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\author{ {\fontspec{Trebuchet MS}M.~Chrz\k{a}szcz, R. Coutinho} (Universit\"{a}t Z\"{u}rich)}
\institute{UZH}
\title[Results and Prospects in Rare and Semi-leptonic decays]{Results and Prospects in Rare and Semi-leptonic decays}
\date{25 September 2014}


\begin{document}
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{
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\begin{center}
\begin{center}
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		\begin{column}{0.99\textwidth}
			\flushright\fontspec{Trebuchet MS}\bfseries \Huge {Results and Prospects in Rare and Semi-leptonic decays}
		\end{column}
		\begin{column}{0.01\textwidth}
		  %\includegraphics[width=\textwidth]{SHiP-2}
		\end{column}
	\end{columns}
\end{center}
	\quad
	\vspace{3em}
\begin{columns}
\begin{column}{0.44\textwidth}
\flushright \vspace{-1.8em} {\fontspec{Trebuchet MS} \Large Marcin Chrząszcz\\\vspace{-0.1em} Rafael Coutinho }

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\includegraphics[height=1.3cm]{uzh-transp}
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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 LHCb meeting, Churwalden\\September 1-2, 2015}
\end{center}
\end{frame}
}


%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\begin{frame}\frametitle{GAMBIT\\ \texttt{\begin{small} N.Serra, M.Chrzaszcz \end{small}}}
The Global And Modular BSM Inference Tool (GAMBIT):
\begin{columns}
\column{3in}
\begin{itemize}
\item We were responsible for all Flavour likelihoods $\Longrightarrow$ convenor ship.
\item 8 papers are almost written!
\item We have a new addition to Flavour group: Florian Bernlochner
\begin{itemize}
\item Scalar singlet
\item CMSSM.
\item MSSM7.
\end{itemize}
\item Adding Danny's EOS to GAMBIT software to replace Super(FUCKING)Iso.
\item Becoming a leader in 
\end{itemize}

\column{2in}
\includegraphics[width=0.75\textwidth]{images/gambit_logo.png}\\
Killed CMSSM:\\
\includegraphics[width=0.85\textwidth]{images/cmmsm.pdf}

\end{columns}



\end{frame} 

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\begin{frame}\frametitle{$\PB \to \PK \Pe \Pmu$ \\ \texttt{\begin{small} N.Serra, M.Chrzaszcz, M.Pikes, K.Schubert, F.Polci \end{small}}}
\begin{columns}
\column{3in}
\begin{itemize}
\item New Physics responsible for $\PB \to \PKstar \Pmu \Pmu$ anomaly can be LFV.
\item We can study the easiest $\PB \to \PK \ell \ell^{\prime}$.
\item Challenges:
\begin{itemize}
\item \texttt{L0} Trigger efficiency control
\item Mass calibration.
\item 2 BDT will be used  $\Rrightarrow$ need to really vell control the correlations!
\end{itemize}
\end{itemize}
\column{2in}
\includegraphics[width=0.7\textwidth]{images/dupa.png}\\
\includegraphics[width=0.7\textwidth]{images/dupa2.png}

\end{columns}
\end{frame} 



%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\begin{frame}\frametitle{$R_k$ \\ \texttt{\begin{small} M.Chrzaszcz + Imperialists \end{small}}}


\begin{itemize}
\item The \texttt{L0} is a mess.
\item With YANDEX we have an idea on permanent solution to the \texttt{L0} trigger efficiency determination.
\item We can use NeuraNet for the pattern recognition in the calorimeter clusters.
\item In this way the \texttt{L0} efficiency is calculated using the full calorimeter information no only the given track which we suspect is the leading source of bias.
\item Run 2 data will be included.
\end{itemize}

\end{frame} 


%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\begin{frame}\frametitle{Run2 analysis: Majorana neutrino \\ \texttt{\begin{small} M.Chrzaszcz + ? \end{small}}}


\begin{itemize}
\item Shelly managed very efficiently to fuck up the $\PB \to \Ppi \Pmu^{-} \Pmu^{-}$ results:
\begin{itemize}
\item Neutrinos interact with detector :)))))) $\Lleftarrow$ love it!
\item The $V_{\mu ,4}$ is wrongly calculated.
\item The limits are shit.
\end{itemize}
\item The problem is that LNV at level that LHCb can see is excluded because of small neutrino masses.
\item The only way that LHCb can avoid this constrain is to look at different channel: $\PB \to \Ppi \Pmu^{-} \Pe^{+}$. In this scenario we have LFV not LNU so we avoid the constrain and we really exclude a interesting parameters space.

\end{itemize}

\end{frame} 


%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\begin{frame}\frametitle{Theory \\ \texttt{\begin{small} Danny + Rafael +  Marcin + \end{small}}}


\begin{itemize}
\item  Angular observables in $\PB \to \PDstar \ell \nu$ and $\PLambda_b \to \PLambda_c \ell \nu$.
\item $R(\PLambda_c^{\ast})$ prediction.
\item Bias factor for the $\PB \to \PKstar \Pmu \Pmu$ Silvestrini factorization.
\item Unbinned WC fit to data of $\Pbeauty \to \Pstrange \ell \ell$

\end{itemize}

\end{frame} 




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\end{document}
