TESTING STRINGY NON-GAUSSIANITY Sarah Shandera Columbia University - - PowerPoint PPT Presentation

testing stringy non gaussianity
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TESTING STRINGY NON-GAUSSIANITY Sarah Shandera Columbia University - - PowerPoint PPT Presentation

TESTING STRINGY NON-GAUSSIANITY Sarah Shandera Columbia University arXiv:0711.4126 (M. LoVerde, A. Miller, S.S., L. Verde) arXiv:0802.2290 (L. Leblond, S.S.) String Pheno, 2008 NOT ONLY THE LHC... Galaxy Surveys: SZA, ACT, SPT B-mode


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String Pheno, 2008

TESTING STRINGY NON-GAUSSIANITY

Sarah Shandera Columbia University

arXiv:0711.4126 (M. LoVerde, A. Miller, S.S., L. Verde) arXiv:0802.2290 (L. Leblond, S.S.)

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String Pheno, 2008

NOT ONLY THE LHC...

Galaxy Surveys: SZA, ACT, SPT PLANCK (Nov?) B-mode polarization: QUIET, EBEX,

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String Pheno, 2008

STRING COSMOLOGY

String theory is a likely place to look for models of very early universe physics: inflation or any alternatives String theory has already provided new ideas for cosmologists (e.g. slow-roll is hard) Depending on scales, Hubble vs. (warped) string, there may be signatures of stringy physics Much more observational information is on its way - potential to uncover interesting (and discriminating) features: non-Gaussianity

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String Pheno, 2008

PLAN

Non-Gaussianity: Why? Qualitative features. What physics is probed by those qualitative features? Potential of near-future observations

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String Pheno, 2008

PLAN

Non-Gaussianity: Why? Qualitative features. What physics is probed by those qualitative features? Potential of near-future observations

Focus on scale-dependence, a consequence and probe of warped extra dimensions

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SLIDE 6
  • I. NON-GAUSSIANITY
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String Pheno, 2008

PHENO PICTURE

V( ) ! ! !"#$!%#""&%'()#* %'+',-)*( ./0)"",-)#*/1 2,34'5 67,*-73&8"70-7,-)#*/

φ V(φ)

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String Pheno, 2008

PHENO PICTURE

V( ) ! ! !"#$!%#""&%'()#* %'+',-)*( ./0)"",-)#*/1 2,34'5 67,*-73&8"70-7,-)#*/

φ V(φ) Curvature ζ(k1)ζ(k2) = (2π)3δ3

D(k1 + k2)(2π2k−3)Pζ(k)

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String Pheno, 2008

PHENO PICTURE

V( ) ! ! !"#$!%#""&%'()#* %'+',-)*( ./0)"",-)#*/1 2,34'5 67,*-73&8"70-7,-)#*/

φ V(φ) Pζ(k) ∝ kns−1 Pζ ≈ 10−9 Amplitude Scale-dependence Curvature ζ(k1)ζ(k2) = (2π)3δ3

D(k1 + k2)(2π2k−3)Pζ(k)

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String Pheno, 2008

NON-GAUSSIANITY

Gaussian: all higher order, connected, n-point functions are zero Fluctuations are exactly Gaussian only for free fields; we know this can’t be true of the inflaton (nearly flat potential usually means nearly free) Non-zero 3-point is a first check (expect it to be easiest to measure)

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String Pheno, 2008

NON-GAUSSIANITY

Gaussian: all higher order, connected, n-point functions are zero Fluctuations are exactly Gaussian only for free fields; we know this can’t be true of the inflaton (nearly flat potential usually means nearly free) Non-zero 3-point is a first check (expect it to be easiest to measure)

ζ(k1)ζ(k2)ζ(k3) = (2π)3δ3

D(k1 + k2 + k3)B(k1, k2, k3)

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String Pheno, 2008

STRING EXAMPLES

Multiple fields...Many! Single field with additional structure D3/D7 + cosmic strings (Haack, Kallosh, Krause, Linde, Lust, Zagermann); Any field + sharp features in the potential/geometry (Chen, Easther, Lim; Bean, Chen, Hailu, Tye, Xu); deviations from Bunch-Davies (short inflation) (Holman,Tolley); Landscape inflation (Tye) Single field with derivative interactions DBI brane inflation; p-adic (Silverstein, Tong; Barnaby, Cline)

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String Pheno, 2008

OBSERVABLES

Real space or k-space correlation functions CMB or galaxy bispectrum Sensitive to detailed model Probability density function Count very large objects (galaxy clusters) Sensitive to over-all amount (and sign, scaling,...)

  • f NG
  • k2
  • k1
  • k3
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String Pheno, 2008

INFLATON TO DENSITY

Inflaton Curvature

φ

ζ

Density Structure

δ

δ

ζ

Curvature Density

δ

Gaussian Non-Gaussian Non-Gaussian σ

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String Pheno, 2008

QUALITATIVE FEATURES

Amplitude (how non-Gaussian?) Shape (largest for which triangles?) Sign (positively skewed?) Scale-dependence (growing or shrinking on small scales?)

Each of these features can rule

  • ut large classes of models
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String Pheno, 2008

QUALITATIVE FEATURES

Amplitude (how non-Gaussian?) Shape (largest for which triangles?) Sign (positively skewed?) Scale-dependence (growing or shrinking on small scales?)

Each of these features can rule

  • ut large classes of models

Slow roll

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String Pheno, 2008

QUALITATIVE FEATURES

Amplitude (how non-Gaussian?) Shape (largest for which triangles?) Sign (positively skewed?) Scale-dependence (growing or shrinking on small scales?)

Each of these features can rule

  • ut large classes of models

Slow roll

X

(Maldacena)

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String Pheno, 2008

QUALITATIVE FEATURES

Amplitude (how non-Gaussian?) Shape (largest for which triangles?) Sign (positively skewed?) Scale-dependence (growing or shrinking on small scales?)

Each of these features can rule

  • ut large classes of models

Slow roll Derivative terms

X

(Maldacena)

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String Pheno, 2008

QUALITATIVE FEATURES

Amplitude (how non-Gaussian?) Shape (largest for which triangles?) Sign (positively skewed?) Scale-dependence (growing or shrinking on small scales?)

Each of these features can rule

  • ut large classes of models

Slow roll Derivative terms

X X

(Maldacena)

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String Pheno, 2008

QUALITATIVE FEATURES

Amplitude (how non-Gaussian?) Shape (largest for which triangles?) Sign (positively skewed?) Scale-dependence (growing or shrinking on small scales?)

Each of these features can rule

  • ut large classes of models

Slow roll Derivative terms DBI

X X

(Maldacena)

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SLIDE 21

String Pheno, 2008

QUALITATIVE FEATURES

Amplitude (how non-Gaussian?) Shape (largest for which triangles?) Sign (positively skewed?) Scale-dependence (growing or shrinking on small scales?)

Each of these features can rule

  • ut large classes of models

Slow roll Derivative terms DBI

X X X

(Maldacena)

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SLIDE 22

String Pheno, 2008

QUALITATIVE FEATURES

Amplitude (how non-Gaussian?) Shape (largest for which triangles?) Sign (positively skewed?) Scale-dependence (growing or shrinking on small scales?)

Each of these features can rule

  • ut large classes of models

Slow roll Local model Derivative terms DBI

X X X

(Maldacena)

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String Pheno, 2008

QUALITATIVE FEATURES

Amplitude (how non-Gaussian?) Shape (largest for which triangles?) Sign (positively skewed?) Scale-dependence (growing or shrinking on small scales?)

Each of these features can rule

  • ut large classes of models

Slow roll Local model Derivative terms DBI

X X X X

(Maldacena)

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  • II. PHYSICS PROBED:

DERIVATIVE INTERACTIONS AND DBI

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String Pheno, 2008

GENERAL SET-UP

Action is a function of a single field and its first derivatives Sound speed

c2

s =

P,X P,X + 2XP,XX

Armendariz-Picon, Damour, Mukhanov; Garriga, Mukhanov

S = 1 2

  • d4x√−g[M 2

pR − 2P(X, φ)]

X = −1 2gµν∂µφ∂νφ

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String Pheno, 2008

EXAMPLE CASE: DBI

R r0, e0

  • 4A

D3

ρ0

h ≈ R4 r4 = R4T 2

3

φ4

˙ φ2 < f(φ)−1 = Sh(φ)−1

γ(φ) = 1

  • 1− f(φ)˙

φ2

P,X = c−1

s

= γ

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String Pheno, 2008

THE PARAMETERS

Non-Gaussianity Scale-dependence of the sound speed

cs(k) = cs(k0) k k0 κ f eff

NL ∝ 1

c2

s

(Seery, Lidsey; Chen, Huang, Kachru, Shiu)

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String Pheno, 2008

REASON TO KNOW UV PHYSICS I

Suppose we have an action Then But for DBI, we know the sum

P(X, φ) = −V (φ) + X + a1 X2 M 4 + a2 X3 M 8 + . . .

X/M4 ≪ 1 ⇒ c2

s ∼ O(a few×10−1)

f eff

NL ∝ 1/c2 s ∼ O(1)

(Creminelli)

P(X, φ) = −f(φ)

  • 1 − 2Xf −1(φ) + f(φ) − V (φ)
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String Pheno, 2008

REASON TO KNOW UV PHYSICS II

‘EFT’ for the inflaton, perturbative calculations from the general sound speed action breaks down when Warped deformed conifold: warp factor goes to a constant and we can use string theory to understand

c4

s ∼ Pζ ∼ 10−9

c4

s < Pζ

(talks by Klebanov;)

(Cheung, Creminelli, Fitzpatrick, Kaplan, Senatore; Leblond, S.S.)

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  • III. OBSERVATIONAL

PROSPECTS

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String Pheno, 2008

NG ON A RANGE OF SCALES

κ = −0.1

κ = −0.3

Larger range of scales = Larger range of geometry

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String Pheno, 2008

OBSERVATIONS: CLUSTERS

Count the number of very large objects (several sigma fluctuations) Sensitive to magnitude of non-Gaussianity on the smallest ‘linear’ scales If NG is large at CMB scales and or has a large running, upcoming surveys can constrain it.

LoVerde, Miller, S.S., Verde

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String Pheno, 2008

SUMMARY

Observations will soon be powerful enough to probe interactions of the inflaton Models of inflation from string theory have a range of interactions with surprising features Scale dependent non-Gaussianity, observable by combining CMB and large scale structure data, is a useful qualitative feature: most optimistic case, probes geometry of extra dimensions Large non-Gaussianity would require interesting physics