The Commonwealth Cosmology Initiative


B.K.Gibson (UCLan), G.F.Lewis (USyd), R.S.Sutherland (ANU), C.J.Fluke (Swinburne), D.Kawata (Carnegie), M.J.Rees (Cambridge), G.Efstathiou (Cambridge), J.Silk (Oxford).
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==Cosmological Visualization== ==Cosmological Visualization==
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-We have entered an era when massive, complex, multi-dimensional cosmological datasets are regularly being generated from major observing campaigns and high-resolution numerical simulations.  
-In the last 30 years, galaxy surveys have grown from ~2,500 galaxies 
-(Davis et al. 1982) to over half a million (e.g. SDSS DR1) due to the 
-availability of multi-object spectrographs and dedicated wide-field survey 
-telescopes. During the same 
-period, cosmological N-body simulations have increased from ~20,000 
-particles (Efstathiou \& Eastwood 1981) to the 10<sup>10</sup> particle Millennium Run  
-(Springel et al. 2005), from the combined effects of improved parallel simulations 
-algorithms and Moore's Law growth in processing power. 
- 
-The principle analysis techniques used to study and compare these 
-datasets are statistical in nature, such as the power spectrum, two- and 
-three-point correlation functions, the luminosity functions, etc. These methods provide valuable 
-information on the overall, ensemble properties of the datasets. 
-What they are less well suited for are identifying anomalies or special cases within 
-the data -- are there features that we cannot understand or explain based 
-on purely statistical approaches? The simplest alternative is visual inspection:  
-there is a great deal of information that can be obtained simply bylooking 
-at the data. 
- 
-Cosmological visualisation is the representation of three-dimensional spatial structures within the Universe, including both observational and simulation datasets. Where such information exists, we extend this definition to include time-evoloving datasets, and derived data products such as merger trees, although this is usually only applicable to numerical simulations. 
- 
-Interactive digital representations of cosmological datasets allow astronomers to rotate, zoom, pand and manipulate datasets. Driven by advances in graphics processing power (thanks to the computer game industry) and display technologies (large format LCD panels and data projectors, key components of the modern home theatre), opportunities for advanced visualisation are now available to more astronomers. 
- 
- 
- 
-[[Projects|Back]] to CCI Projects page. 

Revision as of 22:55, 9 July 2007

Contents

The Dark Ages of the Universe

For more details on CCI projects on the dark ages see here.

The Cosmic Web

For more details on CCI projects on the cosmic web see here.

The Nature of Dark Matter

For more details on CCI projects on the nature of dark matter see here.

Gravitational Lensing

For more details on CCI projects on gravitational lensing see here.

Fundamental Cosmology

For more details on CCI projects on fundamental cosmology see here.

Cosmological Visualization



This research is supported under the Australian Research Council's Discovery funding scheme (project number DP0665574).

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