Large-Scale Structure, Bias, and the Cosmic Web
From density fields to the cosmic web
Nonlinear structure formation
The late universe evolves from a nearly Gaussian primordial field into a complex network of filaments, sheets, halos, and voids. Analytic perturbation theory, numerical -body simulations, and halo models are all used to describe this evolution.
Bias concept
Galaxies are biased tracers of the underlying matter field, so observed clustering must be related to the total matter distribution through bias models.
Power spectra and correlation functions
Statistics of clustering
The matter power spectrum encodes the variance of density fluctuations in Fourier space, while the two-point correlation function is its configuration-space counterpart. BAO appear as a preferred scale in both representations.
Common observables
| Observable | Use |
|---|---|
| Fourier-space clustering | |
| Real-space correlations | |
| BAO peak | Standard ruler |
| RSD | Growth and peculiar velocities |
Halo formation and excursion-set ideas
Mass function intuition
Collapsed halos can be modeled through spherical or ellipsoidal collapse thresholds and excursion-set theory. The halo mass function depends sensitively on the variance of the smoothed density field and the growth factor.
What do baryon acoustic oscillations most directly provide?
The sound horizon acts as a standard ruler in galaxy clustering.
Correct answer: A comoving standard ruler
What is meant by galaxy bias?
It describes how galaxy overdensities trace the underlying matter overdensity field.
Correct answer: relation between galaxy and matter clustering
Nonlinear and baryonic effects
Challenges at small scales
On small scales, nonlinear dynamics, feedback from star formation and active galactic nuclei, and baryonic physics can alter clustering. Precision cosmology therefore requires simulations and nuisance modeling to avoid biased inference.
Why is small-scale cosmological inference more difficult than large-scale inference?
Nonlinear structure growth and baryonic processes complicate the mapping from theory to observables.
Correct answer: Because baryonic feedback and nonlinear evolution become important
Name one numerical method widely used for nonlinear structure formation.
-body simulations evolve gravitational clustering numerically.
Correct answer: N-body simulation