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How accurately do N body simulations reproduce the clustering of CDM?
Michael Joyce
LPNHE, Université Paris VI
Work in collaboration with:
T. Baertschiger (La Sapienza, Rome)A. Gabrielli (Istituto dei Sistemi Complessi-CNR , Rome)
B. Marcos & F. Sylos Labini (Centro E. Fermi, Rome)
Outline
Intro:Theory vs. simulation or what is the problem?Qualitative expectations or is it a real problem?
Systematic analytical approaches: (Initial conditions)Perturbative regime
Towards control of the non-linear regimeComments on numerical testingOther approaches
What is the problem?
N body simulations
are not a direct discretization
of the theoretical equations of motion
a “numerically perfect” simulation ≠ theory
What is the problem?
Theory (What one would like to simulate)
Purely self-gravitating microscopic particles (typically ~1070/[Mpc]3)
Treated statistically ---> Vlasov-Poisson equations for f(v,x,t)
“Collisionless” (mean field) limit
Fluid/continuum limit (appropriate N --> )
Physics: separation of scales
scales of discrete “graininess” << scales of clustering
What is the problem?
N body systems (What is in fact simulated)
Purely self-gravitating macroscopic particles (typically ~(1-100)/[Mpc]3)
Direct evolution under Newtonian self-gravity
Expanding background + small scale smoothing on force
What is the problem? The discreteness (finite N) problem
What is the relation between e.g. a correlation function or power spectrum
calculated from output of an NBS and the same quantity in the theory?
Answer: we don’t know !
Since theory is an appropriate N --> limit, the problem may be stated:
what are the corrections due to the use of finite N ?
Is it really a problem?
Is N ~ 1010 (e.g. “Millenium”) not enough?
Answer: it depends on what you want to resolve.
Simulators systematically make very optimistic assumptions
Surely simulators understand and control this?
Answer: No!
There are some (but very few) numerical studies.
In general only qualitative arguments for trusting results are given.
Is it really a problem? The issue of resolution
Unphysical characteristic scales are introduced by the “discretization”:
Interparticle separation l, force smoothing [and box size L, with N=(L/l)3]
Naively: fluid continuum limit for scales >> l
In practice: results are taken as physical (usually) down to , where << l
Why? This is the “interesting” regime (strongly non-linear)…
e.g. “Millenium” simulation: l ≈ 0,25 h-1 Mpc, ≈ 5 h-1 kpc
Is it justified? If so, what are errors?
Is it really a problem? Some common wisdom justifying this practice
Numerical tests show that results are robust to changes in N (---> l)
Some analytical “predictions” work well: notably
Press-Schecter formalism
Self-similar scaling for power law initial power spectra
Physics: “transfer of power to small scales is very efficient”
Is it really a problem? Caveats to this common wisdom
Numerical studies in the literature are
few and unsystematic (other parameters varied --- see below),
very limited range of l (at very most factor of 10, typically by 2)
do not agree (e.g. Melott et al.conclude that extrapolation is not justified)
Physics: PS, self-similarity --> structures form predominantly by collapse, with
linear theory setting the appropriate mass/time scales.
This does not establish validity of Vlasov/fluid description in non-linear regime.
Important: N independence does not imply Vlasov!
Is it really a problem? So..
Our understanding of this fundamental issue about NBS is, at best, qualitative
We need a “theory of discreteness errors” leading to:
A physical understanding of these effects
Methods for quantifying these effects (analytically or numerically)
Rest of talk: A problem in three parts
Initial conditions of simulations
The perturbative regime (up to “shell-crossing”)
The non-linear regime
Analytical approaches I Discreteness effects in initial conditions (IC)
IC are generated by displacing particles off a lattice (or “glass”) using
Zeldovich Approximation.
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QuickTime™ and aTIFF (LZW) decompressorare needed to see this picture.Input theoretical power spectrum
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QuickTime™ and aTIFF (LZW) decompressorare needed to see this picture.Convolution term (linear in Pth)
power spectrum of lattice (or glass)
Analytical approaches I Full power spectrum of discrete IC
Theoretical correlation properties very well represented in reciprocal space for k<kN with discrete contribution at k>kN
In real space (e.g. mass variance) the relation is more complicated (discreteness terms are delocalized)--->In the limit of low amplitude (i.e. high initial red-shift), atfixed N, the real space properties are not represented accurately
Is this of dynamical importance?
Analytical approaches I Conclusions on discreteness in IC
Evolution of N body system can be solved perturbatively in displacements off the lattice
Gives discrete generalisation of Lagrangian perturbative theory for fluid.
---> Recover the fluid limit and study N dependent corrections to it
Analytical approaches II
Perturbative treatment of the N body problem
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Analytical approaches II
Linearisation of the N body problem
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Analytical approaches II
Linear evolution of displacement fields
Analytical approaches II
Eigenvalues for a simple cubic lattice
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Analytical approaches II
Growth of power in “particle linear theory”
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Analytical approaches II
Corrections in amplification due to discreteness
• Simulation begins at a=1 • Deviation from unity is the discreteness effect
Analytical approaches II
What we learn from this perturbative regime
Fluid evolution for a mode k recovered for kl << 1 i.e. as naively expected.
Exact fluid evolution is thus recovered by imposing a cut-off kC in the input
power spectrum, and taking kC l --> 0
Discreteness effects in this regime accumulate in time.
Taking initial red-shift zI -->, at fixed l, the simulation diverges from fluid
(--> zI is a relevant parameter for discreteness!)
These dynamical effects of discreteness are not two-body collision effects
Not analytically tractable (that’s why we use simulations!)
Need at least well defined numerical procedures to quantify discreteness
Some approaches towards understanding physics:
Detailed study of “simplified” simulations (e.g. “shuffled lattice”)
Rigorous studies of simplified toy models
(--> statistical physics of long range interactions)
Towards control on the non-linear regime
Increasing N to test for discreteness effects we should extrapolate towards the correct continuum limit.
Formally it is N --> i.e. l --> 0 (in units of box size)
What do we do with other relevant parameters: , zI, kC ?
(Non-unique) answer: keep them fixed (in units of box size for , kC )
Note: For robust conclusions on NBS we need to extrapolate to l << kC-1
l<< ---> large PM type simulations
Towards control on the non-linear regime
The continuum limit
Lattice with uncorrelated perturbations (<--> random error on
positions)
Power spectrum k2 at small k
Non-expanding space
Findings:
Self-similarity with temporal behaviour of fluid limit
Form of non-linear correlation function already defined in nearest
neighbour dominated (i.e. non-Vlasov) phase.
N body “coarse-grainings” only converge in continuum limit (as above)
Towards control on the non-linear regime
Study of “shuffled lattices”
N body simulators make very optimistic and rigorously unjustified
assumptions about extrapolation to theory
New formalism resolving the problem in the perturbative regime
(--> defined continuum limit, quantifiable error, “correction” of IC)
Physical effects of discreteness are more complex than two body
collisionality + sampling in IC
Numerical tests should extrapolate to continuum limit as defined.
Other numerical and analytical approaches necessary.
Conclusions
References
M. Joyce, B. Marcos, A. Gabrielli, T. Baertschiger, F. Sylos Labini Gravitational evolution of a perturbed lattice and its fluid limitPhys. Rev. Lett. 95:011334(2005)
B. Marcos, T. Baertschiger, M. Joyce, A. Gabrielli, F. Sylos Labini Linear perturbative theory of the discrete cosmological N body problemPhys.Rev. D73:103507(2006)
M. Joyce and B. Marcos, Quantification of discreteness effects in cosmological N body simulations. I: Initial conditionsPhys. Rev. D, in press,(2007)
M. Joyce and B. Marcos, Quantification of discreteness effects in cosmological N body simulations. II: Early time evolution.In preparation (astro-ph soon)
T. Baertschiger M. Joyce, A. Gabrielli, F. Sylos Labini Gravitational Dynamics of an Infinite Shuffled Lattice of Particles Phys.Rev. E , in press (2007)
T. Baertschiger M. Joyce, A. Gabrielli, F. Sylos Labini Gravitational Dynamics of an Infinite Shuffled Lattice: Particle Coarse-grainings, Non-linear Clustering and the Continuum Limit , cond-mat/0612594