From 23ecf18de76e8ef873acac89923232987366c7a9 Mon Sep 17 00:00:00 2001 From: Emile Date: Mon, 25 Feb 2019 23:56:29 +0100 Subject: updated the file structure --- src/static/about.html | 137 ++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 137 insertions(+) create mode 100644 src/static/about.html (limited to 'src/static/about.html') diff --git a/src/static/about.html b/src/static/about.html new file mode 100644 index 0000000..2c674d2 --- /dev/null +++ b/src/static/about.html @@ -0,0 +1,137 @@ + + + + + + + + + + + Galaxy Simulator + + + + + + + + + + + + + + + +
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What is this all about?

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  1. + Home +
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  2. 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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