From b7e66de7f6469c3806505bfd7c33715d1a52f01a Mon Sep 17 00:00:00 2001 From: hanemile Date: Tue, 29 Jan 2019 01:52:47 +0100 Subject: Added an about page --- src/about.html | 133 +++++++++++++++++++++++++++++++++++ src/images/example_boxes_750x450.png | Bin 0 -> 22004 bytes src/images/pointcloud_400x600.png | Bin 0 -> 136158 bytes src/images/pointcloud_400x800.png | Bin 0 -> 143246 bytes src/index.html | 5 +- 5 files changed, 134 insertions(+), 4 deletions(-) create mode 100644 src/about.html create mode 100644 src/images/example_boxes_750x450.png create mode 100644 src/images/pointcloud_400x600.png create mode 100644 src/images/pointcloud_400x800.png (limited to 'src') diff --git a/src/about.html b/src/about.html new file mode 100644 index 0000000..09ee9ec --- /dev/null +++ b/src/about.html @@ -0,0 +1,133 @@ + + + + + + + + + + + Galaxy Simulator + + + + + + + + + + + + + + + +
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What is this all about?

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What is this all about?

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+ The Goal of this complete project is to simulate galaxies. So the obvious two steps are: 1. Generating + point clouds and 2. simulating the pointclouds that we generated.

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This all started when Tim Tugendhat invited me to Heidelberg to help visualize the NFW-function. + After we made som visualizations, we started generating our own clusters using the + Navarro Frenk White + profile. That was so much fun that I quickly started generating more and more stars and optimized + the complete process. +

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+ I then started to think about stuff to do with the millions of stars I generated and realized that + Simulating the clusters would be a very hard, but informative task to learn new skills. +

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Generating the pointclouds

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+ In the aftermath, generating the pointclouds was one of the easier parts of the project. + A detailed summary on how the stars are generated can be found in the + writeup. +

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+ The process short version can be explained in the following way: Create a star, test if it should be kept + or not, keep it if yes and repeat the process if not. The Process is repeated few thousand times and in the + end, a clusted of objects apears on the screen. + The Navarro Frenk White + profile is used to determine what star is kept and what star is discarded. +

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+ Using this technique, a lot of stars can be generated, and because of all the computations running + independently, this whole process scales very well. After containerizing the software generating random + stars and sorting "bad ones" out, it can be thrown onto a cluster of computers who generate stars 24/7 +

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