Testing dark energy as a function of scale

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Seminar at AIMS by Dr. Ignacy Sawicki, 15 November 2013

Transcript of Testing dark energy as a function of scale

Ignacy SawickiAIMS

arXiv:1305.008, 1210.0439 (PRD) + 1208.4855 (JCAP)Together with: L. Amendola, M. Kunz, M. Motta, I.Saltas.

The Bygone Era of Easy Choices

ฮ›

Dark Energy

โ€ข ๐‘ค = โˆ’1

โ€ข ๐‘ค โ‰  โˆ’1

โ€œModified gravityโ€

โ€ข ๐‘ค =/โ‰  โˆ’1โ€ข ๐‘s

2 = 1โ€ข ๐œ‚ โ‰  1

k-essenceโ€ข ๐‘ค =/โ‰  โˆ’1โ€ข ๐‘s

2 โ‰  1โ€ข ๐œ‚ = 1

15 November 2013 AIMS, Muizenberg

Managing the Model Bestiary

Slow-Rolling ๐“๐Ÿ โ‰ช ๐›€๐‘ฟ๐‘ฏ

๐Ÿ

Fast-Rolling ๐“๐Ÿ โˆผ ๐›€๐‘ฟ๐‘ฏ

๐Ÿ

Acceleration effectively from ฮ›

๐‘s2 = 1

Non-minimal coupling gives fifth force

Chameleon screening & Compton scale

(coupled) Quintessence, ๐’‡ ๐‘น , Brans-Dicke

Acceleration from kinetic condensate

Can describe hydrodynamics (incl. imperfect corrections)

Realistically should be nearly shift-symmetric

Non-trivial acoustic metric

Screening through Vainsteinmechanism

k-essence, KGB, galileons, shift-symmetric Horndeski

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What you get depends on what you put in

PlanckAde et al. (2013)

SDSS-III DR9Anderson et al. (2012)

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In this talkโ€ฆ

What properties can we actually observe without having assumed a model first? Only ๐ป(๐‘ง) not ๐‘ค Only potentials ฮฆ, ฮจ, not e.g. DM growth rate

Can we measure properties of DE in a model-independent way? Not all, but can form null tests from data which can eliminate

model classes

Fundamental reason: dark degeneracy between dark matter and dark energy All cosmological probes are only sensitive to geodesics

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15 November 2013 AIMS, Muizenberg

Our Limited Eyes

Galaxies P(k): BAO/RSD

Galaxy Shapes:Lensing

Supernovae:๐‘‘L

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The Best-Case Scenario

as little as feasibleAssume

โ€ข FRW + (scalar) linear perturbations

โ€ข Matter & light move on geodesics of some metric

โ€ข Linear density bias ๐›ฟgal = ๐‘(๐‘˜, ๐‘Ž)๐›ฟmโ€ข (Equivalence principle/Universality of couplings)

build Super-EuclidInfinite โ‚ฌ$ยฃยฅ

โ€ข Desired precision for position and redshift

โ€ข SNe

โ€ข lensing

โ€ข counting galaxies

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LSS: Galaxy Power Spectrum

Baryon Acoustic Oscillations is a fixed ruler

use to measure distance if same physical size

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SDSS III, Anderson et al. (2012)

Background

โ€ข ๐ป0๐ท ๐‘ง =1

โˆ’ฮฉ๐‘˜0sinh โˆ’ฮฉ๐‘˜0

๐ป0d๐‘ง

๐ป(๐‘ง)

SNe, โŠฅ BAO, CMB peak

โ€ข ๐ป ๐‘ง =ฮ”๐‘ง

๐‘  ๐‘งโˆฅ BAO

โ€ข Observables are ๐ป(๐‘ง)/๐ป0, ฮฉ๐‘˜0โ€ข Not๐‘ค ๐‘ง or ฮฉm

In principle

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Dark Degeneracy

In principle no way of measuring split between DE and DM

Only choice of parameterisation breaks degeneracy

e.g. constant ๐‘ค

Kunz (2007)

ฮฉ๐‘‹ = 1 โˆ’๐ป02

๐ป2ฮฉ๐‘˜0๐‘Ž

โˆ’2 + ฮฉm0๐‘Žโˆ’3

Anderson et al. (2012)

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Natural EoS for Quintessence

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Huterer and Peiris (2006)

๐‘ค = ๐‘ค0 + ๐‘ค๐‘Ž 1 โˆ’ ๐‘Ž ?

Perturbations

Want to measure ๐บeffand ๐œ‚ to determine DE model

Can we actually do this?

Remember: ๐บeff and ๐œ‚hide dynamics No reason for them to be

simple

3 ฮฆโ€ฒ โˆ’ฮจ + ๐‘˜2ฮฆ =3

2ฮฉm๐›ฟm +

๐Ÿ‘

๐Ÿ๐›€๐‘ฟ๐œน๐‘ฟ

ฮฆ+ฮจ = ๐œน๐… = ๐œŽฮฉ๐‘‹๐›ฟ๐‘‹

๐‘˜2ฮจ = โˆ’3

2๐‘ฎ๐ž๐Ÿ๐Ÿ ๐’Œ, ๐’‚ ฮฉm๐›ฟm

ฮฆ+ฮจ = 1 โˆ’ ๐œผ(๐’Œ, ๐’‚) ฮจ

d๐‘ 2 = โˆ’ 1 + 2ฮจ d๐‘ก2 + ๐‘Ž2 1 + 2ฮฆ d๐’™๐Ÿ

๐›ฟmโ€ฒโ€ฒ + 2 +

๐ปโ€ฒ

๐ป๐›ฟmโ€ฒ โˆ’

3

2๐‘ฎ๐ž๐Ÿ๐Ÿ ๐’Œ, ๐’‚ ๐œน๐ฆ = 0

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Is dark energy smooth?

โ€ข ๐œ‚ = 1

โ€ข ๐บeff = 1

ฮ›: of course

โ€ข ๐‘s2 = 1

โ€ข ๐œ‚ = 1

โ€ข ๐บeff โ†’ 1 +๐›ผ

๐‘s2๐‘˜2

Quintessence: more or less

โ€ข ๐‘s2 = 1

โ€ข ๐œ‚ =1

2

โ€ข ๐บeff =4

3

๐‘“(๐‘…): not at all

๐›ฟ๐œŒ๐‘‹ = โˆ’1

3๐›ฟ๐œŒm

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LSS: Measure Galaxy Shapes

Weak lensing Gravity from DM and DE

changes path of light, distorting galaxy shapes

Can invert this shear to measure the gravitational potential

๐ฟ = ๐‘˜2 ฮฆโˆ’ฮจ

Measure distribution of potential not of DM

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LSS: Measure Galaxy Shapes

Weak lensing Gravity from DM and DE

changes path of light, distorting galaxy shapes

Can invert this shear to measure the gravitational potential

๐ฟ = ๐‘˜2 ฮฆโˆ’ฮจ

Measure distribution of potential not of DM

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LSS: Galaxy Power Spectrum

Amplitude: related to dark matter through bias๐›ฟgal = ๐‘ ๐‘˜, ๐‘ง ๐›ฟm ๐‘ can only be measured

when you know what DE is

๐œŽ8 is not an observable

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SDSS III, Anderson et al. (2012)

LSS: Redshift-Space Distortions Real Space

Redshift Space

Measure peculiar velocity of galaxies, ๐œƒgal

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Hawkins et al (2002)

๐›ฟgal๐‘ง ๐‘˜, ๐‘ง, cos2๐›ผ = ๐›ฟgal ๐‘˜, ๐‘ง โˆ’ cos2๐›ผ

๐œƒgal ๐‘˜, ๐‘ง

๐ป

How are RSD (ab)used?

BOSS DR9 + WiggleZ, SDSS LRG, 2dFRGS Samushia et al. (2012)

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โ€ข Only measuring velocities of galaxiesโ€ฆ everything else is our interpretation

โ€ข Non-linearity important at early times. How do you set the initial conditions?

Continuity for DM

๐›ฟmโ€ฒ + ๐œƒm โ‰ˆ 0

โ€ข If ๐œƒm = ๐œƒgal then can measure

dark matter growth rate

๐›ฟmโ€ฒ โ‰ก ๐‘“๐›ฟm = ๐‘“๐œŽ8

From acceleration measure force

๐›ฟgal๐‘ง ๐‘˜, ๐‘ง, cos2๐›ผ = ๐›ฟgal ๐‘˜, ๐‘ง โˆ’ cos2๐›ผ

๐œƒgal ๐‘˜, ๐‘ง

๐ป

Galaxies move on geodesics

(๐‘Ž2๐œƒgal)โ€ฒ =๐‘˜2

๐ปฮจ

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๐‘˜2ฮจ = โˆ’๐‘…โ€ฒ โˆ’ ๐‘… 2 +๐ปโ€ฒ

๐ป

๐ด(๐‘˜, ๐‘ง) ๐‘…(๐‘˜, ๐‘ง)

๐‘˜2 ฮฆโˆ’ฮจ = ๐ฟ

Reconstruction of Metric

Ratios of potentials always observable

We measure power spectra of potentials, not dark matter

โˆ’ฮฆ

ฮจ= ๐œ‚

ฮจโ€ฒ

ฮจ= 1 + ฮ“

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What about ๐บeff?

Dark degeneracy strikes back

No way of measuring ๐บeff without a model

Would somehow need to weigh DM and separated from DE

๐บeffโ€ฒ

๐บeff+ ๐บeff

ฮฉm0 1 + ๐œ‚

๐ฟ/๐‘…= ฮ“

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So what?

Full constraints on particular models of course are perfectly fine Expensive and non-generic: how to anoint the particular

model? Initial conditions?

In practice, we use parameterisations which represent parts of model space Are they consistent? Do they say anything about my model? Do they allow us to unambiguously see the things my

model canโ€™t do?

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The model space

If ๐‘‹ small, then nothing new

Quintessence๐‘“ ๐‘…Brans-Dicke

If ๐‘‹ large, then any term can be important

The background is a path across the 4D operator space

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โ„’ โˆผ ๐พ ๐‘‹,๐œ™ + ๐บ3 ๐‘‹, ๐œ™ โง ๐œ™ +

+๐บ4 ๐‘‹, ๐œ™ ๐›ป๐œ‡๐›ป๐œˆ๐œ™2+ ๐บ5 ๐‘‹, ๐œ™ ๐›ป๐œ‡๐›ป๐œˆ๐œ™

3+ grav

Horndeski (1974)Nicolis, Ratazzi, Tricherini (2009

Deffayet, Gao, Steer, Zahariade (2011)

โ„’ โ‰ˆ ๐‘‹ + ๐‘‰ ๐œ™ + ๐‘“(๐œ™)๐‘…

2๐‘‹ โ‰ก ๐œ•๐œ‡๐œ™2

What can we actually say?

On FRW, get corrections to perfect fluid that go as ๐‘˜2

๐‘‡๐œ‡๐œˆ๐œ™= ๐‘‡๐œ‡๐œˆ

perf+ ๐œ…3๐‘˜

2๐œ‡๐œˆ + ๐œ…4๐‘˜

2๐œ‡๐œˆ

Alternative: e.g. braneworld models: corrections go as ๐‘˜ Lorentz-violating: higher powers of ๐‘˜

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๐‘†2(๐‘˜) = d๐‘ก๐‘Ž3๐œ…perf ๐‘ก ๐’ชperf ๐‘ก, ๐‘˜2 + ๐œ…3 ๐‘ก ๐’ช3 ๐‘ก, ๐‘˜2 +

+๐œ…4 ๐‘ก ๐’ช4 ๐‘ก, ๐‘˜2 + ๐œ…5(๐‘ก)๐’ช5(๐‘ก, ๐‘˜2)

Measure DE properties fromscale dependence

on the realised background

Amin, Wagoner, Blandford (2007)

๐บeff ๐œ‚, ๐บeffJeans

Blas, Sibiryakov (2011)

Creminelli, Luty, Nicolis, Senatore (2006)IS, Saltas, Amendola, Kunz (2012)

Gleyzes, Piazza, Vernizzi (2013)

Is it any scalar at all?

๐›ฟ๐‘‡00 โŠƒ ๐›ฟ๐œ™, ๐›ฟ๐œ™, ๐›ฟm ๐›ฟ๐‘‡๐‘–

0 โŠƒ ๐›ฟ๐œ™, ๐œน๐“, ๐œƒm ๐›ฟ๐‘‡๐‘—๐‘– โŠƒ ๐œน๐“

๐›ฟ๐‘‡๐‘–๐‘– โŠƒ ๐›ฟ๐œ™ , ๐›ฟ๐œ™, ๐œน๐“ ๐›ฟ๐œ™ = EoM

ฮฆโ€ฒโ€ฒ

ฮจ+ ๐›ผ1

ฮฆโ€ฒ

ฮจ+ ๐›ผ2

ฮจโ€ฒ

ฮจ+ ๐›ผ3 + ๐›ผ4๐‘˜

2ฮฆ

ฮจ+ ๐›ผ5 + ๐›ผ6๐‘˜

2 ฮจ = ฮฉm๐›ผ7๐œƒm

ฮ“(๐‘˜, ๐‘ง) ๐‘…โ€ฒ/๐‘…

Fix ๐›ผ๐‘–(๐‘ง)

๐œ‚(๐‘˜, ๐‘ง)

2 October2013 NYU Abu Dhabi

๐‘“(๐‘…): one param ๐‘šC(๐‘ง)

The Takeaway

In principle, we can reconstruct the evolution of the metric We cannot get the split between DE and DM without assuming

some class of models

Generically, DE models predict a change in the power law for ฮจ as a function of scale Different frameworks give you different scale dependence: could

potentially eliminate scalars completely

If I told you today that the background was inconsistent with ๐‘ค = โˆ’1, what have you learned? If that happens, weโ€™ll have to be more sophisticated about

interpreting the data

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