The Statistical Properties of Large Scale Structure Alexander Szalay Department of Physics and Astronomy The Johns Hopkins University.

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The Statistical Properties of Large Scale Structure Alexander Szalay Department of Physics and Astronomy The Johns Hopkins University

Outline Lecture 1: –Basic cosmological background –Growth of fluctuations –Parameters and observables Lecture 2: –Statistical concepts and definitions –Practical approaches –Statistical estimators Lecture 3: –Applications to the SDSS –Angular correlations –Real-space power spectrum

Lecture #1 Cosmological background – the big picture –The expanding Universe –The small fluctuations –The Parameters of the Universe –Observables –Large-scale surveys

The Expansion The Universe started in a hot Big Bang It is expanding, it is extremely uniform It is filled with black-body radiation The expansion is described by a small number of parameters There are small ripples on top of the smooth background, leading to the observed large-scale structure (LSS) in the Universe

The Microwave Background Uniform black-body radiation, detected by Penzias and Wilson Temperature T 0 =2.728°K today Earlier: Ripples at 10 -5

The Einstein Equations The expansion equation, and the equation of state: Curvature depends on the density Today:

The Critical Density Density is expressed in terms of critical density: The density has different components, which differ in their equation of state: –Matter (dark matter, baryons)P = 0 –RadiationP =  /3 –Cosmological constant (dark energy)P = -w 

The Expansion vs  DensityExpansionCurvature high closed positive low open negative critical parabolic zero

The Fluctuations The Universe has small ripples, originating shortly after from the Big Bang. The gravitational potential is modified these small fluctuations. P(k): P(k): fluctuation spectrum

Shape of the Power Spectrum Tied to the Big Bang –Early horizon size is much smaller than any relevant scale today –Must be scale invariant => power law: P(k)= A k n What is the exponent? –Poisson’s equation –The power spectrum of the potential fluctuations is –The variance per logarithmic interval is –The n=1 spectrum is “double scale-invariant” (Harrison-Zeldovich)

The Growth of Fluctuations Jeans (1902): gravitational instability in a P=0 fluid When the pressure is large, sound waves At around recombination: –Phase interference => modulation of fluctuations –Behaves like a resonant cavity time observer P=  /3 p,e,  zero mean free path Oscillating sound waves Gravitational growth/decay P=0 H,  no scattering Surface of last scattering Nonlinear growth

Transfer Function Subsequent evolution changes the power spectrum –Linear growth:D(t) The same for each wave number, self-similar –Transfer phenomena: T(k) Different for different wavenumbers, but modes independent Includes damping, suppressed growth –Non-linear growth Nonlinear interactions, mode-mode coupling Happening mostly on small scales Difficult to describe analytically

Evolution of Fluctuations Components: –Dark energy, dark matter, baryons, photons, neutrinos At z>1300 strong coupling between baryons and photons Several effects present: –“Friction”: the expansion rate of the universe, depends on the effective equation of state of the whole universe –“Speed of sound”: the back reaction of pressure gradients, depends on the equation of state of the baryons

Changing Equations of State Sharp changes in the equations of state: –Equality –Recombination All happens between z=1300 and z=1000 Radiation drag acting on the baryons until z=200

The Effect of Sound Waves The remnants of early sound waves show up as small bumps in the LSS P(k) They fully affect the CMB Wavelength given by the sound horizon (Sakharov) Amplitude of LSS bumps depends on W. Hu (1992)

Non-linear Growth

Relevant Scales Distances measured in Mpc [megaparsec] 1 Mpc = 3 x cm 5 Mpc = distance between galaxies 3000 Mpc= scale of the Universe if >200 Mpc fluctuations have a PRIMORDIAL shape if <100 Mpc gravity creates sharp features, like walls, filaments and voids Biasing conversion of mass into light is nonlinear light is much more clumpy than the mass

Parameters of the Universe H 0 Hubble constant55-75 km/s/Mpc  0 density parameter t 0 age of the Universe13-15 Gyr  k curvature0 ±0.05  m density of matter   cosmological constant  B /  m baryon fraction  density of neutrinos? All inter-related, not independent. There are still uncertainties, although less than a year ago... Goal: few percent precision within 2 years H 0 Hubble constant55-75 km/s/Mpc  0 density parameter t 0 age of the Universe13-15 Gyr  k curvature0 ±0.05  m density of matter   cosmological constant  B /  m baryon fraction  density of neutrinos? All inter-related, not independent. There are still uncertainties, although less than a year ago... Goal: few percent precision within 2 years H 0 Hubble constant71 km/s/Mpc  0 density parameter t 0 age of the Universe13-14 Gyr  k curvature0 ±0.05  m density of matter0.35 ±0.05   cosmological constant0.65 ±0.05  B /  m baryon fraction0.17 ±0.05  density of neutrinos? After WMAP H 0 Hubble constant71 km/s/Mpc  0 density parameter t 0 age of the Universe13-14 Gyr  k curvature0 ±0.05  m density of matter0.35 ±0.05   cosmological constant0.65 ±0.05  B /  m baryon fraction0.17 ±0.05  density of neutrinos? After WMAP

Observables We can measure: Fluxes – luminosity distance Angles and distances – angular diameter distance Galaxy velocities – the density of matter Galaxy 2D positions – the shape of the fluctuations Galaxy 3D positions – anisotropies in the fluctuations

Angular Diameter Distance The light travels along geodesics: dAdA  r “Angular diameter distance”

Luminosity Distance The Euclidian distance based on its observed flux Related to the angular diameter distance

The Shape of the Fluctuations Overall spectral index (n)(tilt) Amplitude (  8 ) (up-down shift) Matter-radiation equality (  m h) (left-right shift) Remnants of sound waves (f B )(bumps) Neutrino mass (  )(damping) Separation of light from the mass (b)(biasing) Redshift distortion (  =  m 0.6 /b)(radial anisotropy) Dark Energy(   )(xverse anisotropy) Nonlinear effects(high-k tail)

The Basic Data Sets Redshifts of supernovae – standard candles Ripples in the Microwave background – yardsticks Galaxy clustering – cosmological parameter fitting Galaxy photometry – careful sample selection, evolution

Distant Supernovae The maximum luminosity of supernovae is constant If spotted in time => distance Brightness/Redshift: Hubble diagram Deviations from Hubble’s law: curvature

Hubble-diagram

SN 1997ff

Fitting a Redshift to the SN Only photometric redshift possible Part of the PhD of Tamas Budavári (ELTE)

Cosmological Constant The redshift and brightness of the supernova suggested a nonzero cosmological constant! The Universe will expand forever

CMB Maps 1990COBE Boomerang 10, CBI 50, WMAP 1 Million 2008Planck10 Million

Cosmic Microwave Background Snapshot of the surface of last scattering Physical size of ripples given by sound horizon Angular size measured from harmonic analysis => Angular diameter distance gives curvature

Clustering of Galaxies Measure the spectrum of the density fluctuations today, even on very large scales The error in the amplitude of the fluctuation spectrum 1970x x ± ± ± ±0.05 The error in the amplitude of the fluctuation spectrum 1970x x ± ± ± ± ±0.03

Angular Surveys 1970 Lick 1M 1990APM 2M 2005SDSS200M 2008LSST 2000M

Local Redshift Surveys 1986CfA LCRS dF SDSS

Area and Size of Redshift Surveys

Status Today Large samples, selected on rest-frame criteria Power spectrum measured longward of the peak Global shape of power spectrum fully understood Advanced analysis techniques working as planned Degeneracies almost orthogonal to CMB Excellent agreement between CMB, LSS and SN

Near Future Challenges: –Baryon bumps, cosmological constant, equation of state Cosmological constant is a special case of a more general possibility: DARK ENERGY Equation of state: Cosmological constant: New data around the corner: –Very large redshift samples (SDSS-LRG) –Very large supernova samples (SNAP) –Very large CMB maps (MAP, PLANCK) Combined analysis

Combining Methods Eisenstein and Hu (1992) Different methods have different degeneracies Combinations at the likelihood level yield huge improvements

Summary Cosmology became an experimental science, we are performing physical experiments Many of the outstanding questions are statistical Sky surveys provide huge, uniform data sets The geometric properties of the Universe are known The primordial fluctuation spectrum is ‘shaping up’ Lots of very hard work is needed to reach precision! We still have outstanding challenges

Precision Cosmology Over the next three years redshift surveys will –Detect the baryon bumps –Constrain the dark energy –Constrain the neutrino mass –Contribute substantially to constraints when combined with CMB The end of an era… Martin Rees (2001): “soon cosmology will bifurcate”… –‘brane’ cosmology –‘environmental’ cosmology