Hostname: page-component-78c5997874-ndw9j Total loading time: 0 Render date: 2024-11-11T23:10:00.889Z Has data issue: false hasContentIssue false

Interactive Visualization of 3D Redshift Surveys with SDvision

Published online by Cambridge University Press:  05 December 2011

Daniel Pomarède
Affiliation:
CEA/IRFU, Saclay 91191 Gif-sur-Yvette, France email: daniel.pomarede@cea.fr, marguerite.pierre@cea.fr
Marguerite Pierre
Affiliation:
CEA/IRFU, Saclay 91191 Gif-sur-Yvette, France email: daniel.pomarede@cea.fr, marguerite.pierre@cea.fr
Rights & Permissions [Opens in a new window]

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

The three-dimensional visualization of redshift surveys is a key player in the comprehension of the structuration of the cosmic web. The SDvision software package, intended primarily for the visualization of massive cosmological simulations, has been extended to provide an interactive visual representation of different classes of redshift surveys, with the objective to enable direct comparisons between the rare highest-density peaks traced by the clusters of galaxies found in the XMM-LSS Survey and the densely populated catalogues of galaxy photometric redshifts. We present the various possibilities offered by this tool in terms of filtering of the data, reconstruction of density fields, interactivity and visual rendering, including various techniques such as ray-casting, isosurfaces, slicing and texturing. This is illustrated using the C1 and C2 samples of the XMM-LSS Survey, and the publicly released COSMOS and CFHTLS photometric redshift Catalogs. Comparisons with published results are presented and discussed.

Type
Contributed Papers
Copyright
Copyright © International Astronomical Union 2011

References

Audit, E., Pomarède, D., Teyssier, R., & Thooris, B., 2006, ASPCS, 359, 9Google Scholar
Coupon, J., et al. 2009, A&A, 500, 981Google Scholar
Ilbert, O., et al. 2009, ApJ, 690, 1236CrossRefGoogle Scholar
Kovač, K., et al. 2010, ApJ, 708, 505CrossRefGoogle Scholar
Pacaud, F., et al. 2007, MNRAS, 382, 1289CrossRefGoogle Scholar
Pierre, M., et al. 2004, JCAP, 09, 011CrossRefGoogle Scholar
Pierre, M., et al. 2011, MNRAS sub (arXiv:1009.3182)Google Scholar
Pomarède, D., et al. 2008, ASPCS, 386, 327Google Scholar
Scoville, N., et al. 2007, ApJS, 172, 150CrossRefGoogle Scholar