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Presentations / tau23mu_lhcb / 2_12_2013 / group_meeting.tex
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% see the macros.tex file for definitions
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% title slide definition
\title{Trigger impact on MVA, weighting problem?}
%\subtitle{a bias report}
\author{ Marcin Chrz\k{a}szcz$^{1,2}$}
\institute[UTH, IFJ]
{
 %\begin{tiny}
$ ^1$ University of Zurich , $ ^2$ Institute of Nuclear Physics, Krakow,  
 %\end{tiny}smallsmall
}
  

\date{ \today}

%--------------------------------------------------------------------
%                           Introduction
%--------------------------------------------------------------------

\begin{document}




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%--------------------------------------------------------------------
%                          OUTLINE
%--------------------------------------------------------------------




\section[Outline]{}
\begin{frame}
\tableofcontents
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%-------------------------------------------------------------------
%                          Introduction
%-------------------------------------------------------------------
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\title{Update on analysis}


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\section{Impact of the trigger for the distributions}
\begin{frame}\frametitle{Reminder}
{~}\\
\begin{itemize}
\item Selecting trigger suggested by Paul kills $\dfrac{1}{3}$ of our training sample.
\item Investigated distributions and correlations of this events to see if they can change our classifier output.
\item Didn't find any significant difference.
\item Final test was to apply it to data and see the effect.
\end{itemize}


	\textref {M.Chrz\k{a}szcz 2013}
\end{frame}

\begin{frame}\frametitle{Data test details}
{~}\\
\begin{itemize}
\item Training done with the same variables.
\item Each training was optimised for specific cuts.
\item Tested several clasifiers: BDT, BDTG, MLP, MATRIXNET
\item Tested on inersidebands, lardge sidebands, whole sample
\end{itemize}


	\textref {M.Chrz\k{a}szcz 2013}
\end{frame}

\begin{frame}\frametitle{Results}
{~}\\
\begin{itemize}
\item All test point out that it's better to keep the nontriggered events for training.
\item Not a bis surprised, we are on the downside in terms of statistics.
\item Easy to over train:
\end{itemize}
\center  \includegraphics[scale=0.28]{overtrain_BDT.png}

	\textref {M.Chrz\k{a}szcz 2013}
\end{frame}

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\begin{frame}\frametitle{Conclusions}
{~}\\
\begin{itemize}
\item Strongly suggest to keep the nontriggered events for training.
\item Can't afford to loose $1/3$ of data.
\item Very small difference between triggered events and non-triggered events.
\end{itemize}


	\textref {M.Chrz\k{a}szcz 2013}
\end{frame}
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\section{MC Mixing}
\begin{frame}\frametitle{MC Mixing}
{~}\\
Last week Jon reported that that we have a discrepancy between the number of events in the MC.
I decided to rerun whole simulation from scratch for the most relevant channel:$\PDs \to \tau X$\\
Previous time:
\begin{itemize}
\item Generator Efficiency: $63.111 \pm 0.0766$
\item Generator Efficiency Cut: $11.9557 \pm 0.022$
\end{itemize}
This time:
\begin{itemize}
\item Generator Efficiency:$ 63.142 \pm 0.0857$
\item Generator Efficiency Cut:  $11.971 \pm 0.0178$

\end{itemize}
\begin{alertblock}{Conclusion}
Need to sit down with Jon to undestand what is the difference of what we compute
\end{alertblock}

	\textref {M.Chrz\k{a}szcz 2013}
\end{frame}









\end{document}