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% Seth Brown, Ph.D.
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% title slide definition
\title{Updates on activities.}
%\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
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\begin{document}




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


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\section{$\PKstar\mu\mu$ toy MC results.}


\begin{frame}\frametitle{}
\begin{itemize}
\item Chris Langenburgh prepared a "official TOY MC" <- LOL
\item With unfolding of the angles done by him.
\item Last week I wasted analysing this MC.
\end{itemize}



	\textref {M.Chrz\k{a}szcz, N.Serra 2014}
\end{frame}





\begin{frame}\frametitle{Strategy}
\begin{itemize}
\item First try to get back the parameters that were put inside the MC.
\item X-check the unfolding.
\item Perform a fit and MM.
\end{itemize}

	\textref {M.Chrz\k{a}szcz, N.Serra 2014}
\end{frame}

\begin{frame}\frametitle{$S_4$ results}


\begin{tiny}

\begin{center}
  \begin{tabular}{| c | c|  c | c | c | c | }
    \hline
$q^2$ & $S_4^{true}$ & $S_4^{fit}$ & $S_4^{fold}$  &  $S_4^{MM}$ \\  \hline \hline

$[0.1,1.0]$& $ -0.0884 $ & $-0.0872 \pm 0.0009$ & $-0.0874  \pm 0.0010 (1.0)$  &  $-0.0873 \pm 0.0010 (1.1)$ \\  \hline 

$[1.1,2.0]$& $-0.0481$ &  $-0.0449  +- 0.0015$ & $-0.0462  \pm 0.0017 (1.1)$  &  $-0.0477 \pm 0.0018 (0.2)$ \\  \hline 

$[2.0,3.0]$& $ 0.0480$ & $ X \pm Y $ & $ 0.0476  \pm 0.0016 (0.25)$  &  $0.0478 \pm 0.0019 (0.1)$ \\  \hline 

$[3.0,4.0]$& $0.1255$ & $ X \pm Y  $  & $ 0.1253  \pm 0.0016 (0.1)$  &  $0.1262 \pm 0.0019 (0.4)$ \\  \hline 

$[4.0,5.0]$& $0.1765$ & $ X \pm Y $ & $0.1742  \pm 0.0015 (1.5)$  &  $0.1760 \pm 0.0018 (0.3)$ \\  \hline

$[5.0,6.0]$& $0.2089$ & $ X \pm Y $ & $ 0.2065  \pm 0.0015 (1.6)$  &  $0.2081 \pm 0.0017 (0.9)$ \\  \hline

$[6.0,7.0]$& $0.2295$ & $ X \pm Y $ & $ 0.2283  \pm 0.0014 (0.9)$  &  $0.2313 \pm 0.0016 (1.1) $ \\  \hline

$[7.0,8.0]$ & $0.2609$ & $ X \pm Y  $ & $ 0.2428  \pm 0.0014 (13)$  &  $0.2441 \pm 0.0016 (10.5)$ \\  \hline

$[15.0,16.0]$ & $0.2822$ & $ X \pm Y $ & $ 0.2817  \pm 0.0012 (0.4)$ &  $0.2819 \pm 0.0014 (0.2)$ \\  \hline

$[16.0,17.0]$ & $0.2888$ & $ X \pm Y $ & $  0.2878  \pm 0.0013 (0.8)$  &  $0.2890 \pm 0.0015 (0.1)$ \\  \hline

$[17.0,18.0]$ & $0.2987$ & $X \pm Y $ & $ 0.2987  \pm 0.0013 (0.0)$&  $0.2980 \pm0.0016 (0.4)$ \\  \hline

$[18.0,19.0]$ & $0.3139$ & $X \pm Y $ & $ 0.3150  \pm 0.0015 (0.7)$  &  $0.3156 \pm 0.0020 (0.85)$ \\  \hline
    \hline
  \end{tabular}
\end{center}


\end{tiny}
	\textref {M.Chrz\k{a}szcz, N.Serra 2014}
\end{frame}


\begin{frame}\frametitle{$S_5$ results}


\begin{tiny}

\begin{center}
  \begin{tabular}{| c | c|  c | c | c | c | }
    \hline
$q^2$ & $S_5^{true}$ & $S_5^{fit}$ & $S_5^{fold}$  &  $S_5^{MM}$ \\  \hline \hline

$[0.1,1.0]$& $0.2253 $ & $-0.0206  +- 0.0442274$ & $0.2253  \pm 0.0009 (0.0)$  &  $0.2260 \pm 0.0009 (0.8)$ \\  \hline 
$[1.1,2.0]$& $0.1652 $ & $X \pm Y $ & $0.1674  \pm 0.0016 (1.4)$  &  $0.1671 \pm 0.0018 (1.1)$ \\  \hline 
$[2.0,3.0]$& $-0.0287 $ & $ X \pm Y  $ & $ -0.0301  \pm0.0017 (0.8)$  &  $-0.0300 \pm 0.0019 (0.7)$ \\  \hline 
$[3.0,4.0]$& $-0.1897$ & $ X \pm Y  $ & $-0.1919  \pm 0.0016 (1.4)$  &  $-0.1891 \pm 0.0019 (0.3)$ \\  \hline 
$[4.0,5.0]$& $-0.2969 $ & $ X \pm Y  $ & $-0.2971 \pm 0.0015 (0.1)$  &  $-0.2966 \pm 0.0018 (0.3)$ \\  \hline 
$[5.0,6.0]$& $-0.3654 $ & $ X \pm Y  $ & $-0.3682 \pm 0.0014 (2.0)$  &  $-0.3700 \pm 0.0017 (2.7)$ \\  \hline 
$[6.0,7.0]$& $-0.4084 $ & $ X \pm Y  $ & $-0.4092  \pm 0.0013 (0.6)$  &  $-0.4096 \pm 0.0016 (0.8)$ \\  \hline 
$[7.0,8.0]$& $-0.4113 $ & $ X \pm Y  $ & $ -0.4364  \pm 0.0012 (21) $  &  $-0.4356 \pm 0.0015 (16)$ \\  \hline 
$[15.0,16.0]$& $-0.3654 $ & $ X \pm Y  $ & $-0.3650 \pm 0.0011 (0.4)$  &  $-0.3646 \pm 0.0012 (0.3)$ \\  \hline 
$[16.0,17.0]$& $-0.3356 $ & $ X \pm Y  $ & $-0.3349 \pm 0.0011 (0.6)$  &  $-0.3359 \pm 0.0013 (0.2)$ \\  \hline 
$[17.0,18.0]$& $-0.2911 $ & $ X \pm Y  $ & $-0.2903 \pm 0.0013 (0.6)$  &  $-0.2896 \pm 0.0014 (1.1)$ \\  \hline 
$[18.0,19.0]$& $-0.2124 $ & $ X \pm Y  $ & $-0.2152 \pm 0.0016 (1.8)$  &  $-0.2158 \pm 0.0018 (1.9)$ \\  \hline 



    \hline
  \end{tabular}
\end{center}


\end{tiny}
	\textref {M.Chrz\k{a}szcz, N.Serra 2014}
\end{frame}


\begin{frame}\frametitle{$S_7$ results}


\begin{tiny}

\begin{center}
  \begin{tabular}{| c | c|  c | c | c | c | }
    \hline
$q^2$ & $S_7^{true}$ & $S_7^{fit}$ & $S_7^{fold}$  &  $S_7^{MM}$ \\  \hline \hline

$[0.1,1.0]$& $0.0212 $ & $ -0.2047  \pm 0.0442$ & $0.0214  \pm0.0009 (0.2)$  &  $0.0208 \pm 0.0009 (0.4)$ \\  \hline 
$[1.1,2.0]$& $0.0386 $ & $X \pm Y $ & $0.0352  \pm 0.0016 (2.1)$  &  $0.0348 \pm 0.0018 (2.1)$ \\  \hline 
$[2.0,3.0]$& $0.0379 $ & $ X \pm Y  $ & $ 0.0351  \pm 0.0017 (1.6)$  &  $0.0353 \pm 0.0019 (1.4) $ \\  \hline 
$[3.0,4.0]$& $0.0341$ & $ X \pm Y  $ & $0.0368  \pm 0.0017 (1.6)$ &  $0.0363 \pm 0.0019 (1.2)$ \\  \hline 
$[4.0,5.0]$& $0.0306 $ & $ X \pm Y  $ & $0.0293  \pm 0.0016 (0.8)$  &  $0.0303 \pm 0.0018 (0.6)$ \\  \hline 
$[5.0,6.0]$& $0.0284 $ & $ X \pm Y  $ & $ 0.0262  \pm 0.0016 (1.4)$  &  $0.0263 \pm 0.0018 (1.2)$ \\  \hline 
$[6.0,7.0]$& $0.0278 $ & $ X \pm Y  $ & $0.0286  \pm 0.0015 (0.5)$  &  $0.0287 \pm 0.0017 (0.5)$ \\  \hline 
$[7.0,8.0]$& $0.0000 $ & $ X \pm Y  $ & $0.0290 \pm 0.0015 (19.3)$  &  $0.0287 \pm 0.0016 (18)$ \\  \hline 
$[15.0,16.0]$& $0.0000 $ & $ X \pm Y  $ & $-0.0007 \pm 0.0014 (0.5)$  &  $-0.0008 \pm 0.0014 (0.6)$ \\  \hline 
$[16.0,17.0]$& $0.0000 $ & $ X \pm Y  $ & $-0.0026 \pm 0.0015 (1.6)$  &  $-0.0026 \pm 0.0015 (1.7)$ \\  \hline 
$[17.0,18.0]$& $0.0000 $ & $ X \pm Y  $ & $-0.0023  \pm 0.0016 (1.6)$  &  $-0.0021 \pm 0.0017 (1.2)$ \\  \hline 
$[18.0,19.0]$& $0.0000 $ & $ X \pm Y  $ & $-0.0021 \pm 0.0021 (1.0)$ &  $-0.0015 \pm 0.0021 (0.6)$ \\  \hline

    \hline
  \end{tabular}
\end{center}


\end{tiny}
	\textref {M.Chrz\k{a}szcz, N.Serra 2014}
\end{frame}



\begin{frame}\frametitle{$S_8$ results}
\begin{tiny}
\begin{center}
  \begin{tabular}{| c | c|  c | c | c | c | }
    \hline
$q^2$ & $S_8^{true}$ & $S_8^{fit}$ & $S_8^{fold}$  &  $S_8^{MM}$ \\  \hline \hline

$[0.1,1.0]$& $-0.0038 $ & $-0.0061  +- 0.0010$ & $-0.0042  \pm0.0010 (0.4)$  &  $-0.0040 \pm 0.0010 (0.2)$ \\  \hline 
$[1.1,2.0]$& $-0.0107 $ & $X \pm Y $ & $-0.0142  \pm 0.0017 (2.1)$  &  $-0.0135 \pm 0.0018 (1.5)$ \\  \hline 
$[2.0,3.0]$& $-0.0123 $ & $ X \pm Y  $ & $-0.0144 \pm0.0017 (1.2)$  &  $-0.0149 \pm 0.0019 (0.3)$ \\  \hline 
$[3.0,4.0]$& $-0.0121$ & $ X \pm Y  $ & $-0.0112  \pm 0.0016 (0.6)$  &  $-0.0117 \pm  0.0019 (0.2)$ \\  \hline 
$[4.0,5.0]$& $-0.0114 $ & $ X \pm Y  $ & $-0.0123 \pm 0.0016 (0.6)$  &  $-0.0129 \pm 0.0018 (0.8)$ \\  \hline 
$[5.0,6.0]$& $-0.0110 $ & $ X \pm Y  $ & $-0.0118  \pm 0.0016 (0.5)$  &  $-0.0115 \pm 0.0018 (0.3)$ \\  \hline 
$[6.0,7.0]$& $-0.0110 $ & $ X \pm Y  $ & $-0.0110  \pm 0.0016 (0.0)$  &  $-0.0107 \pm 0.0017 (0.2)$ \\  \hline 
$[7.0,8.0]$& $0.0007 $ & $ X \pm Y  $ & $-0.0112 \pm 0.0015 (7.0)$  &  $-0.0113 \pm 0.0016 (6.6)$ \\  \hline 
$[15.0,16.0]$& $0.0003 $ & $ X \pm Y  $ & $-0.0015  \pm 0.0015 (0.8)$  &  $-0.0016 \pm 0.0015 (0.9)$ \\  \hline 
$[16.0,17.0]$& $0.0003 $ & $ X \pm Y  $ & $-0.0020 \pm 0.0016 (1.1)$  &  $-0.0022 \pm 0.0016 (1.2)$ \\  \hline 
$[17.0,18.0]$& $0.0002 $ & $ X \pm Y  $ & $0.0023  \pm 0.0018 (1.2)$  &  $0.0022 \pm 0.0018 (1.1)$ \\  \hline 
$[18.0,19.0]$& $0.0002 $ & $ X \pm Y  $ & $-0.0007  \pm 0.0022 (0.2)$ &  $-0.0012 \pm- 0.0022 (0.5)$ \\  \hline
    \hline
  \end{tabular}
\end{center}
\end{tiny}
	\textref {M.Chrz\k{a}szcz, N.Serra 2014}
\end{frame}


\begin{frame}\frametitle{WTH is going on with $[7.0,8.0]$ ? 1/3}
\begin{itemize}
\item With those parameters from EOS the PDF is negative? <- checked , no
\item Some boundary conditions? <- checked by simulating my toy, no thing going on there.  
\item The parametrs that EOS gives you are not the one they simulated? <- YES!
\end{itemize}



	\textref {M.Chrz\k{a}szcz, N.Serra 2014}
\end{frame}

\begin{frame}\frametitle{WTH is going on with $[7.0,8.0]$ ? 2/3}
\begin{itemize}
\item First I simulated MY toy MC:
\end{itemize}
\lstinputlisting[label=samplecode,caption=My unofficial SHIT MC:]{out.log}
\begin{itemize}
\item PDF is fine, can be fitted(here MM).
\end{itemize}

	\textref {M.Chrz\k{a}szcz, N.Serra 2014}
\end{frame}


\begin{frame}\frametitle{WTH is going on with $[7.0,8.0]$ ? 3/3}
\begin{itemize}
\item Author of this official TOY MC should repeat maths 1 at university.
\end{itemize}
\lstinputlisting[label=samplecode,caption=TABLE from email:]{table1.log}


	\textref {M.Chrz\k{a}szcz, N.Serra 2014}
\end{frame}



\section{$\PKstar\mu\mu$ Unfolding}


\begin{frame}\frametitle{More x-checks}
\begin{itemize}
\item Christoph also performed an unfolding.
\item He parametrized the acceptance corrections using $7^{th}$ order polynomials.
\item Also made a check of this.
\item On his "official TOY MC"
\item Reweighed events($1/\epsilon$) to get back the true distribution.

\end{itemize}





	\textref {M.Chrz\k{a}szcz, N.Serra 2014}
\end{frame}




\begin{frame}\frametitle{More x-checks}

\begin{columns}

\column{2.5in}
  \includegraphics[scale=0.2 ]{plots/SMcosthetak.png}
\column{2.5in}
\includegraphics[scale=0.2 ]{plots/SMcosthetak.png}


\end{columns}
\begin{columns}

\column{2.5in}
  \includegraphics[scale=0.2 ]{plots/SMphi.png}
\column{2.5in}
\includegraphics[scale=0.2 ]{plots/SMq2.png}


\end{columns}

	\textref {M.Chrz\k{a}szcz, N.Serra 2014}
\end{frame}



\begin{frame}\frametitle{More x-checks}
\begin{itemize}
\item Did they get finally something right?
\item You Wish! -> NEXT SLIDE

\end{itemize}





	\textref {M.Chrz\k{a}szcz, N.Serra 2014}
\end{frame}


\begin{frame}\frametitle{Congrats}


\begin{columns}

\column{2.5in}
  \includegraphics[scale=0.2 ]{plots/lhcbcosthetak.png}
\column{2.5in}
\includegraphics[scale=0.2 ]{plots/lhcbcosthetal.png}


\end{columns}
\begin{columns}

\column{2.5in}
  \includegraphics[scale=0.2 ]{plots/lhcbphi.png}
\column{2.5in}
\includegraphics[scale=0.2 ]{plots/lhcbq2.png}


\end{columns}



	\textref {M.Chrz\k{a}szcz, N.Serra 2014}
\end{frame}



\begin{frame}\frametitle{Magic happens when i don't require $\PBzero$ trueID}


\begin{columns}

\column{2.5in}
  \includegraphics[scale=0.2 ]{plots/lhcb_NO_TRUTHcosthetak.png}
\column{2.5in}
\includegraphics[scale=0.2 ]{plots/lhcb_NO_TRUTHcosthetal.png}


\end{columns}
\begin{columns}

\column{2.5in}
  \includegraphics[scale=0.2 ]{plots/lhcb_NO_TRUTHphi.png}
\column{2.5in}
\includegraphics[scale=0.2 ]{plots/lhcb_NO_TRUTHq2.png}


\end{columns}



	\textref {M.Chrz\k{a}szcz, N.Serra 2014}
\end{frame}



\begin{frame}\frametitle{Summary}

\begin{columns}
\column{3in}
\begin{itemize}
\item Big congratulations to authors of this MC.
\item How many bugs did I miss?


\end{itemize}
\column{2in}
\includegraphics[scale=0.3 ]{bug.jpg}


\end{columns}

	\textref {M.Chrz\k{a}szcz, N.Serra 2014}
\end{frame}




\end{document}
