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A pull panel: data minus the prediction, in units of the uncertainty

panel= chooses what the lower panel shows: "ratio", "difference", "relative_difference", "pull" or a significance, and reference= what it compares with. A pull is the difference between the data and the stacked prediction divided by their combined statistical and systematic uncertainty, drawn as bars.

A pull panel: data minus the prediction, in units of the uncertainty, Default style A pull panel: data minus the prediction, in units of the uncertainty, Default style

import rootfig as rf

style = rf.Style()

rf.plot(mc, met, observed=data, stack=True, panel="pull", logy=True, style=style)

A pull panel: data minus the prediction, in units of the uncertainty, ATLAS style A pull panel: data minus the prediction, in units of the uncertainty, ATLAS style

import rootfig as rf

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

rf.plot(mc, met, observed=data, stack=True, panel="pull", logy=True, style=style)

A pull panel: data minus the prediction, in units of the uncertainty, CMS style A pull panel: data minus the prediction, in units of the uncertainty, CMS style

import rootfig as rf

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

rf.plot(mc, met, observed=data, stack=True, panel="pull", logy=True, style=style)

A pull panel: data minus the prediction, in units of the uncertainty, LHCb style A pull panel: data minus the prediction, in units of the uncertainty, LHCb style

import rootfig as rf

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

rf.plot(mc, met, observed=data, stack=True, panel="pull", logy=True, style=style)

A pull panel: data minus the prediction, in units of the uncertainty, ALICE style A pull panel: data minus the prediction, in units of the uncertainty, ALICE style

import rootfig as rf

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

rf.plot(mc, met, observed=data, stack=True, panel="pull", logy=True, style=style)

A pull panel: data minus the prediction, in units of the uncertainty, DUNE style A pull panel: data minus the prediction, in units of the uncertainty, DUNE style

import rootfig as rf

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

rf.plot(mc, met, observed=data, stack=True, panel="pull", logy=True, style=style)
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")