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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

Sν

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

ℓ

  • 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 = ¯

eµ

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

dη

  • Order 2

4) Shapiro (or potential) time-delay δ

  • dxI

dη

  • Order 2

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

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SLIDE 24

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

eΤ

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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SLIDE 28

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

ℓ

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

2π

  • 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