Benutzerspezifische Werkzeuge
Sie sind hier: Startseite Visualisation scientificData Projects

Projects

A selection of ongoing and completed visualization projects supported by RZG

Neutrino-driven core collapse supernova (Type-II) dynamics in 3D

Visualization of a Core-Collapse Supernova Simulation in 3D

Astrophysical scenario: neutrino-driven explosion of a massive star

Simulation: F. Hanke, A. Marek, B. Müller, & H. Th. Janka (MPI for Astrophysics)

Simulation Code: VERTEX (3D Hydrodynamics & Boltzmann neutrino transport)

Visualization approach (E. Erastova & M. Rampp, RZG, 2013):

  • main objectives: interactive data exploration, visualization of the dynamics of large-scale hydrodynamical instabilities ("SASI")
  • tool: VisIt

References:

  • F. Hanke, B. Mueller, A. Wongwathanarat, A. Marek, H.-Th. Janka: SASI Activity in Three-Dimensional Neutrino-Hydrodynamics Simulations of Supernova Cores (arXiv:1303.6269)
  • Stellar Hydrodynamics at MPA

 

Visualization of bird migration

 

bird migration visualization

Bird migration ist studied at the Max Planck Institute for Ornithology. Data from GPS loggers carried by birds are correlated with wind and topography data to better understand the migration.

This animated visualization first shows points in 3d space only (i.e. raw data from a GPS logger). The points are then connected to represent the migration path. Then, the underlying topography is added followed by arrows representing the wind field.

The second part of the animation is fully time dependent. The camera follows the bird, and it becomes evident that the bird reacts to changes in the wind field and to the topography.

More information:

Visualization by K. Reuter, RZG.

 

Core collapse supernova (Type-II) explosion dynamics in 3D

Visualization of a Core-Collapse Supernova Simulation in 3D

Astrophysical scenario: neutrino-driven explosion of a massive star

Simulation: F. Hanke, A. Marek, B. Müller, & H. Th. Janka (MPI for Astrophysics)

Simulation Code: PROMETHEUS (3D Hydrodynamics) with simplified neutrino physics

Visualization approach (E. Erastova & M. Rampp, RZG, 2011):

  • main objectives: interactive data exploration, visualization of the dynamics of large-scale hydrodynamical instabilities ("SASI")
  • 400 x 60 x 120 zones on a non-uniform, time-dependent polar grid, approx. 1000 HDF5 output files a 1 GB
  • tool: VisIt

References:

 

Visualization of Tracer Particles in Turbulent Magnetohydrodynamic Convection

Physical Scenario: Turbulent convection of an electrically conducting fluid or plasma.

Simulation: J. Pratt, W.-C. Müller (Max-Planck-Institute for Plasma Physics)

Visualization: Passive tracer particles and a background field are displayed simultaneously as functions of time. Visualization approach by K. Reuter (RZG) using VisIt.

 

Visualization and Quantitative Analysis of Point Data from Smoothed-Particle Hydrodynamics (SPH) Simulations

example of SPH Delaunay triangulation

Challenge

Output from SPH simulations is usually given by point clouds with millions of entities (billions in future), each of which contains local information on physical quantities such as temperature or mass density.  While specialized tools produce visually appealing volume renderings (e.g. SPLOTCH), most state-of-the-art visualization packages fail to handle point clouds properly.  On the other hand, these packages offer a plethora of attractive possibilities for quantitative data analysis of gridded data, e.g., for producing contour plots on arbitrary planes through the simulation domain.

Solution

A code package was developed at RZG to create unstructured grids from SPH point data.  The fast three dimensional Delaunay triangulation provided by qhull is used.  The resulting unstructured grid is written together with the point data in a legacy file format which can be read by applications such as Paraview or VisIt.  A serial domain decomposition technique is implemented to keep the memory footprint of the program low.  Hence, datasets of arbitrary size can be handled.

Cooperation

Klaus Reuter (RZG), Claudia Simion (TUM), Claudio Dalla Vecchia (MPE), Markus Rampp (RZG), Sadegh Khochfar (MPE)

Source code

The code package may be obtained upon request for use on RZG systems.

References

 

Mixing Instabilities in Type-II Supernova Explosions 

Nuclear composition Ni (blue), O (red), C (green)

Astrophysical scenario: 3D-Simulations of Mixing Instabilities in Type-II Supernova Explosions

Simulation: N. Hammer, H.-Th. Janka, E. Müller (MPI for Astrophysics)

Simulation Code: PROMETHEUS

Visualization approach (M. Rampp, 2009/2010):

  • main objectives: exploration, quantitative analysis and visualization of the dynamics and morphology of the nuclear composition
  • rectilinear (polar) grids with 500x180x360 zones per timestep
  • tool: VisIt ("multi-channel" volume rendering, isosurfaces, 2D-slices)

Results:

References:

 

 Merger of a white dwarf binary system 

wdmerger.png

Astrophysical scenario: Merger of a white dwarf binary system as a Type Ia supernova progenitor

Simulation: R.Pakmor et al. (MPI for Astrophysics)

Simulation Code: GADGET

Visualization approach (E. Erastova, M. Rampp, 2009/2010):

  • approx. 2 Million SPH particles per timestep
  • tool: Splotch (ray-casting tailored to visualization of SPH data)

 

Results:

References:

 

Merging Neutron Stars 

nsmerger

Astrophysical scenario: Dynamic merger phase of a binary neutron star system

Simulation: A.Bauswein & H.-Th.Janka (MPI for Astrophysics)

Simulation Code: relativistic smoothed particle hydrodynamics (SPH) code by Oechslin et al.

Visualization approach (M. Rampp, 2009):

  • approx. 500000 SPH particles per timestep
  • tools: Splotch (ray-casting tailored to visualization of SPH data), VisIt

 Results:

References:

 

Impact of Type Ia Supernovae on Binary Companions

sn1aimpact

Astrophysical scenario: Impact of type Ia supernova on its main sequence binary companion

Simulation: R.Pakmor (MPI for Astrophysics)

Simulation Code: GADGET

Visualization approach (M. Rampp, R.Bruckschen, RZG, R.Pakmor, 2009):

  • approx. 9 Million SPH particles per timestep
  • tool: Splotch (ray-casting tailored to visualization of SPH data)

Results:

References:

 

MHD Turbulence Simulations 

MHD turbulence

Physical scenario: study of basic theoretical aspects of turbulence in plasmas in the framework of magnetohydrodynamics (MHD)

Simulation: W.C. Müller (IPP)

Simulation Code: MHD

Visualization approach (S.Malapaka, IPP & R.Bruckschen, RZG, 2008/2009):

  • main objectives: exploration, analysis and visualization of massive datasets
  • rectilinear (cartesian) grids with 10243...20483 zones
  • tool: VisIt (parallel ray-casting, isosurfaces, ...)

 

References:

 

Core collapse supernova (Type-II) explosion

Core collapse supernova

Astrophysical scenario: neutrino-driven explosion of a massive star

Simulation: A.Marek, H.Th.Janka (MPI for Astrophysics)

Simulation Code: VERTEX (Boltzmann neutrino radiation hydrodynamics in 2D)

Visualization approach (M. Rampp, RZG, 2008/2009):

  • main objectives: interactive data exploration, visualization of the dynamics of large-scale hydrodynamical instabilities ("SASI")
  • 500 x 128 zones on a non-uniform, time-dependent polar grid
  • tool: VisIt (parallel ray-casting)

Results:

References:

 

Turbulence in Fusion Plasmas 

Fusion Plasma

Physical scenario: fluctuations in a thermonuclear fusion plasma (tokamak geometry)

Simulation: M.Püschel, F.Jenko (IPP)

Simulation Code: GENE (gyrokinetic turbulence)

Visualization approach (R.Bruckschen & J.Mejia, RZG, 2007):

  • main objectives: animation and interactive analysis of time-dependent data sets (3D impression, dynamics), development of a tailored visualization toolkit
  • mapping of flux-tube coordinates to real space (torus) sampled by 1280 x 480 x 96 grid points
  • out-of-core shader-based method
  • point-based pseudo volume rendering
  • Java application (JOGL API) for portability

 

References:

 

Thermonuclear Supernova (Type-Ia) explosion 

sn1a_defl

Astrophysical scenario: thermonuclear deflagration of a white dwarf star

Simulation: F.Röpke, W. Hillebrandt (MPI for Astrophysics)

Simulation Code: SUCCESs (finite volume hydrodynamics + level-set method for thermonuclear burning fronts)

Visualization approach (R.Bruckschen, RZG, 2007):

  • main objectives: combined volume rendering of the complete time-dependent dataset
    • stellar structure: scalar density field on the moving, rectilinear 10243 grid
    • deflagration front: level set renderend as a semi-transparent cloud of points
  • out-of-core rendering with hybrid display (point based/volume rendering)
  • interactive preview, movie mode with high fidelity transparency

References:

 

The "Millenium simulation" (formation and evolution of structure in the universe) 

millenium

Astrophysical scenario: formation and evolution of structure in the universe

Simulation: V.Springel, S.White (MPI for Astrophysics)

Simulation code: GADGET-2 (cosmological N-body/SPH), ~ 1010 particles in 3D

Visualization approach (R.Bruckschen, RZG, 2006):

  • main objectives: interactive exploration ("fly-through") of individual time-slices at full resolution
  • visibility-based out-of-core method using a spatial subdivision scheme
  • quantization based on local bounding boxes (low error)
  • GPU shader based de-quantification and rendering

References:

  • V. Springel et al. Simulations of the formation, evolution and clustering of galaxies and quasars. Nature (2005).

  • Galaxy Formation Group at MPA

 

Artikelaktionen