Computational Cosmology: From the Early Universe to the Large Scale Structure
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Abstract
In order to account for the observable Universe, any comprehensive theory or model of cosmology must draw from many disciplines of physics, including gauge theories of strong and weak interactions, the hydrodynamics and microphysics of baryonic matter, electromagnetic fields, and spacetime curvature, for example. Although it is difficult to incorporate all these physical elements into a single complete model of our Universe, advances in computing methods and technologies have contributed significantly towards our understanding of cosmological models, the Universe, and astrophysical processes within them. A sample of numerical calculations (and numerical methods applied to specific issues in cosmology are reviewed in this article: from the Big Bang singularity dynamics to the fundamental interactions of gravitational waves; from the quarkhadron phase transition to the large scale structure of the Universe. The emphasis, although not exclusively, is on those calculations designed to test different models of cosmology against the observed Universe.
1 Introduction
Numerical investigations of cosmological spacetimes can be categorized into two broad classes of calculations, distinguished by their computational goals: (1) geometrical and mathematical principles of cosmological models, and (ii) physical and astrophysical cosmology. In the former, the emphasis is on the geometric framework in which astrophysical processes occur, for example cosmological expansion, topological singularities, geometrodynamics in general, and classification characteristics or invariants of the many models allowed by the theory of general relativity. In the latter, the emphasis is on the cosmological and astrophysical processes in the real or observable Universe, and the quest to determine the model which best describes our Universe. The former is pure in the sense that it concerns the fundamental nonlinear behavior of the Einstein equations and the gravitational field. The latter is more complex as it addresses the composition, organization, and dynamics of the Universe from the small scales (fundamental particles and elements) to the large (galaxies and clusters of galaxies). However the distinction is not always so clear, and geometric effects in the spacetime curvature can have significant consequences for the evolution and observation of matter distributions.
Any comprehensive model of cosmology must therefore include nonlinear interactions between different matter sources and spacetime curvature. A realistic model of the Universe must also cover large dynamical spatial and temporal scales, extreme temperature and density distributions, and highly dynamic atomic and molecular matter compositions. In addition, due to all the varied physical processes of cosmological significance, one must draw from many disciplines of physics to model curvature anisotropies, gravitational waves, electromagnetic fields, nucleosynthesis, particle physics, hydrodynamic fluids, etc. These phenomena are described in terms of coupled nonlinear partial differential equations and must be solved numerically for general inhomogeneous spacetimes. The situation appears extremely complex, even with current technological and computational advances. As a result, the codes and numerical methods that have been developed to date are designed to investigate very specific problems with either idealized symmetries or simplifying assumptions regarding the metric behavior, the matter distribution/composition or the interactions among the matter types and spacetime curvature.
It is the purpose of this article to review published numerical cosmological calculations addressing problems from the very early Universe to the present; from the purely geometrical dynamics of the initial singularity to the large scale structure of the Universe. There are three major sections: Section 2 where a brief overview is presented of various defining events occurring throughout the history of our Universe and in the context of the standard model, Section 3 where reviews of early Universe and relativistic cosmological calculations are presented, and Section 4 which focuses on structure formation in the postrecombination epoch and on testing cosmological models against observations. Following the summary paragraphs in Section 5, an appendix in Section 6 presents the basic Einstein equations, kinematic considerations, matter source equations with curvature, and the equations of perturbative physical cosmology on background isotropic models. References to numerical methods are also supplied and reviewed for each case.
2 Background
2.1 A brief chronology
It is believed that several spontaneous symmetry breaking (SSB) phase transitions occured in the early Universe as it expanded and cooled, including the grand unification transition (GUT) at ∼ 10–34 s after the Big Bang in which the strong nuclear force split off from the weak and electromagnetic forces (this also marks an era of inflationary expansion and the origin of matterantimatter asymmetry through baryon, charge conjugation, and charge + parity violating interactions and nonequilibrium effects); the electroweak (EW) SSB transition at ∼ 10–11 s when the weak nuclear force split from the electromagnetic force; and the chiral or quantum chromodynamic (QCD) symmetry breaking transition at ∼ 10^{−5} s during which quarks condensed into hadrons. The most stable hadrons (baryons, or protons and neutrons comprised of three quarks) survived the subsequent period of baryonantibaryon annihilations, which continued until the Universe cooled to the point at which new baryonantibaryon pairs could no longer be produced. This resulted in a large number of photons and relatively few surviving baryons. Topological defects, defined as stable configurations of matter in the symmetric (high temperature) phase, may persist after any of the phase transitions described above to influence the subsequent evolution of matter structures. The nature of the defects is determined by the phase transition and the symmetry properties of the matter, and some examples include domain walls, cosmic strings, monopoles, and textures.
A period of primordial nucleosynthesis followed from ∼ 10^{−2} to ∼ 10^{2} during which light element abundances were synthesized to form 24% helium with trace amounts of deuterium, tritium, helium3, and lithium. Observations of these relative abundances represent the earliest confirmation of the standard model. It is also during this stage that neutrinos (produced from protonproton and protonphoton interactions, and from the collapse or quantum evaporation/annihilation of topological defects) stopped interacting with other matter, such as neutrons, protons, and photons. Neutrinos that existed at this time separated from these other forms of matter and traveled freely through the Universe at very high velocities, near the speed of light.
2.2 The standard model

the expansion of the Universe as verified by the redshifts in galaxy spectra and quantified by measurements of the Hubble constant H_{0} = 100h km s^{−1} Mpc^{−1}, where 0.5 ≤ h ≤ 1 is the Hubble constant;

the deceleration parameter observed in distant galaxy spectra (although uncertainties about galactic evolution, intrinsic luminosities, and standard candles prevent an accurate estimate);

the large scale isotropy and homogeneity of the Universe based on temperature anisotropy measurements of the microwave background radiation and peculiar velocity fields of galaxies (although the light distribution from bright galaxies is somewhat contradictory);

the age of the Universe which yields roughly consistent estimates between the lookback time to the Big Bang in the FLRW model and observed data such as the oldest stars, radioactive elements, and cooling of white dwarf stars;

the cosmic microwave background radiation suggests that the Universe began from a hot Big Bang and the data is consistent with a mostly isotropic model and a black body at temperature 2.7 K;

CMBR precision measurements suggest best fit cosmological parameters in accord with the critical density standard model;

the abundance of light elements such as ^{2}H, ^{3}He, ^{4} He, and ^{7}Li, as predicted from the FLRW model, is consistent with observations, provides a bound on the baryon density and baryontophoton ratio, and is the earliest confirmation of the standard model;

the present mass density, as determined from measurements of luminous matter and galactic rotation curves, can be accounted for by the FLRW model with a single density parameter (Ω_{0}) to specify the metric topology;

the distribution of galaxies and larger scale structures can be reproduced by numerical simulations in the context of inhomogeneous perturbations of the FLRW models;

the detection of dark energy from observations of supernovae is generally consistent with accepted FLRW model parameters and cold dark matter + cosmological constant numerical structure formation models.
However, some important unanswered questions about the standard model concern the nature of the special conditions that produced an essentially geometrically flat Universe that is also homogeneous and isotropic to a high degree over large scales. In an affort to address these questions, it should be noted that many other cosmological models can be constructed with a late time behavior similar enough to the standard model that it is difficult to exclude them with absolute certainty. Consider, for example, the collection of homogeneous but arbitrarily anisotropic vacuum spacetimes known as the Bianchi models [141, 69]. There are nine unique models in this family of cosmologies, ranging from simple Bianchi I models representing the Kasner class of spacetimes (the flat FLRW model, sometimes referred to as Type Ihomogeneous, belongs to this group), to the more complex and chaotic Bianchi IX or Mixmaster model (which also includes the closed FLRW model, Type IXhomogeneous). Several of these models will be discussed in the first section on relativistic cosmology (Section 3) dealing predominately with the early Universe, where the models differ the most.
Anisotropic solutions, as well as more general (and in some cases exact) inhomogeneous cosmological models with initial singularities, can isotropize through anisotropic damping mechanisms and adiabatic cooling by the expansion of the Universe to resemble the standard FLRW model at late times. Furthermore, if matter is included in these spacetimes, the effective energy of anisotropy, which generally dominates matter energy at early times, tends to become less important over time as the Universe expands. The geometry in these matterfilled anisotropic spacetimes thus evolves towards an isotropic state. Quantum mechanical effects have also been proposed as a possible anisotropy damping mechanism that takes place in the early Universe to convert vacuum geometric energy to radiation energy and create particles. All of this suggests that the early time behavior and effects of local and global geometry are highly uncertain, despite the fact that the standard FLRW model is generally accepted as accurate enough for the late time description of our Universe.
Further detailed information on homogeneous (including Blanch!) universes, as well as more general classes of inhomogeneous cosmological models can be found in [105, 158, 70].
3 Relativistic Cosmology
This section is organized to track the chronological events in the history of the early or relativistic Universe, focusing mainly on four defining moments: (1) the Big Bang singularity and the dynamics of the very early Universe, (ii) inflation and its generic nature, (iii) QCD phase transitions, and (iv) primordial nucleosynthesis and the freezeout of the light elements. The late or postrecombination epoch is reserved to a separate Section 4.
3.1 Singularities
3.1.1 Mixmaster dynamics
Some of the earliest numerical simulations of this dynamical system were performed by Matzner, Shepley, and Warren [116], and Moser, Matzner and Ryan [123] who followed phase space trajectories and provided examples of solutions for various initial conditions and special cases. Several, more recent, numerical calculations of the equations arising from Equations (3) and (4) have indicated that the Liapunov exponents of the system vanish, in apparent contradiction with the discrete maps [53, 89], and putting into question the characterization of Mixmaster dynamics as chaotic. However, it has since been shown that the usual definition of the Liapunov exponents is ambiguous in this case as it is not invariant under time reparametrizations, and that with a different time variable one obtains positive exponents [35, 73]. Also, coordinate independent methods using fractal basin boundaries to map basins of attraction in the space of initial conditions indicates Mixmaster spacetimes to be chaotic [64].
Although BLK conjectured that local Mixmaster oscillations might be the generic behavior for singularities in more general classes of spacetimes [33], it is only recently that this conjecture has begun to be supported by numerical evidence (see Section 3.1.2 and [37]).
3.1.2 AVTD vs. BLK oscillatory behavior
As noted in Section 3.1.1, an interesting and important issue in classical cosmology is whether or not the generic Big Bang singularity is locally of a Mixmaster or BLK type, with complex oscillatory behavior as the singularity is approached. Many of the Bianchi models, including the Kasner solutions (2), are characterized by either open or no potentials in the Hamiltonian framework [141], and exhibit essentially monotonic or Asymptotically Velocity Term Dominated (AVTD) behavior.
Considering inhomogeneous spacetimes, Isenberg and Moncrief [98] proved that the singularity in the polarized Gowdy model is AVTD type, as are more general polarized T^{2} symmetric cosmologies [38]. Early numerical studies using symplectic methods confirmed AVTD behavior and found no evidence of BLK oscillations, even in T^{3} × R spacetimes with U(1) symmetry [36] (although there were concerns about the solutions due to difficulties in resolving steep spatial gradients near the singularity [36], which were addressed later by Hern and Stewart [87] for the Gowdy T^{3} models).
However, Weaver et al. [160] established the first evidence through numerical simulations that Mixmaster dynamics can occur in a class of inhomogeneous spacetimes which generalize the Bianchi type VI_{0} model with a magnetic field and twotorus symmetry. Berger and Moncrief [41, 42] also demonstrated that U(1) symmetric vacuum cosmologies exhibit local Mixmaster dynamics consistent with the BLK conjecture, despite numerical difficulties in resolving steep gradients (which they managed by enforcing the Hamiltonian constraint and spatially averaging the solutions). Another more recent example supporting the BLK conjecture is provided by Garfinkle [79], who finds local oscillating behavior approaching the singularity in closed vacuum (but otherwise generic) spacetimes with no assumed symmetry in the initial data.
3.2 Inflation
The inflation paradigm is frequently invoked to explain the flatness (Ω_{0} ≈ 1 in the context of the FLRW model) and nearly isotropic nature of the Universe at large scales, attributing them to an era of exponential expansion at about 10^{−34} s after the Big Bang. This expansion acts as a strong dampening mechanism to random curvature or density fluctuations, and may be a generic attractor in the space of initial conditions. An essential component needed to trigger this inflationary phase is a scalar or inflaton field φ representing spin zero particles. The vacuum energy of the field acts as an effective cosmological constant that regulates GUT symmetry breaking, particle creation, and the reheating of the Universe through an interaction potential V (φ) derived from the form of symmetry breaking that occurs as the temperature of the Universe decreases.
Early analytic studies focused on simplified models, treating the interaction potential as flat near its local maximum where the field does not evolve significantly and where the formal analogy to an effective cosmological constant approximation is more precise. However, to properly account for the complexity of inflaton fields, the full dynamical equations (see Section 6.2.2) must be considered together with consistent curvature, matter and other scalar field couplings. Also, many different theories of inflation and vacuum potentials have been proposed (see, for example, a recent review by Lyth and Motto [113] and an introductory article by Liddle [111]), and it is not likely that simplified models can elucidate the full nonlinear complexity of scalar fields (see Section 3.3) nor the generic nature of inflation.
In order to study whether inflation can occur for arbitrary anisotropic and inhomogeneous data, many numerical simulations have been carried out with different symmetries, matter types and perturbations. A sample of such calculations is described in the following paragraphs.
3.2.1 Plane symmetry
3.2.2 Spherical symmetry
Goldwirth and Piran [83] studied the onset of inflation with inhomogeneous initial conditions for closed, spherically symmetric spacetimes containing a massive scalar field and radiation field sources (described by a massless scalar field). In all the cases they considered, the radiation field damps quickly and only an inhomogeneous massive scalar field remains to inflate the Universe. They find that small inhomogeneities tend to reduce the amount of inflation and large initial inhomogeneities can even suppress the onset of inflation. Their calculations indicate that the scalar field must have “suitable” initial values (local conditions for which an equivalent homogeneous Universe will inflate) over a domain of several horizon lengths in order to trigger inflation.
3.2.3 Bianchi V
Anninos et al. [14] investigated the simplest Bianchi model (type V) background that admits velocities or tilt in order to address the question of how the Universe can choose a uniform reference frame at the exit from inflation, since the de Sitter metric does not have a preferred frame. They find that inflation does not isotropize the Universe in the short wavelength limit. However, if inflation persists, the wave behavior eventually freezes in and all velocities go to zero at least as rapidly as tanh β ∼ R^{−1}, where β is the relativistic tilt angle (a measure of velocity), and R is a typical scale associated with the radius of the Universe. Their results indicate that the velocities eventually go to zero as inflation carries all spatial variations outside the horizon, and that the answer to the posed question is that memory is retained and the Universe is never really de Sitter.
3.2.4 Gravitational waves + cosmological constant
In addition to the inflaton field, one can consider other sources of inhomogeneity, such as gravitational waves. Although linear waves in de Sitter space will decay exponentially and disappear, it is unclear what will happen if strong waves exist. Shinkai and Maeda [148] investigated the cosmic nohair conjecture with gravitational waves and a cosmological constant (Λ) in 1D plane symmetric vacuum spacetimes, setting up Gaussian pulse wave data with amplitudes \(0.02\Lambda \leqslant max (\sqrt I ) \leqslant 80\Lambda \) and widths 0.08l_{H} ≤ l ≤ 2.5l_{H}, where I is the invariant constructed from the 3Riemann tensor and \({l_H} = \sqrt {3/\Lambda } \) is the horizon scale. They also considered colliding plane waves with amplitudes \(40\Lambda \leqslant \max (\sqrt I ) \leqslant 125\Lambda \) and widths 0.08l_{H} ≤ l ≤ 0.1l_{H}. They find that for any large amplitude or small width inhomogeneity in their parameter sets, the nonlinearity of gravity has little effect and the spacetime always evolves towards de Sitter.
3.2.5 3D inhomogeneous spacetimes
The previous paragraphs discussed results from highly symmetric spacetimes, but the possibility of inflation remains to be established for more general inhomogeneous and nonperturbative data. In an effort to address this issue, KurkiSuonio et al. [107] investigated fully threedimensional inhomogeneous spacetimes with a chaotic inflationary potential V(φ) = λφ^{4}/4. They considered basically two types of runs: small and large scale. For the small scale runs, the grid dimensions were initially set equal to the Hubble length so the inhomogeneities are well inside the horizon and the dynamical time scale is shorter than the expansion or Hubble time. As a result, the perturbations oscillate and damp, while the field evolves and the spacetime inflates. For the large scale runs, the inhomogeneities are outside the horizon and they do not oscillate. They maintain their shape without damping and, because larger values of φ lead to faster expansion, the inhomogeneity in the expansion becomes steeper in time since the regions of large φ and high inflation stay correlated. Both runs produce enough inflation to solve the flatness problem.
3.3 Chaotic scalar field dynamics
Many studies of cosmological models generally reduce complex physical systems to simplified or even analytically integrable systems. In sufficiently simple models the dynamical behavior (or fate) of the Universe can be predicted from a given set of initial conditions. However, the Universe is composed of many different nonlinear interacting fields including the inflaton field which can exhibit complex chaotic behavior. For example, Cornish and Levin [63] consider a homogenous isotropic closed FLRW model with various conformal and minimally coupled scalar fields (see Section 6.2.2). They find that even these relatively simple models exhibit chaotic transients in their early preinflationary evolution. This behavior in exiting the Planck era is characterized by fractal basins of attraction, with attractor states being to (1) inflate forever, (ii) inflate over a short period of time then collapse, or (iii) collapse without inflating. Monerat et al. [122] investigated the dynamics of the preinflationary phase of the Universe and its exit to inflation in a closed FLRW model with radiation and a minimally coupled scalar field. They observe complex behavior associated with saddletype critical points in phase space that give rise to deSitter attractors with multiple chaotic exits to inflation that depend on the structure of the scalar field potential. These results suggest that distinctions between exits to inflation may be manifested in the process of reheating and as a selected spectrum of inhomogeneous perturbations influenced by resonance mechanisms in curvature oscillations. This could possibly lead to fractal patterns in the density spectrum, gravitational waves, cosmic microwave background radiation (CMBR) field, or galaxy distribution that depend on specific details including the number of fields, the nature of the fields, and their interaction potentials.
3.4 Quarkhadron phase transition
The standard picture of cosmology assumes that a phase transition (associated with chiral symmetry breaking following the electroweak transition) occurred at approximately 10^{−5} s after the Big Bang to convert a plasma of free quarks and gluons into hadrons. Although this transition can be of significant cosmological importance, it is not known with certainty whether it is of first order or higher, and what the astrophysical consequences might be on the subsequent state of the Universe. For example, the transition may play a potentially observable role in the generation of primordial magnetic fields. The QCD transition may also give rise to important baryon number inhomogeneities which can affect the distribution of light element abundances from primordial Big Bang nucleosynthesis. The distribution of baryons may be influenced hydrodynamically by the competing effects of phase mixing and phase separation, which arise from any inherent instability of the interface surfaces separating regions of different phase. Unstable modes, if they exist, will distort phase boundaries and induce mixing and diffusive homogenization through hydrodynamic turbulence [102, 112, 95, 4, 137].
In an effort to support and expand theoretical studies, a number of onedimensional numerical simulations have been carried out to explore the behavior of growing hadron bubbles and decaying quark droplets in simplified and isolated geometries. For example, Rezolla et al. [138] considered a first order phase transition and the nucleation of hadronic bubbles in a supercooled quarkgluon plasma, solving the relativistic Lagrangian equations for disconnected and evaporating quark regions during the final stages of the phase transition. They investigated numerically a single isolated quark drop with an initial radius large enough so that surface effects can be neglected. The droplet evolves as a selfsimilar solution until it evaporates to a sufficiently small radius that surface effects break the similarity solution and increase the evaporation rate. Their simulations indicate that, in neglecting longrange energy and momentum transfer (by electromagnetically interacting particles) and assuming that baryon number is transported with the hydrodynamical flux, the baryon number concentration is similar to what is predicted by chemical equilibrium calculations.
KurkiSuonio and Laine [108] studied the growth of bubbles and the decay of droplets using a onedimensional spherically symmetric code that accounts for a phenomenological model of the microscopic entropy generated at the phase transition surface. Incorporating the small scale effects of finite wall width and surface tension, but neglecting entropy and baryon flow through the droplet wall, they simulate the process by which nucleating bubbles grow and evolve to a similarity solution. They also compute the evaporation of quark droplets as they deviate from similarity solutions at late times due to surface tension and wall effects.
Ignatius et al. [96] carried out parameter studies of bubble growth for both the QCD and electroweak transitions in planar symmetry, demonstrating that hadron bubbles reach a stationary similarity state after a short time when bubbles grow at constant velocity. They investigated the stationary state using numerical and analytic methods, accounting also for preheating caused by shock fronts.
However, Fragile and Anninos also note a deflagration ‘instability’ or acceleration mechanism evident in their third case for which they assume an initial thermal discontinuity in space separating different regions of nucleating hadron bubbles. The passage of a rarefaction wave (generated at the thermal discontinuity) through a slowly propagating deflagration can significantly accelerate the condensation process, suggesting that the dominant modes of condensation in an early Universe which supercools at different rates within causally connected domains may be through supersonic detonations or fast moving (nearly sonic) deflagrations. A similar speculation was made by Kamionkowski and Freese [102] who suggested that deflagrations become unstable to perturbations and are converted to detonations by turbulent surface distortion effects. However, in the simulations, deflagrations are accelerated not from turbulent mixing and surface distortion, but from enhanced supercooling by rarefaction waves. In multidimensions, the acceleration mechanism can be exaggerated further by upwind phase mergers due to transverse flow, surface distortion, and mode dissipation effects, a combination that may result in supersonic front propagation speeds, even if the nucleation process began as a slowly propagating deflagration.
3.5 Nucleosynthesis
Observations of the light elements produced during Big Bang nucleosynthesis following the quark hadron phase transition (roughly 102102 s after the Big Bang) are in good agreement with the standard model of our Universe (see Section 2.2). However, it is interesting to investigate other more general models to assert the role of shear and curvature on the nucleosynthesis process, and place limits on deviations from the standard model.
Rothman and Matzner [140] considered primordial nucleosynthesis in anisotropic cosmologies, solving the strong reaction equations leading to ^{4}He. They find that the concentration of ^{4}He increases with increasing shear due to time scale effects and the competition between dissipation and enhanced reaction rates from photon heating and neutrino blue shifts. Their results have been used to place a limit on anisotropy at the epoch of nucleosynthesis. KurkiSuonio and Matzner [109] extended this work to include 30 strong 2particle reactions involving nuclei with mass numbers A ≤ 7, and to demonstrate the effects of anisotropy on the cosmologically significant isotopes ^{2}H, ^{3}He, ^{4}He and ^{7}Li as a function of the baryon to photon ratio. They conclude that the effect of anisotropy on ^{2}H and ^{3}He is not significant, and the abundances of ^{4}He and ^{7}Li increase with anisotropy in accord with [140].
Furthermore, it is possible that neutron diffusion, the process whereby neutrons diffuse out from regions of very high baryon density just before nucleosynthesis, can affect the neutron to proton ratio in such a way as to enhance deuterium and reduce ^{4}He compared to a homogeneous model. However, plane symmetric, general relativistic simulations with neutron diffusion [110] show that the neutrons diffuse back into the high density regions once nucleosynthesis begins there  thereby wiping out the effect. As a result, although inhomogeneities influence the element abundances, they do so at a much smaller degree then previously speculated. The numerical simulations also demonstrate that, because of the back diffusion, a cosmological model with a critical baryon density cannot be made consistent with helium and deuterium observations, even with substantial baryon inhomogeneities and the anticipated neutron diffusion effect.
3.6 Cosmological gravitational waves
Gravitational waves are an inevitable product of the Einstein equations, and one can expect a wide spectrum of wave signals propagating throughout our Universe due to anisotropic and inhomogeneous metric and matter fluctuations, collapsing matter structures, ringing black holes, and colliding neutron stars, for example. The discussion here is restricted to the pure vacuum field dynamics and the fundamental nonlinear behavior of gravitational waves in numerically generated cosmological spacetimes.
3.6.1 Planar symmetry
Centrella and Matzner [57, 58] studied a class of plane symmetric cosmologies representing gravitational inhomogeneities in the form of shocks or discontinuities separating two vacuum expanding Kasner cosmologies (2). By a suitable choice of parameters, the constraint equations can be satisfied at the initial time with a Euclidean 3surface and an algebraic matching of parameters across the different Kasner regions that gives rise to a discontinuous extrinsic curvature tensor. They performed both numerical calculations and analytical estimates using a Green’s function analysis to establish and verify (despite the numerical difficulties in evolving discontinuous data) certain aspects of the solutions, including gravitational wave interactions, the formation of tails, and the singularity behavior of colliding waves in expanding vacuum cosmologies.
Shortly thereafter, Centrella and Wilson [59, 60] developed a polarized plane symmetric code for cosmology, adding also hydrodynamic sources with artificial viscosity methods for shock capturing and Barton’s method for monotonic transport [162]. The evolutions are fully constrained (solving both the momentum and Hamiltonian constraints at each time step) and use the mean curvature slicing condition. This work was subsequently extended by Anninos et al. [9, 11, 7], implementing more robust numerical methods, an improved parametric treatment of the initial value problem, and generic unpolarized metrics.
In applications of these codes, Centrella [61] investigated nonlinear gravitational waves in Minkowski space and compared the full numerical solutions against a first order perturbation solution to benchmark certain numerical issues such as numerical damping and dispersion. A second order perturbation analysis was used to model the transition into the nonlinear regime. Anninos et al. [10] considered small and large perturbations in the two degenerate Kasner models: p_{1} = p_{3} = 0 or 2/3, and p_{2} = 1 or −1/3, respectively, where p2 are parameters in the Kasner metric (2). Carrying out a second order perturbation expansion and computing the NewmanPenrose (NP) scalars, Riemann invariants and BelRobinson vector, they demonstrated, for their particular class of spacetimes, that the nonlinear behavior is in the Coulomb (or background) part represented by the leading order term in the NP scalar Ψ_{2}, and not in the gravitational wave component. For standingwave perturbations, the dominant second order effects in their variables are an enhanced monotonic increase in the background expansion rate, and the generation of oscillatory behavior in the background spacetime with frequencies equal to the harmonics of the first order standingwave solution.
Expanding these investigations of the Coulomb nonlinearity, Anninos and McKinney [16] used a gauge invariant perturbation formalism to construct constrained initial data for general relativistic cosmological sheets formed from the gravitational collapse of an ideal gas in a critically closed FLRW “background” model. They compared results to the Newtonian Zel’dovich [165] solution over a broad range of field strengths and flows, and showed that the enhanced growth rates of nonlinear modes (in both the gas density and Riemann curvature invariants) accelerate the collapse process significantly compared to Newtonian and perturbation theory. They also computed the backreaction of these structures to the mean cosmological expansion rate and found only a small effect, even for cases with long wavelengths and large amplitudes. These structures were determined to produce timedependent gravitational potential signatures in the CMBR (essentially fully relativistic ReesSciama effects) comparable to, but still dominated by, the large scale SachsWolfe anisotropies. This confirmed, and is consistent with, the assumptions built into Newtonian calculations of this effect.
3.6.2 Multidimensional vacuum cosmologies
Two additional examples of general relativistic codes developed for the purpose of investigating dynamical behaviors in nonflat, vacuum, cosmological topologies are attributed to Holcomb [91] and Ove [129]. Holcomb considered vacuum axisymmetric models to study the structure of General Relativity and the properties of gravitational waves in nonasymptotically flat spacetimes. The code was based on the ADM 3 + 1 formalism and used Kasner matching conditions at the outer edges of the mesh, mean curvature slicing, and a shift vector to enforce the isothermal gauge in order to simplify the metric and to put it in a form that resembles quasiisotropic coordinates. However, a numerical instability was observed in cases where the mesh domain exceeded the horizon size. This was attributed to the particular gauge chosen, which does not appear wellsuited to the Kasner metric as it results in superluminal coordinate velocities beyond the horizon scale.
Ove developed an independent code based on the ADM formalism to study cosmic censorship issues, including the nature of singular behavior allowed by the Einstein equations, the role of symmetry in the creation of singularities, the stability of Cauchy horizons, and whether black holes or a ring singularity can be formed by the collision of strong gravitational waves. Ove adopted periodic boundary conditions with 3torus topology and a single Killing field, and therefore generalizes to two dimensions the planar codes discussed in the previous section. This code also used a variant of constant mean curvature slicing, was fully constrained at each time cycle, and the shift vector was chosen to put the metric into a (timedependent) conformally flat form at each spatial hypersurface.
4 Physical Cosmology
The phrase “physical cosmology” is generally associated with the large (galaxy and cluster) scale structure of the postrecombination epoch where gravitational effects are modeled approximately by Newtonian physics on an uniformly expanding, matter dominated FLRW background. A discussion of the large scale structure is included in this review since any viable model of our Universe which allows a regime where strongly general relativistic effects are important must match onto the weakly relativistic (or Newtonian) regime. Also, since certain aspects of this regime are directly observable, one can hope to constrain or rule out various cosmological models and/or parameters, including the density (Ω_{0}), Hubble (H_{0} = 100 h km s^{−1} Mpc^{−1}), and cosmological (A) constants.
Due to the vast body of literature on numerical simulations dealing with the postrecombination epoch, only a very small fraction of published work can be reviewed in this paper. Hence, the following summary is limited to cover just a few aspects of computational physical cosmology, and in particular those that can potentially be used to discriminate between cosmological model parameters, even within the realm of the standard model.
For a general overview of theoretical and observational issues associated with structure formation, the reader is referred to [132, 131], and to [45] for a broad review of numerical simulations (and methods) of structure formation.
4.1 Cosmic microwave background
The Cosmic Microwave Background Radiation (CMBR) is a direct relic of the early Universe, and currently provides the deepest probe of evolving cosmological structures. Although the CMBR is primarily a uniform black body spectrum throughout all space, fluctuations or anisotropies in the spectrum can be observed at very small levels to correlate with the matter density distribution. Comparisons between observations and simulations generally support the mostly isotropic, standard Big Bang model, and can be used to constrain the various proposed matter evolution scenarios and cosmological parameters. For example, sky survey satellite observations [34, 149] suggest a flat Adominated Universe with scaleinvariant Gaussian fluctuations that is consistent with numerical simulations of large sale structure formation (e.g., galaxy clusters, Lya forest).
4.1.1 Primordial black body effects

Compton scattering in which photons transfer their momentum and energy to electrons if they have significant energy in the electron’s rest frame. This is approximated by Thomson scattering if the photon’s energy is much less than the rest mass. Inverse Compton scattering is also possible in which sufficiently energetic (relativistic) electrons can blueshift photons.

Double Compton scattering can both produce and absorb photons, and thus is able to thermalize photons to a Planck spectrum (unlike Compton scattering which conserves photon number, and, although it preserves a Planck spectrum, relaxes to a BoseEinstein distribution).

Bremsstrahlung emission of electromagnetic radiation due to the acceleration of electrons in the vicinity of ions. This also occurs in reverse (freefree absorption) since charged particles can absorb photons. In contrast to Coulomb scattering, which maintains thermal equilibrium among baryons without affecting photons, Bremsstrahlung tends to relax photons to a Planck distribution.
Although the CMBR is a unique and deep probe of both the thermal history of the early Universe and primordial perturbations in the matter distribution, the associated anisotropies are not exclusively primordial in nature. Important modifications to the CMBR spectrum, from both primary and secondary components, can arise from large scale coherent structures, even well after the photons decouple from the matter at redshift z ∼ 10^{3}, due to gravitational redshifting, lensing, and scattering effects.
4.1.2 Primary anisotropies

SachsWolfe (SW) effect: Gravitational redshift of photons between potentials at the SoLS and the present. It is the dominant effect at large angular scales comparable to the horizon size at decoupling (θ ∼ 2° Ω^{1}/^{2}).

Doppler effect: Dipolar patterns are imprinted in the energy distribution from the peculiar velocities of the matter structures acting as the last scatterers of the photons.

Acoustic peaks: Anisotropies at intermediate angular scales (0.1° < 0 < 2°) are atttributed to small scale processes occurring until decoupling, including acoustic oscillations of the baryonphoton fluid from primordial density inhomogeneities. This gives rise to acoustic peaks in the thermal spectrum representing the sound horizon scale at decoupling.

SoLS damping: The electron capture rate is only slightly faster than photodissociation at the start of decoupling, causing the SoLS to have a finite thickness (Δz ∼ 100). Scattering over this interval damps fluctuations on scales smaller than the SoLS depth (θ < 10′ Ω^{1/2}).

Silk damping: Photons can diffuse out of overdense regions, dragging baryons with them over small angular scales. This tends to suppress both density and radiation fluctuations.
All of these mechanisms perturb the black body background radiation since thermalization processes are not efficient at redshifts smaller than ∼ 10^{7}.
4.1.3 Secondary anisotropies

Early ISW effect: Photon contributions to the energy density of the Universe may be nonnegligible compared to ordinary matter (dark or baryonic) at the last scattering. The decreasing contribution of photons in time results in a decay of the potential, producing the early Integrated SachsWolfe (ISW) effect.

Late ISW effect: In open cosmological models or models with a cosmological constant, the gravitational potential decays at late times due to a greater rate of expansion compared to flat spacetimes, producing the late ISW effect on large angular scales.

ReesSciama effect: Evolving nonlinear strucutures (e.g., galaxies and clusters) generate timevarying potentials which can seed asymmetric energy shifts in photons crossing potential wells from the SoLS to the present.

Lensing: In contrast to ISW effects which change the energy but not directions of the photons, gravitational lensing deflects the paths without changing the energy. This effectively smears out the imaging of the SoLS.

Proper motion: Compact objects such as galaxy clusters can imprint a dipolar pattern in the CMB as they move across the sky.

Gravitational waves: Perturbations in the spacetime fabric affect photon paths, energies, and polarizations, predominantly at scales larger than the horizon at decoupling.

Thomson scattering: Photons are scattered by free electrons at sufficiently large optical depths achieved when the Universe undergoes a global reionization at late times. This damps out fluctuations since energies are averaged over different directions in space.

Vishniac effect: In a reionized Universe, high order coupling between the bulk flow of electrons and their density fluctuations generates new anisotropies at small angles.

Thermal SunyaevZel’dovich effect: Inverse Compton scattering of the CMB by hot electrons in the intracluster gas of a cluster of galaxies distorts the black body spectrum of the CMB. Low frequency photons will be shifted to high frequencies.

Kinetic SunyaevZel’dovich effect: The peculiar velocities of clusters produces anisotropies via a Doppler effect to shift the temperature without distorting the spectral form. Its effect is proportional to the product of velocity and optical depth.

Polarization: Scattering of anisotropic radiation affects polarization due to the angular dependence of scattering. Polarization in turn affects anisotropies through a similar dependency and tends to damp anisotropies.
To make meaningful comparisons between numerical models and observed data, all of these (low and high order) effects from both the primary and secondary contributions (see for example Section 4.1.4 and [94, 101]) must be incorporated selfconsistently into any numerical model, and to high accuracy in order to resolve and distinguish amongst the various weak signals. The following sections describe some work focused on incorporating many of these effects into a variety of largescale numerical cosmological models.
4.1.4 Computing CMBR anisotropies with raytracing methods
Many efforts based on linear perturbation theory have been carried out to estimate temperature anisotropies in our Universe (for example see [114] and references cited in [131, 94]). Although such linearized approaches yield reasonable results, they are not wellsuited to discussing the expected imaging of the developing nonlinear structures in the microwave background. Also, because photons are intrinsically coupled to the baryon and dark matter thermal and gravitational states at all spatial scales, a fully selfconsistent treatment is needed to accurately resolve the more subtle features of the CMBR. This can be achieved with a raytracing approach based on MonteCarlo methods to track individual photons and their interactions through the evolving matter distributions. A fairly complete simulation involves solving the geodesic equations of motion for the collisionless dark matter which dominate potential interactions, the hydrodynamic equations for baryonic matter with high Mach number shock capturing capability, the transport equations for photon trajectories, a reionization model to reheat the Universe at late times, the chemical kinetics equations for the ion and electron concentrations of the dominant hydrogen and helium gases, and the photonmatter interaction terms describing scattering, redshifting, depletion, lensing, and Doppler effects.
Such an approach has been developed by Anninos et al. [15], and applied to a Hot Dark Matter (HDM) model of structure formation. In order to match both the observed galaxygalaxy correlation function and LOBE measurements of the CMBR, they find, for that model and neglecting reionization, the cosmological parameters are severely constrained to Ω_{2}h^{2} ≈ 1, where Ω_{0} and h are the density and Hubble parameters respectively.
In addition to the effects discussed in this section, many other sources of secondary anisotropies (as mentioned in Section 4.1, including gravitational lensing, the Vishniac effect accounting for matter velocities and flows into local potential wells, and the SunyaevZel’dovich (SZ) (Section 4.5.4) distortions from the Compton scattering of CMB photons by electrons in the hot cluster medium) can also be fairly significant. See [94, 152, 28, 80, 93] for more thorough discussions of the different sources of CMBR anisotropies.
4.2 Gravitational lensing
Observations of gravitational lenses [143] provide measures of the abundance and strength of nonlinear potential fluctuations along the lines of sight to distant objects. Since these calculations are sensitive to the gravitational potential, they may be more reliable than galaxy and velocity field measurements as they are not subject to the same ambiguities associated with biasing effects. Also, because different cosmological models predict different mass distributions, especially at the higher redshifts, lensing calculations can potentially be used to confirm or discard competing cosmological models.
As an alternative to solving the computationally demanding lens equations, Cen et al. [55] developed an efficient scheme to identify regions with surface densities capable of generating multiple images accurately for splittings larger than three arcseconds. They applied this technique to a standard CDM model with Ω_{0} = 1, and found that this model predicts more large angle splittings (> 8″) than are known to exist in the observed Universe. Their results suggest that the standard CDM model should be excluded as a viable model of our Universe. A similar analysis for a flat low density CDM model with a cosmological constant (Ω_{0} = 0.3, Λ/3H _{0} ^{2} = 0.7) suggests a lower and perhaps acceptable number of lensing events. However, an uncertainty in their studies is the nature of the lenses at and below the resolution of the numerical grid. They model the lensing structures as simplified Singular Isothermal Spheres (SIS) with no distinctive cores.
Large angle splittings are generally attributed to larger structures such as clusters of galaxies, and there are indications that clusters have small but finite core radii more r_{core} ∼ 20–30h^{−1} kpc. Core radii of this size can have an important effect on the probability of multiple imaging. Flores and Primack [74] considered the effects of assuming two different kinds of splitting sources: isothermal spheres with small but finite core radii and radial density profiles ρ ∝ (r^{2} + r _{core} ^{2} )^{−1}, and spheres with a Hernquist density profile ρ ∝ r^{−1} (r + a)^{−3}, where r_{core} ∼ 20–30 h^{−1} kpc and a ∼ 300 h^{−1} kpc. They find that the computed frequency of largeangle splittings, when using the nonsingular profiles, can potentially decrease by more than an order of magnitude relative to the SIS case and can bring the standard CDM model into better agreement with observations. They stress that lensing events are sensitive to both the cosmological model (essentially the number density of lenses) and to the inner lens structure, making it difficult to probe the models until the structure of the lenses, both observationally and numerically, is better known.
4.3 First star formation
In CDM cosmogonies, the fluctuation spectrum at small wavelengths has a logarithmic dependence at mass scales smaller than 108 solar masses, which indicates that all small scale fluctuations in this model collapse nearly simultaneously in time. This leads to very complex dynamics during the formation of these first structures. Furthermore, the cooling in these fluctuations is dominated by the rotational/vibrational modes of hydrogen molecules that were able to form using the free electrons left over from recombination and those produced by strong shock waves as catalysts. The first structures to collapse may be capable of producing pop III stars and have a substantial influence on the subsequent thermal evolution of the intergalactic medium, as suggested by Figure 2, due to the radiation emitted by the first generation stars as well as supernova driven winds. To know the subsequent fate of the Universe and which structures will survive or be destroyed by the UV background, it is first necessary to know when and how the first stars formed.
Ostriker and Gnedin [127] have carried out high resolution numerical simulations of the reheating and reionization of the Universe due to star formation bursts triggered by molecular hydrogen cooling. Accounting for the chemistry of the primeval hydrogen/helium plasma, selfshielding of the gas, radiative cooling, and a phenomenological model of star formation, they find that two distinct star populations form: the first generation pop III from H_{2} cooling prior to reheating at redshift z ≥ 14; and the second generation pop II at z < 10 when the virial temperature of the gas clumps reaches 10^{4} K and hydrogen line cooling becomes efficient. Star formation slows in the intermittent epoch due to the depletion of H_{2} by photodestruction and reheating. In addition, the objects which formed pop III stars also initiate pop II sequences when their virial temperatures reach 10^{4} K through continued mass accretion.
In resolving the details of a single star forming region in a CDM Universe, Abel et al. [2, 3] implemented a nonequilibrium radiative cooling and chemistry model [1, 21] together with the hydrodynamics and dark matter equations, evolving nine separate atomic and molecular species (H, H^{+}, He, He^{+}, He^{++}, H^{}, H _{2} ^{} , H_{2}, and e^{}, according to the reactive network described in Section 6.4.1) on nested and adaptively refined numerical grids. They follow the collapse and fragmentation of primordial clouds over many decades in mass and spatial dynamical range, finding a core of mass ∼ 200 M_{⊙} forms from a halo of about ∼ 10^{5} M_{⊙} (where a significant number fraction of hydrogen molecules are created) after less than one percent of the halo gas cools by molecular line emission. Bromm et al. [48] use a different Smoothed Particle Hydrodynamics (SPH) technique and a six species model (H, H^{+}, H^{}, H _{2} ^{+} , H_{2}, and e^{}) to investigate the initial mass function of the first generation pop III stars. They evolve an isolated 3σ peak of mass 2 × 10^{6}M_{⊙} which collapses at redshift z ∼ 30 and forms clumps of mass 10^{2} – 10^{3} M_{⊙} which then grow by accretion and merging, suggesting that the very first stars were massive and in agreement with [3].
The implications of an early era of massive star populations on the thermal and chemical state of the intergalactic medium was investigated by Yoshida et al. [164]. They considered the effects of feedback and radiation transfer in early structure formation simulations to show that a significant fraction of the IGM can be ionized and polluted by metals from the first stars to form and become supernovae by z ∼ 15, thus affecting subsequent stellar populations. They also argue that observed elemental abundances in the intracluster medium are not affected by metals originating from the first stars.
4.4 Lyα forest
The Lyα forest represents the optically thin (at the Lyman edge) component of Quasar Absorption Systems (QAS), a collection of absorption features in quasar spectra extending back to high redshifts. QAS are effective probes of the matter distribution and the physical state of the Universe at early epochs when structures such as galaxies are still forming and evolving. The relative lack of constraining observational data at the intermediate to high redshifts (0 < z < 5), where differences between competing cosmological models are more pronounced, suggests that QAS can potentially yield valuable and discriminating observational data.
Many complex multicomponent numerical simulations have been performed of the Lyman forest, which include the effects of dark matter (Nbody), baryons (hydrodynamics), chemical composition (reactive networks), and microphysical response (radiative cooling and heating). See, for example, [67, 118, 166], which represent some of the earliest comprehensive simulations. For the most part, all these calculations have been able to fit the observations reasonably well, including the column density and Doppler width distributions, the size of absorbers [62], and the line Number evolution. Despite the fact that the cosmological models and parameters are different in each case, the simulations give roughly similar results provided that the proper ionization bias is used, b_{ion} ≡ (Ω_{b}h^{2})^{2}/Γ, where Ω_{b} is the baryonic density parameter, h is the Hubble parameter and Γ is the photoionization rate at the hydrogen Lyman edge. (However, see [50] for a discussion of the sensitivity of statistical properties on numerical resolution.) A theoretical paradigm has thus emerged from these calculations in which Lya absorption lines originate from the relatively smaller scale structure in pregalactic or intergalactic gas through the bottomup hierarchical formation picture in CDMlike Universes. The absorption features originate in structures exhibiting a variety of morphologies commonly found in numerical simulations (see Figure 11), including fluctuations in underdense regions, spheroidal minihalos, and filaments extending over scales of a few Mpc.
Machacek et al. [115] expanded on earlier work to compare several Lya statistical measures from five different background cosmological models, including standard critical density Cold Dark Matter (CDM), open CDM, flat CDM with a cosmological constant, standard CDM with a tilted density spectrum, and a flat model with mixed hot and cold dark matter. All models were chosen to match local or low redshift observations, and most were also consistent with LOBE measurements of the CMBR. The calculations were designed to establish which statistics are sensitive to different cosmological models. In particular, they find that the line number count above a given column density threshold is relatively insensitive to background models. On the other hand, the shape of the optical depth probability distribution function is strongly correlated to the amount of small scale power in density fluctuations, and is thus a good discriminator among models on scales of a few hundred kpc.
Meiksin et al. [117] followed up with more detailed comparisons of Lyα systems in several cosmologies with observed high resolution QSO spectra. Although all models are consistent with previous studies in that they give reasonably good statistical agreement with observed Lya properties, under closer scrutiny none of the numerical models they considered passed all the tests, which included spectral flux, wavelet decomposed amplitude, and absorption line profile distributions. They suggest that comparisons might be improved, particularly in optically thin systems, by more energy injection into the IGM from late He^{+} reionization or supernovaedriven winds, or by a larger baryon fraction.
4.5 Galaxy clusters
Clusters of galaxies are the largest gravitationally bound systems known to be in quasiequilibrium. This allows for reliable estimates to be made of their mass as well as their dynamical and thermal attributes. The richest clusters, arising from 3σ density fluctuations, can be as massive as 10^{14}–10^{15} M_{⊙}, and the environment in these structures is composed of shock heated gas with temperatures of order 10^{7}mbox — −10^{8} K which emits thermal bremsstrahlung and line radiation at Xray energies. Also, because of their spatial size of ∼ 1 h^{1} Mpc and separations of order 50 h^{1} Mpc, they provide a measure of nonlinearity on scales close to the perturbation normalization scale 8 h^{1} Mpc. Observations of the substructure, distribution, luminosity, and evolution of galaxy clusters are therefore likely to provide signatures of the underlying cosmology of our Universe, and can be used as cosmological probes in the observable redshift range 0 ≤ z ≤ 1.
4.5.1 Internal structure
4.5.2 Number density evolution
The evolution of the number density of rich clusters of galaxies can be used to compute Ω_{0} and σ_{8} (the power spectrum normalization on scales of 8 h^{1} Mpc) when numerical simulation results are combined with the constraint σ_{8}Ω _{0} ^{0.5} ≈ 0.5, derived from observed presentday abundances of rich clusters. Bahcall et al. [24] computed the evolution of the cluster mass function in five different cosmological model simulations and find that the number of high mass (Comalike) clusters in flat, low as models (i.e., the standard CDM model with σ_{8} ≈ 0.5) decreases dramatically by a factor of approximately 10^{3} from z = 0 to z ≈ 0.5. For low Ω_{0}, high σ_{8} models, the data result in a much slower decrease in the number density of clusters over the same redshift interval. Comparing these results to observations of rich clusters in the real Universe, which indicate only a slight evolution of cluster abundances to redshifts z ≈ 0.5–1, they conclude that critically closed standard CDM and Mixed Dark Matter (MDM) models are not consistent with the observed data. The models which best fit the data are the open models with low bias (Ω_{0} = 0.3 ± 0.1 and σ_{8} = 0.85 ± 0.5), and flat low density models with a cosmological constant (Ω_{0} = 0.34 ± 0.13 and Ω_{0} + Λ = 1).
4.5.3 Xray luminosity function
The evolution of the Xray luminosity function, as well as the number, size and temperature distribution of galaxy clusters are all potentially important discriminants of cosmological models and the underlying initial density power spectrum that gives rise to these structures. Because the Xray luminosity (principally due to thermal bremsstrahlung emission from electron/ion interactions in the hot fully ionized cluster medium) is proportional to the square of the gas density, the contrast between cluster and background intensities is large enough to provide a window of observations that is especially sensitive to cluster structure. Comparisons of simulated and observed Xray functions may be used to deduce the amplitude and shape of the fluctuation spectrum, the mean density of the Universe, the mass fraction of baryons, the structure formation model, and the background cosmological model.
Several groups [49, 56] have examined the properties of Xray clusters in high resolution numerical simulations of a standard CDM model normalized to LOBE. Although the results are very sensitive to grid resolution (see [17] for a discussion of the effects from resolution constraints on the properties of rich clusters), their primary conclusion, that the standard CDM model predicts too many bright Xray emitting clusters and too much integrated Xray intensity, is robust since an increase in resolution will only exaggerate these problems. On the other hand, similar calculations with different cosmological models [56, 52] suggest reasonable agreement of observed data with Cold Dark Matter + cosmological constant (ACDM), Cold + Hot Dark Matter (CHDM), and Open or low density CDM (OCDM) evolutions due to different universal expansions and density power spectra.
4.5.4 SZ effect
Springel et al. [150] used a Tree/SPH code to study the SZ effects in a CDM cosmology with a cosmological constant. They find a mean amplitude for thermal SZ (y = 3.8 × 10^{6}) just below current observed upper limits, and a kinetic SZ about 30 times smaller in power. Da Silva et al. [66] compared thermal SZ maps in three different cosmologies (low density + Λ, critical density, and low density open model). Their results are also below current limits: y ≈ 4 × 10^{6} for low density models with contributions from over a broad redshift range z ≤ 5, and y ≈ 1 × 10^{6} for the critical density model with contributions mostly from z < 1. However, further simulations are needed to explore the dependence of the SZ effect on microphysics, i.e., cooling, star formation, supernovae feedback.
4.6 Cosmological sheets
Cosmological sheets, or pancakes, form as overdense regions collapse preferentially along one axis. Originally studied by Zel’dovich [165] in the context of neutrinodominated cosmologies, sheets are ubiquitous features in nonlinear structure formation simulations of CDMlike models with baryonic fluid, and manifest on a spectrum of length scales and formation epochs. Gas collapses gravitationally into flattened sheet structures, forming two plane parallel shock fronts that propagate in opposite directions, heating the infalling gas. The heated gas between the shocks then cools radiatively and condenses into galactic structures. Sheets are characterized by essentially five distinct components: the preshock inflow, the postshock heated gas, the strongly cooling/recombination front separating the hot gas from the cold, the cooled postshocked gas, and the unshocked adiabatically compressed gas at the center. Several numerical calculations [47, 145, 22] have been performed of these systems which include baryonic fluid with hydrodynamical shock heating, ionization, recombination, dark matter, thermal conductivity, and radiative cooling (Compton, bremsstrahlung, and atomic line cooling), in both one and two spatial dimensions to assert the significance of each physical process and to compute the fragmentation scale. See also [16] where fully general relativistic numerical calculations of cosmological sheets are presented in plane symmetry, including relativistic hydrodynamical shock heating and consistent coupling to spacetime curvature.
However, the above calculations neglected important interactions arising from selfconsistent treatments of radiation fields with ionizing and photodissociating photons and selfshielding effects. Susa and Umemura [153] studied the thermal history and hydrodynamical collapse of pancakes in a UV background radiation field. They solve the radiative transfer of photons together with the hydrodynamics and chemistry of atomic and molecular hydrogen species. Although their simulations were restricted to onedimensional plane parallel symmetry, they suggest a classification scheme distinguishing different dynamical behavior and galaxy formation scenarios based on the UV background radiation level and a critical mass corresponding to 1 – 2σ density fluctuations in a standard CDM cosmology. These level parameters distinguish galaxy formation scenarios as they determine the local thermodynamics, the rate of H_{2} line emissions and cooling, the amount of starburst activity, and the rate and mechanism of cloud collapse.
5 Summary
This review is intended to provide a flavor of the variety of numerical cosmological calculations performed of different events occurring throughout the history of our Universe. The topics discussed range from the strong field dynamical behavior of spacetime geometry at early times near the Big Bang singularity and the epoch of inflation, to the late time evolution of large scale matter fluctuations and the formation of clusters of galaxies. For the most part, the nature of the calculations dealing with the early or late Universe can be distinguished by their basic motivations. For example, calculations of early Universe phenomena are designed to explore alternative cosmological models or topologies, and in some cases, different theories of gravity. They also tend to study the nature of topological singularities, geometric effects, and the problem of initial conditions or the origin of matter distributions. Calculations of the late Universe are generally focused to establish bounds on cosmological parameters in the context of the standard model, to resolve the correct structure formation scenario, to model the complex multiphysics interactions operating at vastly different scales, and to systematically compare invariant measures against observed data for both model validation and interpreting observations.
Although a complete, selfconsistent, and accurate description of our Universe is impractical considering the complex multiscale and multiphysics requirements, a number of enlightening results have been demonstrated through computations. For example, both monotonic AVTD and chaotic oscillatory BLK behavior have been found in the asymptotic approach to the initial singularity in a number of inhomogeneous cosmological models, though some issues remain concerning the generic nature of the singularity, including the effect of nonlinear mode coupling of spatial gradients to the oscillatory history, and the behavior in nonvacuum spacetimes with arbitrary global topology. Numerical calculations suggest that scalar fields play an important complicated role in the nonlinear or chaotic evolution of cosmological models with consequences for the triggering (or not) of inflation and the subsequent dynamics of structure formation. It is possible, for example, that these fields can influence the details of inflation and have observable ramifications as fractal patterns in the density spectrum, gravitational waves, galaxy distribution, and cosmic microwave background anisotropies. All these effects require further studies. Numerical simulations have also been used to place limits on curvature anisotropies and cosmological parameters at early times by considering primordial nucleosynthesis reactions in anisotropic and inhomogeneous cosmologies.
Finally, the large collection of calculations performed of the postrecombination epoch related to large scale structure formation (for example, cosmic microwave background, gravitational lensing, Lyα absorption, and galaxy cluster simulations) have placed strong constraints on the standard model parameters and structure formation scenarios when compared to observations. Considering the range of models consistent with inflation, the preponderance of observational, theoretical and computational data suggest a best fit model of the late structureforming Universe that is spatially flat with a cosmological constant and a small tilt in the power spectrum. These best fit model parameters, and in particular the introduction of a cosmological constant, are generally consistent with recent evidence of dark energy from supernovae and high precision CMBR observations.
Obviously many fundamental issues remain unresolved, including even the overall shape or topology of the cosmological model which best describes our Universe throughout its entire history. However, the field of numerical cosmology has matured in the development of computational techniques, the modeling of microphysics, and in taking advantage of current trends in computing technologies, to the point that it is now possible to perform high resolution multiphysics simulations and carry out reliable comparisons of numerical models with observational data.
6 Appendix: Basic Equations and Numerical Methods
Some basic equations relevant for fully relativistic as well as perturbative cosmological calculations are summarized in this section, including the complete Einstein equations, choices of kinematical conditions, initial data constraints, stressenergymomentum tensors, dynamical equations for various matter sources, and the Newtonian counterparts on background isotropic models. References to numerical methods are also provided.
6.1 The Einstein equations
6.1.1 ADM formalism
It is worth noting that several alternative formulations of Einstein’s equations have been suggested, including hyperbolic systems [136] which have nice mathematical properties, and conformal traceless systems [147, 31] which make use of a conformal decomposition of the 3metric and trace free part of the extrinsic curvature A_{ij} = K_{ij}  γ_{ij} K/3. Introducing \({\tilde \gamma _{ij}} = {e^{  4\psi }}{\gamma _{ij}}\) with e^{4ψ} γ^{1/3} so that the determinant of \({\tilde \gamma _{ij}}\) is unity, and \({\tilde A_{ij}} = {e^{  4\psi }}{A_{ij}}\), evolution equations can be written in the conformal traceless system for \(\psi ,{\tilde \gamma _j},K,{\tilde A_{ij}}\) and the conformal connection functions, though not all of these variables are independent. However, it is not yet entirely clear which of these methods is best suited for generic problems. For example, hyperbolic forms are easier to characterize mathematically than ADM and may potentially be more stable, but can suffer from greater inaccuracies by introducing additional equations or higher order derivatives. Conformal treatments are considered to be generally more stable [31], but can be less accurate than traditional ADM for short term evolutions [6].
Many numerical methods have been used to solve the Einstein equations, including variants of the leapfrog scheme, the method of McCormack, the twostep LaxWendroff method, and the iterative CrankNicholson scheme, among others. For a discussion and comparison of the different methods, the reader is referred to [43], where a systematic study was carried out on spherically symmetric black hole spacetimes using traditional ADM, and to [31, 6, 13] (and references therein) which discuss the stability and accuracy of hyperbolic and conformal treatments.
6.1.2 Kinematic conditions
For cosmological simulations, one typically takes the shift vector to be zero, hence \({\mathcal{L}_\beta }{\gamma _{ij}} = {\mathcal{L}_\beta }{K_{ij}} = 0\). However, the shift can be used advantageously in deriving conditions to maintain the 3metric in a particular form, and to simplify the resulting differential equations [59, 60]. See also [146] describing an approximate minimum distortion gauge condition used to help stabilize simulations of general relativistic binary clusters and neutron stars.
6.1.3 Symplectic formalism
Symplectic integration methods are applicable to other spacetimes. For example, Berger et al. [39] developed a variation of this approach to explicitly take advantage of exact solutions for scattering between Kasner epochs in Mixmaster models. Their algorithm evolves Mixmaster spacetimes more accurately with larger time steps than previous methods.
6.1.4 Regge calculus model
A unique approach to numerical cosmology (and numerical relativity in general) is the method of Regge Calculus in which spacetime is represented as a complex of 4dimensional, geometrically flat simplices. The principles of Einstein’s theory are applied directly to the simplicial geometry to form the curvature, action, and field equations, in contrast to the finite difference approach where the continuum field equations are differenced on a discrete mesh.
A 3dimensional code implementing Regge Calculus techniques was developed recently by Gentle and Miller [81] and applied to the Kasner cosmological model. They also describe a procedure to solve the constraint equations for time asymmetric initial data on two spacelike hypersurfaces constructed from tetrahedra, since full 4dimensional regions or lattices are used. The new method is analogous to York’s procedure (see [163] and Section 6.3) where the conformal metric, trace of the extrinsic curvature, and momentum variables are all freely specifiable. These early results are promising in that they have reproduced the continuum Kasner solution, achieved second order convergence, and sustained numerical stability. Also, Barnett et al. [29] discuss an implicit evolution scheme that allows local (vertex) calculations for efficient parallelism. However, the Regge Calculus approach remains to be developed and applied to more general spacetimes with complex topologies, extended degrees of freedom, and general source terms.
6.2 Sources of matter
6.2.1 Cosmological constant
6.2.2 Scalar field
6.2.3 Collisionless dust
6.2.4 Ideal gas
When solving Equations (45, 46, 47), an artificial viscosity method is needed to handle the formation and propagation of shock fronts [162, 85, 84]. These methods are computationally cheap, easy to implement, and easily adaptable to multiphysics applications. However, it has been demonstrated that problems involving very high Lorentz factors are somewhat sensitive to different implementations of the viscosity terms, and can result in substantial numerical errors if solved using time explicit methods [126].
Although Godunovtype schemes are accepted as more accurate alternatives to AV methods, especially in the limit of high Lorentz factors, they are not immune to problems and should generally be used with caution. They may produce unexpected results in certain cases that can be overcome only with problemspecific fixes or by adding additional dissipation. A few known examples include the admittance of expansion shocks, negative internal energies in kinematically dominated flows, the ‘carbuncle’ effect in high Mach number bow shocks, kinked Mach stems, and odd/even decoupling in meshaligned shocks [135]. Godunov methods, whether they solve the Riemann problem exactly or approximately, are also computationally much more expensive than their simpler AV counterparts, and it is more difficult to incorporate additional physics.
NOCD and artificial viscosity methods have been discussed at length in [12] and compared also with other published Godunov methods on their abilities to model shock tube, wall shock and black hole accretion problems. They find that for shock tube problems at moderate to high boost factors, with velocities up to V ∼ 0.99, internal energy formulations using artificial viscosity methods compare quite favorably with total energy schemes, including NOCD methods and Godunov methods using either approximate or exact Riemann solvers. However, AV methods can be somewhat sensitive to parameters (e.g., viscosity coefficients, Courant factor, etc.) and generally suspect in wall shock problems at high boost factors (V > 0.95). On the other hand, NOCD methods can easily be extended to ultrarelativistic velocities (1V < 10–11) for the same wall shock tests, and are comparable in accuracy to the more standard but complicated Riemann solver codes. NOCD schemes thus provide a reasonable alternative for relativistic hydrodynamics, though it should be noted that low order versions of these methods can be significantly more diffusive than either the AV or Godunov methods.
6.2.5 Imperfect fluid
6.3 Constrained nonlinear initial data
Equations (63) and (64) form a coupled nonlinear set of elliptic equations which must be solved iteratively, in general. The two equations can, however, be decoupled if a mean curvature slicing (K = K(t)) is assumed. Given the free data \(K,{\hat \gamma _{ij}},{\hat s^i} and \hat \rho \), the constraints are solved for \(\hat A_*^{ij},{(\hat lw)^{ij}}\) and ψ. The actual metric γ_{ij} and curvature K_{ij} are then reconstructed by the corresponding conformal transformations to provide the complete initial data. Anninos [7] describes a procedure using York’s formalism to construct parametrized inhomogeneous initial data in freely specifiable background spacetimes with matter sources. The procedure is general enough to allow gravitational wave and Coulomb nonlinearities in the metric, longitudinal momentum fluctuations, isotropic and anisotropic background spacetimes, and can accommodate the conformalNewtonian gauge to set up gauge invariant cosmological perturbation solutions as free data.
6.4 Newtonian limit
The Newtonian limit is defined by spatial scales much smaller than the horizon radius, peculiar velocities small compared to the speed of light, and a gravitational potential that is both much smaller than unity (in geometric units) and slowly varying in time. A comprehensive review of the theory of cosmological perturbations can be found in [124].
6.4.1 Dark and baryonic matter equations
6.4.2 Primordial chemistry
 Collisional reactions (primordial chain):
 (1)
H+e → H^{+} + 2e
 (2)
H+e → H^{+} + 2e
 (3)
H+e → H^{+} + 2e
 (4)
H + e → H^{+} + 2 e
 (5)
He^{+} + e → He^{++} + 2e
 (6)
He^{++} + e → He^{+} + γ
 (1)
 Collisional reactions (Hz molecular chain):
 (7)
H + e → H^{} + γ
 (8)
H + e → H^{} + γ
 (9)
H + e → H^{} + γ
 (10)
H + e → H^{} + γ
 (11)
H + e → H^{} + γ
 (12)
H + e → H^{} + γ
 (13)
H + e → H^{} + γ
 (14)
H + e → H^{} + γ
 (15)
H + e → H^{} + γ
 (16)
H + e → H^{} + γ
 (17)
H + e → H^{} + γ
 (18)
H _{2} ^{+} + H^{} → H_{2} + H
 (19)
H _{2} ^{+} + H^{} → H_{2} + H
 (7)
 Photoionization reactions (primordial chain):
 (20)
H + γ → H^{+} + e
 (21)
He + γ → He^{+} + e
 (22)
He^{+} + γ → He^{++} + e
 (20)
 Photodissociation/ionization reactions (molecular chain):
 (23)
H^{} + γ → H + e
 (24)
H^{} + γ → H + e
 (25)
H^{} + γ → H + e
 (26)
H^{} + γ → H + e
 (27)
H_{2} + γ → 2H
 (23)
For a comprehensive description of the chemistry and explicit formulas modeling the kinetic and cooling rates relevant for cosmological calculations, the reader is referred to [92, 144, 54, 1, 21]. This reactive network is by no means complete, and in fact, ignores important coolants and contaminants (e.g., HD, LIH, and their intermediary products [151, 78, 48]) expected to form through nonequilibrium reactions at low temperatures and high densities. Although it is certainly possible to include even in three dimensional simulations, the inclusion of more complex reactants demands either more computational resources (to resolve both the chemistry and cooling scales) or an increasing reliance on equilibrium assumptions which can be very inaccurate.
6.4.3 Numerical methods
Many numerical techniques have been developed to solve the hydrodynamic and collisionless particle equations. For the hydrodynamic equations, the methods range from Lagrangian SPH algorithms with artificial viscosity [72, 88], to high resolution shock capturing Eulerian techniques on single static meshes [142, 134], nested grids [19], moving meshes [82], and adaptive mesh refinement [51]. For the dark matter equations, the canonical choices are treecodes [159] or PM and P3M methods [90, 68], although many variants have been developed to optimize computational performance and accuracy, including adaptive mesh, particle, and smoothing kernel refinement methods [45, 77, 130]. An efficient method for solving nonequilibrium, multispecies chemical reactive flows together with the hydrodynamic equations in a background FLRW model is described in [1, 21].
It is beyond the scope of this review to discuss algorithmic details of the different methods and their strengths and weaknesses. Instead, the reader is referred to [103, 77] for thorough comparisons of various numerical methods applied to problems of structure formation. Kang et al. [103] compare (by binning data at different resolutions) the statistical performance of five codes (three Eulerian and two SPH) on the problem of an evolving CDM Universe on large scales using the same initial data. The results indicate that global averages of physical attributes converge in rebinned data, but that some uncertainties remain at small levels. Frenk et al. [77] compare twelve Lagrangian and Eulerian hydrodynamics codes to resolve the formation of a single Xray cluster in a CDM Universe. The study finds generally good agreement for both dynamical and thermodynamical quantities, but also shows significant differences in the Xray luminosity, a quantity that is especially sensitive to resolution [17].
6.4.4 Linear initial data
Bertschinger [44] has provided a useful and publicly available package of programs called COSMICS for computing transfer functions, CMB anisotropies, and gaussian random initial conditions for numerical structure formation calculations. The package solves the coupled linearized Einstein, Boltzman, and fluid equations for scalar metric perturbations, photons, neutrinos, baryons, and collisionless dark matter in a background isotropic Universe. It also generates constrained or unconstrained matter distributions over arbitrarily specifiable spatial or mass scales.
References
 [1]Abel, T., Anninos, P., Zhang, Y., and Norman, M.L., lModeling Primordial Gas in Numerical Cosmology”, New Astronomy, 2, 181–207, (June, 1997). 4.3, 6.4.2, 6.4.3ADSGoogle Scholar
 [2]Abel, T., Anninos, P., Zhang, Y., and Norman, M.L., “First Structure Formation: I. Primordial Star Forming Regions in hierarchical models”, Astrophys. J., 508, 518, (1998). 4.3ADSGoogle Scholar
 [3]Abel, T., Bryan, G.L., and Norman, M.L., “The Formation and Fragmentation of Primordial Molecular Clouds”, Astron. Astrophys., 540, 39–44, (2000). 4.3ADSGoogle Scholar
 [4]Abney, M., “hydrodynamic Detonation Instability in Electroweak and QCD Phase Transitions”, Phys. Rev. D, 49, 1777–1782, (1994). 3.4ADSGoogle Scholar
 [5]Alcubierre, M., dThe appearance of coordinate shocks in hyperbolic formalisms of General Relativity”, Phys. Rev. D, 55, 5981–5991, (1997). 6.1.2ADSMathSciNetCrossRefGoogle Scholar
 [6]Alcubierre, M., Brugmann, B., Dramlitsch, T., Font, J.A., Papadopoulos, P., Seidel, E., Stergioulas, N., and Takahashi, R., “Towards a Stable Numerical Evolution of Strongly Gravitating Systems in General Relativity: The Conformal Treatments”, Phys. Rev. D, 62, 044034, (2000). 6.1.1ADSGoogle Scholar
 [7]Anninos, P., “Planesymmetric Cosmology with Relativistic Hydrodynamics”, Phys. Rev. D, 58, 064010, (1998). 3.6.1, 6.1.2, 6.1.2, 6.3ADSMathSciNetGoogle Scholar
 [8]Anninos, P., Camarda, K., Masso, J., Seidel, E., Suen, W.M., and Towns, J., “ThreeDimensional numerical relativity: the evolution of black holes”, Phys. Rev. D, 52, 2059–2082, (1995). 6.1.2ADSMathSciNetGoogle Scholar
 [9]Anninos, P., Centrella, J., and Matzner, R., “Nonlinear Solutions for Initial Data in the Vacuum Einstein Equations in plane symmetry”, Phys. Rev. D, 39, 2155–2171, (1989). 3.6.1ADSMathSciNetGoogle Scholar
 [10]Anninos, P., Centrella, J., and Matzner, R., “Nonlinear Wave Solutions to the Planar Vacuum Einstein Equations”, Phys. Rev. D, 43, 1825–1838, (1991). 3.6.1ADSGoogle Scholar
 [11]Anninos, P., Centrella, J., and Matzner, R., “Numerical Methods for Solving the Planar Vacuum Einstein Equations”, Phys. Rev. D, 43, 1808–1824, (1991). 3.6.1ADSGoogle Scholar
 [12]Anninos, P., and Fragile, P.C., “Nonoscillatory Central Difference and Artificial Viscosity Schemes for Relativistic Hydrodynamics”, Astrophys. J. Suppl. Ser., 144, 243–257, (2003). 6.2.4ADSGoogle Scholar
 [13]Anninos, P., Masso, J., Seidel, E., Suen, W.M., and Tobias, M., “Dynamics of Gravitational Waves in 3D: Formulations, Methods, and Tests”, Phys. Rev. D, 56, 842–858, (1997). 6.1.1ADSGoogle Scholar
 [14]Anninos, P., Matzner, R., Rothman, T., and Ryan, M., “How does Inflation Isotropize the Universe?”, Phys. Rev. D, 43, 3821–3832, (1991). 3.2.3ADSGoogle Scholar
 [15]Anninos, P., Matzner, R., Tuluie, R., and Centrella, J., “Anisotropies of the Cosmic Background Radiation in a Hot Dark Matter Universe”, Astrophys. J., 382, 71–78, (1991). 4.1.4, 4.1.4ADSGoogle Scholar
 [16]Anninos, P., and McKinney, J., “Relativistic Hydrodynamics of Cosmological Sheets”, Phys. Rev. D, 60, 064011, (1999). 3.6.1, 4.6ADSGoogle Scholar
 [17]Anninos, P., and Norman, M.L., “Hierarchical Numerical Cosmology: Resolving XRay Clusters”, Astrophys. J., 459, 12–26, (1996). 4.5.3, 6.4.3ADSGoogle Scholar
 [18]Anninos, P., and Norman, M.L., “The Role of Hydrogen Molecules in the Radiative Cooling and Fragmentation of Cosmological Sheetsrd, Astrophys. J., 460, 556–568, (1996). 4.6ADSGoogle Scholar
 [19]Anninos, P., Norman, M.L., and Clarke, D.A., “Hierarchical Numerical Cosmology with Hydrodynamics: Methods and Code Tests”, Astrophys. J., 436, 11–22, (1994). 6.4.3ADSGoogle Scholar
 [20]Anninos, P., Oliveira, S., and Matzner, R., “Fractal structure in the scalar λ(φ^{2}1)^{2} theory”, Phys. Rev. D, 44, 1147–1160, (1991). 3.3ADSGoogle Scholar
 [21]Anninos, P., Zhang, Y., Abel, T., and Norman, M.L., “Cosmological Hydrodynamics with MultiSpecies Chemistry and Nonequilibrium Ionization and Cooling”, New Astronomy, 2, 209–224, (June, 1997). 4.3, 6.4.2, 6.4.3ADSGoogle Scholar
 [22]Anninos, W.Y., Norman, M.L., and Anninos, P., “Nonlinear Hydrodynamics of Cosmological Sheets: II. Fragmentation and the Gravitational Cooling and ThinShell Instabilities”, Astrophys. J., 450, 1–13, (1995). 4.6ADSGoogle Scholar
 [23]Arnowitt, R., Deser, S., and Misner, C.W., “The Dynamics of General Relativity”, in Witten, L., ed., Gravitation: An Introduction to Current Research, 227–265, (Wiley, New York, U.S.A., 1962). Related online version (cited on 07 March 2005): http://arxiv.org/abs/grgc/0405109. 6.1.1Google Scholar
 [24]Bahcall, N.A., Fan, X., and Cen, R., “Constraining Ω with Cluster Evolution”, Astrophys. J., 485, L53–L56, (1997). 4.5.2ADSGoogle Scholar
 [25]Balakrishna, J., Danes, G., Seidel, E., Suen, W.M., Tobias, M., and Wang, E., “Coordinate Conditions in ThreeDimensional Numerical Relativity”, Class. Quantum Grav., 13, L135–L142, (1996). 6.1.2MathSciNetzbMATHGoogle Scholar
 [26]Banyuls, F., Font, J.A., Ibanez, J.M., Marti, J.M., and Miralles, J.A., “Numerical 3 + 1 General Relativistic Hydrodynamics: a Local Characteristic Approach”, Astrophys. J., 476, 221–231, (1997). 6.2.4ADSGoogle Scholar
 [27]Bardeen, J.M., Bond, JR., Kaiser, N., and Szalay, A.S., “The Statistics of Peaks of Gaussian Random Fields”, Astrophys. J., 304, 15–61, (1986). 6.4.4, 6.4.4ADSGoogle Scholar
 [28]Barreiro, R.B., “The Cosmic Microwave Background: State of the Art”, New Astron. Rev., 44, 179–204, (2000). 4.1.4ADSGoogle Scholar
 [29]Barrett, J.W., Galassi, M., Miller, W.A., Sorkin, R.D., Tuckey, P.A., and Williams, R.M., “A Parallelizable Implicit Evolution Scheme for Regge Calculus”, Int. J. Theor. Phys., 36, 815–840, (1997). 6.1.4MathSciNetzbMATHGoogle Scholar
 [30]Barrow, J.D., “Chaos in the Einstein Equations”, Phys. Rev. Lett., 46, 963–966, (1981). 3.1.1ADSMathSciNetGoogle Scholar
 [31]Baumgarte, T.D., and Shapiro, S.L., “On the Numerical Integration of Einstein’s Field Equations”, Phys. Rev. D, 59, 024007, (1999). 6.1.1ADSMathSciNetzbMATHGoogle Scholar
 [32]Belinskii, V.A., Lifshitz, E.M., and Khalatnikov, I.M., “Oscillatory Approach to a Singularity Point in the Relativistic Cosmology”, Adv. Phys., 19, 525–573, (1970). 3.1.1ADSGoogle Scholar
 [33]Belinskil, V.A., Lifshitz, E.M., and Khalatnikov, I.M., “Oscillatory Approach to the Singularity Point in Relativistic Cosmology”, Sov. Phys. Usp., 13, 745–765, (1971). 3.1.1, 3.1.1ADSGoogle Scholar
 [34]Bennett, C.L., Halpern, M., Hinshaw, G., Jarosik, N., Kogut, A., Limon, M., Meyer, S.S., Page, L., Spergel, D.N., Tucker, G.S., Wollack, E., Wright, E.L., Barnes, C., Greason, MR., Hill, R.S., Komatsu, E., Nolta, MR., Odegard, N., Peiris, H.V., Verde, L., and Welland, J.L., “First Year Wilkonson Microwave Anistropy Probe (WMAP) Observations: Preliminary Maps and Basic Results”, Astrophys. J. Suppl. Ser., 148, 1–27, (2003). 4.1ADSGoogle Scholar
 [35]Berger, B.K., “Comments on the Computation of Liapunov Exponents for the Mixmaster Universe”, Gen. Relativ. Gravit., 23, 1385–1402, (1991). 3.1.1ADSMathSciNetGoogle Scholar
 [36]Berger, B.K., “Numerical Investigation of Cosmological Singularities”, (December, 1995). URL (cited on 3 September 1997): http://arXiv.org/abs/grgc/9512004. 3.1.2, 6.1.3
 [37]Berger, B.K., “Numerical Approaches to Spacetime Singularities”, Living Rev. Relativity, 5, (2002). URL (cited on 27 October 2004): http://www.livingreviews.org/lrr20021. 3.1.1, 6.1.3
 [38]Berger, B.K., Chrusciel, P.T., Isenberg, J.A., and Moncrief, V., “Global Foliations of Vacuum Spacetimes with T^{2} Isometry”, Ann. Phys. (N. Y.), 260, 117–148, (1997). 3.1.2ADSzbMATHGoogle Scholar
 [39]Berger, B.K., Garfinkle, D., and Strasser, E., “New Algorithm for Mixmaster Dynamics”, Class. Quantum Grav., 14, L29–L36, (1997). 6.1.3ADSMathSciNetzbMATHGoogle Scholar
 [40]Berger, B.K., and Moncrief, V., “Numerical Investigations of Cosmological Singularities”, Phys. Rev. D, 48, 4676–4687, (1993). 6.1.3, 6.1.3ADSMathSciNetGoogle Scholar
 [41]Berger, B.K., and Moncrief, V., “Evidence for an oscillatory singularity in generic U(1) symmetric cosmologies on T3 x R”, Phys. Rev. D, 58, 064023, (1998). 3.1.2ADSGoogle Scholar
 [42]Berger, B.K., and Moncrief, V., “Signature for local Mixmaster dynamics in U(1) symmetric cosmologies”, Phys. Rev. D, 62, 123501, (2000). 3.1.2ADSMathSciNetGoogle Scholar
 [43]Bernstein, D., Hobill, D.W., and Smarr, L.L., “Black Hole Spacetimes: Testing Numerical Relativity”, in Evans, C.R., Finn, L.S., and Hobill, D.W., eds., Frontiers in Numerical Relativity, 57–73, (Cambridge University Press, Cambridge, U.K.; New York, U.S.A., 1989). 6.1.1Google Scholar
 [44]Bertschinger, E., “COSMICS: Cosmological Initial Conditions and Microwave Anisotropy Codes”, (June, 1995). URL (cited on 30 August 2000): http://arXiv.org/abs/astroph/9506070. 6.4.4
 [45]Bertschinger, E., “Simulations of Structure Formation in the Universe”, Annu. Rev. Astron. Astrophys., 36, 599–654, (1998). 4, 6.4.3ADSGoogle Scholar
 [46]Birrell, N.D., and Davies, P.C.W., Quantum Fields in Curved Space, (Cambridge University Press, Cambridge, U.K.; New York, U.S.A., 1982). 6.2.2zbMATHGoogle Scholar
 [47]Bond, JR., Centrella, J., Szalay, A.S., and Wilson, JR., “Cooling Pancakes”, Mon. Not. R. Astron. Soc., 210, 515–545, (1984). 4.6ADSGoogle Scholar
 [48]Bromm, V., Coppi, P.S., and Larson, R.B., “Forming the First Stars in the Universe: The Fragmentation of Primordial Gas”, Astrophys. J., 527, L5–8, (1999). 4.3, 6.4.2ADSGoogle Scholar
 [49]Bryan, G.L., Cen, R., Norman, M.L., Ostriker, J.P., and Stone, J.M., “XRay Clusters from a HighResolution Hydrodynamic PPM Simulation of the Cold Dark Matter Universe”, Astrophys. J., 428, 405–418, (1994). 4.5.3ADSGoogle Scholar
 [50]Bryan, G.L., Machacek, M.E., Anninos, P., and Norman, M.L., “Resolving the Lya Forest”, Astrophys. J., 517, 13–30, (1999). 4.4ADSGoogle Scholar
 [51]Bryan, G.L., and Norman, M.L., “A hybrid AMR appplication for cosmology and astrophysicsrd, in Baden, S.B., Chrisochoides, N.P., Gannon, D.B., and Norman, M.L., eds., Structured Adaptive Mesh Refinement (SAMR) Grid Methods, Proceedings of the Workshop held at the Institute for Mathematics and Its Applications, University of Minnesota, on March 12–13, 1997, vol. 117 of The IMA Volumes in Mathematics and its Applications, 165–170, (Springer, New York, U.S.A., 1997). Related online version (cited on 22 August 2000): http://arXiv.org/abs/astroph/9710187. 6.4.3Google Scholar
 [52]Bryan, G.L., and Norman, M.L., “Statistical Properties of Xray Clusters: Analytic and Numerical Comparisons”, Astrophys. J., 495, 80–99, (1998). 4.5.3ADSGoogle Scholar
 [53]Burd, A.B., Buric, N., and Ellis, G.F.R., “A Numerical Analysis of Chaotic Behavior in Bianchi IX Models”, Gen. Relativ. Gravit., 22, 349–363, (1990). 3.1.1ADSzbMATHGoogle Scholar
 [54]Cen, R., “A Hydrodynamic Approach to Cosmology — Methodology”, Astrophys. J. Suppl. Ser., 78, 341–364, (1992). 6.4.2ADSGoogle Scholar
 [55]Cen, R., Gott, JR., Ostriker, J.P., and Turner, E.L., ldStrong Gravitational Lensing Statistics as a Test of Cosmogonic Scenarios", Astrophys. J., 423, 1–11, (1994). 4.2ADSGoogle Scholar
 [56]Cen, R., and Ostriker, J.P., “Xray Clusters in a Cold Dark Matter + A Universe: A Direct, LargeScale, High Resolution, Hydrodynamic Simulation”, Astrophys. J., 429, 4–21, (1994). 4.5.3ADSGoogle Scholar
 [57]Centrella, J., and Matzner, R.A., “PlaneSymmetric Cosmologies”, Astrophys. J., 230, 311324, (1979). 3.6.1ADSMathSciNetGoogle Scholar
 [58]Centrella, J., and Matzner, R.A., “Colliding Gravitational Waves in Expanding Cosmologies”, Phys. Rev. D, 25, 930–941, (1982). 3.6.1ADSGoogle Scholar
 [59]Centrella, J., and Wilson, JR., “Planar Numerical Cosmology: I. The Differential Equations”, Astrophys. J., 273, 428–435, (1983). 3.2.1, 3.6.1, 6.1.2ADSGoogle Scholar
 [60]Centrella, J., and Wilson, JR., “Planar Numerical Cosmology: II. The Difference Equations and Numerical Tests”, Astrophys. J. Suppl. Ser., 54, 229–249, (1984). 3.2.1, 3.6.1, 6.1.2, 6.1.2ADSGoogle Scholar
 [61]Centrella, J.M., “Nonlinear Gravitational Waves and Inhomogeneous Cosmologies”, in Centrella, J.M., ed., Dynamical Spacetimes and Numerical Relativity, Proceedings of the Workshop held at Drexel University, October 711, 1985, 123–150, (Cambridge University Press, Cambridge, U.K.; New York, U.S.A., 1986). 3.6.1zbMATHGoogle Scholar
 [62]Charlton, J., Anninos, P., Zhang, Y., and Norman, M.L., “Probing Lya Absorbers in Cosmological Simulations with Double Lines of Sight”, Astrophys. J., 485, 26–38, (1997). 4.4ADSGoogle Scholar
 [63]Cornish, N.J., and Levin, J., “Chaos, Fractals and Inflation”, Phys. Rev. D, 53, 3022–3032, (1996). 3.3ADSGoogle Scholar
 [64]Cornish, N.J., and Levin, J., “The Mixmaster Universe is Chaotic”, Phys. Rev. Lett., 78, 998–1001, (1997). 3.1.1ADSGoogle Scholar
 [65]Crone, M.M., Evrard, A.E., and Richstone, D.O., “The Cosmological Dependence of Cluster Density Profiles”, Astrophys. J., 434, 402–416, (1994). 4.5.1ADSGoogle Scholar
 [66]da Silva, A.C., Barbosa, D., Liddle, A.R., and Thomas, P.A., “Hydrodynamical Simulations of the SunyaevZel’dovich effect”, Mon. Not. R. Astron. Soc., 317, 37, (2000). 4.5.4ADSGoogle Scholar
 [67]Dave, R., Hernquist, L., Weinberg, D.H., and Katz, N., “Voight Profile Analysis of the Lya Forest in a Cold Dark Matter Universe”, Astrophys. J., 477, 21–26, (1997). 4.4ADSGoogle Scholar
 [68]Efstathiou, G.P., Davis, M., Frenk, C.S., and White, S.D.M., “Numerical Techniques for Large Cosmological NBody Simulations”, Astrophys. J. Suppl. Ser., 57, 241–260, (1985). 6.4.3, 6.4.4ADSGoogle Scholar
 [69]Ellis, G.F.R., and MacCallum, M.A.H., “A Class of Homogeneous Cosmological Models”, Commun. Math. Phys., 12, 108, (1969). 2.2ADSMathSciNetzbMATHGoogle Scholar
 [70]Ellis, G.F.R., and van Elst, H., “Cosmological Models”, in LachèzeRey, M., ed., Theoretical and Observational Cosmology, Proceedings of the NATO Advanced Study Institute on Theoretical and Observational Cosmology, Cargèse, France, August 1729, 1998, vol. 541 of NATO Science Series C, (Kluwer, Dordrecht, Netherlands; Boston, U.S.A., 1999). 2.2Google Scholar
 [71]Eppley, K., “Pure Gravitational Waves”, in Smarr, L.L., ed., Sources of Gravitational Radiation, Proceedings of the Battelle Seattle Workshop, July 24–August 4, 1978, 275–291, (Cambridge University Press, Cambridge, U.K., 1979). 6.1.2Google Scholar
 [72]Evrard, A.E., “Beyond NBody: 3D Cosmological Gas Dynamics”, Mon. Not. R. Astron. Soc., 235, 911–934, (1988). 6.4.3ADSzbMATHGoogle Scholar
 [73]Ferraz, K., Francisco, G., and Matsas, G.E.A., “Chaotic and Nonchaotic Behavior in the Mixmaster Dynamics”, Phys. Lett. A, 156, 407–409, (1991). 3.1.1ADSGoogle Scholar
 [74]Flores, R.A., and Primack, J.R., “Cluster Cores, Gravitational Lensing, and Cosmology”, Astrophys. J. Lett., 457, L5–L9, (1996). 4.2ADSGoogle Scholar
 [75]Font, J.A., “Numerical Hydrodynamics in General Relativity”, Living Rev. Relativity, 6, (2003). URL (cited on 27 October 2004): http://www.livingreviews.org/lrr20034. 6.2.4
 [76]Fragile, P.C., and Anninos, P., “Hydrodynamic Stability of Cosmological QuarkHadron Phase Transitions”, Phys. Rev. D, 67, 103010, (2003). 3.4ADSGoogle Scholar
 [77]Frenk, C.S., White, S.D.M., Bode, P., Bond, J.R., Bryan, G.L., Cen, R., Couchman, H.M.P., Evrard, A.E., Gnedin, N., Jenkins, A., Khokhlov, A.M., Klypin, A., Navarro, J.F., Norman, M.L., Ostriker, J.P., Owen, J.M., Pearce, F.R., Pen, U.L., Steinmetz, M., Thomas, P.A., Villumsen, J.V., Wadsley, J.W., Warren, M.S., Xu, G., and Yepes, G., “The Santa Barbara Cluster Comparison Project: A Comparison of Cosmological Hydrodynamics Solutions”, Astrophys. J., 525, 554–582, (1999). 6.4.3ADSGoogle Scholar
 [78]Galli, D., and Palla, F., “The Chemistry of the Early Universe”, Astron. Astrophys., 335, 403–420, (1998). 6.4.2ADSGoogle Scholar
 [79]Garfinkle, D., “Numerical Simulations of generic Singularities”, Phys. Rev. Lett., 93, 161101, (2004). URL (cited on 26 October 2004): http://arXiv.org/abs/grgc/0312117. 3.1.2ADSMathSciNetGoogle Scholar
 [80]Gawiser, E., and Silk, J., “The Cosmic Microwave Background Radiation”, Phys. Rep., 333, 245–267, (2000). 4.1.4ADSzbMATHGoogle Scholar
 [81]Gentle, A.P., and Miller, W.A., "A Fully (3+1)D Regge Calculus Model of the Kasner Cosmology", Class. Quantum Grav., 15, 389405}, (1998). 6.1.4ADSMathSciNetzbMATHGoogle Scholar
 [82]Gnedin, N.Y., “Softened Lagrangian Hydrodynamics for Cosmology”, Astrophys. J. Suppl. Ser., 97, 231–257, (1995). 6.4.3ADSGoogle Scholar
 [83]Goldwirth, D.S., and Piran, T., “Inhomogeneity and the Onset of Inflation”, Phys. Rev. Lett., 64, 2852–2855, (1990). 3.2.2ADSGoogle Scholar
 [84]Hawley, J., Smarr, L., and Wilson, J., “A Numerical Study of Nonspherical Black Hole Accretion. II. Finite Differencing and Code Calibration”, Astrophys. J. Suppl. Ser., 55, 211–246, (1984). 6.2.4ADSGoogle Scholar
 [85]Hawley, J.F., Smarr, L.L., and Wilson, JR., “A Numerical Study of Nonspherical Black Hole Accretion. I. Equations and Test Problems”, Astrophys. J., 277, 296–311, (1984). 6.2.4ADSGoogle Scholar
 [86]Hern, S.D., “Coordinate Singularities in Harmonicallysliced Cosmologies”, Phys. Rev. D, 62, 044003, (2000). 6.1.2ADSMathSciNetGoogle Scholar
 [87]Hern, S.D., and Stewart, J.M., “The Gowdy T3 Cosmologies Revisited”, Class. Quantum Grav., 15, 1581–1593, (1998). 3.1.2ADSzbMATHGoogle Scholar
 [88]Hernquist, L., and Katz, N., “Performance Characteristics of Tree Codes”, Astrophys. J. Suppl. Ser., 64, 715–734, (1989). 6.4.3Google Scholar
 [89]Hobill, D., Bernstein, D., Welge, M., and Simkins, D., “The Mixmaster Cosmology as a Dynamical System”, Class. Quantum Grav., 8, 1155–1171, (1991). 3.1.1ADSMathSciNetzbMATHGoogle Scholar
 [90]Hockney, R.W., and Eastwood, J.W., Computer Simulation Using Particles, (IOP Publishing, Bristol, U.K., 1988). 6.4.3zbMATHGoogle Scholar
 [91]Holcomb, K.A., “Vacuum Axisymmetric Cosmologies”, in Centrella, J.M., ed., Dynamical Spacetimes and Numerical Relativity, Proceedings of a workshop held at Drexel University, October 711, 1985, 187–200, (Cambridge University Press, Cambridge, U.K.; New York, U.S.A., 1986). 3.6.2Google Scholar
 [92]Hollenbach, D., and McKee, C.F., “Molecule Formation and Infrared Emission in Fast Interstellar Shocks: I. Physical Processes”, Astrophys. J. Suppl. Ser., 41, 555–592, (1979). 6.4.2ADSGoogle Scholar
 [93]Hu, W., and Dodelson, S., “Cosmic Microwave Background Anisotropies”, Annu. Rev. Astron. Astrophys., 40, 171–216, (2002). 4.1.4ADSGoogle Scholar
 [94]Hu, W., Scott, D., Sugiyama, N., and White, M., “The effect of Physical Assumptions on the Calculation of Microwave Background Anisotropies”, Phys. Rev. D, 52, 5498–5515, (1995). 4.1.3, 4.1.4, 4.1.4ADSGoogle Scholar
 [95]Huet, P., Kajantie, K., Leigh, R.G., Liu, B.H., and McLerran, L., “Hydrodynamic Stability Analysis of Burning Bubbles in Electroweak Theory and in QCD”, Phys. Rev. D, 48, 2477–2492, (1993). 3.4ADSGoogle Scholar
 [96]Ignatius, J., Kajantie, K., KurkiSuonio, H., and Laine, H., “Growth of Bubbles in Cosmological Phase Transitions”, Phys. Rev. D, 49, 3854–3868, (1994). 3.4ADSGoogle Scholar
 [97]Isenberg, J.A., and Moncrief, V., “The Existence of Constant Mean Curvature Foliations of Gowdy 3Torus Spacetimes”, Commun. Math. Phys., 86, 485–493, (1982). 6.1.2ADSMathSciNetzbMATHGoogle Scholar
 [98]Isenberg, J.A., and Moncrief, V., “Asymptotic Behavior of the Gravitational Field and the Nature of Singularities in Gowdy Spacetimes”, Ann. Phys. (N.Y.), 199, 84–122, (1990). 3.1.2ADSMathSciNetzbMATHGoogle Scholar
 [99]Jiang, O.S., Levy, D., Lin, C.T., Osher, S., and Tadmor, E., “High Resolution Nonoscillatory Central Difference Schemes with Nonstaggered Grids for Hyperbolic Conservation Laws”, SIAM J. Numer. Anal., 35, 2147–2168, (1998). 6.2.4MathSciNetzbMATHGoogle Scholar
 [100]Jiang, O.S., and Tadmor, E., “Nonoscillatory Central Schemes for Multidimensional Hyperbolic Conservation Laws”, SIAM J. Sci. Comput., 19, 1892–1917, (1998). 6.2.4MathSciNetzbMATHGoogle Scholar
 [101]Jones, A.W., and Lasenby, AX, “The Cosmic Microwave Background”, Living Rev. Relativity, 1, (1998). URL (cited on 29 August 2000): http://www.livingreviews.org/lrr199811. 4.1.3
 [102]Kamionkowski, M., and Freese, K., “Instability and Subsequent Evolution of Electroweak Bubbles”, Phys. Rev. Lett., 69, 2743–2746, (1992). 3.4, 3.4ADSGoogle Scholar
 [103]Kang, H., Ostriker, J.P., Cen, R., Ryu, D., Hernquist, L., Evrard, A.E., Bryan, G.L., and Norman, M.L., “A Comparison of Cosmological Hydrodynamic Codes”, Astrophys. J., 430, 83–100, (1994). 6.4.3ADSGoogle Scholar
 [104]Kolb, E.W., and Turner, M.S., The Early Universe, vol. 69 of Frontiers in Physics, (AddisonWesley, Reading, U.S.A., 1990). 2.2, 3.2.1zbMATHGoogle Scholar
 [105]Krasinski, A., Inhomogeneous Cosmological Models, (Cambridge University Press, Cambridge, U.K.; New York, U.S.A., 1996). 2.2zbMATHGoogle Scholar
 [106]KurkiSuonio, H., Centrella, J.M., Matzner, R.A., and Wilson, J.R., “Inflation from Inhomogeneous Initial Data in a OneDimensional BackReacting Cosmology”, Phys. Rev. D, 35, 435–448, (1987). 3.2.1ADSGoogle Scholar
 [107]KurkiSuonio, H., Laguna, P., and Matzner, R.A., “Inhomogeneous Inflation: Numerical Evolution”, Phys. Rev. D, 48, 3611–3624, (1993). 3.2.5, 6.2.2ADSGoogle Scholar
 [108]KurkiSuonio, H., and Laine, M., “On Bubble Growth and Droplet Decay in Cosmological Phase Transitions”, Phys. Rev. D, 54, 7163–7171, (1996). 3.4ADSGoogle Scholar
 [109]KurkiSuonio, H., and Matzner, R., “Anisotropy and Cosmic Nucleosynthesis of Light Isotopes Including 7Li”, Phys. Rev. D, 31, 1811–1814, (1985). 3.5ADSGoogle Scholar
 [110]KurkiSuonio, H., Matzner, R.A., Centrella, J.M., Rothman, T., and Wilson, J.R., “Inhomogeneous Nucleosynthesis with Neutron Diffusion”, Phys. Rev. D, 38, 1091–1099, (1988). 3.5ADSGoogle Scholar
 [111]Liddle, A.R., An Introduction to Cosmological Inflation”, (January, 1999). URL (cited on 11 January 1999): http://arXiv.org/abs/astroph/9901124. 3.2
 [112]Link, B., “Deflagration Instability in the QuarkHadron Phase Transition”, Phys. Rev. Lett., 68, 2425–2428, (1992). 3.4ADSGoogle Scholar
 [113]Lyth, D.H., and Riotto, A., “Particle Physics Models of Inflation and the Cosmological Density Perturbation”, Phys. Rep., 314, 1–146, (1999). 3.2ADSMathSciNetGoogle Scholar
 [114]Ma, C.P., and Bertschinger, E., “Cosmological Perturbation Theory in the Synchronous and Conformal Newtonian Gauges”, Astrophys. J., 455, 7–25, (1995). 4.1.4ADSGoogle Scholar
 [115]Machacek, M.E., Bryan, G.L., Meiksin, A., Anninos, P., Thayer, D., Norman, M.L., and Zhang, Y., “Hydrodynamical Simulations of the Lya Forest: Model Comparisons”, Astrophys. J., 532, 118–135, (2000). 4.4ADSGoogle Scholar
 [116]Matzner, R.A., Shepley, L.C., and Warren, J.B., “Dynamics of SO(3, R)homogeneous cosmologies”, Ann. Phys. (N.Y.), 57, 401–460, (1970). 3.1.1ADSGoogle Scholar
 [117]Meiksin, A., Bryan, G.L., and Machacek, M.E., “Hydrodynamical Simulations of the Lya forest: Data Comparisons”, Mon. Not. R. Astron. Soc., 327, 296, (2001). 4.4ADSGoogle Scholar
 [118]MiraldaEscude, J., Cen, R., Ostriker, J.P., and Rauch, M., “The Lya Forest from Gravitational Collapse in the Cold Dark Matter + A Model”, Astrophys. J., 471, 582–616, (1996). 4.4ADSGoogle Scholar
 [119]Misner, C.W., “Mixmaster Universe”, Phys. Rev. Lett., 22, 1071–1074, (1969). 3.1.1ADSzbMATHGoogle Scholar
 [120]Misner, C.W., Thorne, K.S., and Wheeler, J.A., Gravitation, (W.H. Freeman, San Francisco, U.S.A., 1973). 3.1.1Google Scholar
 [121]Moncrief, V., “FiniteDifference Approach to Solving Operator Equations of Motion in tum Theory”, Phys. Rev. D, 28, 2485–2490, (1983). 6.1.3ADSMathSciNetGoogle Scholar
 [122]Monerat, G.A., de Oliveira, H.P., and Soares, I.D., “Chaos in Preinflationary FriedmannRobertsonWalker Universes”, Phys. Rev. D, 58, 063504, (1998). 3.3ADSGoogle Scholar
 [123]Moser, A.A., Matzner, R.A., and Ryan Jr, M.P., “Numerical Solutions for Symmetric Bianchi Type IX Universes”, Ann. Phys. (N.Y.), 79, 558, (1973). 3.1.1ADSGoogle Scholar
 [124]Mukhanov, V.F., Feldman, H.A., and Brandenberger, R.H., “Theory of Cosmological Perturbations”, Phys. Rep., 215, 203–333, (1992). 6.4ADSMathSciNetGoogle Scholar
 [125]Navarro, J.F., Frenk, C.S., and White, S.D.M., “A Universal Density Profile from Hierarchical Clustering”, Astrophys. J., 490, 493–508, (1997). 4.5.1ADSGoogle Scholar
 [126]Norman, M.L., and Winkler, K.H.A., “Why Ultrarelativistic Numerical Hydrodynamics is Difficult”, in Winkler, K.H.A., and Norman, M.L., eds., Astrophysical Radiation Hydrodynamics, Proceedings of the NATO Advanced Research Workshop, Garching, Germany, August 213, 1982, vol. 188 of NATO ASI Series C, 449–475, (Reidel, Dordrecht, Netherlands; Boston, U.S.A., 1986). 6.2.4Google Scholar
 [127]Ostriker, J.P., and Gnedin, N.Y., “Reheating of the Universe and Population III”, Astrophys. J., 472, L63 L67, (1996). 4.3ADSGoogle Scholar
 [128]Ostriker, J.P., and Steinhardt, P.J., “Cosmic Concordance”, (May, 1995). URL (cited on 5 September 2000): http://arXiv.org/abs/astroph/9505066. 2.2
 [129]Ove, R., “Numerical Investigations of Cosmic Censorship on T3XR”, in Centrella, J.M., ed., Dynamical Spacetimes and Numerical Relativity, Proceedings of a workshop held at Drexel University, October 711, 1985, 201–235, (Cambridge University Press, Cambridge, U.K.; New York, U.S.A., 1986). 3.6.2Google Scholar
 [130]Owen, J.M., Villumsen, J.V., Shapiro, P.R., and Martel, H., “Adaptive Smoothed Particle Hydrodynamics: Methodology II”, Astrophys. J. Suppl. Ser., 116, 155–209, (1998). 6.4.3ADSGoogle Scholar
 [131]Padmanabhan, T., Structure Formation in the Universe, (Cambridge University Press, Cambridge, U.K.,; New York, U.S.A., 1993). 4, 4.1.4Google Scholar
 [132]Peebles, P.J.E., Principles of Physical Cosmology, Princeton Series in Physics, (Princeton University Press, Princeton, U.S.A., 1993). 4Google Scholar
 [133]Peebles, P.J.E., and Ratra, B., “The Cosmological Constant and Dark Energy”, Rev. Mod. Phys., 75, 559–606, (2003). 2.2ADSMathSciNetzbMATHGoogle Scholar
 [134]Quills, V., Ibanez, J.M., and Saez, D., “A Multidimensional Hydrodynamic Code for Structure Evolution in Cosmology”, Astrophys. J., 469, 11–25, (1996). 6.4.3ADSGoogle Scholar
 [135]Quirk, J.J., “A Contribution to the Great Riemann Solver Debate”, Int. J. Numer. Meth. Fluids, 18, 555–574, (1994). 6.2.4MathSciNetzbMATHGoogle Scholar
 [136]Reula, O.A., “Hyperbolic Methods for Einstein’s Equations”, Living Rev. Relativity, 1, (1998). URL (cited on 29 August 2000): http://www.livingreviews.org/lrr19983. 6.1.1
 [137]Rezzolla, L., “Stability of Cosmological Detonation Fronts”, Phys. Rev. D, 54, 1345–1358, (1996). 3.4ADSGoogle Scholar
 [138]Rezzolla, L., Miller, J.C., and Pantano, O., “Evaporation of Quark Drops During the Cosmological QuarkHadron Transition”, Phys. Rev. D, 52, 3202–3213, (1995). 3.4ADSGoogle Scholar
 [139]Romero, J.V., Ibanez, J.M., Martf, J.M., and Miralles, J.A., “A New Spherically Symmetric General Relativistic Hydrodynamical Code”, Astrophys. J., 462, 839–854, (1996). 6.2.4ADSGoogle Scholar
 [140]Rothman, T., and Matzner, R.A., “Nucleosynthesis in Anisotropic Cosmologies Revisited”, Phys. Rev. D, 30, 1649–1668, (1984). 3.5ADSGoogle Scholar
 [141]Ryan Jr, M.P., and Shepley, L.C., Homogeneous Relativistic Cosmologies, Princeton Series in Physics, (Princeton University Press, Princeton, U.S.A., 1975). 2.2, 3.1.2Google Scholar
 [142]Ryu, D., Ostriker, J.P., Kang, H., and Cen, R., “A Cosmological Hydrodynamic Code Based on the Total Variation Diminishing Scheme”, Astrophys. J., 414, 1–19, (1993). 6.4.3ADSGoogle Scholar
 [143]Schneider, P., Ehlers, J., and Falco, E.E., Gravitational Lenses, Astronomy and Astrophysics Library, (Springer, Berlin, Germany; New York, U.S.A., 1992). 4.2Google Scholar
 [144]Shapiro, P.R., and Kang, H., “Hydrogen Molecules and the Radiative Cooling of Pregalactic Shocks”, Astrophys. J., 318, 32–65, (1987). 6.4.2ADSGoogle Scholar
 [145]Shapiro, P.R., and StruckMarcell, C., “Pancakes and the Formation of Galaxies in a Universe Dominated by Collisionless Particles”, Astrophys. J. Suppl. Ser., 57, 205–239, (1985). 4.6ADSGoogle Scholar
 [146]Shibata, M., “Fully general relativistic simulation of merging binary clusters — Spatial gauge condition ”, Prog. Theor. Phys., 101, 1199–1233, (1999). 6.1.2ADSGoogle Scholar
 [147]Shibata, M., and Nakamura, T., “Evolution of ThreeDimensional Gravitational Waves: Harmonic Slicing Case”, Phys. Rev. D, 52, 5428–5444, (1995). 6.1.1ADSMathSciNetzbMATHGoogle Scholar
 [148]Shinkai, H., and Maeda, K., “Can Gravitational Waves Prevent Inflation”, Phys. Rev. D, 48, 3910–3913,(1993). 3.2.4ADSGoogle Scholar
 [149]Spergel, D.N., Verde, L., Peiris, H.V., Komatsu, E., Nolta, M.R., Bennett, C.L., Halpern, M., Hinshaw, G., Jarosik, N., Kogut, A., Limon, M., Meyer, S.S., Page, L., Tucker, G.S., Welland, J.L., Wollack, E., and Wright, E.L., “First Year Wilkonson Microwave Anistropy Probe (WMAP) Observations: Determination of Cosmological Parameters”, Astrophys. J. Suppl. Ser., 148, 175–194, (2003). 4.1ADSGoogle Scholar
 [150]Springel, V., White, M., and Hernquist, L., “Hydrodynamic Simulations of the SunyaevZel’dovich Effect(s)”, Astrophys. J., 549, 681–687, (2001). 4.5.4ADSGoogle Scholar
 [151]Stanch, P.C., Lepp, S., and Dalgarno, A., “The Deuterium Chemistry of the Early Universe”, Astrophys. J., 509, 1–10, (1998). 6.4.2ADSGoogle Scholar
 [152]Stebbins, A., “The CMBR Spectrum”, (May, 1997). URL (cited on 29 August 2003): http://arXiv.org/abs/astroph/9705178. 4.1.4
 [153]Susa, H., and Umemura, M., “Formation of Primordial Galaxies Under UV Background Radiation”, Astrophys. J., 537, 578–588, (2000). 4.6ADSGoogle Scholar
 [154]Tegmark, M., Zaldarriaga, M., and Hamilton, A.J.S., “Towards a refined cosmic concordance model: joint 11parameter constraints from CMB and largescale structure”, Phys. Rev. D, 63, 043007, (2001). 2.2ADSGoogle Scholar
 [155]Thomas, P.A., Colberg, J.M., Couchman, H.M.P., Efstathiou, G.P., Frenk, C.S., Jenkins, A.R., Nelson, A.H., Hutchings, R.M., Peacock, J.A., Pearce, F.R., and White, S.D.M., “The structure of galaxy clusters in various cosmologies”, Mon. Not. R. Astron. Soc., 296(4), 1061–1071, (June, 1998). Related online version (cited on 3 September 1997): http://arXiv.org/abs/astroph/9707018. 4.5.1ADSGoogle Scholar
 [156]Tuluie, R., Laguna, P., and Anninos, P., “Cosmic Microwave Background Anisotroples from the ReesSciama Effect in Ω_{0} ≤ 1 Universes”, Astrophys. J., 463, 15–25, (1996). 4.1.4ADSGoogle Scholar
 [157]Tuluie, R., Matzner, R.A., and Anninos, P., “Anisotropies of the Cosmic Background Radiation in a Reionized Universe”, Astrophys. J., 446, 447–456, (1995). 4.1.4ADSGoogle Scholar
 [158]Wainwright, J., and Ellis, G.F.R., Dynamical Systems in Cosmology, (Cambridge University Press, Cambridge, U.K.; New York, U.S.A., 1997). 2.2zbMATHGoogle Scholar
 [159]Warren, M.S., and Salmon, J.K., “A Portable Parallel Particle Program”, Computer Phys. Commun., 87, 266–290, (1995). 6.4.3ADSzbMATHGoogle Scholar
 [160]Weaver, M., Isenberg, J.A., and Berger, B.K., “Mixmaster Behavior in Inhomogensous Cosmological Spacetimes”, Phys. Rev. Lett., 80, 2984–2987, (1998). 3.1.2ADSGoogle Scholar
 [161]Weinberg, S., Gravitation and Cosmology: Principles and Applications of the General Theory of Relativity, (Wiley, New York, U.S.A., 1972). 6.2.3Google Scholar
 [162]Wilson, J.R., “A Numerical Method for Relativistic Hydrodynamics”, in Smarr, L.L., ed., Sources of Gravitational Radiation, Proceedings of the Battelle Seattle Workshop, July 24–August 4, 1978, 423–445, (Cambridge University Press, Cambridge, U.K.; New York, U.S.A., 1979). 3.6.1, 6.2.4, 6.2.4Google Scholar
 [163]York Jr, J.W., “Kinematics and Dynamics of General Relativity”, in Smarr, L.L., ed., Sources of Gravitational Radiation, Proceedings of the Battelle Seattle Workshop, July 24–August 4, 1978, 83–126, (Cambridge University Press, Cambridge, U.K.; New York, U.S.A., 1979). 6.1.4, 6.3Google Scholar
 [164]Yoshida, N., Bromm, V., and Hernquist, L., “The Era of Massive Population III Stars: Cosmological Implications and SelfTermination”, Astrophys. J., 605, 579–590, (2004). 4.3ADSGoogle Scholar
 [165]Zel’dovich, Y.B., “Gravitational Instability: An Approximate Theory for Large Density Perturbations”, Astron. Astrophys., 5, 84–89, (1970). 3.6.1, 4.6, 6.4.4ADSGoogle Scholar
 [166]Zhang, Y., Norman, M.L., Anninos, P., and Meiksin, A., “Spectral Analysis of the Lya Forest in a Cold Dark Matter Cosmology”, Astrophys. J., 485, 496–516, (1997). 4.4ADSGoogle Scholar
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