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Visualisations of extragalctic space and large-scale structures

Visualisations of extragalctic space and large-scale structures. Using ‘Labyrinth’ software developed by Carl Hultquist and Samesham Perumal Departments of Computer Science University of Cape Town. An introduction to Labyrinth.

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Visualisations of extragalctic space and large-scale structures

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  1. Visualisations of extragalctic spaceand large-scale structures Using ‘Labyrinth’ software developed by Carl Hultquist and Samesham Perumal Departments of Computer Science University of Cape Town

  2. An introduction to Labyrinth This software allows one to visualise a galaxy database from any chosen position, looking in any chosen direction. One can also interactively fly around the database (although the presentation here uses still frames).

  3. Lets start by looking at some data with the galaxies Represented as white points

  4. The readouts in the lower left corner give direction of view and position in Cartesian Supergalactic coordinates

  5. Labels can be turned on to identify features

  6. Colour coding can be introduced to represent distance. Nearest galaxies red, distant galaxies blue

  7. This enables a steroscopic view of the distribution using ChromoDepth™ spectacles

  8. But instead of this distracting false colour…

  9. ..we change the coding to white (near) to blue (far), which works with or without spectacles

  10. Labyrinth also lets us fade background structures…

  11. Now we see only the nearest galaxies, which can also be shown ..

  12. ..as billboards, with images to scale, so giving a realistic visualisation of extragalactic space.

  13. But the main purpose of Labyrinth is to grow “Tully bubbles” around groups and clusters of galaxies

  14. The bubbles can be made completely opaque

  15. The individual galaxies need not be shown

  16. The Software identifies Minimal Spanning Trees (MSTs) and wraps a surface around them. A minimum number of galaxies per MST can be specified

  17. The MSTs are specified by a percolation radius (r) At cz = 0 To compensate for the diminishing density of data with increasing redshift, the percolation radius is increased with incresing cz. In this way the average density of bubbles stays more or less constant with increasing distance

  18. As the bubbles grow, they interconnect to reveal the web of large-scale structures

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