusters are easy to find with optical data.

• There is lots of data available, and even more to come:

Optical cluster samples already contain of order a few tens of thousands of clusters.

Future surveys will produce many tens of thousands of clusters.

Incredible raw statistical power.

Page 11: Cosmology with Large Optical Cluster Surveys

w0

w a

Dark Energy Survey Forecasts

Page 12: Cosmology with Large Optical Cluster Surveys

Cosmology with Galaxy Clusters

Cluster Counting

Page 13: Cosmology with Large Optical Cluster Surveys

Cosmology with Galaxy Clusters: What do Clusters

Measure?No. of halos in a survey = (halo density)x(survey

volume)

It is the cosmological dependence of the halo density that makes galaxy clusters special.

GeometrySensitive to Growth

Page 14: Cosmology with Large Optical Cluster Surveys

Cosmology with Galaxy Clusters: What do Clusters

Measure?Halo (cluster) density depends principally on two things:• The power spectrum amplitude s8(z).• The matter density Wm.

To measure s8(z), we need to know three things:1. How many clusters are there?2. What are their redshifts?

3. What are their masses?

dndM

= stuff ×Ωm

M ⎛ ⎝ ⎜

⎞ ⎠ ⎟× exp −

stuff (M /Ωm )σ 8

2(z)

⎡ ⎣ ⎢

⎤ ⎦ ⎥

Page 15: Cosmology with Large Optical Cluster Surveys

dndM

= stuff ×Ωm

M ⎛ ⎝ ⎜

⎞ ⎠ ⎟× exp −

stuff (M /Ωm )σ 8

2(z)

⎡ ⎣ ⎢

⎤ ⎦ ⎥

Suppose you measure abundance at one mass (i.e. the amplitude of the halo mass

function).You constrain a combination of s8(z) and

Wm:s8Wm

0.4 = constantBut halo mass M and Wm are degenerate!

The Single Biggest Problem for All Cluster Cosmology

Errors in M translate directly translate into errors in Wm, which result in errors in s8.

Page 16: Cosmology with Large Optical Cluster Surveys

The Mass Function from the maxBCG Cluster Catalog

Page 17: Cosmology with Large Optical Cluster Surveys

dndM

= stuff ×Ωm

M ⎛ ⎝ ⎜

⎞ ⎠ ⎟× exp −

stuff (M /Ωm )σ 8

2(z)

⎡ ⎣ ⎢

⎤ ⎦ ⎥

Suppose you measure abundance at one mass (i.e. the amplitude of the halo mass

function).You constrain a combination of s8(z) and

Wm:s8Wm

0.4 = constantBut halo mass M and Wm are degenerate!

The Single Biggest Problem for All Cluster Cosmology

Errors in M translate directly translate into errors in Wm, which result in errors in s8.

Page 18: Cosmology with Large Optical Cluster Surveys

Cosmology With Optical Surveys

- The Three Questions -To measure A(z), we need to know three things:

1. How many clusters are there?i.e. How do we find clusters?

EASY2. What are their redshifts?

EASY3. What are their masses?

HARD

Page 19: Cosmology with Large Optical Cluster Surveys

Optical Clusters: How do We Find them?

Finding Clusters is easy.

Page 20: Cosmology with Large Optical Cluster Surveys
Page 21: Cosmology with Large Optical Cluster Surveys

Finding ClustersLook for tight groups of uniformly red galaxies.

Use of red-sequence nearly eliminates projection effects.

Page 22: Cosmology with Large Optical Cluster Surveys

Optical Clusters: What are Their Redshifts?

The location of the red-sequence allows for robust redshift estimates.

Page 23: Cosmology with Large Optical Cluster Surveys

Ben Koester, RCS2 data.

Page 24: Cosmology with Large Optical Cluster Surveys

Optical Clusters: What are Their Masses?

Optical clusters don’t come tagged with mass.They come tagged with richness: a measure of the galaxy content of the clusters.

To do cosmology we must know the statistical relation between a cluster’s mass and its richness (mass

calibration).Many possibilities:• Weak lensing• X-rays (e.g. temperature, brightness, YX, Mgas) • Galaxy velocity dispersion• SZ decrement• Cluster clustering

Page 25: Cosmology with Large Optical Cluster Surveys

So Does it All Work?

Page 26: Cosmology with Large Optical Cluster Surveys

State of the Art: the SDSS maxBCG Cluster Catalog

maxBCG at a glance: (Koester et al. 2007)

• Red-sequence cluster finder.• ~8,000 deg2 SDSS imaging• ~13,000 clusters• Redshift range 0.1<z<0.3.• Photometric redshift accuracy ≈ 0.01.

Three independent approaches to mass calibration:• weak lensing (Sheldon et al. 2009)• X-ray luminosities (ROSAT) (Rykoff et al. 2008)• velocity dispersions (Becker et al. 2007)

All three of these approaches rely on cluster stacking.

Page 27: Cosmology with Large Optical Cluster Surveys

Cosmological Constraints

8(M/0.25)0.41 = 0.832 0.033

Joint constraints: 8 = 0.8070.020 M = 0.2650.016

Rozo et al. 2010

Page 28: Cosmology with Large Optical Cluster Surveys

0 1 2 3 z

0.05

0.00

-0.05

ΔG/G

GR Predictions for Growth from Current Data

Mortonson, Hu, and Huterer 2009

Current constraints

Page 29: Cosmology with Large Optical Cluster Surveys

Prospects for Further Improvement• Improve the fidelity of cluster richness as a

mass estimator.

Page 30: Cosmology with Large Optical Cluster Surveys

Improving Richness Estimates

Richness

Clus

ter M

ass

Scatter ≈ 15%

Preliminary!

Detailed analysis using a cleanly selected sample is ongoing.

RXJ1504

Page 31: Cosmology with Large Optical Cluster Surveys

Prospects for Further Improvement• Improve the fidelity of cluster richness as a

mass estimator.

Page 32: Cosmology with Large Optical Cluster Surveys

Prospects for Further Improvement

• Improve the fidelity of cluster richness as a mass estimator.• Improved mass calibration.• requires X-ray follow up of optically selected

clusters over a broad richness range.• data useful for future optical cluster surveys

as well.

Page 33: Cosmology with Large Optical Cluster Surveys

Relation to X-rays and SZ Clusters

Page 34: Cosmology with Large Optical Cluster Surveys

Optical vs. X-ray: How Do Optical Clusters Measure Up?

maxBCG

Page 35: Cosmology with Large Optical Cluster Surveys

Optical vs. X-ray: How Do Optical Clusters Measure Up?

maxBCG

This agreement is a testament to the robustness of galaxy clusters as cosmological probes, and

demonstrates that cluster abundance systematics are well understood.

Page 36: Cosmology with Large Optical Cluster Surveys

Different Methods are Highly Complementary

Optical: • Very low mass threshold• Least precise mass estimates

X-rays:• Molderate/high mass threshold• Harder to reach high z (though see A. Finoguenov’s

talk)• Most precise mass estimates

SZ (see Joe Mohr’s talk Wednesday):• Detection efficiency is nearly redshift

independent.• Optical redshifts required• Moderate/high mass threshold• Precise mass estimates

Page 37: Cosmology with Large Optical Cluster Surveys

Optical + X-ray

X-ray Follow-up of small optical sub-samples can significantly improve the utility of optical surveys.

Wu, Rozo, and Wechsler 2010.

Page 38: Cosmology with Large Optical Cluster Surveys

Optical + SZ

Cunha 2009

DES

SPT

DES+SPT

Page 39: Cosmology with Large Optical Cluster Surveys

But wait! Order now, and you will also receive…

Page 40: Cosmology with Large Optical Cluster Surveys

Cluster Clustering is a Sensitive Probe of Non-Gaussianity

Plot from Cunha et al. 2010, but see also Sartoris’s talk next.

Page 41: Cosmology with Large Optical Cluster Surveys

Clusters and Galaxy Correlation Functions

r 1 10

xgg displays strong degeneracies between cosmology and HOD.

Page 42: Cosmology with Large Optical Cluster Surveys

Clusters and Galaxy Correlation Functions

r 1 10

Galaxy clusters provide an independent probe of the galaxy content of dark matter halos, breaking the

cosmology-HOD degeneracy.

xgg displays strong degeneracies between cosmology and HOD.

Page 43: Cosmology with Large Optical Cluster Surveys

Clusters and Galaxy Correlation Functions

Tinker et al., in preparation.

Page 44: Cosmology with Large Optical Cluster Surveys

Parting Thought/Advertisement

This all sounds great, but…

Page 45: Cosmology with Large Optical Cluster Surveys

Realizing the Statistical Power of Optical Cluster Samples is Hard

• Accurate photo-z’s.• Low-scatter and well understood mass estimators.• Well understood centroiding properties.• Well understood purity and completeness.• Precise mass estimation.• …

Requires:

How can we be sure all systematic uncertainties are understood to the accuracy required by the

data?

Page 46: Cosmology with Large Optical Cluster Surveys

Testing Cluster Cosmology in DES

- The Blind Cosmology Challenge -

Perform a top-to-bottom analysis of simulated data to test robustness of cosmological

constraints.1. Run N-body simulations to produce 5,000 deg2

lightcone.2. Populate light cone with galaxies. Include:• 5 band magnitudes.• Galaxy sizes and shapes (required for lensing)

3. Lens all galaxies by ray tracing through full lightcone.

4. Run cluster finders to produce cluster catalogs.5. Analyze mock catalogs as you would the real data.The goal:

recover cosmology used to construct the mock catalogs!

Page 47: Cosmology with Large Optical Cluster Surveys

Meeting the Challenge in the DES

- The Blind Cosmology Challenge -Goals:

• Test precision and biases of cosmological parameter estimation pipelines.• Identify principal sources of systematic

uncertainty so that they may be addressed.• Be 100% ready to run analysis on real data

as soon as data taking commences (Fall 2011).

Page 48: Cosmology with Large Optical Cluster Surveys

The Take Home Message• Galaxy clusters probe the physics behind our accelerating universe in a way that is fundamentally different from geometrical probes (e.g. BAO or SN).

• Optical clusters already provide cosmological parameters constraints of comparable accuracy to those from other methods, and in particular X-rays.

• Different methods for studying clusters are highly complementary to each other, and can also break degeneracies inherent to other LSS probes.

• Realizing the statistical power of upcoming experiments is difficult: detailed simulations of upcoming experiments are necessary to test our understanding of systematics.

Page 49: Cosmology with Large Optical Cluster Surveys

The Power of Numbers

RichnessL X

Stack RASS fields along cluster centers to measure the mean X-ray luminosity as a function of richness.

Page 50: Cosmology with Large Optical Cluster Surveys

Sample Selection

Page 51: Cosmology with Large Optical Cluster Surveys

RXJ 1504