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| author | Christian Kolset <christian.kolset@gmail.com> | 2025-11-17 16:42:04 -0700 |
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| committer | Christian Kolset <christian.kolset@gmail.com> | 2025-11-17 16:42:04 -0700 |
| commit | 7a713b1e67a255c285eef45d172ba0a1286987c3 (patch) | |
| tree | e73f76f0940e4946c2c75f89d67e3b815bc29d76 /tutorials/module_4/Schlieren example.md | |
| parent | 922e5d874d4ae522fd9e5090b4f4f949b532b8e5 (diff) | |
Started working on schlieren imaging example (CFD)
Diffstat (limited to 'tutorials/module_4/Schlieren example.md')
| -rw-r--r-- | tutorials/module_4/Schlieren example.md | 13 |
1 files changed, 0 insertions, 13 deletions
diff --git a/tutorials/module_4/Schlieren example.md b/tutorials/module_4/Schlieren example.md deleted file mode 100644 index f4eb6c2..0000000 --- a/tutorials/module_4/Schlieren example.md +++ /dev/null @@ -1,13 +0,0 @@ -Summary of things to ask students to do: - -- Read density images (txt files) into Python -- Compute density gradient at each pixel in the image for a bunch of images -- Make schlieren movie out of the density gradient files -- For density images between 1 - 10 us cut the image over the central plane of the kernel and plot Density vs. Radius. Obtain Temperature vs. Radius for a given pressure of 1 atm using equation of state. - - -Read density data. -Compute density gradient for each image -Make Schlieren image for each - - |