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\author{ {\fontspec{Trebuchet MS}Marcin Chrz\k{a}szcz} (Universit\"{a}t Z\"{u}rich)}
\institute{UZH}
\title[$\PB \to \PK \Pe \Pmu$ analysis]{$\PB \to \PK \Pe \Pmu$ analysis}
\date{25 September 2014}


\begin{document}
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{
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\begin{center}
\begin{center}
	\begin{columns}
		\begin{column}{0.9\textwidth}
			\flushright\fontspec{Trebuchet MS}\bfseries \Huge {$\PB \to \PK \Pe \Pmu$ analysis}
		\end{column}
		\begin{column}{0.2\textwidth}
		  %\includegraphics[width=\textwidth]{SHiP-2}
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	\quad
	\vspace{3em}
\begin{columns}
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\flushright \vspace{-1.8em} {\fontspec{Trebuchet MS} \Large Marcin Chrząszcz\\\vspace{-0.1em}\small \href{mailto:mchrzasz@cern.ch}{mchrzasz@cern.ch}}

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\vspace{1em}
%		\footnotesize\textcolor{gray}{With N. Serra, B. Storaci\\Thanks to the theory support from M. Shaposhnikov, D. Gorbunov}\normalsize\\
\vspace{0.5em}
	\textcolor{normal text.fg!50!Comment}{Zurich meeting, CERN\\September 24, 2014}
\end{center}
\end{frame}
}


\begin{frame}[c]{Motivation}
\begin{itemize}
\item There are number of papers linking the $\PBzero \to \PKstar \Pmuon \APmuon$ and $R_k$ anomalies with LFV. 
\item The main reason is that if you have LU breaking the LFV braeking scale in natural way should be close. 
\item A lot of groups concentrate their affords of $\PBzero \to \PK \Ptau \Pmu$.
\item In my opinion the $\PB \to \PK \Pelectron \APmuon$ might be a better candidate.
\item You loose a factor of $10$ because the of the hierarchical structure of NP, but you can this back because of $\tau$ branching fraction.
\item ... and still you do not have the neutrinos to worry about.
\end{itemize}


\end{frame}

\begin{frame}[c]{Stripping}
\begin{itemize}
\item Another nice thing about the $\PB \to \PK \Pmu \Pe$ is the fact we have all the stripping lines there. 
\item Stripping lines used:
\begin{itemize}
\item \texttt{LFVLinesB2heMuLine}
\item \texttt{LFVLinesBu2KJPsieeLine}
\item \texttt{Bs2MuMuLinesBu2JPsiKLine}
\end{itemize}

\end{itemize}


\end{frame}

\begin{frame}[c]{Stripping}

\begin{columns}

\column{0.1in}
\column{2.5in}

\begin{tabular}{| l | c |}
\hline 
\multicolumn{2}{|c|}{Daughter particles}\\
\hline 
\texttt{MIPCHI2DV} & $>25$ \\
\texttt{TRCHI2DOF} & $<3$\\
\texttt{TRGHOSTPROB} & $<0.3$\\
\texttt{PIDe} & $>2$\\
\hline 
\end{tabular}

\column{2.5in}
\begin{tabular}{| l | c |}
\hline 
\multicolumn{2}{|c|}{$\PB$ particles}\\
\hline 
\texttt{VFASPF(VCHI2/VDOF)} & $<9$ \\
\texttt{$\Delta m$} & $<600$\\
\texttt{BPVDIRA} & $>0$\\
\texttt{BPVVDCHI2} & $>225$\\
\texttt{BPVIPCHI2} & $<25$\\
\hline 
\end{tabular}

\end{columns}

\end{frame}


%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\begin{frame}[c]{MVA training}
\begin{itemize}
\item The main reason for the talk is this one ;)
\item Thanks to kaggle we know what are the most useful ML frameworks:
\begin{itemize}
\item Sklearn
\item XGBoost
\item Theanets
\item Neurolab
\item Pybrain
\end{itemize}
\item There is a developing framework for simultaneous training of this all this classifiers:\\
\href{https://github.com/yandex/rep}{\url{https://github.com/yandex/rep}}
\item python based, for last 2 weeks was playing with it.
\end{itemize}


\end{frame}
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\begin{frame}[c]{MVA training}
This has a couple of nice features:
\begin{itemize}
\item Build in k-Folding technique (DONE).
\item Build in classifier and cut optimization (DONE).
\item Build in parallelization (testing).
\end{itemize}


\end{frame}
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

\begin{frame}{Something to piss up Jampi}
A first test I did is to compare our old tmva with the other classifiers:
\includegraphics[width=0.9\textwidth]{images/ROC.pdf}

\end{frame}

\begin{frame}{Isolations}
\begin{itemize}
\item I decided to reuse the isolations created for $\PBzero \to \PKstar \Pmuon \APmuon$.
\item The isolations are now generalized and work for all: $\PB \to \PK \PJpsi(\Plepton \Plepton^{\prime})$.
\item Since the lines I am using are present in Stripping 20 I don't need to wait for any MDSTS rerunning.
\item This variable was quite powerfull in $\PBzero \to \PKstar \Pmuon \APmuon$ and had specially designed data-mc agreement.
\end{itemize}
\begin{columns}

\column{0.1in}
{~}
\column{2.5in}
\includegraphics[width=0.6\textwidth]{images/iso_sig.png}
\column{2.5in}
\includegraphics[width=0.9\textwidth]{images/iso_bkg.png}

\end{columns}

\end{frame}
\begin{frame}{Sum up}
\begin{itemize}
\item Last jobs with control channels are finishing.
\item Work starting but looks promising.
\item Finish the nasty DaVinci stuff.
\item Still want to play with the full optimization of the MVA.
\item Will start calibrating mass.
\end{itemize}


\end{frame}

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\end{document}