Signal events are selected using τ
h
τ
h
triggers, where both τ
h
candidates are required
to have |η| < 2.1, and p
T
> 35 or 40 GeV depending on the trigger path. The τ
h
τ
h
trigger has an efficiency of ≈95% for τ
h
candidates that pass the offline selection. The
trigger efficiencies in simulation are corrected to match the efficiencies measured in data.
For the offline selection, signal events are required to have p
miss
T
> 50 GeV, H
T
> 100 GeV,
at least two oppositely charged τ
h
candidates with p
T
> 40 GeV and |η| < 2.1, and at
least one b-tagged jet with p
T
> 20 GeV and |η| < 2.4. The requirements on p
miss
T
and
the number of b-tagged jets (n
b
) help to reduce the contributions from DY+jets and SM
events comprised uniquely of jets produced through the strong interaction, referred to as
multijet events. Distributions of the variables p
miss
T
, m
T2
, and H
T
after this selection are
shown in figure 2 for data and the predicted background, along with representative signal
distributions. The background prediction includes tt, DY+jets, events with misidentified
τ
h
, and other rare SM processes. Detailed descriptions of the background estimation
methods are presented in section 6.
Signal events with different top squark and LSP masses populate different regions of
the phase space. For example, regions with low p
miss
T
, m
T2
, and H
T
are sensitive to signals
with low top squark masses. On the other hand, events with high p
miss
T
, m
T2
, and H
T
are sensitive to models with high top squark and low LSP masses. In order to obtain the
highest sensitivity over the entire phase space, the signal region (SR) is divided into 15
bins as a function of the measured p
miss
T
, m
T2
, and H
T
, which are illustrated in figure 3.
6 Background estimation
The most significant background is tt production, either with two genuine τ
h
decays or
because of jets being misidentified as τ
h
candidates. Because of theoretical uncertainties
in the tt background modeling in the SR (which contains events that populate the tails of
the kinematic distributions), we estimate the t
t contribution to events with two genuine τ
h
decays using CRs in data, as discussed below. The background contribution from DY events
is typically minor in the most sensitive bins, and has been estimated using simulation. To
account for residual discrepancies between data and the LO DY sample, correction factors
for simulated events are derived from DY-enriched dimuon CRs in data and simulation
as functions of the dimuon invariant mass and p
T
. The contribution from multijet events
is negligible because of the selections p
miss
T
> 50 GeV and n
b
≥ 1. Other less significant
backgrounds, such as W+jets, VV, VH, and ttV are also estimated from simulation. The
overall SM contribution from jets being misidentified as τ
h
candidates is estimated using
CRs in data. In the following sections we detail the estimation of those backgrounds that
are obtained from CRs in data.
6.1 Tau lepton pairs from top production
The estimation of the background from tt events in which there are two genuine τ
h
decays
is based on the method described in ref. [62]. The predicted yields in each SR bin from
simulation are multiplied by correction factors derived in a tt-enriched CR. The tt-enriched
CR is identified by selecting events with an oppositely charged eµ pair. These events are
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