From c154dc39cb3ea2d0960fe958de46ab92f3ca4548 Mon Sep 17 00:00:00 2001 From: odunbar Date: Mon, 22 Apr 2024 16:55:57 -0700 Subject: [PATCH] replot sinusoid figures with larger fonts --- examples/Sinusoid/calibrate.jl | 3 ++ examples/Sinusoid/emulate.jl | 78 ++++++++++++++++++++++++--- examples/Sinusoid/sample.jl | 12 ++--- examples/Sinusoid/sinusoid_setup.jl | 10 +++- sinusoid_GP_emulator_contours.png | Bin 49481 -> 52543 bytes sinusoid_MCMC_hist_GP.png | Bin 27489 -> 36473 bytes sinusoid_eki_pairs.png | Bin 24444 -> 32688 bytes sinusoid_true_vs_observed_signal.png | Bin 30828 -> 37423 bytes 8 files changed, 88 insertions(+), 15 deletions(-) diff --git a/examples/Sinusoid/calibrate.jl b/examples/Sinusoid/calibrate.jl index 8de90da6..ac610e53 100644 --- a/examples/Sinusoid/calibrate.jl +++ b/examples/Sinusoid/calibrate.jl @@ -115,6 +115,9 @@ p = plot( legend = :bottomright, xlims = (0, 6), ylims = (-6, 10), + guidefontsize = 14, + tickfontsize = 12, + legendfontsize = 12, ) vline!([theta_true[1]], color = :red, style = :dash, label = :false) hline!([theta_true[2]], color = :red, style = :dash, label = :false) diff --git a/examples/Sinusoid/emulate.jl b/examples/Sinusoid/emulate.jl index f13aee37..a735cc3a 100644 --- a/examples/Sinusoid/emulate.jl +++ b/examples/Sinusoid/emulate.jl @@ -14,7 +14,7 @@ # First, we load the packages we need: using LinearAlgebra, Random -using Distributions, Plots +using Distributions, Plots, Plots.PlotMeasures using JLD2 using CalibrateEmulateSample @@ -179,7 +179,15 @@ p2 = contour( ylabel = "Vertical Shift", title = "True Sinusoid Mean", ) -p = plot(p1, p2, size = (600, 300), layout = (1, 2)) +p = plot( + p1, + p2, + size = (600, 300), + layout = (1, 2), + guidefontsize = 14, + tickfontsize = 12, + legendfontsize = 12, +) savefig(p, joinpath(data_save_directory, "sinusoid_groundtruth_contours.png")) # The first panel shows how the range varies with respect to the two parameters in the Gaussian process # emulator. The contours show the range is mostly dependent on the amplitude, with little variation with @@ -212,7 +220,17 @@ p2 = contour( title = "GP Sinusoid Mean", ) plot!(inputs[1, :], inputs[2, :]; seriestype = :scatter, zcolor = outputs[2, :], label = :false) -p = plot(p1, p2, size = (600, 300), layout = (1, 2)) +p = plot( + p1, + p2, + right_margin=3mm, + bottom_margin=3mm, + size = (600, 300), + layout = (1, 2), + guidefontsize = 14, + tickfontsize = 12, + legendfontsize = 12, +) savefig(p, joinpath(data_save_directory, "sinusoid_GP_emulator_contours.png")) # Plot RF emulator contours @@ -238,7 +256,17 @@ p2 = contour( title = "RF Sinusoid Mean", ) plot!(inputs[1, :], inputs[2, :]; seriestype = :scatter, zcolor = outputs[2, :], label = :false) -p = plot(p1, p2, size = (600, 300), layout = (1, 2)) +p = plot( + p1, + p2, + right_margin=3mm, + bottom_margin=3mm, + size = (600, 300), + layout = (1, 2), + guidefontsize = 14, + tickfontsize = 12, + legendfontsize = 12, +) savefig(p, joinpath(data_save_directory, "sinusoid_RF_emulator_contours.png")) # Both the GP and RF emulator give similar results to the ground truth G(θ), indicating they are correctly @@ -272,7 +300,17 @@ p2 = contour( ylabel = "Vertical Shift", title = "GP 1σ in Sinusoid Mean", ) -p = plot(p1, p2, size = (600, 300), layout = (1, 2)) +p = plot( + p1, + p2, + size = (600, 300), + layout = (1, 2), + right_margin=3mm, + bottom_margin=3mm, + guidefontsize = 14, + tickfontsize = 12, + legendfontsize = 12, +) savefig(p, joinpath(data_save_directory, "sinusoid_GP_emulator_std_contours.png")) @@ -299,7 +337,15 @@ p2 = contour( ylabel = "Vertical Shift", title = "RF 1σ in Sinusoid Mean", ) -p = plot(p1, p2, size = (600, 300), layout = (1, 2)) +p = plot( + p1, + p2, + size = (600, 300), + layout = (1, 2), + guidefontsize = 14, + tickfontsize = 12, + legendfontsize = 12, +) savefig(p, joinpath(data_save_directory, "sinusoid_RF_emulator_std_contours.png")) # The GP and RF uncertainty predictions are similar and show lower uncertainties around the region of interest # where we have more training points. @@ -331,7 +377,15 @@ p2 = contour( ylabel = "Vertical Shift", title = "GP error in Sinusoid Mean", ) -p = plot(p1, p2, size = (600, 300), layout = (1, 2)) +p = plot( + p1, + p2, + size = (600, 300), + layout = (1, 2), + guidefontsize = 14, + tickfontsize = 12, + legendfontsize = 12, +) savefig(p, joinpath(data_save_directory, "sinusoid_GP_errors_contours.png")) rf_diff_grid = abs.(rf_grid - g_true_grid) @@ -357,7 +411,15 @@ p2 = contour( ylabel = "Vertical Shift", title = "RF error in Sinusoid Mean", ) -p = plot(p1, p2, size = (600, 300), layout = (1, 2)) +p = plot( + p1, + p2, + size = (600, 300), + layout = (1, 2), + guidefontsize = 14, + tickfontsize = 12, + legendfontsize = 12, +) savefig(p, joinpath(data_save_directory, "sinusoid_RF_errors_contours.png")) # Here, we want the emulator to show the low errors in the region around the true parameter values near θ = (3, 6), diff --git a/examples/Sinusoid/sample.jl b/examples/Sinusoid/sample.jl index fe0cdeff..e2faaa19 100644 --- a/examples/Sinusoid/sample.jl +++ b/examples/Sinusoid/sample.jl @@ -172,9 +172,9 @@ plot_all = plot( layout = layout, size = (600, 600), legend = :true, - guidefontsize = 8, - tickfontsize = 6, - legendfontsize = 6, + guidefontsize = 14, + tickfontsize = 12, + legendfontsize = 12, ) savefig(plot_all, joinpath(data_save_directory, "sinusoid_MCMC_hist_GP.png")) @@ -293,9 +293,9 @@ plot_all = plot( layout = layout, size = (600, 600), legend = :true, - guidefontsize = 8, - tickfontsize = 6, - legendfontsize = 6, + guidefontsize = 14, + tickfontsize = 12, + legendfontsize = 12, ) savefig(plot_all, joinpath(data_save_directory, "sinusoid_MCMC_hist_RF.png")) diff --git a/examples/Sinusoid/sinusoid_setup.jl b/examples/Sinusoid/sinusoid_setup.jl index c6142d5a..61055840 100644 --- a/examples/Sinusoid/sinusoid_setup.jl +++ b/examples/Sinusoid/sinusoid_setup.jl @@ -74,7 +74,15 @@ function generate_obs(amplitude_true, vert_shift_true, Γ; rng = Random.GLOBAL_R # Generate the "true" signal for these parameters signal_true = model(amplitude_true, vert_shift_true; rng = rng) # Plot - p = plot(signal_true, color = :black, linewidth = 3, label = "True signal") + p = plot( + signal_true, + color = :black, + linewidth = 3, + label = "True signal", + guidefontsize = 14, + tickfontsize = 12, + legendfontsize = 12, +) # We will observe properties of the signal that inform us about the amplitude and vertical # position. 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