1 |
claudioc |
1.1 |
\section{Introduction}
|
2 |
|
|
\label{sec:intro}
|
3 |
|
|
|
4 |
|
|
In this note we describe a first study of isolated same sign (SS)
|
5 |
|
|
and opposite sign (OS) low $P_T$ ($P_T > 10$ GeV)
|
6 |
|
|
dileptons (e or $\mu$)
|
7 |
|
|
in 7 TeV collision data. Our goal is to understand this
|
8 |
|
|
data sample as a first step towards a top cross-section
|
9 |
|
|
analysis~\cite{ref:topdil2009}, a $WW$ cross-section
|
10 |
|
|
analysis~\cite{ref:WW}, as well as SS and OS SUSY
|
11 |
|
|
searches\cite{ref:OSSusy}\cite{ref:SSSusy}.
|
12 |
|
|
|
13 |
|
|
With a 10 GeV $P_T$ threshold, the data sample is dominated by QCD
|
14 |
|
|
backgrounds and Drell-Yan events. We compare the observed yields
|
15 |
|
|
with predictions from Monte Carlo. In the case of QCD, we use
|
16 |
|
|
the Fake Rate method to predict its rate in a data driven way.
|
17 |
|
|
With the present luminosity, there is not enough statistics to
|
18 |
|
|
study kinematical distributions.
|
19 |
|
|
|
20 |
|
|
This note is organized as follows. In Section~\ref{sec:datasets}
|
21 |
|
|
we list the datasets used; the lepton identification criteria
|
22 |
|
|
and the general event selection requirements
|
23 |
|
|
are given in Section~\ref{sec:selection}; the event data yields are
|
24 |
|
|
compared with Monte Carlo expectations in Section~\ref{sec:yields};
|
25 |
|
|
the FR method is reviewed in Section~\ref{sec:FR}; the application
|
26 |
|
|
of the FR method is summarized in Section~\ref{sec:FRapply}.
|
27 |
|
|
|