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The non-linear evolution of CMB: non-Gaussianity and spectral - - PowerPoint PPT Presentation

The non-linear evolution of CMB: non-Gaussianity and spectral distortions Cyril Pitrou Institute of Cosmology and Gravitation, Portsmouth 18 Novembre 2010 Outline Motivations for non-Gaussianity search 1 Theory of perturbations 2 Spectral


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SLIDE 1

The non-linear evolution of CMB: non-Gaussianity and spectral distortions

Cyril Pitrou

Institute of Cosmology and Gravitation, Portsmouth

18 Novembre 2010

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SLIDE 2

Outline

1

Motivations for non-Gaussianity search

2

Theory of perturbations

3

Spectral distortions

4

The flat-sky approximation

5

Numerical resolution and analytic insight

Cyril Pitrou (ICG, Portsmouth) 18 Novembre 2010 2 / 50

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SLIDE 3

Motivations for non-Gaussianity

1

Motivations for non-Gaussianity search

2

Theory of perturbations

3

Spectral distortions

4

The flat-sky approximation

5

Numerical resolution and analytic insight

Cyril Pitrou (ICG, Portsmouth) 18 Novembre 2010 3 / 50

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SLIDE 4

Motivations for non-Gaussianity

From initial conditions to observations

1.0 0.5 0.0 0.5 1.0 1.5 104 0.001 0.01 0.1 1 Logk

k3Pk of the potential

1.0 0.5 0.0 0.5 1.0 1.5 10 20 30 40 Logk

k3 Pk of radiation density

Cyril Pitrou (ICG, Portsmouth) 18 Novembre 2010 4 / 50

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SLIDE 5

Motivations for non-Gaussianity

Harmonic analysis Analysis in the space of Y ℓm aℓmaℓ′m′ = δℓℓ′δmm′Cℓ

Cyril Pitrou (ICG, Portsmouth) 18 Novembre 2010 5 / 50

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SLIDE 6

Motivations for non-Gaussianity

Standard lore of perturbation theory Initial conditions: quantization of the free theory implies Gaussian initial conditions: P(k) Φ(k)Φ(k′) = δ(k + k′)P(k) Evolution: linearisation of GR. Transfer scheme of perturbations Linear equations, modes k are independent, = ⇒ Gaussianity conserved. P(k) → Θ(k, η) → aℓm → Cℓ

1.0 0.5 0.0 0.5 1.0 1.5 10 20 30 40 Logk

k3Pk of the potential

1.0 0.5 0.0 0.5 1.0 1.5 10 20 30 40 Logk

k3 Pk of radiation density

Cyril Pitrou (ICG, Portsmouth) 18 Novembre 2010 6 / 50

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SLIDE 7

Motivations for non-Gaussianity

1

Motivations for non-Gaussianity search

2

Theory of perturbations

3

Spectral distortions

4

The flat-sky approximation

5

Numerical resolution and analytic insight

Cyril Pitrou (ICG, Portsmouth) 18 Novembre 2010 7 / 50

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SLIDE 8

Motivations for non-Gaussianity

non-Gaussianity (NG) Initial conditions non-Gaussian? We want to test the models of inflation with other moments of the statistics. Non-linear dynamics is intrinsic to GR, Statistics of the primordial gravitational potential Φ = Φ(1) + 1

2Φ(2)

Gaussian part Φ(1) and non-Gaussian part Φ(2): Φ(k)Φ(k′) = δ(k + k′)P(k) Φ(k1)Φ(k2)Φ(k3) = δ(k1 + k2 + k3)fNLF(k1, k2, k3) F(. . . ) = type of non-Gaussianity fNL = its amplitude.

Cyril Pitrou (ICG, Portsmouth) 18 Novembre 2010 8 / 50

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SLIDE 9

Motivations for non-Gaussianity

The transfer to temperature fluctuations Θℓm In general Θ ≡ T (Φ) Order 1 Θ(1)

ℓm ≡ T ℓm L

(Φ(1)) Order 2 Θ(2)ℓm ≡ T ℓm

L

(Φ(2)) + T ℓm

NL (Φ(1)Φ(1))

In Fourier space Θ(1)

ℓm(k) = T ℓm L

(k)Φ(1)

k

Θ(2)

ℓm(k) = T ℓm L

(k)Φ(2)

k

+

  • d3k1d3k2δ3(k − k1 − k2)T ℓm

NL (k1, k2, k)Φ(1) k1 Φ(1) k2

fNL ou TNL ? Θℓ1m1Θℓ2m2Θℓ3m3 = 0 because of Θ(1)Θ(1)Θ(2).

Cyril Pitrou (ICG, Portsmouth) 18 Novembre 2010 9 / 50

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SLIDE 10

Theory of perturbations

1

Motivations for non-Gaussianity search

2

Theory of perturbations

3

Spectral distortions

4

The flat-sky approximation

5

Numerical resolution and analytic insight

Cyril Pitrou (ICG, Portsmouth) 18 Novembre 2010 10 / 50

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SLIDE 11

Theory of perturbations

Description of perturbations

General idea We need to give a precise meaning to δT(P) = T(P) − ¯ T(P) T(P) ¨lives¨ in a perturbed space-time ¯ T(P) ¨lives¨ in a background space-time, homogeneous and isotropic Example: metric perturbations ds2 = a(η)2 − dη2 + δIJdxIdxJ , ds2 = a(η)2 − e2Φdη2 + 2BIdxIdη + [e−2ΨδIJ + 2HIJ]dxIdxJ ,

Cyril Pitrou (ICG, Portsmouth) 18 Novembre 2010 11 / 50

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SLIDE 12

Theory of perturbations

Correspondence between space-times

embedded into 4 + 1 dimensions

Cyril Pitrou (ICG, Portsmouth) 18 Novembre 2010 12 / 50

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SLIDE 13

Theory of perturbations

Characteristics of perturbations theory:

Get rid of the gauge dependence Gauge-invariant variables A tensor equation is always expressed with such variables Structure of equations in orders of perturbations E[δ(1)g, δ(1)T] = 0 E[δ(2)g, δ(2)T] = S[δ(1)g, δ(1)T] = ⇒ Iterative resolution with gauge-invariant variables

Cyril Pitrou (ICG, Portsmouth) 18 Novembre 2010 13 / 50

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SLIDE 14

Theory of perturbations

Describing the matter content

The fluid approximation T µν = (P + ρ)uµuν + Pgµν + Πµν Conservation Eq. ∇µT µ0 = 0 = ⇒ ρ′ + · · · = 0 Euler Eq. ∇µT µi = 0 = ⇒ u′i + · · · + ∂jΠji = 0 Problems Equation of state P = wρ? Expression and evolution of the anisotropic stress tensor? Multifluid: ∇µT µν = F ν = 0. Expression of forces ?

Cyril Pitrou (ICG, Portsmouth) 18 Novembre 2010 14 / 50

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SLIDE 15

Theory of perturbations

Statistical description

Distribution function f(x, pa) Tetrad in order to define locally a free-fall frame ea.eb ≡ e µ

a e ν b gµν = ηab

ea.eb ≡ ea

µeb νgµν = ηab

Momentum p Decomposed in energy and direction p = E(eo + n) Link to the fluid description T ab(x) ≡

  • δ1

D(p.p)f(x, pc)papb dpod3pi

(2π)3

Cyril Pitrou (ICG, Portsmouth) 18 Novembre 2010 15 / 50

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SLIDE 16

Theory of perturbations

Evolution of the distribution function

Boltzmann equation L[f] = C[f] Liouville operator: Free-fall L[f] = df ds = pc∇cf(x, pa) + ∂f(x, pa) ∂pc dpc ds Geodesic equation pb∇bpa = dpa ds + ωbacpcpb = 0 Collision operator: Compton scattering on free electrons.

Cyril Pitrou (ICG, Portsmouth) 18 Novembre 2010 16 / 50

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SLIDE 17

Theory of perturbations

Why do we also need to describe polarization?

Because if radiation has a quadrupole, Compton scattering generates polarisation.

Cyril Pitrou (ICG, Portsmouth) 18 Novembre 2010 17 / 50

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SLIDE 18

Theory of perturbations

Description of polarisation by the Stokes parameters

Tensorial distribution function If ni = (0, 0, 1): fab = 1 2     I + Q U + iV U − iV I − Q     Covariant expression fµν(x, pa) ≡ 1 2I(x, pa)Sµν + Pµν(x, pa) + i 2V(x, pa)eρ

  • ǫρµνσnσ

Cyril Pitrou (ICG, Portsmouth) 18 Novembre 2010 18 / 50

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SLIDE 19

Theory of perturbations

Covariant description of polarized radiation

Tensor valued distribution function A photon is characterized by pµ and εµ (pµεµ = 0) Fµν(x, pa) ≡ 1

2f(x, pa)εµεν

Screen projection Screen projector Sµν = gµν + eo

µeo ν − nµnν

µεν is independent of the electromagnetic gauge choice for the

polarization. We thus work with fµν(x, pa) = Sρ

µSσ ν Fρσ(x, pa)

Cyril Pitrou (ICG, Portsmouth) 18 Novembre 2010 19 / 50

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SLIDE 20

Theory of perturbations

Boltzmann equation with polarization

L[fab(x, ph)] = Cab

  • x, ph

L[fab(x, pa)] = 1 2L[I(x, pd)]Sab+L[Pab(x, pa)]+ i 2L[V(x, pd)]ncǫocab Cab

  • ph

= neσTpo 3 2 d2Ω′ 4π S c

a S d b fcd

  • p′h

− fab

  • ph

We recover the case with no polarization fab = 1 2ISab

  • r

I = Sabfab SabCab ∝ S′

abSab = 1 + (n.n′)2 = 1 + cos2 θ

Cyril Pitrou (ICG, Portsmouth) 18 Novembre 2010 20 / 50

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SLIDE 21

Theory of perturbations

Multipolar expansion

Multipoles for scalar functions (I and V) I(x, po, na) =

  • ℓ=0

Iaℓ(x, po)naℓ Iaℓ(x, po) = ∆−1

  • I(x, po, na)naℓd2Ω

And for polarisation, E and B modes... Pab(x, pa) =

  • ℓ=2
  • Eabcℓ−2(x, po)ncℓ−2 − ncǫcd

(aBb)dcℓ−2(x, po)ncℓ−2TT

Eaℓ(x, po) = M2

ℓ ∆−1 ℓ

  • naℓ−2Paℓ−1aℓ(x, po, na)d2Ω ,

Baℓ(x, po) = M2

ℓ ∆−1 ℓ

  • nbǫbd

aℓnaℓ−2Paℓ−1d(x, po, na)d2Ω ,

Cyril Pitrou (ICG, Portsmouth) 18 Novembre 2010 21 / 50

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SLIDE 22

Theory of perturbations

Steps to follow

1

Perturb the metric gµν = ¯ gµν + g(1)

µν + 1 2g(2) µν

2

Perturb the tetrad eµ

a = ¯

a + e(1)µ a

+ 1

2e(2)µ a

3

Perturb the connections ωabc = ¯ ωabc + ω(1)

abc + 1 2ω(2) abc

4

Find the perturbed geodesic equations

5

Compute the perturbed Liouville operator

6

Compute the Thomson scattering for each electron

7

Sum over the electrons distribution to obtain the Collision tensor in full generalities

8

Expand it in perturbations

9

Take the multipoles Iaℓ Eaℓ and Baℓ of the Boltzmann equation

10 Solve it or integrate it numerically Cyril Pitrou (ICG, Portsmouth) 18 Novembre 2010 22 / 50

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SLIDE 23

Theory of perturbations

Evolution of brightness I = T 4 along geodesics d

  • e−¯

τIE−4

dη = ¯ g(η)E−4 eΦC[I] + ¯ τ ′I

  • d

dη = ∂ ∂η + dxI dη ∂ ∂xI + dni dη ∂ ∂ni , d ln E dη ≃ −dΦ dη + Φ′ + Ψ′ Classification of effects: 1) dE/dη: Evolution of the energy of photons: Einstein effect (potential Φ) and integrated effects 2) ¯ g(η) . . . Collisions on the last scattering surface (LSS): Intrinsic temperature, and Doppler effect. 3) Lensing effect δ

  • dni

  • Order 2

4) Shapiro (or potential) time-delay δ

  • dxI

  • Order 2

Cyril Pitrou (ICG, Portsmouth) 18 Novembre 2010 23 / 50

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Theory of perturbations

Geometry of the background space-time

Cyril Pitrou (ICG, Portsmouth) 18 Novembre 2010 24 / 50

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Theory of perturbations

Integrated effects efficient since recombination

2 1 1 2 3 0.0 0.2 0.4 0.6 0.8 1.0 Ere de radiation Logaaeq Ere de matière

In the width of the LSS Intrinsic Θ, Φ, Doppler

2 1 1 2 3 0.0 0.5 1.0 1.5 2.0 2.5 Ere de radiation Logaaeq Ere de matière

gΤ'eΤ

Cyril Pitrou (ICG, Portsmouth) 18 Novembre 2010 25 / 50

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SLIDE 26

Theory of perturbations

But this is not enough to describe non-linear effects

Collisions distort the spectrum In the collision term distorting effects can be classified as Thermal SZ effect (Kompanets collision term) → removes distortions of the y-type Kinetic SZ effect → creates distortions of the y-type Important for reionization.

Cyril Pitrou (ICG, Portsmouth) 18 Novembre 2010 26 / 50

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SLIDE 27

Spectral distortions

Origin of distortions

Expansion in vb to transform to the “lab” frame O(vb): Doppler shift Can be described as a perturbed temperature O(v2

b): Non-linear collisions: Spectral distortions.

Cyril Pitrou (ICG, Portsmouth) 18 Novembre 2010 27 / 50

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Spectral distortions

O(vb), of the form ∂f ∂E Evb Handled by defining f(E) ≡ g(T, E) ≃ g(¯ T, E) − ∂g ∂E E δT ¯ T with g(T, .) the BB spectrum of temperature T. O(v2

b)

Averaged over the distribution of electrons vivj = v2δij + Te me δij ¯ Te is responsible for background Comptonization: Kompaneets term δTe Spectral distortions from hot regions: Thermal SZ v2

b Spectral distortions from fast moving regions: Kinetic SZ

Cyril Pitrou (ICG, Portsmouth) 18 Novembre 2010 28 / 50

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SLIDE 29

Spectral distortions

Describing the distortion

Parameterization (astro-ph/0703541) f(E) = g(T, E) + yE−2∂E

  • E4∂Eg(T, E)
  • T temperature. Takes the gravitational and O(vb) effects into

account y takes the O(v2

b) effects into account.

Ambiguity of the temperature We can define two types of temperatures Occupational TN from N ∝ T 3

N ∝

  • E2f(E)dE

Energy density Tρ from ρ ∝ T 4

ρ ∝

  • E3f(E)dE

It is obvious that our temperature is TN. CMB literature always refers to Tρ = TN + y, more or less (ex?)implicitely. Good ”orthogonal" parameters are y and Θ ≡ δT/¯ T

Cyril Pitrou (ICG, Portsmouth) 18 Novembre 2010 29 / 50

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SLIDE 30

Spectral distortions

STF Mutlipoles of y y(n) = ∞

ℓ=0 yiℓniℓ

Idem for the temperature fluctuations Θ Evolution The second order Boltzmann equation contains evolution for y and Θ(2) dy dη = τ ′

  • −˜

y + ˜ y∅ + 1 10 ˜ yijninj + (Θ − vini)(Θ − Θ∅) − 1 10ΘijninjΘ − 3 10Θivi − 1 10Θivjninj +1 3vivi + 11 20vivjninj + . . .

  • (1)

Cyril Pitrou (ICG, Portsmouth) 18 Novembre 2010 30 / 50

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SLIDE 31

Spectral distortions

Hierarchy ∂yiℓ ∂η + ℓ + 1 (2ℓ + 3)∂Jyjiℓ + ∂Iℓyiℓ−1 = τ ′(−yiℓ + Ciℓ) (2) y collisions C∅ = y∅ + 1

3vivi

Cij =

1 10yij + 11 20vivj

Cyril Pitrou (ICG, Portsmouth) 18 Novembre 2010 31 / 50

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SLIDE 32

Spectral distortions

Geometry of the problem

Cyril Pitrou (ICG, Portsmouth) 18 Novembre 2010 32 / 50

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SLIDE 33

Spectral distortions

Two contributions: LSS and Reionization

1 10 100 1000 5 10 15 20

vb red and vc green and visibility function black

Cyril Pitrou (ICG, Portsmouth) 18 Novembre 2010 33 / 50

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SLIDE 34

Spectral distortions

Line of sight solution Flat-Sky approximation. Good enough since there is no spectral distortions on large scales. Refined to a Limber approximation to deal with reionization. Orders of magnitude The contribution from reionization is expected to dominate: vb ∝ (η − ηLSS)2 This perturbative approach corresponds to the non-linear Kinetic SZ effect in the intergalactic medium at high redshift (z ≤ 11).

Cyril Pitrou (ICG, Portsmouth) 18 Novembre 2010 34 / 50

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SLIDE 35

Spectral distortions

Spectrum of the distortions Cyy

We use the thin shell for the LSS We use Limber for the Reionization era

Cyril Pitrou (ICG, Portsmouth) 18 Novembre 2010 35 / 50

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SLIDE 36

The flat-sky approximation

The line of sight solution

General form y(k, n) =

  • dreikr cos θS(k, r, n)

S(k, r, n) ≡ (τ ′e−τ)

ℓm ym ℓ (k)Y m ℓ (k, n)

where we use the ym

ℓ rather than the yiℓ.

Full Sky method Align k with the azimuthal direction. Expand the eikr cos θ in Y m

ℓ (n). Coefficients are jℓ(kr)

Compose these Y m

ℓ with the Y m ℓ of the sources: Clebsch Gordan

coefficients. Perform the integral on k, by rotating the result to a general k

Cyril Pitrou (ICG, Portsmouth) 18 Novembre 2010 36 / 50

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SLIDE 37

The flat-sky approximation

The flat sky method

Method Use cylindrinc coordinates in the

  • dk around an average direction

nFS to compute ξ(θ) = Θ(n)Θ(n′)n.n′=cos θ We obtain the Cℓ from Cℓ = 2π

  • sin θdθ Pℓ(cos θ) ξ(θ)

General expression Cℓ =

1 2π

  • drdr ′dkr exp[ikr(r − r ′)]

1 [(r+r ′)/2]2 P(k)S(k, r, θ)S⋆(k, r ′, θ)

with cos(θ) = kr/k FS constraint k⊥(r + r ′)/2 = ℓ k⊥(r + r ′)/2 = ℓ + 1/2 k⊥(r + r ′)/2 =

  • ℓ(ℓ + 1)

Cyril Pitrou (ICG, Portsmouth) 18 Novembre 2010 37 / 50

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SLIDE 38

The flat-sky approximation

Two useful limits

The thin shell Sources confined in a narrow region around rLSS Cℓ =

1 r2

LSS

dkr

  • dr exp(ikrr)S(k, r, θ)
  • 2 P(k)

The Limber approximation Sources in a large range of values,

  • dkr exp[ikr(r − r ′)] → 2πδ(r − r ′)

Cℓ =

  • dr
  • S(k,r,0)

r

  • 2

P(k)

Cyril Pitrou (ICG, Portsmouth) 18 Novembre 2010 38 / 50

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SLIDE 39

The flat-sky approximation Cyril Pitrou (ICG, Portsmouth) 18 Novembre 2010 39 / 50

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SLIDE 40

Numerical resolution and analytic insight

1

Motivations for non-Gaussianity search

2

Theory of perturbations

3

Spectral distortions

4

The flat-sky approximation

5

Numerical resolution and analytic insight

Cyril Pitrou (ICG, Portsmouth) 18 Novembre 2010 40 / 50

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SLIDE 41

Numerical resolution and analytic insight

Linear evolution of perturbations (order 1)

Cyril Pitrou (ICG, Portsmouth) 18 Novembre 2010 41 / 50

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SLIDE 42

Numerical resolution and analytic insight

Perturbations on the LSS

1.2 1.3 1.4 1.5 1.6 1.7 3 2 1 1 2 3 Log10k

∆4, vb 3 at LSS

0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.2 0.1 0.0 0.1 0.2 Log10aaeq

∆r4, vb 3

Red: Intrinsic Θ and Einstein effect Blue: Doppler effect

Cyril Pitrou (ICG, Portsmouth) 18 Novembre 2010 42 / 50

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SLIDE 43

Numerical resolution and analytic insight

Linear response of radiation

  • (1 + R)δ(1)′

r

4 ′ + visc + k2 3 δ(1)

r

4 ≃ −k2 3 (1 + R)Φ(1) +

  • (1 + R)Φ(1)′′

with R = 3¯ ρb/(4¯ ρr). Because of viscosity, at small scale: Θ(1) ≃ δ(1)

r

4 + Φ(1) → −RΦ(1)

Cyril Pitrou (ICG, Portsmouth) 18 Novembre 2010 43 / 50

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SLIDE 44

Numerical resolution and analytic insight

Primary and secondary effects

A mode k correlates points separated at most by ∆r = rLSS/ℓ Primary effects Located on the LSS. Intrinsic Θ, Φ, Doppler . . . . Θ(2)intr(ni

1, rLSS)Θ(1)(ni 2, rLSS)Θ(1)(ni 3, rLSS)

Secondary effects Θ(2)lensed(ni, rLSS) = ∇iΘ(1)(ni, rLSS) rLSS ∇iφ(ni, r ′)dr ′ Coupling between the lensing potential φ(r ′) and a late-time effect. rLSS dr ′∇iφ(ni

1, r ′)∇iΘ(1)(ni 1, rLSS)Θ(1)(ni 2, r ′)Θ(1)(ni 3, rLSS)

Cyril Pitrou (ICG, Portsmouth) 18 Novembre 2010 44 / 50

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SLIDE 45

Numerical resolution and analytic insight

Dynamics of primary effects

Non-linear evolution (order 2)

  • (1 + R)δ(2)′

r

4 ′ + visc + k2 3 δ(2)

r

4 ≃ −k2 3 (1 + R)Φ(2) +

  • (1 + R)Φ(2)′′

+ quadr Behaviour on small scales (viscosity) Θ(2)intr ≃ δ(2)

r

4 + Φ(2) → −RΦ(2)

Potential created by the collapse of cold dark matter 1 2Φ(2)(k, η) ≃ −1 6K(k1, k2) k1k2η k 2 Φ(k1)Φ(k2), (3)

Cyril Pitrou (ICG, Portsmouth) 18 Novembre 2010 45 / 50

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SLIDE 46

Numerical resolution and analytic insight

2.0 1.5 1.0 0.5 0.0 0.5 2.5 2.0 1.5 1.0 0.5 0.0 Log10aaeq 2 2 2.0 1.5 1.0 0.5 0.0 0.5 2.5 2.0 1.5 1.0 0.5 0.0 Log10aaeq 2 2 0.2 0.3 0.4 0.5 0.6 0.7 0.8 1 1 2 3 4 5 Log10y ∆r4, vr 3 0.2 0.3 0.4 0.5 0.6 0.7 0.8 1 1 2 3 4 Log10y ∆r4, vr 3

Cyril Pitrou (ICG, Portsmouth) 18 Novembre 2010 46 / 50

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SLIDE 47

Numerical resolution and analytic insight

Estimator of primordial non-Gaussianity We build an estimator for fNL using all Θℓ1m1Θℓ2m2Θℓ3m3 up to ℓmax without taking into account the non-linear dynamics. If fNL = 0, what measures this estimator? Answer : f eq

NL

Observational constraints on fNL (WMAP-5) Local NG: −9 < fNL < 111 Equilateral NG: −150 < fNL < 253 Planck is going to increase ℓmax, thus reducing the cosmic variance limitation, thus increasing the precision.

Cyril Pitrou (ICG, Portsmouth) 18 Novembre 2010 47 / 50

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SLIDE 48

Numerical resolution and analytic insight

Bispectrum generated by primary effects

Local NG Equilateral NG Conclusion Secondary effect add up (same sign) Non-linear evolution has to be taken into account in future constraints on non-Gaussianity.

Cyril Pitrou (ICG, Portsmouth) 18 Novembre 2010 48 / 50

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SLIDE 49

Numerical resolution and analytic insight

Thanks a lot for your attention.

Cyril Pitrou (ICG, Portsmouth) 18 Novembre 2010 49 / 50

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SLIDE 50

Numerical resolution and analytic insight Cyril Pitrou (ICG, Portsmouth) 18 Novembre 2010 50 / 50