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DESCRIPTION
The waterbag method and Vlasov-Poisson equations in 1D: some examples S. Colombi (IAP, Paris) J. Touma (CAMS, Beirut). Context. Tradition: N -body - Poor resolution in phase-space N –body relaxation Aims : direct resolution in phase-space. - PowerPoint PPT PresentationTRANSCRIPT
The waterbag method and Vlasov-Poisson equations in 1D:
some examples
S. Colombi (IAP, Paris)J. Touma (CAMS, Beirut)
Context
• Tradition: N-body- Poor resolution in phase-space- N–body relaxation
• Aims : direct resolution in phase-space.
• Now (almost ?) possible in with modern supercomputers
• Here: 1D gravity (2D phase-space)
Holes
Suspect résonance
x
vPhase-space of a N-body simulation
Note : The waterbag method is very old
Etc…
The waterbag method• Exploits directly the fact that f[q(t),p(t),t]=constant along
trajectories • Suppose that f(q,p) independent of (q,p) in small
patches (waterbags) (optimal configuration: waterbags are bounded by isocontours of f)
• It is needed to follow only the boundary of each patch, which can be sampled with an oriented polygon
• Polygons can be locally refined in order to give account of increasing complexity
Dynamics of sheets: 1D gravity
• Force calculation is reduced to a contour integral
Filamentation: need to add more and more points
Stationnary solution (Spitzer 1942)
t=0
t=300
Ensemble of stationnary profiles
Relaxation of a Gaussian
Few contours Many contours
Merger of 2 stationnary
Energy conservation
Pure waterbags: convergence study toward the cold case
Quasi stationarywaterbag
Projected density:Singularity in r-2/3
Projected density:Singularity in r-1/2
The structure of the core
The logarithmic slope of the potential:Convergence study
Energy conservation
Phase space volume conservation
Adiabatic invariant
Energies
Establishment of the central density profile: f=f0E-5/6 (Binney, 2004)
Effet of random perturbations
Energy conservation
Phase space volume conservation
Effect of the perturbations on the slope
Refinement during runtime
Normal case The curvature is changing sign
TVD interpolation (no creation of artificial curvature terms)
Note: in the small angle regime :
Time-step: standard Leapfrog(or predictor corrector if varying time step)
Better sampling of initial conditions: Isocontours
• Construction of the oriented polygon following isocontours of f using the marching cube algorithm
• Contour distribution computed such that the integral of (fsampled-ftrue)2 is bounded by a control parameter
• Stationary solution (Spitzer 1942)
Total mass
Total energy