Stacked simulation with data and a ratio panel

A Cut combines selection strings with & and carries a label for the plot. Simulation is stacked bottom to top in the given order with a hatched statistical-uncertainty band, data is drawn as points, and panel="ratio" shows data over the total prediction. The returned Plot holds plain matplotlib objects, so any further customisation is ordinary matplotlib code.

DefaultATLASCMSLHCbALICEDUNE

import rootfig as rf

style = rf.Style()

tight = rf.Cut("Muon_isTight", label="tight") & "abs(Muon_eta) < 2.5"
p = rf.plot(
    mc, pt, observed=data, selection=tight, stack=True, panel="ratio", logy=True, style=style
)
p.ax.axvline(100, color="gray", linestyle="--", linewidth=1)

import rootfig as rf

style = rf.Style(experiment="ATLAS", status="Internal", lumi=140, com=13.6)

tight = rf.Cut("Muon_isTight", label="tight") & "abs(Muon_eta) < 2.5"
p = rf.plot(
    mc, pt, observed=data, selection=tight, stack=True, panel="ratio", logy=True, style=style
)
p.ax.axvline(100, color="gray", linestyle="--", linewidth=1)

import rootfig as rf

style = rf.Style(experiment="CMS", status="Preliminary", lumi=138, com=13.6)

tight = rf.Cut("Muon_isTight", label="tight") & "abs(Muon_eta) < 2.5"
p = rf.plot(
    mc, pt, observed=data, selection=tight, stack=True, panel="ratio", logy=True, style=style
)
p.ax.axvline(100, color="gray", linestyle="--", linewidth=1)

import rootfig as rf

style = rf.Style(experiment="LHCb", status="Preliminary", lumi=9, com=13.6)

tight = rf.Cut("Muon_isTight", label="tight") & "abs(Muon_eta) < 2.5"
p = rf.plot(
    mc, pt, observed=data, selection=tight, stack=True, panel="ratio", logy=True, style=style
)
p.ax.axvline(100, color="gray", linestyle="--", linewidth=1)

import rootfig as rf

style = rf.Style(experiment="ALICE", status="Preliminary")

tight = rf.Cut("Muon_isTight", label="tight") & "abs(Muon_eta) < 2.5"
p = rf.plot(
    mc, pt, observed=data, selection=tight, stack=True, panel="ratio", logy=True, style=style
)
p.ax.axvline(100, color="gray", linestyle="--", linewidth=1)

import rootfig as rf

style = rf.Style(experiment="DUNE", status="Preliminary")

tight = rf.Cut("Muon_isTight", label="tight") & "abs(Muon_eta) < 2.5"
p = rf.plot(
    mc, pt, observed=data, selection=tight, stack=True, panel="ratio", logy=True, style=style
)
p.ax.axvline(100, color="gray", linestyle="--", linewidth=1)

Setup

The code reads the toy dataset. In a checkout of rootfig, python examples/gallery writes it to examples/out/ in a few seconds; run the code inside that directory.

It uses these samples and variables, shared by the gallery examples (see Samples, variables, cuts and styles):

signal = rf.Sample("signal.root", tree="events", label="Signal", weight="weight", scale=0.03)
zjets = rf.Sample("background.root", tree="events", label="Z + jets", weight="weight")
diboson = rf.Sample("diboson.root", tree="events", label="Diboson", weight="weight", scale=0.15)
data = rf.Sample("data.root", tree="events", label="Data", is_data=True)
mc = [zjets, diboson, signal]  # stacked bottom to top

pt = rf.Variable("Muon_pt", bins=(30, 0, 300), label=r"$p_T^{\mu}$", unit="GeV")
mll = rf.Variable("m_ll", bins=(70, 50, 260), label=r"$m_{\ell\ell}$", unit="GeV")
met = rf.Variable("MET", bins=(40, 0, 400), label=r"$E_T^{miss}$", unit="GeV")