Small fixes

examples/.gitignore

@@ -2,3 +2,5 @@
 *.pdf
 *.png
 *.mp4
+# Ignore profiling outputs
+profile/*

examples/visualise-jets-pluto.jl

@@ -1,16 +1,18 @@
 ### A Pluto.jl notebook ###
-# v0.19.42
-
-# Do not format this code, it's under the control of the Pluto.jl notebook
-#! format: off
+# v0.19.45
 
 using Markdown
 using InteractiveUtils
 
 # This Pluto notebook uses @bind for interactivity. When running this notebook outside of Pluto, the following 'mock version' of @bind gives bound variables a default value (instead of an error).
 macro bind(def, element)
     quote
-        local iv = try Base.loaded_modules[Base.PkgId(Base.UUID("6e696c72-6542-2067-7265-42206c756150"), "AbstractPlutoDingetjes")].Bonds.initial_value catch; b -> missing; end
+        local iv = try
+            Base.loaded_modules[Base.PkgId(Base.UUID("6e696c72-6542-2067-7265-42206c756150"),
+                                           "AbstractPlutoDingetjes")].Bonds.initial_value
+        catch
+            b -> missing
+        end
         local el = $(esc(element))
         global $(esc(def)) = Core.applicable(Base.get, el) ? Base.get(el) : iv(el)
         el
@@ -39,36 +41,35 @@ This Pluto script visualises the result of a jet reconstruction process.
 
 Use the sliders below to change the reconstructed event, the algorithm and the jet radius parameter."""
 
-# ╔═╡ 0642cc6e-290e-4e01-9882-5c12d7585ead
-
-
 # ╔═╡ 4e569f74-570b-4b30-9ea7-9cbc420f50f8
 md"Event number:"
 
 # ╔═╡ 83030910-8d00-4949-b69e-fa492b61db6b
-@bind event_no PlutoUI.Slider(1:100, show_value=true)
+@bind event_no PlutoUI.Slider(1:100, show_value = true)
 
 # ╔═╡ 306f6e66-788c-4a95-a9df-3ac4c37cf776
 md"``k_T`` algorithm power (-1=Anti-``k_T``, 0 = Cambridge/Aachen, 1=Inclusive kT)"
 
 # ╔═╡ 864d7a31-b634-4edc-b6c4-0835fee53304
-@bind power PlutoUI.Slider(-1:1, show_value=true)
+@bind power PlutoUI.Slider(-1:1, show_value = true)
 
 # ╔═╡ 9f7988a5-041e-4a83-9da9-d48db34cea98
 md"Jet radius parameter"
 
 # ╔═╡ 187315d4-ac3c-4847-ae00-e7da1b27d63f
-@bind radius PlutoUI.Slider(range(start=0.4, stop=2.0, step=0.1), show_value=true)
+@bind radius PlutoUI.Slider(range(start = 0.4, stop = 2.0, step = 0.1), show_value = true)
 
 # ╔═╡ 79f24ec1-a63e-4e96-bd67-49661125be66
-input_file = joinpath(dirname(pathof(JetReconstruction)), "..", "test", "data", "events.hepmc3.gz")
+input_file = joinpath(dirname(pathof(JetReconstruction)), "..", "test", "data",
+                      "events.hepmc3.gz")
 
 # ╔═╡ 7d7a8b11-19b3-4b83-a0b1-8201b74b588e
-events::Vector{Vector{PseudoJet}} = read_final_state_particles(input_file, 
-    maxevents = event_no, skipevents = event_no);
+events::Vector{Vector{PseudoJet}} = read_final_state_particles(input_file,
+                                                               maxevents = event_no,
+                                                               skipevents = event_no);
 
 # ╔═╡ 2a899d67-71f3-4fe0-8104-7633a44a06a8
-cs = jet_reconstruct(events[1], p=power, R=radius)
+cs = jet_reconstruct(events[1], p = power, R = radius)
 
 # ╔═╡ b5fd4e96-d073-4e5f-8de1-41addaa0dc3d
 jetreco_vis = jetsplot(events[1], cs; Module = GLMakie)
@@ -78,7 +79,6 @@ display(jetreco_vis);
 
 # ╔═╡ Cell order:
 # ╟─dff6a188-2cbe-11ef-32d0-73c4c05efad2
-# ╠═0642cc6e-290e-4e01-9882-5c12d7585ead
 # ╠═cf88f2f9-bf19-47e2-ae04-b4476eb26efb
 # ╠═24dd666c-49be-4c44-9b9d-d27128c1ffbb
 # ╠═0a1a8211-507b-4dc0-9060-0d18a5a695a4

ext/JetVisualisation.jl

@@ -5,6 +5,9 @@ module JetVisualisation
 using JetReconstruction
 using Makie
 
+# Set font size generally (as opposed to xlabelsize=20, etc.)
+const jetreco_theme = Theme(fontsize = 24)
+
 """
     jetsplot(objects, cs::ClusterSequence; barsize_phi=0.1, barsize_eta=0.1, colormap=:glasbey_hv_n256, Module=Main)
 
@@ -85,6 +88,7 @@ function JetReconstruction.jetsplot(objects, idx_arrays; barsize_phi = 0.1,
 
     pts = sqrt.(JetReconstruction.pt2.(objects))
 
+    set_theme!(jetreco_theme)
     Module.meshscatter(Module.Point3f.(JetReconstruction.phi.(objects),
                                        JetReconstruction.rapidity.(objects), 0pts);
                        color = cs,
@@ -94,7 +98,7 @@ function JetReconstruction.jetsplot(objects, idx_arrays; barsize_phi = 0.1,
                        figure = (size = (700, 600),),
                        axis = (type = Module.Axis3, perspectiveness = 0.5, azimuth = 2.6,
                                elevation = 0.5,
-                               xlabel = "ϕ", ylabel = "η", zlabel = "kt",
+                               xlabel = L"\phi", ylabel = L"y", zlabel = L"p_T",
                                limits = (nothing, nothing, nothing, nothing, 0,
                                          findmax(pts)[1] + 10)),
                        shading = NoShading)
@@ -131,6 +135,7 @@ function JetReconstruction.jetsplot(cs::ClusterSequence,
         max_pt = max(max_pt, JetReconstruction.pt(jet))
     end
 
+    set_theme!(jetreco_theme)
     fig, ax, plt_obj = Module.meshscatter(jet_plot_points;
                                           markersize = jet_plot_marker_size,
                                           marker = jet_plot_marker,
@@ -281,6 +286,7 @@ function JetReconstruction.animatereco(cs::ClusterSequence, filename;
                        @lift(perspective[1]+$it_obs / merge_steps *
                                             (perspective[2] - perspective[1])) : perspective
 
+    set_theme!(jetreco_theme)
     ax = (type = Axis3, title = isnothing(title) ? "" : title,
           xlabel = L"\phi", ylabel = L"y", zlabel = L"p_T",
           limits = (0, 2π, min_rap - 0.5, max_rap + 0.5, 0, max_pt + 10),