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Three-dimensional Visualization of Cosmological and Galaxy Formation Simulations

Published online by Cambridge University Press:  05 December 2011

Bruno Thooris
Affiliation:
CEA/IRFU, Saclay 91191 Gif-sur-Yvette, France email: bruno.thooris@cea.fr, daniel.pomarede@cea.fr
Daniel Pomarède
Affiliation:
CEA/IRFU, Saclay 91191 Gif-sur-Yvette, France email: bruno.thooris@cea.fr, daniel.pomarede@cea.fr
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Abstract

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Our understanding of the structuring of the Universe from large-scale cosmological structures down to the formation of galaxies now largely benefits from numerical simulations. The RAMSES code, relying on the Adaptive Mesh Refinement technique, is used to perform massively parallel simulations at multiple scales. The interactive, immersive, three-dimensional visualization of such complex simulations is a challenge that is addressed using the SDvision software package. Several rendering techniques are available, including ray-casting and isosurface reconstruction, to explore the simulated volumes at various resolution levels and construct temporal sequences. These techniques are illustrated in the context of different classes of simulations. We first report on the visualization of the HORIZON Galaxy Formation Simulation at MareNostrum, a cosmological simulation with detailed physics at work in the galaxy formation process. We then carry on in the context of an intermediate zoom simulation leading to the formation of a Milky-Way like galaxy. Finally, we present a variety of simulations of interacting galaxies, including a case-study of the Antennae Galaxies interaction.

Type
Contributed Papers
Copyright
Copyright © International Astronomical Union 2011

References

Agertz, O., Teyssier, R., Block, D., & Moore, B., 2009, MNRAS, 397, L64Google Scholar
Audit, E., Pomarède, D., Teyssier, R., & Thooris, B., 2006, ASPCS, 359, 9Google Scholar
Bournaud, F., Elmegreen, B. G., Teyssier, R., Block, D., & Puerari, I., 2010, MNRAS, 409, 1088Google Scholar
Bournaud, F., et al. 2011, ApJ, accepted (arXiv:1006.4782)Google Scholar
Pomarède, D. et al. 2008, ASPCS, 386, 327Google Scholar
Pomarède, D. et al. 2008, IEEE Computer Society Conf. Proc., CGIV08, 295Google Scholar
Pomarède, D., Fidaali, Y., & Teyssier, R., 2009, ASPCS, 406, 317Google Scholar
Teyssier, R., 2002, A&A, 385, 337Google Scholar
Teyssier, R., Chapon, D., & Bournaud, F. 2010, ApJ, 720, L149Google Scholar