% 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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% title slide definition
\title{Depressing news}
%\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
%--------------------------------------------------------------------




%-------------------------------------------------------------------
%                          Introduction
%-------------------------------------------------------------------
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\title{Update on analysis}


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\begin{frame}\frametitle{Limit variations}
{~}\\
\begin{itemize}
\item Paul prepared new signal PDF using old GeoMVA and old binning for GeoMVA.
\item I calculated the limit with new classifier and new binning and old classifier and old binning.
\item Only removed the PID trash bin.
\item GeoMVA: $9.6\times 10^{-8}$
\item BLEND:$9.1\times 10^{-8}$

\end{itemize}
Conclusions: MN + binning improves. 




\textref {M.Chrz\k{a}szcz 2014}

\end{frame}

\begin{frame}\frametitle{Limit variations 2}
{~}\\
Only thing that can explain this:
\begin{itemize}
\item Bug in the limit script.
\item PIDCalib
\item $\alpha$.
\end{itemize}


\textref {M.Chrz\k{a}szcz 2014}

\end{frame}


\begin{frame}\frametitle{Illuminate me please}
{~}\\
\begin{itemize}
\item Lets take: limit\_Tau23Mu\_withsystematics\_unblinded\_PAPERdev2
\item alpha = 2.515
\item $\eta$ veto: alpha=alpha/0.812 = 3.1
\item Rest of alpha manipulation is trashing, which both alpha don't include.
\item what did i miss to go from 3.1 to 4.1?
\end{itemize}


\textref {M.Chrz\k{a}szcz 2014}

\end{frame}
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\begin{frame}\frametitle{$\eta$ stuff}
{~}\\
\begin{itemize}
\item After applying all selections $\eta \to \mu \mu \gamma$ bck I got left 505 events.
\item Rule of thumb calculations means that we should get $50$ events peer $1fb^{-1}$.
\item To little events for bin by bin fit.
\item Let's fit a single PDF and fix the PDF on this case. Will make our life easier.
\end{itemize}
   \includegraphics[scale=0.15]{PDF.png}



\textref {M.Chrz\k{a}szcz 2014}

\end{frame}
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\end{document}