starting on the presentation
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nbody/presentation/main.pdf
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nbody/presentation/main.pdf
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nbody/presentation/main.typ
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nbody/presentation/main.typ
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#import "@preview/diatypst:0.2.0": *
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#import "@preview/based:0.2.0": base64
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#set text(font: "Cantarell")
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// #set heading(numbering: (..nums)=>"")
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#show: slides.with(
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title: "N-Body project ",
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subtitle: "Computational Astrophysics, HS24",
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date: "04.02.2024",
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authors: ("Rémy Moll"),
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toc: false,
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// layout: "large",
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)
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// Helpers for code block displaying
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#let cell_matcher(cell, cell_tag) = {
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if cell.cell_type != "code" {
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return false
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}
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let metadata = cell.metadata
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if metadata.keys().contains("tags") == false {
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return false
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}
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return cell.metadata.tags.contains(cell_tag)
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}
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#let code_cell(fcontent, cell_tag) = {
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let cells = fcontent.cells
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let matching_cell = cells.find(x => cell_matcher(x, cell_tag))
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let cell_content = matching_cell.source
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// format the cell content
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let single_line = cell_content.fold("", (acc, x) => acc + x)
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text(
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raw(
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single_line,
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lang: "python",
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block: true
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),
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size: 0.8em
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)
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}
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#let image_cell(fcontent, cell_tag) = {
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let cells = fcontent.cells
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let matching_cell = cells.find(x => cell_matcher(x, cell_tag))
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let outputs = matching_cell.outputs
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for output in outputs {
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let image_data = output.at("data", default: (:)).at("image/png", default: none)
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if image_data != none {
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align(
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center,
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image.decode(
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base64.decode(image_data),
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// format: "png",
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height: 70%
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)
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)
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}
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}
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}
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// Where is the code?
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#let t1 = json("../task1.ipynb")
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#let t2 = json("../task2-particle-mesh.ipynb")
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// Content
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= N-body forces and analytical solutions
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== Objective
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Implement naive N-body force computation and get an intuition of the challenges:
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- accuracy
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- computation time
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- stability
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$=>$ still useful to compute basic quantities of the system, but too limited for large systems or the dynamical evolution of the system
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== Overview - the system
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Get a feel for the particles and their distribution. [Code at @task1:plot_particle_distribution[]]
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#image_cell(t1, "plot_particle_distribution")
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#code_cell(t1, "plotting")
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== Inspecting the data
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#code_cell(t2, "plotting")
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#image_cell(t2, "plotting")
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== Density
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Some images about the density
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== N Body and variations
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sdsd
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== Relaxation
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sd
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= Default Styling in diatypst
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== Terms, Code, Lists
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_diatypst_ defines some default styling for elements, e.g Terms created with ```typc / Term: Definition``` will look like this
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/ *Term*: Definition
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A code block like this
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```python
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// Example Code
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print("Hello World!")
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```
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Lists have their marker respect the `title-color`
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#columns(2)[
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- A
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- AAA
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- B
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#colbreak()
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1. AAA
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2. BBB
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3. CCC
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]
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= Appendix - Code
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== Code
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<task1:plot_particle_distribution>
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#code_cell(t1, "plot_particle_distribution")
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