558 The ATLAS Collaboration / Physics Letters B 759 (2016) 555–574
Fig. 2. Fake factors parameterised as a function of p
T
and the reconstructed τ
had
decay mode, for a b-tagging score of the τ
had-vis
candidate below (left, light-flavour region)
or above (right, heavy-flavour region) the chosen threshold. The τ
had
decay mode is referred to as 1p0n, 1p1n, 1pXn, 3p0n or 3pXn, for a p-prong decay with n neutral
particles (π
0
), where X ≥ 2(1) for 1pXn (3pXn) decays. The threshold value for the b-tagging score is set to keep enough entries in each of the two bins, separately for each
type of τ
had
decay. The errors shown arise from the statistical uncertainty for a given p
T
bin.
Fig. 3. Distribution of m
T
in the control region enriched with W → τν events, which
differs from the nominal event selection by the requirements that m
T
< 100 GeV
and
that the number of b-tagged jets be zero. The W → τν background is nor-
malised
to the data through an overall scale factor. The total (statistical and system-
atic)
uncertainties in the SM prediction are shown in the lower plot.
The backgrounds with a true τ
had
are estimated using simula-
tion.
The two dominant processes, t
¯
t and W → τν, are validated
in two dedicated control regions, which differ from the nominal
event selection by the requirements that m
T
< 100 GeV (instead of
m
T
> 50 GeV) and that the number of b-tagged jets be either at
least two (for the control region enriched with t
¯
t events) or zero
(for the control region enriched with W → τν events). The latter
is also used to correct the overall normalisation of the simulated
W → τν background. The m
T
distributions that are predicted and
measured in these two background-enriched control regions are
displayed in Figs. 3 and 4. The relative signal contamination in the
control region enriched in W → τν events is about two orders of
magnitude smaller than the expected fraction of H
+
→ τν events
in the signal region. The control region enriched in t
¯
t events has a
small overlap with the signal region, however the expected signal
contamination is negligible, about one order of magnitude smaller
than the expected fraction of H
+
→ τν events in the signal re-
gion.
The
expected number of background events in the signal region
is shown in Table 1, together with the hypothetical contribution
from charged Higgs bosons with a mass of 200 or 1000 GeV, and
with σ (pp →[b]tH
±
) × BR(H
±
→ τν) set to the prediction from
the hMSSM scenario for tan β = 60 (for a given mass, the expected
signal yield increases quadratically with tan β). The calculation of
the production cross section is based on Refs. [22,75–78], while
HDECAY [79] is
used for computing the branching fraction. The sig-
Fig. 4. Distribution of m
T
in the control region enriched with t
¯
t events, which differs
from the nominal event selection by the requirements that m
T
< 100 GeV and that
the number of b-tagged jets be at least two. The total (statistical and systematic)
uncertainties in the SM prediction are shown in the lower plot.
Table 1
Expected
event yields for the backgrounds and a hypothet-
ical
H
+
signal after all selection criteria, and comparison
with 3.2fb
−1
of data. The values shown for the signal as-
sume
a charged Higgs boson mass of 200 or 1000 GeV, with
a cross section times branching fraction σ (pp →[b]tH
±
) ×
BR(H
±
→ τν) corresponding to tanβ = 60 in the hMSSM
benchmark scenario. The uncertainties include statistical
and systematic components.
Sample Event yield
True τ
had
t
¯
t & single-top-quark 590 ±170
W
→ τν 58 ±14
Z
→ ττ 6.4 ±2.0
diboson (WW
, WZ, ZZ)4.3 ±1.3
Misidentified e
, μ → τ
had-vis
40 ±6
Misidentified jet
→ τ
had-vis
196 ±24
All backgrounds 900
±170
H
+
(200 GeV), hMSSM tanβ =60 175 ±28
H
+
(1000 GeV), hMSSM tanβ =60 2.0 ±0.2
Data 890
nal acceptance at 200 (1000) GeV is 1.5% (12%), as evaluated with
respect to simulated samples where both the τ -lepton and the as-
sociated
top quark decay inclusively. The event yield observed in
3.2fb
−1
of data is also shown in Table 1 and found to be consis-
tent
with the expectation for the background-only hypothesis.