Per-object versus per-event selections

Muon_pt is a list per event. A per-object cut such as Muon_pt > 100 masks individual muons, while any(Muon_pt > 100) is per event: it keeps whole events, with all their muons, soft ones included. Sample.replace derives variants of a sample.

DefaultATLASCMSLHCbALICEDUNE

import rootfig as rf

style = rf.Style()

rf.plot(
    [
        signal.replace(label="All muons"),
        signal.replace(label="Muon_pt > 100", selection="Muon_pt > 100"),
        signal.replace(label="any(Muon_pt > 100)", selection="any(Muon_pt > 100)"),
    ],
    pt,
    logy=True,
    style=style,
)

import rootfig as rf

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

rf.plot(
    [
        signal.replace(label="All muons"),
        signal.replace(label="Muon_pt > 100", selection="Muon_pt > 100"),
        signal.replace(label="any(Muon_pt > 100)", selection="any(Muon_pt > 100)"),
    ],
    pt,
    logy=True,
    style=style,
)

import rootfig as rf

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

rf.plot(
    [
        signal.replace(label="All muons"),
        signal.replace(label="Muon_pt > 100", selection="Muon_pt > 100"),
        signal.replace(label="any(Muon_pt > 100)", selection="any(Muon_pt > 100)"),
    ],
    pt,
    logy=True,
    style=style,
)

import rootfig as rf

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

rf.plot(
    [
        signal.replace(label="All muons"),
        signal.replace(label="Muon_pt > 100", selection="Muon_pt > 100"),
        signal.replace(label="any(Muon_pt > 100)", selection="any(Muon_pt > 100)"),
    ],
    pt,
    logy=True,
    style=style,
)

import rootfig as rf

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

rf.plot(
    [
        signal.replace(label="All muons"),
        signal.replace(label="Muon_pt > 100", selection="Muon_pt > 100"),
        signal.replace(label="any(Muon_pt > 100)", selection="any(Muon_pt > 100)"),
    ],
    pt,
    logy=True,
    style=style,
)

import rootfig as rf

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

rf.plot(
    [
        signal.replace(label="All muons"),
        signal.replace(label="Muon_pt > 100", selection="Muon_pt > 100"),
        signal.replace(label="any(Muon_pt > 100)", selection="any(Muon_pt > 100)"),
    ],
    pt,
    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")