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Seperate reference and all vs
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commit
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3 changed files with 43 additions and 22 deletions
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@ -102,9 +102,9 @@ version = "0.10.2"
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[[deps.CUDA]]
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[[deps.CUDA]]
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deps = ["AbstractFFTs", "Adapt", "BFloat16s", "CEnum", "CompilerSupportLibraries_jll", "ExprTools", "GPUArrays", "GPUCompiler", "LLVM", "LazyArtifacts", "Libdl", "LinearAlgebra", "Logging", "Printf", "Random", "Random123", "RandomNumbers", "Reexport", "Requires", "SparseArrays", "SpecialFunctions", "TimerOutputs"]
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deps = ["AbstractFFTs", "Adapt", "BFloat16s", "CEnum", "CompilerSupportLibraries_jll", "ExprTools", "GPUArrays", "GPUCompiler", "LLVM", "LazyArtifacts", "Libdl", "LinearAlgebra", "Logging", "Printf", "Random", "Random123", "RandomNumbers", "Reexport", "Requires", "SparseArrays", "SpecialFunctions", "TimerOutputs"]
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git-tree-sha1 = "e2d995efe0e223773a74778ce539e60025b09e52"
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git-tree-sha1 = "3eb49a30d6093dfb6cd60ea66ff681a7db87178a"
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uuid = "052768ef-5323-5732-b1bb-66c8b64840ba"
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uuid = "052768ef-5323-5732-b1bb-66c8b64840ba"
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version = "3.7.0"
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version = "3.7.1"
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[[deps.Cairo]]
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[[deps.Cairo]]
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deps = ["Cairo_jll", "Colors", "Glib_jll", "Graphics", "Libdl", "Pango_jll"]
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deps = ["Cairo_jll", "Colors", "Glib_jll", "Graphics", "Libdl", "Pango_jll"]
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@ -139,11 +139,13 @@ function radial_distribution(;
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return (lower_radii, gs, particle_radius)
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return (lower_radii, gs, particle_radius)
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end
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end
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function plot_radial_distributions(
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function plot_radial_distributions(;
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v₀s::NTuple{N,Float64},
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v₀s::NTuple{N,Float64},
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lower_radii::AbstractVector{Float64},
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lower_radii::AbstractVector{Float64},
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gs::Vector{Vector{Float64}},
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gs::Vector{Vector{Float64}},
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particle_radius::Float64,
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particle_radius::Float64,
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include_comparison::Bool,
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filename_addition::String="",
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) where {N}
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) where {N}
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println("Plotting the radial distributions")
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println("Plotting the radial distributions")
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@ -176,11 +178,18 @@ function plot_radial_distributions(
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)
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)
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for (g_ind, g) in enumerate(gs)
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for (g_ind, g) in enumerate(gs)
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v₀ = round(Int64, v₀s[g_ind])
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scatterlines!(
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scatterlines!(
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ax, lower_radii, g; markersize=3, linewidth=0.5, label=L"v_0 = %$(v₀s[g_ind])"
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ax,
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lower_radii,
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g;
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markersize=3,
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linewidth=1,
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label=L"Simulation with $v_0 = %$(v₀)$",
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)
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)
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end
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end
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if include_comparison
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comparison_curve = CSV.read(
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comparison_curve = CSV.read(
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"analysis/radial_distribution_function/g_of_r_d_ratio_with_0_37_packing_ratio.csv",
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"analysis/radial_distribution_function/g_of_r_d_ratio_with_0_37_packing_ratio.csv",
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DataFrames.DataFrame;
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DataFrames.DataFrame;
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@ -190,19 +199,20 @@ function plot_radial_distributions(
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ax,
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ax,
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comparison_curve.r_d_ratio,
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comparison_curve.r_d_ratio,
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comparison_curve.g_of_r_d_ratio;
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comparison_curve.g_of_r_d_ratio;
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label="Similar system",
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label=L"Reference with $v_0 = 0$",
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color=:green,
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color=:orange,
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)
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)
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end
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axislegend(ax; position=:rt, padding=3, rowgap=-3)
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axislegend(ax; position=:rt, padding=3, rowgap=-3)
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save_fig("radial_distribution.pdf", fig)
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save_fig("radial_distribution$filename_addition.pdf", fig)
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return nothing
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return nothing
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end
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end
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function run_radial_distribution_analysis()
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function run_radial_distribution_analysis()
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v₀s = (0.0, 20.0)
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v₀s = (0.0, 40.0, 80.0)
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n_particles = 1000
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n_particles = 1000
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@ -211,10 +221,21 @@ function run_radial_distribution_analysis()
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)
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)
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lower_radii, gs, particle_radius = radial_distribution(;
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lower_radii, gs, particle_radius = radial_distribution(;
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sim_dirs=sim_dirs, n_radii=56, n_last_snapshots=200, n_particles=n_particles
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sim_dirs=sim_dirs, n_radii=58, n_last_snapshots=200, n_particles=n_particles
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)
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)
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plot_radial_distributions(v₀s, lower_radii, gs, particle_radius)
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plot_radial_distributions(;
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v₀s=v₀s[1:1], lower_radii, gs=gs[1:1], particle_radius, include_comparison=true
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)
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plot_radial_distributions(;
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v₀s=v₀s[1:end],
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lower_radii,
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gs=gs[1:end],
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particle_radius,
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include_comparison=false,
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filename_addition="_all_vs",
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)
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return nothing
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return nothing
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end
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end
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@ -69,7 +69,7 @@ function gen_sim_consts(
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skin_r = skin_to_interaction_r_ratio * interaction_r
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skin_r = skin_to_interaction_r_ratio * interaction_r
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buffer = 2.2
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buffer = 2.5
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max_approach_after_one_integration_step = buffer * (2 * v₀ * δt)
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max_approach_after_one_integration_step = buffer * (2 * v₀ * δt)
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@assert skin_r >= interaction_r + max_approach_after_one_integration_step
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@assert skin_r >= interaction_r + max_approach_after_one_integration_step
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@ -78,7 +78,7 @@ function gen_sim_consts(
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Int64, (skin_r - interaction_r) / max_approach_after_one_integration_step
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Int64, (skin_r - interaction_r) / max_approach_after_one_integration_step
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)
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)
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else
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else
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n_steps_before_verlet_list_update = 1200
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n_steps_before_verlet_list_update = 1000
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end
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end
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grid_n = round(Int64, ceil(sqrt(n_particles)))
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grid_n = round(Int64, ceil(sqrt(n_particles)))
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