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Redshift Space

Distortion Introduction

Yi ZHENG (郑逸)

Korea Institute of Advanced Study (KIAS)

Cosmology School in the Canary Islands - Fuerteventura, Sep.18-22, 2017

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Outline

What’s RSD? — Anisotropic properties on observed galaxy

clustering statistics in redshift space induced by peculiar velocity

Why RSD? — Degeneracy breaking between DE and MG

Why modeling RSD? — More cosmological information on non- linear scales, tighter cosmological constrains. Statistical or

systematic uncertainty dominated?

How to model RSD? — (1) real space non-linearity (2) non- linear mapping formula from real to redshift space (Taylor expansion) (3) galaxy density and velocity bias

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Outline

What’s RSD? — Anisotropic properties on observed galaxy

clustering statistics in redshift space induced by peculiar velocity

Why RSD? — Degeneracy breaking between DE and MG

Why modeling RSD? — More cosmological information on non- linear scales, tighter cosmological constrains. Statistical or

systematic uncertainty dominated?

How to model RSD? — (1) real space non-linearity (2) non- linear mapping formula from real to redshift space (Taylor expansion) (3) galaxy density and velocity bias

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What’s “distortion”

• In real space

• Cosmological principle: 1. Isotropy 2. homogeneity

Millennium simulation

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What’s “distortion”

• In redshift space: latitude, longitude, redshift

• Redshift = cosmological redshift + doppler redshift

Millennium simulation  

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6

Peculiar velocity: a window to the dark universe

• Matter distribution in our universe is inhomogeneous

• Gravitational attraction arising from inhomogeneity perturbs galaxies and causes deviation from the Hubble flow

v

r v

r

peculiar velocity

v=Hr v=Hr

PJZ’PPT

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10th Sino-Germany conference, Xi'an 2014

Redshift space distortion

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Observer

• Peculiar velocity changes the galaxy redshift and hence distorts the galaxy distribution in an anisotropic way

• Galaxy clustering along the line of sight is different to that perpendicular to the line of sight

PJZ’PPT

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A. J. S. Hamilton, astro-ph/9708102

SDSS DR9, CMASS, 2D correlation function

Reid et al. 1203.6641

Redshift space distortion:

Kaiser effect + Finger-of-god

=f/b

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Dark Energy? Modified Gravity?

Why RSD?

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Modified gravity Dark Energy 1. Background level:

2. Perturbation level:

Jain,Zhang 0709.2375

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For DESI

Huterer et al. 1309.5385

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Gil-Marin et al. 1509.06386

Redshift space distortion:

small scale modelling and systematic errors

5-10%

Torre & Guzzo, 1202.5559

Observationally:

DESI, Euclid et all:

O(1%)

Theoretically:

1. Nonlinear mapping 2. Nonlinear evolution 3. Bias modelling

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Redshift space distortion modelling

— power spectrum: in general three steps

1. Non-linear mapping of dark matter/halo/galaxy clustering from real space to redshift space

2.Non-linear evolution of density and velocity fields

——— Perturbation theory & High-resolution simulations

3. Galaxy/halo density and velocity bias modelling

McDonald&Roy, 0902.0991 F. Bernardeau et al, 2002

TNS,1006.0699

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Follow the derivation of TNS paper, Taruya et al. 1006.0699 From mass conservation:

The redshift space power spectrum:

Intrinsically nonlinear; Taylor

expansion and trunction

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Redshift space distortion:

starting point for PS

e.g. TNS 1006.0699 e.g. Scoccimarro astro-ph/0407214

Zhang 1207.2722

FoG

Cumulant expansion

Taylor expansion!

Seljak&McDonald 1109.1888

in terms of j_1

TNS 1006.0699 Zheng 1603.00101

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Definition:

Scale dependent part+scale

independent part

Important for

separation of FoG

The ‘extended’ TNS model

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1006.0699 & 1603.00101  

2-point

The ‘extended’ TNS model

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\sigma_v as free parameter, Gaussian FoG 1603.00101

Multipole test

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RSD correlation function modelling—mapping formula:

pairwise velocity PDF

1407.4753

The scale-dependent Gaussian streaming model (GSM), Reid&White,2011

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Gaussian quasi-Gaussianity (GQG)

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Red:GQG Green:GSM

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Future

Real space nonlinearity: SPT, RegPT, EFT, Response function, Emulator… PT+simulation

For correlation function — theoretical calculation of first three moments of PDF

Mapping formula: power spectrum — better Taylor expansion and truncation strategy

Bias modelling: density and velocity bias

Referencias

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