Seperate reference and all vs

Manifest.toml

@@ -102,9 +102,9 @@ version = "0.10.2"
 
 [[deps.CUDA]]
 deps = ["AbstractFFTs", "Adapt", "BFloat16s", "CEnum", "CompilerSupportLibraries_jll", "ExprTools", "GPUArrays", "GPUCompiler", "LLVM", "LazyArtifacts", "Libdl", "LinearAlgebra", "Logging", "Printf", "Random", "Random123", "RandomNumbers", "Reexport", "Requires", "SparseArrays", "SpecialFunctions", "TimerOutputs"]
-git-tree-sha1 = "e2d995efe0e223773a74778ce539e60025b09e52"
+git-tree-sha1 = "3eb49a30d6093dfb6cd60ea66ff681a7db87178a"
 uuid = "052768ef-5323-5732-b1bb-66c8b64840ba"
-version = "3.7.0"
+version = "3.7.1"
 
 [[deps.Cairo]]
 deps = ["Cairo_jll", "Colors", "Glib_jll", "Graphics", "Libdl", "Pango_jll"]

analysis/radial_distribution_function/radial_distribution_function.jl

@@ -139,11 +139,13 @@ function radial_distribution(;
     return (lower_radii, gs, particle_radius)
 end
 
-function plot_radial_distributions(
+function plot_radial_distributions(;
     v₀s::NTuple{N,Float64},
     lower_radii::AbstractVector{Float64},
     gs::Vector{Vector{Float64}},
     particle_radius::Float64,
+    include_comparison::Bool,
+    filename_addition::String="",
 ) where {N}
     println("Plotting the radial distributions")
 
@@ -176,33 +178,41 @@ function plot_radial_distributions(
     )
 
     for (g_ind, g) in enumerate(gs)
+        v₀ = round(Int64, v₀s[g_ind])
         scatterlines!(
-            ax, lower_radii, g; markersize=3, linewidth=0.5, label=L"v_0 = %$(v₀s[g_ind])"
+            ax,
+            lower_radii,
+            g;
+            markersize=3,
+            linewidth=1,
+            label=L"Simulation with $v_0 = %$(v₀)$",
         )
     end
 
-    comparison_curve = CSV.read(
+    if include_comparison
-        "analysis/radial_distribution_function/g_of_r_d_ratio_with_0_37_packing_ratio.csv",
+        comparison_curve = CSV.read(
-        DataFrames.DataFrame;
+            "analysis/radial_distribution_function/g_of_r_d_ratio_with_0_37_packing_ratio.csv",
-        header=3,
+            DataFrames.DataFrame;
-    )
+            header=3,
-    lines!(
+        )
-        ax,
+        lines!(
-        comparison_curve.r_d_ratio,
+            ax,
-        comparison_curve.g_of_r_d_ratio;
+            comparison_curve.r_d_ratio,
-        label="Similar system",
+            comparison_curve.g_of_r_d_ratio;
-        color=:green,
+            label=L"Reference with $v_0 = 0$",
-    )
+            color=:orange,
+        )
+    end
 
     axislegend(ax; position=:rt, padding=3, rowgap=-3)
 
-    save_fig("radial_distribution.pdf", fig)
+    save_fig("radial_distribution$filename_addition.pdf", fig)
 
     return nothing
 end
 
 function run_radial_distribution_analysis()
-    v₀s = (0.0, 20.0)
+    v₀s = (0.0, 40.0, 80.0)
 
     n_particles = 1000
 
@@ -211,10 +221,21 @@ function run_radial_distribution_analysis()
     )
 
     lower_radii, gs, particle_radius = radial_distribution(;
-        sim_dirs=sim_dirs, n_radii=56, n_last_snapshots=200, n_particles=n_particles
+        sim_dirs=sim_dirs, n_radii=58, n_last_snapshots=200, n_particles=n_particles
     )
 
-    plot_radial_distributions(v₀s, lower_radii, gs, particle_radius)
+    plot_radial_distributions(;
+        v₀s=v₀s[1:1], lower_radii, gs=gs[1:1], particle_radius, include_comparison=true
+    )
+
+    plot_radial_distributions(;
+        v₀s=v₀s[1:end],
+        lower_radii,
+        gs=gs[1:end],
+        particle_radius,
+        include_comparison=false,
+        filename_addition="_all_vs",
+    )
 
     return nothing
 end

src/setup.jl

@@ -69,7 +69,7 @@ function gen_sim_consts(
 
     skin_r = skin_to_interaction_r_ratio * interaction_r
 
-    buffer = 2.2
+    buffer = 2.5
     max_approach_after_one_integration_step = buffer * (2 * v₀ * δt)
     @assert skin_r >= interaction_r + max_approach_after_one_integration_step
 
@@ -78,7 +78,7 @@ function gen_sim_consts(
             Int64, (skin_r - interaction_r) / max_approach_after_one_integration_step
         )
     else
-        n_steps_before_verlet_list_update = 1200
+        n_steps_before_verlet_list_update = 1000
     end
 
     grid_n = round(Int64, ceil(sqrt(n_particles)))