The previous pages followed one perturbation at a time. The real universe contains ripples on every scale at once, with random phases, so no theory can predict where a particular galaxy sits. What theory can predict is the statistics: how strong the fluctuations are on each scale. This page follows the end of the 8.902 Lecture 14 notes (section 2.C) and the start of Lecture 15 (section 2.D), where the notes introduce the power spectrum, the correlation function and the form of the primordial spectrum. [The Lecture 15 notes open by repeating p. 90 of the Lecture 14 notes; citations below use whichever PDF first contains the equation.]
Fourier modes and the variance#
Write the density contrast as a sum of plane waves, exactly as for the single modes on the earlier pages:
In words
delta ( vector x ) equals the integral of d cubed k over (2 pi ) cubed delta hat ( vector k ) e to the power minus i vector k dot vector x , delta hat ( vector k ) equals the integral of d cubed x delta ( vector x ) e to the power plus i vector k dot vector x
By construction the average of over space is zero — it measures departures from the mean density. The simplest non-trivial number is therefore the variance, the mean of :
In words
the average of delta equals 0, sigma squared equals the average of delta squared minus the average of delta squared equals the average of delta squared equals the integral of d cubed k over (2 pi ) cubed | delta hat ( vector k )| squared
[The notes write the averages as plain integrals ; an average needs a factor , the volume, so strictly ; the same applies to in eq. (408) below. The step to -space is Parseval's theorem.]
If the universe is statistically homogeneous and isotropic, can depend only on the length , not on direction, and . Then
In words
sigma squared equals 1 over 2 pi squared the integral of | delta hat (k)| squared k squared dk equals : 1 over 2 pi squared the integral of P(k) k squared dk, P(k) equals | delta hat (k)| squared
using . The power spectrum says how much of the total variance sits in waves of wavenumber — that is, on length scales around . Two remarks from the notes:
- and change with time, because every grows. In the linear regime all large-scale modes grow by the same growth factor from the earlier page, so .
- The starting point is the primordial power spectrum left at the end of inflation. Its general form is a power law,
In words
P(k) equals A k to the power n
which has no preferred scale ("scale-free"). Inflation predicts ; section 2.D below shows why that value is natural.
The two-point correlation function#
We cannot measure for the dark matter directly, but we can count galaxies. Suppose galaxies trace the mass, with mean number density . The probability of finding one galaxy in a small volume and another in a distance away is
In words
dP equals n sub 0 [1 plus delta ( vector x )] dV sub 1 times n sub 0 [1 plus delta ( vector x plus vector r )] dV sub 2 equals n sub 0 squared [1 plus xi (r)] dV sub 1 dV sub 2
On averaging, the terms linear in vanish, and the product is left. It depends only on the distance (isotropy), and is called the two-point correlation function . For a random (Poisson) scattering of galaxies ; means pairs at that separation are more common than random — the galaxies cluster.
Substituting the Fourier expansion twice and using collapses the double integral to a single one:
In words
xi (r) equals the average of delta ( vector x ) delta ( vector x plus vector r ) equals 1 over (2 pi ) cubed the integral of P(k) e to the power i vector k dot vector r d cubed k
So ξ and P are a Fourier pair: the same information, one in real space and one in wavenumber space. (Here is the Dirac delta, not the density contrast.) At the correlation function is just the variance, .
Galaxy surveys find, over a wide range of separations, a power law:
In words
xi (r) is approximately ( r over r sub 0 ) to the power minus 1.8 , r sub 0 is approximately 5 h to the power minus 1 Mpc
The correlation length is where : pairs are twice as common as random. ( is the Hubble constant in units of 100 km/s/Mpc.) Different kinds of object have different , and more massive objects cluster more strongly: the notes quote for the cluster–cluster compared with the galaxy–galaxy correlation function.
Reading a correlation function
Using : (a) how many times more likely than random is a galaxy pair at Mpc, and at Mpc? (b) If with the same slope, what is the clusters' correlation length?
(a) Small and large separations
At Mpc: , so times the random rate. At Mpc: , only 8% above random. Clustering is strong on small scales and fades on large ones.
(b) Cluster correlation length
We need , so Mpc. Clusters are correlated over distances five times larger than galaxies.
Fluctuations on a given mass scale#
Section 2.D asks what and are. First, how big are the fluctuations on a given scale? Smoothing the field over a region of size removes waves shorter than , so roughly only modes up to contribute (small = large scales):
In words
sigma squared is approximately the integral of sub 0 to the power k sub max P(k) k squared dk equals the integral of sub 0 to the power k sub max A k to the power n plus 2 dk is proportional to k sub max to the power n plus 3 which gives sigma is proportional to k to the power one half (n plus 3)
(the integral converges at only for ). A region of size holds a mass , so and
In words
sigma is proportional to k to the power one half (n plus 3) ; or M to the power minus 1 over 6 (n plus 3)
For , : a region with 1000 times more mass has fluctuations 100 times smaller. Small masses fluctuate most — the root of hierarchical ("bottom-up") structure formation, in which small objects form first.
Why n ≈ 1: the Harrison–Zel'dovich spectrum#
Outside the horizon every mode grows. The notes' argument is that no mass scale should be special: every mode should have the same fluctuation strength at the moment it enters the horizon. What does that demand of ?
The mass inside the horizon is , with . The physical horizon grows as , i.e. as in the radiation era and in the matter era, so
In words
M sub h is proportional to rho sub m r sub h cubed , rho sub m is proportional to (1 plus z) cubed , r sub h is proportional to a squared equals (1 plus z) to the power minus 2 when radiation ; or a to the power 3/2 equals (1 plus z) to the power minus 3/2 when matter which gives M sub h is proportional to (1 plus z sub h ) to the power minus 3 when radiation ; or (1 plus z sub h ) to the power minus 3/2 when matter
Meanwhile, outside the horizon, grows like — as in the radiation era and in the matter era (the super-horizon growth of the previous page):
In words
sigma is proportional to delta is proportional to a squared equals (1 plus z) to the power minus 2 when radiation ; or a equals (1 plus z) to the power minus 1 when matter
[The notes print for the matter case; , which they also print, is , consistent with in the matter era.]
Take a mode of mass that enters during the radiation era, at redshift . From the end of inflation, at , until then it grows as :
In words
sigma (z sub h ) equals sigma (z sub p ) ( 1 plus z sub p over 1 plus z sub h ) squared is proportional to sigma (z sub p ) (1 plus z sub h ) to the power minus 2
The primordial amplitude is from eq. (412), and the mode enters when , so :
In words
sigma (z sub h ) is proportional to M to the power minus 1 over 6 (n plus 3) M to the power 2/3 equals M to the power minus ( one half plus n-4 over 6 ) equals M to the power minus n-1 over 6
For a mode entering in the matter era the notes say only that the calculation is the same, giving the same result (eq. 419). Filling in the step (this page's own): gives again, and the earlier growth through the radiation era is the same factor for every such mode, so it does not change the -dependence. The last form, , is this page's simplification of the notes' exponent. For the horizon-entry amplitude to be the same for every mass, the exponent must vanish: no special scale means .
This is the Harrison–Zel'dovich (scale-invariant) spectrum, proposed around 1970 by Edward Harrison and Yakov Zel'dovich (and independently Peebles and Yu), before inflation. [The notes say σ(z_h) "should not depend on n"; the requirement is that it should not depend on , which then fixes .] Inflation, on the 8.286 pages, produces almost exactly this spectrum.
The amplitude: σ₈ and bias#
Inflation predicts the shape, but in practice the amplitude is measured. The standard yardstick is , the rms density fluctuation in spheres of radius Mpc. Galaxies need not trace the mass exactly; their fluctuations differ by the bias :
In words
sigma sub 8, gal equals b sigma sub 8, mass
Observed galaxies have . The notes quote the combined WMAP and SDSS values
In words
n equals 0.953 plus or minus 0.016, sigma sub 8 equals 0.756 plus or minus 0.035
So is close to 1 but slightly smaller — a small "tilt" that simple inflation models predict. Since the mass is below 1 while , these galaxies are biased, . (A standard explanation, not given in the notes: galaxies form preferentially in the higher peaks of the density field, and clusters, in the highest peaks, are even more biased.)
The transfer function: bending the spectrum#
The primordial spectrum is not what we see today. On the previous page, dark matter modes that entered the horizon during the radiation era stagnated until matter–radiation equality, while those entering later grew without interruption. Small scales entered earliest and lost the most growth. The notes describe this with a transfer function :
In words
P sub 0 (k) equals (A k) T squared (k), T(k) is approximately 1, when 1/k is much greater than L sub 0 ; or 1/k squared , when 1/k is much less than L sub 0
where is the comoving horizon at matter–radiation equality, and has been used. [The notes write ; the second case is meant up to normalisation, .] Large scales () entered after equality and keep the primordial . Small scales are suppressed by , giving . The spectrum therefore rises, peaks near , and falls — the turnover is a fossil of the moment matter took over from radiation.
Summary#
- The density field is described statistically: with the power spectrum . It grows in time as .
- The two-point correlation function is the excess probability of finding pairs at separation ; it is the Fourier transform of . Galaxies show ; massive objects cluster more.
- For , , and the amplitude at horizon entry is . Requiring no special scale gives the Harrison–Zel'dovich spectrum ; measurements give slightly below 1.
- The amplitude is measured as ; galaxies are biased tracers, .
- Stagnation of modes that entered the horizon before matter–radiation equality bends the spectrum: rises as on large scales and falls as on small ones, peaking near the horizon scale at equality.