Ratio to a chosen sample, per-sample drawing styles¶
ratio="Z + jets" picks the reference sample by label; ratio_ylim and
ratio_label override the automatic range and label. A Sample can carry its own
color and histtype; the reference takes the text colour, like data points, so it
stays visible on light and dark pages.

import matplotlib.pyplot as plt
import rootfig as rf
style = rf.Style()
rf.plot(
[
zjets.replace(color=plt.rcParams["text.color"], histtype="errorbar"),
diboson.replace(color="#d95f02"),
signal.replace(color="#1b9e77", histtype="fill"),
],
rf.Variable("nJet", bins=(9, -0.5, 8.5), label="Jet multiplicity"),
normalize=True,
ratio="Z + jets",
ratio_ylim=(0, 3),
ratio_label="Ratio to Z + jets",
style=style,
)

import matplotlib.pyplot as plt
import rootfig as rf
style = rf.Style(experiment="ATLAS", status="Internal", lumi=140, com=13.6)
rf.plot(
[
zjets.replace(color=plt.rcParams["text.color"], histtype="errorbar"),
diboson.replace(color="#d95f02"),
signal.replace(color="#1b9e77", histtype="fill"),
],
rf.Variable("nJet", bins=(9, -0.5, 8.5), label="Jet multiplicity"),
normalize=True,
ratio="Z + jets",
ratio_ylim=(0, 3),
ratio_label="Ratio to Z + jets",
style=style,
)

import matplotlib.pyplot as plt
import rootfig as rf
style = rf.Style(experiment="CMS", status="Preliminary", lumi=138, com=13.6)
rf.plot(
[
zjets.replace(color=plt.rcParams["text.color"], histtype="errorbar"),
diboson.replace(color="#d95f02"),
signal.replace(color="#1b9e77", histtype="fill"),
],
rf.Variable("nJet", bins=(9, -0.5, 8.5), label="Jet multiplicity"),
normalize=True,
ratio="Z + jets",
ratio_ylim=(0, 3),
ratio_label="Ratio to Z + jets",
style=style,
)

import matplotlib.pyplot as plt
import rootfig as rf
style = rf.Style(experiment="LHCb", status="Preliminary", lumi=9, com=13.6)
rf.plot(
[
zjets.replace(color=plt.rcParams["text.color"], histtype="errorbar"),
diboson.replace(color="#d95f02"),
signal.replace(color="#1b9e77", histtype="fill"),
],
rf.Variable("nJet", bins=(9, -0.5, 8.5), label="Jet multiplicity"),
normalize=True,
ratio="Z + jets",
ratio_ylim=(0, 3),
ratio_label="Ratio to Z + jets",
style=style,
)

import matplotlib.pyplot as plt
import rootfig as rf
style = rf.Style(experiment="ALICE", status="Preliminary")
rf.plot(
[
zjets.replace(color=plt.rcParams["text.color"], histtype="errorbar"),
diboson.replace(color="#d95f02"),
signal.replace(color="#1b9e77", histtype="fill"),
],
rf.Variable("nJet", bins=(9, -0.5, 8.5), label="Jet multiplicity"),
normalize=True,
ratio="Z + jets",
ratio_ylim=(0, 3),
ratio_label="Ratio to Z + jets",
style=style,
)

import matplotlib.pyplot as plt
import rootfig as rf
style = rf.Style(experiment="DUNE", status="Preliminary")
rf.plot(
[
zjets.replace(color=plt.rcParams["text.color"], histtype="errorbar"),
diboson.replace(color="#d95f02"),
signal.replace(color="#1b9e77", histtype="fill"),
],
rf.Variable("nJet", bins=(9, -0.5, 8.5), label="Jet multiplicity"),
normalize=True,
ratio="Z + jets",
ratio_ylim=(0, 3),
ratio_label="Ratio to Z + jets",
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")