\documentclass[xcolor=svgnames]{beamer} \usepackage[utf8]{inputenc} \usepackage[english]{babel} \usepackage{polski} %\usepackage{amssymb,amsmath} %\usepackage[latin1]{inputenc} %\usepackage{amsmath} %\newcommand\abs[1]{\left|#1\right|} \usepackage{amsmath} \newcommand\abs[1]{\left|#1\right|} \usepackage{hepnicenames} \usepackage{hepunits} \usepackage{color} %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%5 \definecolor{mygreen}{cmyk}{0.82,0.11,1,0.25} \usetheme{Sybila} \title[Weekend updates]{Weekend updates} \author{Marcin Chrz\k{a}szcz$^{1}$, Nicola Serra$^{1}$} \institute{$^1$~University of Zurich} \date{\today} \begin{document} % --------------------------- SLIDE -------------------------------------------- \frame[plain]{\titlepage} \author{Marcin Chrz\k{a}szcz{~}} \institute{(UZH)} % ------------------------------------------------------------------------------ % --------------------------- SLIDE -------------------------------------------- \section{Background studies} \begin{frame}\frametitle{Weight correlation with $\color{white}{\textbf{B}}$ mass} \begin{itemize} \item First thing that come to my mind was the different treatment of background in different methods. \item Performed a Pearson correlation check for low and high recoil on data sidebands. \end{itemize} \begin{columns} \column{2.5in} \center{$0.1~\GeV^2 q^2 < 8 \GeV^2$}\\ \includegraphics[width=0.9\textwidth]{corr/plot_highrecoil.png} \column{2.5in} \center{$15~\GeV^2 q^2 < 19 \GeV^2$}\\ \includegraphics[width=0.9\textwidth]{corr/plot_lowrecoil.png} \end{columns} \begin{itemize} \item Clear correlation between mass and unfolding weight. \item Impact on the analysis has to be studied. \end{itemize} \end{frame} \begin{frame}\frametitle{First bin problem} \begin{itemize} \item I already mentioned this and no one is worried so this is my final calling to everyone caution. \item All right side band events ($M_{\PB}>5350\MeV$) are comming from 2012. There are no background events in 2011 data! \item Optimistic calculation: \begin{itemize} \item 21 events in $3~\invfb$, 7 events peer $\invfb$. \item Probability to expect 7 events and observed 0 is $0.0009$ which corresponds to $3.3~\sigma$ significance! \item Taking into account look elsewhere effect(14 bins): $14\times0.0009= 0.0126$, this is like $2.4~\sigma$. \end{itemize} \end{itemize} \center{\includegraphics[width=0.35\textwidth]{53314186647.png}} \end{frame} \begin{frame}\frametitle{Comparison of Chebyshev fit} \begin{itemize} \item Since I wanted to compare more in detail the difference between left and right sideband I fitted a Chebyshev to them separately. \item All plots: \texttt{wget --user=lhcb --password=2924 \url{http://nz17-p1.ifj.edu.pl/work_public/LHCb/Kst_mumu/Bkg_studies/plots.tar.gz}} \item Over all I see a tension. \end{itemize} \begin{columns} \column{2.5in} \center{Left: \\ \includegraphics[width=0.8\textwidth]{bkg/BLIND_Q2_0_1_0_98_left.png}} \column{2.5in} \center{Right: \\ \includegraphics[width=0.8\textwidth]{bkg/BLIND_Q2_0_1_0_98_right.png}} \end{columns} \end{frame} %%%%%%%%%%%%%%%%%%%%%%% \begin{frame}\frametitle{Background conclusions} To conclude: \begin{itemize} \item There are to many hints of something being wrong. \item I know some of you will say:"Statistically insignificant", but if you add them up you are looking at something that is starting to be significant. \end{itemize} \end{frame} \end{document}