% This program can be redistributed and/or modified under the terms
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% Seth Brown, Ph.D.
% sethbrown@drbunsen.org
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% see the macros.tex file for definitions
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% title slide definition
\title{Stuff made at midnight }
%\subtitle{a bias report}
\author{ Marcin Chrz\k{a}szcz$^{1,2}$ ,  Nicola Serra$^{1}$ }
\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
\end{frame}


%-------------------------------------------------------------------
%                          Introduction
%-------------------------------------------------------------------
%
% Set the background for the rest of the slides.
% Insert infoline
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\title{Update on analysis}


%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%2>%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

\section{PID + GeoMVA}
\begin{frame}\frametitle{PID + GeoMVA}
{~}\\
Let's make a rough estimate using MC. This looks promising but doesn't tell the whole story.


  \includegraphics[scale=0.36]{pidmva/ROCPID.png}


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

%\section{Work done so far}
\begin{frame}\frametitle{PID + GeoMVA}
{~}\\
\begin{itemize}
\item Since doing this on data is beyond one week let's make a rule of thumb on MC.
\item Let's say we are sensitive to bins: $PID>0.43+GeoMVA>0.35$
\item On MC signal efficiency is arround $11\%$.
\item Lets see what happens there.
\item What is the date for MVA to be finish?
\end{itemize}


	\textref {M.Chrz\k{a}szcz, N.Serra 2013}
\end{frame}
\begin{frame}\frametitle{PID + GeoMVA}
{~}\\

  \includegraphics[scale=0.30]{pidmva/comparison2.png}\\
  
  Looks like  at least $10\%$ is achievable. Calibration is also doable(need to check statistics).


	\textref {M.Chrz\k{a}szcz, N.Serra 2013}
\end{frame}
\begin{frame}\frametitle{PID + GeoMVA Conclusions}
{~}\\
\begin{itemize}
\item MC bck statistics are not enough to give a definite answer.
\item Need to look at data =(
\item The plan is to have two MVA with and without PID.
\item The extra work is minimal and we can easily gain.
\end{itemize}

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

\begin{frame}\frametitle{$\tau \to 3 \mu$ specifics}
{~}


\only<1>
{	
In case of $\tau \to 3 \mu$ we want different isolation parameters for different kinds of decays:
	\begin{itemize}
	\item $D \to \tau$
	\item $Ds \to \tau$		
	\item $B \to D \to \tau$
	\item $B \to Ds \to \tau$			
	\item $B \to \tau$	
	\end{itemize}
	
	
}
\only<2>
{	
\begin{enumerate}

\item Does it make any sense to make my life so complicated?
\item YES! 
\item Example: $B \to \tau$ is in $99 \%$ $B \to D \tau X$.
\item This means we if you have D and tau close to each other track from D can go to $\tau$ etc. 
\item In their approach this truck would be considered non-isolating which is nonsense because it forms a bck candidate!
\item From first looks the problem can be reduced to 3 chains:  $B \to \tau$, 
 $B \to Dx \to \tau$, $D \to \tau$.
\end{enumerate}
	
	
}
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%5



\only<3>
{	

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  \includegraphics[scale=0.21]{tmva_tau23mu/mva_BDT.png}


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 \includegraphics[scale=0.21]{tmva_tau23mu/rejBvsS.png}
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	\begin{columns}
\column{2.5in}

  \includegraphics[scale=0.21]{tmva_tau23mu/mva_BDT_21513000.png}


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 \includegraphics[scale=0.21]{tmva_tau23mu/rejBvsS_21513000.png}
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}







\end{frame}




\end{document}