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Add compressed file reading support and fix examples (new Pluto examp…
…le) (#64) * Add support for reading gzipped files in Utils.jl As storing uncompressed HepMC3 ASCII files in git is inefficient (even if git compresses them, they clutter the package) add the feature to automatically read data from gzip compressed files (.gz extension). The allows tests and examples to be written that can use gzipped data files without complications. * Remove lzma compressed data file * Fix examples and an interactive Pluto visualisation Fix examples to use the compressed data file helper. Add an example using Pluto that allows dynamic selection of the reconstructed event and the algorithmic parameters. * Exempt Pluto nobebook from formatting
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| ### A Pluto.jl notebook ### | ||
| # v0.19.42 | ||
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| # Do not format this code, it's under the control of the Pluto.jl notebook | ||
| #! format: off | ||
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| using Markdown | ||
| using InteractiveUtils | ||
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| # 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 el = $(esc(element)) | ||
| global $(esc(def)) = Core.applicable(Base.get, el) ? Base.get(el) : iv(el) | ||
| el | ||
| end | ||
| end | ||
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| # ╔═╡ cf88f2f9-bf19-47e2-ae04-b4476eb26efb | ||
| import Pkg | ||
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| # ╔═╡ 24dd666c-49be-4c44-9b9d-d27128c1ffbb | ||
| Pkg.activate(".") | ||
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| # ╔═╡ 0a1a8211-507b-4dc0-9060-0d18a5a695a4 | ||
| using GLMakie | ||
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| # ╔═╡ f7ec7400-bbb2-4f28-9f13-881dea775f41 | ||
| using PlutoUI | ||
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| # ╔═╡ 32b48d85-40cb-42c8-b3ad-ab613081da38 | ||
| using JetReconstruction | ||
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| # ╔═╡ dff6a188-2cbe-11ef-32d0-73c4c05efad2 | ||
| md"""# Jet Reconstruction Visualisation | ||
| 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.""" | ||
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| # ╔═╡ 0642cc6e-290e-4e01-9882-5c12d7585ead | ||
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| # ╔═╡ 4e569f74-570b-4b30-9ea7-9cbc420f50f8 | ||
| md"Event number:" | ||
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| # ╔═╡ 83030910-8d00-4949-b69e-fa492b61db6b | ||
| @bind event_no PlutoUI.Slider(1:100, show_value=true) | ||
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| # ╔═╡ 306f6e66-788c-4a95-a9df-3ac4c37cf776 | ||
| md"``k_T`` algorithm power (-1=Anti-``k_T``, 0 = Cambridge/Aachen, 1=Inclusive kT)" | ||
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| # ╔═╡ 864d7a31-b634-4edc-b6c4-0835fee53304 | ||
| @bind power PlutoUI.Slider(-1:1, show_value=true) | ||
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| # ╔═╡ 9f7988a5-041e-4a83-9da9-d48db34cea98 | ||
| md"Jet radius parameter" | ||
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| # ╔═╡ 187315d4-ac3c-4847-ae00-e7da1b27d63f | ||
| @bind radius PlutoUI.Slider(range(start=0.4, stop=2.0, step=0.1), show_value=true) | ||
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| # ╔═╡ 79f24ec1-a63e-4e96-bd67-49661125be66 | ||
| input_file = joinpath(dirname(pathof(JetReconstruction)), "..", "test", "data", "events.hepmc3.gz") | ||
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| # ╔═╡ 7d7a8b11-19b3-4b83-a0b1-8201b74b588e | ||
| events::Vector{Vector{PseudoJet}} = read_final_state_particles(input_file, | ||
| maxevents = event_no, skipevents = event_no); | ||
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| # ╔═╡ 2a899d67-71f3-4fe0-8104-7633a44a06a8 | ||
| cs = jet_reconstruct(events[1], p=power, R=radius) | ||
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| # ╔═╡ b5fd4e96-d073-4e5f-8de1-41addaa0dc3d | ||
| jetreco_vis = jetsplot(events[1], cs; Module = GLMakie) | ||
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| # ╔═╡ 81b14eba-6981-4943-92fe-529c53b0ac35 | ||
| display(jetreco_vis); | ||
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| # ╔═╡ 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 | ||
| # ╠═f7ec7400-bbb2-4f28-9f13-881dea775f41 | ||
| # ╠═32b48d85-40cb-42c8-b3ad-ab613081da38 | ||
| # ╟─4e569f74-570b-4b30-9ea7-9cbc420f50f8 | ||
| # ╟─83030910-8d00-4949-b69e-fa492b61db6b | ||
| # ╟─306f6e66-788c-4a95-a9df-3ac4c37cf776 | ||
| # ╟─864d7a31-b634-4edc-b6c4-0835fee53304 | ||
| # ╟─9f7988a5-041e-4a83-9da9-d48db34cea98 | ||
| # ╟─187315d4-ac3c-4847-ae00-e7da1b27d63f | ||
| # ╟─79f24ec1-a63e-4e96-bd67-49661125be66 | ||
| # ╠═7d7a8b11-19b3-4b83-a0b1-8201b74b588e | ||
| # ╠═2a899d67-71f3-4fe0-8104-7633a44a06a8 | ||
| # ╠═b5fd4e96-d073-4e5f-8de1-41addaa0dc3d | ||
| # ╠═81b14eba-6981-4943-92fe-529c53b0ac35 |
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