1 |
claudioc |
1.1 |
\section{Example BG prediction calculation}
|
2 |
|
|
\label{BGexample}
|
3 |
|
|
|
4 |
|
|
The calculation of the background prediction is a bit complicated.
|
5 |
|
|
Here we walk the reader through a concrete example.
|
6 |
|
|
|
7 |
|
|
{\bf NB: the numbers
|
8 |
linacre |
1.2 |
in this section corresponded to the numbers in V3 of the analysis note.
|
9 |
claudioc |
1.1 |
They will not be updated, because this is meant as an illustration only.}.
|
10 |
|
|
|
11 |
linacre |
1.2 |
The main background is $t\bar{t}$.
|
12 |
claudioc |
1.1 |
The main idea is to normalize to the $M_T$ peak region ($50 < M_T < 80$ GeV).
|
13 |
|
|
This eliminates dependence on \ttbar\ cross-section, luminosity,
|
14 |
|
|
trigger efficiency, JES, lepton ID, etc. This gets a bit complicated because
|
15 |
|
|
the $M_T$ peak region, while dominantly \ttbar\ lepton $+$ jets,
|
16 |
|
|
also includes some \wjets, \ttdl, rare processes, etc. Also, we want
|
17 |
|
|
to minimize our need to understand the effect of the isolated
|
18 |
|
|
track veto on \ttsl. As a result we actually define two $M_T$ peak
|
19 |
|
|
regions: one before and one after applying the isolated track veto.
|
20 |
|
|
Then the \ttdl\ background is normalized the the ``before veto'' region,
|
21 |
|
|
and the \ttsl\ and \wjets\ background are normalized to the ``post veto''
|
22 |
|
|
region.
|
23 |
|
|
|
24 |
|
|
This complex procedure is important for the high statistics signal regions
|
25 |
|
|
with relatively low \met\ requirements, eg, SRA. For these SRs we want to keep the
|
26 |
linacre |
1.2 |
systematics low in order to be sensitive to low mass stop; for the signal regions
|
27 |
claudioc |
1.1 |
with hard cuts on \met\, this is less important. However, we apply the same
|
28 |
|
|
procedure to all SRs.
|
29 |
|
|
|
30 |
|
|
For concreteness, we show the calculation for SRA, electron channel. The MC and data
|
31 |
|
|
event counts used in the background calculation are collected in Table~\ref{tab:bgexample}.
|
32 |
|
|
Note that the background uncertainties have already been described
|
33 |
|
|
in Section~\ref{sec:systematics}. The one tricky point to keep in mind is that
|
34 |
|
|
when the \wjets\ and rare cross-sections are changed by their assumed uncertainties
|
35 |
|
|
(50\% each), the whole calculation describe below is repeated in order to take care
|
36 |
|
|
of all the correlations properly.
|
37 |
|
|
|
38 |
|
|
|
39 |
|
|
\begin{table}[!h]
|
40 |
|
|
\begin{center}
|
41 |
|
|
\begin{tabular}{l||c|c|c|}
|
42 |
|
|
\hline
|
43 |
|
|
Sample & $M_T$ peak, before trk veto & $M_T$ peak, after trk veto & Signal Region A \\
|
44 |
|
|
\hline
|
45 |
|
|
\ttdl\ & $290 \pm 6$ & $116 \pm 4$ & $261 \pm 6$ \\
|
46 |
|
|
\ttsl\ (1\Lep) & $2899 \pm 19$ & $2595 \pm 18$ & not used \\
|
47 |
|
|
\wjets\ & $252 \pm 28$ & $236 \pm 28$ & not used \\
|
48 |
|
|
Rare & $89 \pm 5$ & $62 \pm 4$ & $26 \pm 2$ \\
|
49 |
|
|
\hline
|
50 |
|
|
Total & $3530 \pm 35$ & $3009 \pm 34$ & not used \\
|
51 |
|
|
\hline
|
52 |
|
|
Data & 3358 & 2787 & not used \\
|
53 |
|
|
\hline
|
54 |
|
|
\end{tabular}
|
55 |
|
|
\caption{ Data and MC event counts used to predict the background in SRA, for electron events.
|
56 |
|
|
Uncertainties are statistical only. The trigger efficiency has been applied to the MC samples. In the
|
57 |
|
|
case of \ttdl\, the $K_3$ and $K_4$ factors of Section~\ref{sec:jetmultiplicity} have also been applied.
|
58 |
|
|
\label{tab:bgexample}}
|
59 |
|
|
\end{center}
|
60 |
|
|
\end{table}
|
61 |
|
|
|
62 |
|
|
|
63 |
|
|
\subsection{Central value of dilepton background}
|
64 |
|
|
A ``before veto'' scale factor is defined from the second column in Table~\ref{tab:bgexample} as the factor by which
|
65 |
|
|
all MC except the ``rare'' need to be scaled up in order to have data/MC agreement. This is
|
66 |
|
|
|
67 |
|
|
\noindent $SF_{pre} = (3358 - 89)/(2899 + 252 + 290) = 0.950$.
|
68 |
|
|
|
69 |
|
|
Then the \ttdl\ background prediction is the number of events predicted by the MC in SRA (261 from the
|
70 |
|
|
last column of SRA), rescaled by $SF_{pre}$. The result for the central value is 248 events.
|
71 |
|
|
|
72 |
|
|
\subsection{Central value of the \ttsl\ background}
|
73 |
|
|
\label{sec:cenvttlj}
|
74 |
|
|
A ``post veto'' scale factor is defined from the third column in Table~\ref{tab:bgexample} as the factor by which
|
75 |
|
|
the \ttsl\ and the \wjets\ backgrounds need to be scaled to have data/MC agreement.
|
76 |
|
|
|
77 |
|
|
\noindent $SF_{post} = (2787 - 62 - SF_{pre} \cdot 116) / (2595 + 236) = 0.924$.
|
78 |
|
|
|
79 |
linacre |
1.2 |
Then the \ttsl\ background is obtained as the product of the following three factors
|
80 |
claudioc |
1.1 |
|
81 |
|
|
\begin{itemize}
|
82 |
|
|
\item $SF_{post} = 0.924$ as obtained above
|
83 |
|
|
\item 2595, from the third column of Table~\ref{tab:bgexample}
|
84 |
linacre |
1.2 |
\item The tail-to-peak ratio $R_{top} = 0.045$ from Table~\ref{tab:ttpcorr}
|
85 |
|
|
%\item The tail-to-peak ratio scale factor $SFR_{top} = 1.89 \pm 0.56$ from Table~\ref{tab:cr2yields}.
|
86 |
claudioc |
1.1 |
\end{itemize}
|
87 |
|
|
|
88 |
linacre |
1.2 |
The result for the central value is 108 events.
|
89 |
claudioc |
1.1 |
|
90 |
|
|
\subsection{Central value for the \wjets\ background}
|
91 |
|
|
|
92 |
|
|
It is calculated as the product of
|
93 |
|
|
\begin{itemize}
|
94 |
|
|
\item $SF_{post} = 0.924$ from Section~\ref{sec:cenvttlj}
|
95 |
|
|
\item 236, from the third column of Table~\ref{tab:bgexample}
|
96 |
linacre |
1.2 |
\item The tail-to-peak ratio $R_{wjet} = 0.066$ from Table~\ref{tab:ttpcorr}
|
97 |
|
|
%\item The tail-to-peak ratio scale factor $SFR_{wjet} = 1.64 \pm 0.38$ from Table~\ref{tab:cr1yields}.
|
98 |
claudioc |
1.1 |
\end{itemize}
|
99 |
|
|
|
100 |
|
|
The result for the central value is 14.3 events.
|
101 |
|
|
|
102 |
|
|
\subsection{Central value for the rare backgrounds}
|
103 |
|
|
|
104 |
|
|
This is 26 events from Table~\ref{tab:bgexample}
|
105 |
|
|
|