Title: Prsentation PowerPoint
1 Cosmological Simulations of Structure Formation
and the Vlasov Equation
Michael Joyce LPNHE Université de Paris VI
2Work in collaboration with
T. Baertschiger (La Sapienza, Roma) A.
Gabrielli (ISC, Roma), B. Marcos (La Sapienza,
Roma) F. Sylos Labini (Centro Fermi, Roma)
3 Outline
- The problem of structure formation in cosmology
- Cosmological N body simulation (NBS)
- The problem of discreteness in NBS
- Conclusion
4I. Structure formation in cosmology
- There is a now widely accepted and highly
successful standard model in cosmology
Lambda Cold Dark Matter - Uniformly expanding universe perturbations
- Perturbations at early times strongly constrained
by measurements of fluctuations in Cosmic
Microwave Background, - initial small fluctuations ---gt very
structured distribution of galaxies (and other
objects) today by gravitational instability
5CMB t105yrs
galaxies t1010 yrs
6CDM and the Vlasov Equation
- Dark Matter particle-like matter
interacting only by gravity - Cold very low velocity dispersion --gt
non-relativistic - Length scales are those at which gravity is
Newtonian - (expansion gives a simple modification of eom)
- ---gt
- Dynamics of Newtonian particles in an infinite
space starting from quasi-uniform initial
conditions. - Particles are microscopic i.e. very many
particles in regions of size we are interested in - ---gt (??)
- CDM described by Vlasov-Poisson equations
7Derivations of Vlasov-Poisson system
- Qualitatively using estimates of collision times
(e.g. Binney Tremaine) - Truncation of BBGKY hierarchy (e.g. Peebles,
Saslaw) - Coarse-graining of spiky one particle particle
distribution function (cf. Buchert Dominguez) - None of these derivations are rigorous in
particular 2 3 do not establish whether (and
when) the additional terms can be neglected. - Let us assume it is valid.
8 II. Cosmological N body Simulation
- Aim to solve evolution of CDM
- But direct solution of Vlasov-Poisson system is
not numerically feasible gravity forms
structures by collapse, and we thus need to
follow a range of scale in 6-d phase space - Instead solve the N-body problem directly but for
- N ltlt real number of CDM
particles - N 105 in 1980s ----gt 1010 currently ltlt
1080 real
9 Cosmological N body Simulation methods
- N particles in a cubic box periodic boundary
conditions - Newtonian potential with regularization of r0
singularity - Simple change of coordinates to include expansion
of background - Initial conditions particles slightly displaced
off a perfect lattice (see below) - Many different numerical implementations of force
calculation (PM, P3M, tree codes.)
10III. The problem of discreteness in NBS
- Finite N simulation lt----gt Vlasov-Poisson(VP)
equations - In what limit do NBS reproduce VP ?
- What are the corrections at finite N to VP, at a
given spatial scale and time ? - These questions are important both conceptually
and practically observations in the coming years
will require great precision on the results of
NBS. - There are currently only very qualitative and
ambiguous answers to them in the literature on
NBS
11- (The problem of discreteness in NBS)
- The problem is naturally approached in three
parts - Initial conditions
- Early time evolution
- C. Non-linear evolution
-
12 III.A Discreteness in Initial Conditions
Theoretical IC specified entirely by power
spectrum of density fluctuations P(k)
Zeldovich approximation gives displacements
and velocities of fluid elements in a perturbed
self-gravitating fluid. N-body
discretisation Uniform fluid elements ----gt N
particles on a lattice The NBS then has IC whose
correlation properties are a convolution of
those of theoretical model and those oflattice.
13(Discreteness in Initial Conditions) A
characteristic length scale l ( lattice
spacing) is introduced. Expect to recover
theoretical correlation properties for length
scales gtgtl, and for wavenumbers ltlt l-1 Result
Algorithm produces reciprocal space properties
very accurately, but not necessarily real space
ones. In the limit of low amplitude of the input
fluctuations real space properties are not
represented accurately. Is this of dynamical
importance?
14 III.B Discreteness at Early Times
- Early times ? Displacements to lattice are
small - ---gt perturbative treatment completely analogous
to that used in studying crystals (eigenmodes of
displacements etc.) - Main results (cf. Talk of B. Marcos)
- Known perturbative results in fluid
limit(truncated VP) recovered when kl --gt 0
(kwave number, llattice spacing) -
- Temporal evolution of finite fixed N system
diverges from that of Vlasov-Poisson system. - Divergence is exponential, with an exponent which
depends on length scale. - Discreteness effect is due to sparseness, not
collisionality.
15 III.C Discreteness in the non-linear regime
- Perturbative approach breaks downthe full
non-linear problem is very difficultmore
difficult than the Vlasov-Poisson system which we
cant solve to start with! - Aim to
- give numerical procedures for testing for
discreteness - (cf. talk of B. Marcos)
- define the convergence problem clearly (i.e. what
to keep fixed when one changes N) - test for specific effects which should be
negligible in the Vlasov limit e.g. the role
played by two body interactions
16(Discreteness in non-linear regime) Some
results Immediately after perturbative regime,
forces on particles in a perturbed lattice become
strongly dominated by a single nearest
neighbour(NN). Correlations which develop very
well approximated for a time taking into account
only this NN interaction ---gt system is thus not
Vlasov-like in the relevant range of temporal and
spatial scales. Vlasov-like at longer times?
Perhaps, but we have found that the correlation
function which develops with NN interactions
strikingly resembles that at longer times.
17 Conclusion
- Summary
- Cosmologists wish to solve a coupled set of VP
equations - They attempt to do so indirectly through finite N
simulation. - Issue of the relation between the two is poorly
understood, but some progress has been made. - Important not just conceptually but also
practically cosmologists need to know now how
precise their simulations are. - Remarks/questions
- Rigorous derivation of Vlasov-Poisson equation?
- Study of other systems/toy models
- Simulate Vlasov-Poisson directly?
18 Common wisdom on discreteness
- Varying N gives approximately same results. But
(i) modest range of N, and (ii) not all studies
agree - Gravity gives a top-down dynamics which tends
to wipe out effects of discreteness. - Dynamics manifest self-similar (scaling)
solutions from scale-free initial conditions,
which are manifestly independent of discreteness
scale.