diff --git a/Project.toml b/Project.toml
index c000e8b..957b54e 100644
--- a/Project.toml
+++ b/Project.toml
@@ -5,17 +5,9 @@ version = "0.1.0"
[deps]
Accessors = "7d9f7c33-5ae7-4f3b-8dc6-eff91059b697"
-Arrow = "69666777-d1a9-59fb-9406-91d4454c9d45"
-BenchmarkTools = "6e4b80f9-dd63-53aa-95a3-0cdb28fa8baf"
-CSV = "336ed68f-0bac-5ca0-87d4-7b16caf5d00b"
Corpuscles = "e78a0372-c628-4773-9c8d-eb17d149bf93"
-DataFrames = "a93c6f00-e57d-5684-b7b6-d8193f3e46c0"
-FHist = "68837c9b-b678-4cd5-9925-8a54edc8f695"
Graphs = "86223c79-3864-5bf0-83f7-82e725a168b6"
-Plots = "91a5bcdd-55d7-5caf-9e0b-520d859cae80"
-Revise = "295af30f-e4ad-537b-8983-00126c2a3abe"
StaticArrays = "90137ffa-7385-5640-81b9-e52037218182"
-Statistics = "10745b16-79ce-11e8-11f9-7d13ad32a3b2"
StructArrays = "09ab397b-f2b6-538f-b94a-2f83cf4a842a"
Tables = "bd369af6-aec1-5ad0-b16a-f7cc5008161c"
UnROOT = "3cd96dde-e98d-4713-81e9-a4a1b0235ce9"
diff --git a/examples/Project.toml b/examples/Project.toml
new file mode 100644
index 0000000..66cb747
--- /dev/null
+++ b/examples/Project.toml
@@ -0,0 +1,13 @@
+[deps]
+Accessors = "7d9f7c33-5ae7-4f3b-8dc6-eff91059b697"
+BenchmarkTools = "6e4b80f9-dd63-53aa-95a3-0cdb28fa8baf"
+DataFrames = "a93c6f00-e57d-5684-b7b6-d8193f3e46c0"
+EDM4hep = "eb32b910-dde9-4347-8fce-cd6be3498f0c"
+FHist = "68837c9b-b678-4cd5-9925-8a54edc8f695"
+Graphs = "86223c79-3864-5bf0-83f7-82e725a168b6"
+IJulia = "7073ff75-c697-5162-941a-fcdaad2a7d2a"
+LsqFit = "2fda8390-95c7-5789-9bda-21331edee243"
+Plots = "91a5bcdd-55d7-5caf-9e0b-520d859cae80"
+Revise = "295af30f-e4ad-537b-8983-00126c2a3abe"
+Statistics = "10745b16-79ce-11e8-11f9-7d13ad32a3b2"
+
diff --git a/examples/reco_edm4hep.ipynb b/examples/reco_edm4hep.ipynb
new file mode 100644
index 0000000..bbe8ed3
--- /dev/null
+++ b/examples/reco_edm4hep.ipynb
@@ -0,0 +1,2749 @@
+{
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "# How Good is the Reconstruction?"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "using EDM4hep\n",
+ "using EDM4hep.RootIO\n",
+ "using Plots, FHist"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## Missing functionality for the analysis\n",
+ "- Taken the HelixClass form MarlinUtils\n",
+ "- Histogram fitting. Using the package [LsqFit.jl](https://github.com/JuliaNLSolvers/LsqFit.jl)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 2,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "fit_and_plot (generic function with 1 method)"
+ ]
+ },
+ "execution_count": 2,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "# Missing functionality (taken from MarlinUtil)\n",
+ "const FCT=2.99792458e-4\n",
+ "struct HelixClass\n",
+ " pos::Vector3d # position of the reference point : pos[3];
\n",
+ " momentum::Vector3d # momentum vector at the reference point : mom[3];
\n",
+ " charge::Float32 # particle charge : q;
\n",
+ " B::Float64 # magnetic field (in Tesla) : B
\n",
+ " # calculated\n",
+ " pxy::Float64\n",
+ " radius::Float64\n",
+ " omega::Float64\n",
+ " ϕ₀::Float64\n",
+ "\n",
+ " function HelixClass(pos, mom, q, B)\n",
+ " pxy = sqrt(mom.x^2 + mom.y^2)\n",
+ " radius = pxy /(FCT*B)\n",
+ " omega = q/radius\n",
+ " ϕMomRefPoint = atan(mom.y, mom.x)\n",
+ " xCentre = pos.x + radius * cos(ϕMomRefPoint-π/2*q)\n",
+ " yCentre = pos.y + radius * sin(ϕMomRefPoint-π/2*q)\n",
+ " ϕRefPoint = atan(pos.y - yCentre, pos.x - xCentre)\n",
+ " ϕAtPCA = atan(-yCentre, -xCentre)\n",
+ " ϕ₀ = -π/2 * q + ϕAtPCA\n",
+ " while ϕ₀ < 0; ϕ₀ += 2π; end\n",
+ " while ϕ₀ >= 2π; ϕ₀ -= 2π; end\n",
+ " new(pos, mom, q, B, pxy, radius, omega, ϕ₀)\n",
+ " end\n",
+ "end\n",
+ "\n",
+ "\n",
+ "# Fit and Plot histograms\n",
+ "using LsqFit\n",
+ "gaus(x,p) = p[1] * exp.(-0.5*((x.-p[2])/p[3]).^2)\n",
+ "function fit_and_plot(h, model; title=\"\", xlabel=\"\")\n",
+ " fit = curve_fit(model, collect(bincenters(h)), bincounts(h), [1500.,0.,1.])\n",
+ " nDf = (nbins(h) - 3)\n",
+ " chi2 = sum(fit.resid .^ 2) / nDf\n",
+ " println(\"\"\"\n",
+ " ****************************************\n",
+ " Minimizer is LsqFit\n",
+ " Chi2 = $chi2\n",
+ " NDf = $nDf\n",
+ " Constant = $(fit.param[1]) \n",
+ " Mean = $(fit.param[2]) \n",
+ " Sigma = $(fit.param[3])\n",
+ " ****************************************\n",
+ " \"\"\")\n",
+ " plot(h, title=title, xlabel=xlabel)\n",
+ " plot!(bincenters(h), model(bincenters(h), fit.param)) \n",
+ "end\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 3,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "file = \"/Users/mato/Downloads/E250-SetA.P4f_sw_sl.Gwhizard-2_8_5.eL.pR.I500106.0.1000.REC_edm4hep.root\"\n",
+ "reader = RootIO.Reader(file)\n",
+ "events = RootIO.get(reader, \"events\");"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 4,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "h_omega = Hist1D(bins=range(-10,10,51))\n",
+ "h_phi = Hist1D(bins=range(-10,10,51))\n",
+ "h_momentum = Hist1D(bins=range(0,125,126))\n",
+ "h_omega_2d = Hist2D(bins=(range(0,125,11),range(-10,10,51)));"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 5,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "empty!(h_omega)\n",
+ "empty!(h_phi)\n",
+ "empty!(h_momentum)\n",
+ "empty!(h_omega_2d)\n",
+ "\n",
+ "for evt in events\n",
+ " mctruthrecolinks = RootIO.get(reader, evt, \"SiTracksMCTruthLink\")\n",
+ " RootIO.get(reader, evt, \"MCParticles\") #---no implicit reading for the moment\n",
+ " RootIO.get(reader, evt, \"SiTracks_Refitted\") #---no implicit reading for the moment\n",
+ " for link in mctruthrecolinks\n",
+ " weight = link.weight\n",
+ " mcp = link.sim\n",
+ " reco = link.rec\n",
+ " # FIXME: ah lol does this direction in the relation kill electrons with high brems loss as the fraction of their initial energy going to the track is lower?\n",
+ " weight < 0.9 && continue\n",
+ " # only care about electrons\n",
+ " (abs(mcp.PDG) != 11 || mcp.generatorStatus != 1) && continue\n",
+ " # require at least some energy\n",
+ " # FIXME: probably should cut on pT instead\n",
+ " mcp.energy < 1 && continue\n",
+ "\n",
+ " reco_track = reco.trackStates[1]\n",
+ " cov = reco_track.covMatrix\n",
+ " mc_track = HelixClass(mcp.vertex, mcp.momentum, mcp.charge, 2.)\n",
+ " pull_omega = (reco_track.omega - mc_track.omega) / sqrt(cov[6])\n",
+ " pull_phi = (reco_track.phi - mc_track.ϕ₀) / sqrt(cov[3])\n",
+ " \n",
+ " push!(h_omega, pull_omega)\n",
+ " push!(h_phi, pull_phi)\n",
+ " push!(h_momentum, mcp.energy)\n",
+ " push!(h_omega_2d, mcp.energy, pull_omega)\n",
+ "\n",
+ " end\n",
+ "end\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 6,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "****************************************\n",
+ "Minimizer is LsqFit\n",
+ "Chi2 = 28.859126407070935\n",
+ "NDf = 47\n",
+ "Constant = 39.88947224239148 \n",
+ "Mean = 0.007977036962486514 \n",
+ "Sigma = 2.3575883644579174\n",
+ "****************************************\n",
+ "\n"
+ ]
+ },
+ {
+ "data": {
+ "image/png": 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",
+ "image/svg+xml": [
+ "\n",
+ "\n"
+ ],
+ "text/html": [
+ "\n",
+ "\n"
+ ]
+ },
+ "execution_count": 6,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "fit_and_plot(h_omega, gaus; title=\"h_omega\", xlabel=\"pull Ω\")"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 7,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "****************************************\n",
+ "Minimizer is LsqFit\n",
+ "Chi2 = 9.030523198723774\n",
+ "NDf = 47\n",
+ "Constant = 54.099109826994216 \n",
+ "Mean = -0.021213100095317208 \n",
+ "Sigma = 1.4067422620691046\n",
+ "****************************************\n",
+ "\n"
+ ]
+ },
+ {
+ "data": {
+ "image/png": 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",
+ "image/svg+xml": [
+ "\n",
+ "\n"
+ ],
+ "text/html": [
+ "\n",
+ "\n"
+ ]
+ },
+ "execution_count": 7,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "fit_and_plot(h_phi, gaus; title=\"h_phi\", xlabel=\"pull ϕ\")"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 8,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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",
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