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-
-
- \author{ {M. Chrzaszcz, K. M\"{u}eller}, A. Weiden }
- \institute{UZH}
- \title[Low Mass Drell-Yan at 7,8 and 13 $\rm TeV$]{Low Mass Drell-Yan at 7,8 and 13 $\rm TeV$ }
-
-
- \begin{document}
- \tikzstyle{every picture}+=[remember picture]
-
- {
- \setbeamertemplate{sidebar right}{\llap{\includegraphics[width=\paperwidth,height=\paperheight]{bubble2}}}
- \begin{frame}[c]%{\phantom{title page}}
- \begin{center}
- \begin{center}
- \begin{columns}
- \begin{column}{0.75\textwidth}
- \flushright \bfseries \Huge {Low Mass Drell-Yan Status Report }
- \end{column}
- \begin{column}{0.02\textwidth}
- {~}
- \end{column}
- \begin{column}{0.23\textwidth}
- % \hspace*{-1.cm}
- \vspace*{-3mm}
- \includegraphics[width=0.6\textwidth]{lhcb-logo}
- \end{column}
-
- \end{columns}
- \end{center}
- \quad
- \vspace{3em}
- \begin{columns}
- \begin{column}{0.44\textwidth}
- \flushright \vspace{-1.8em} { \Large Marcin Chrzaszcz\\\vspace{-0.1em} Katharina M\"{u}eller\\\vspace{-0.1em} Andreas Weiden}
-
- \end{column}
- \begin{column}{0.53\textwidth}
- \includegraphics[height=1.3cm]{uzh-transp}
- \end{column}
- \end{columns}
-
- \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}{Analysis and Software Week, CERN\\February 1, 2017}
- \end{center}
- \end{frame}
- }
-
-
- \begin{frame}\frametitle{Introduction to Drell-Yan}
-
- \begin{columns}
- \column{2.5in}
- \begin{itemize}
- \item Drell-Yan are process of two quark anihilations in which neutral current couples to two leptons.
- \item The cross section of this process depends on two components:
- \begin{itemize}
- \item Hard scattering process $\color{OrangeRed}{\Rrightarrow}$ NNLO pQCD.
- \item Parton Distribution Function (PDF).
- \end{itemize}
- \item Measurement of the cross section have a high sensitivity to the PDF
- \item Due to unique coverage $2<y<5$ LHCb probes the $Q^2-x$ region not covered by other experiments.
-
- \end{itemize}
-
- \column{2.5in}
- \includegraphics[width=0.95\textwidth]{images/feynmanDiagram_DrellYan_wRad.png}\\
- \includegraphics[width=0.85\textwidth]{images/Q2_x.png}
-
- \end{columns}
-
-
- \end{frame}
-
-
- \begin{frame}\frametitle{Selection}
- \begin{itemize}
- \item Analysis based on 2011, 2012 data set. Now adding 2016.
- \item Trigger:
- \begin{itemize}
- \item \texttt{L0\_L0DiMuonDecision},
- \item \texttt{Hlt1DiMuonHighMassDecision},
- \item \texttt{Hlt2DiMuonDY(3,4)Decision}
- \end{itemize}
- \item Stripping:
- \begin{itemize}
- \item \texttt{StrippingDY2MuMuLine(3,4)}
- \end{itemize}
- \item Selection:
- \begin{itemize}
- \item $2<\eta^{\mu}<4.5$,
- \item $p^{\mu} > 10~\GeV$,
- \item $p_T^{\mu} > 3~\GeV$,
- \item $\chi^{2,\mu\mu}_{vtx}<5$,
- \item $10< m(\mu\mu) < 120~\GeV$.
- \end{itemize}
- \end{itemize}
- \end{frame}
-
-
- %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
- \begin{frame}\frametitle{Isolation}
- \begin{itemize}
- \item Drell-Yan unfortunately do not peak in mass $\twoheadrightarrow$ need another variable to control the purity.
- \item Instead we define an isolation variable:
- \begin{align*}
- \mu_{ {\rm{iso}}} = \log(p_T^{ cone}(\mu, 0.5) - p_T^{ cone}(\mu, 0.1))
- \end{align*}
- \item For two muons we take the maximum of the two isolations:
- \begin{align*}
- \mu\mu_{ {\rm{iso}}} = \max( \mu_{ {\rm{iso}}}^+, \mu_{ {\rm{iso}}}^-)
- \end{align*}
- \end{itemize}
- \begin{center}
- \begin{columns}
- \column{0.5\textwidth}
- \includegraphics[angle=-90,width=0.9\textwidth]{images/Z0_iso.pdf}
- \column{0.5\textwidth}
- \includegraphics[width=0.8\textwidth]{images/isolation.png}
- \end{columns}
-
- \end{center}
- \end{frame}
-
-
- \begin{frame}
- \frametitle{Isolation as a function of mass}
- Normalized log(isolation) in selected mass bins:
- \begin{figure}
- \includegraphics[angle=-90,width=.52\linewidth]{{images/full_isolation_mass_selected_MC_2012_Down}}
- \includegraphics[angle=-90,width=.52\linewidth]{{images/full_isolation_mass_selected_Data_2012_Down}}
- \end{figure}
-
- Backgrounds smear the isolation in data, especially away from resonances ({\color{orange}orange}). In MC very small mass-dependency, which we need to study.
-
- Even at $Z$ peak ({\color{SkyBlue} blue} and {\color{PineGreen}green}), isolation bulk wider in data than in MC.
- \end{frame}
-
- \begin{frame}
- \frametitle{Explanation of variables}
- \vspace{-1em}
- \begin{figure}
- \includegraphics[width=.8\linewidth]{images/bulk_variables.png}
- \end{figure}
- \[1 / \text{bulk fraction} = \frac{\int {\color{blue}isolated}}{\int {\color{red}bulk}}\]
- \end{frame}
-
-
-
- %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
-
-
- \begin{frame}{Mass dependency of bulk}
- MC, 2012
-
- \centering
- \begin{figure}
- \includegraphics[angle=-90,width=.52\linewidth]{images/MC_isolation_mass_bulk_fraction}
- \includegraphics[angle=-90,width=.52\linewidth]{images/MC_isolation_mass_bulk_mean}
- \end{figure}
- Large mass-dependence of bulk fraction, but smaller mass-dependence of bulk mean.
-
- Difference between {\color{orange}MagUp} and {\color{pink}MagDown} to be investigated.
- \end{frame}
-
- \begin{frame}
- \frametitle{Effect of rapidity}
- \framesubtitle{$Z$-peak}
- Strong dependency of bulk fraction of rapidity.
-
- \begin{figure}
- \includegraphics[angle=-90,width=.7\linewidth]{images/Z_isolation_rapidity_bulk_fraction}
- \end{figure}
-
- 1 / bulk fraction under-estimated in MC.
- \end{frame}
-
- \begin{frame}
- \frametitle{Effect of rapidity}
- \framesubtitle{$Z$-peak}
-
- \begin{figure}
- \includegraphics[angle=-90,width=.52\linewidth]{images/Z_isolation_rapidity_bulk_mean}
- \includegraphics[angle=-90,width=.52\linewidth]{images/Z_isolation_rapidity_bulk_std}
- \end{figure}
-
- MC and data bulk mean and width agree at $Z$-peak. Data shows some dependency of bulk width for high $y$, MC not.
- \end{frame}
-
- \begin{frame}
- \frametitle{Effect of rapidity}
- \framesubtitle{Full mass-range}
- \vspace{-0.4em}
- \begin{figure}
- \includegraphics[angle=-90,width=.7\linewidth]{images/full_rapidity_mass_selected_MC_2012_Down}
- \end{figure}
-
- Rapidity distribution is not the same for different mass-bins (different regions in $x$). Working on finding out if mass dependence is given by this (to be finished by next week).
- \end{frame}
-
-
-
- %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
- \begin{frame}\frametitle{Backgrounds}
- \begin{itemize}
- \item There are two sources of backgrounds:
- \begin{itemize}
- \item Heavy flavour decays.
- \item Mis-ID.
- \end{itemize}
- \item For fitting the $\mu\mu_{iso}$ we need to know both the signal and background distribution.
- \item Background templates can be determined from data
- \begin{itemize}
- \item Heavy flavour decays:\\
- $\looparrowright$ Requiring the $\chi^{2,\mu\mu}_{vtx}>16$\\
- $\looparrowright$ For cross-check $\rm IP>5~\rm mm$
- \item Miss-ID:\\
- $\looparrowright$ Require that both muons have the same sign.\\
- $\looparrowright$ For cross-check take the minimum bias stripping line.
- \end{itemize}
-
-
- \end{itemize}
-
-
-
- \end{frame}
-
-
-
-
-
- %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
- \begin{frame}\frametitle{Cross section calculations}
- \begin{itemize}
- \item To calculate the cross section the luminosity will be used:
- \end{itemize}
- \begin{align*}
- \sigma= \dfrac{ {\color{OliveGreen}{\varrho}} f^{{\rm MIG}}}{{\color{OliveGreen}{\mathcal{L}}} {\color{OliveGreen}{ \varepsilon^{{\rm SEL}}}}} \sum \dfrac{1}{\varepsilon^{{\rm TRIG}} \varepsilon^{{\rm MUID}} {\color{OliveGreen}{\varepsilon^{{\rm GEC}}}} \varepsilon^{{\rm TRACK}}},
- \end{align*}
- where\\
- \begin{itemize}
- \item $ {\color{OliveGreen}{\varrho}}$ signal fraction from the fit.
- \item $f^{{\rm MIG}}$ correction to bin-bin migration.
- \item $ {\color{OliveGreen}{\mathcal{L}}}$ integrated luminosity.
- \item $ {\color{OliveGreen}{\varepsilon^{{\rm SEL}}}}$ efficiency on the vertex requirement.
- \item $\varepsilon^{{\rm MUID}}$ muon identification efficiency.
- \item $ {\color{OliveGreen}{\varepsilon^{{\rm GEC}}}}$ global event cut efficiency.
- \item $\varepsilon^{{\rm TRACK}}$ tracking efficiency.
- \end{itemize}
-
-
- \end{frame}
-
-
-
- %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
- \begin{frame}\frametitle{$ {\color{OliveGreen}{\varepsilon^{{\rm SEL}}}}$}
- \ARROW Evaluated using MC sample:\\{~}\\
-
- \begin{center}
- \begin{tabular}{|c|c|}
- \hline
- $2011$ MagDown & $0.21320 \pm 0.00014$ \\
- $2011$ MagUp & $0.21306 \pm 0.00014$ \\
- $2012$ MagDown & $0.20402 \pm 0.00013$ \\
- $2012$ MagUp & $0.20372 \pm 0.00013$ \\
- \hline
- \end{tabular}
- \end{center}
-
- \ARROW Good agreement between polarities!\\
- \ARROW $2012$ efficiency is lower than the $2011$.\\
- \ARROW Will merge the polarities:
- \begin{center}
- \begin{tabular}{|c|c|}
- \hline
- $2011$ & $0.21313 \pm 0.00010$ \\
- $2012$ & $0.20387 \pm 0.00009$ \\
-
- \hline
- \end{tabular}
- \end{center}
-
-
-
- \end{frame}
-
-
-
- %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
- \begin{frame}\frametitle{$ {\color{OliveGreen}{\varepsilon^{{\rm GEC}}}}$}
- \ARROW Evaluated on data directly, by fitting the $\Gamma( {\rm SPDHits})$ to data:\\{~}\\
- \begin{columns}
- \column{0.1in}
- {~}\\
- \column{0.45\textwidth}
- \ARROW $2011$ data:
- \includegraphics[width=0.95\textwidth]{{images/spdhits_11_y_2_4.5_10500_60000}.png}
- \column{0.45\textwidth}
- \ARROW $2012$ data:
- \includegraphics[width=0.95\textwidth]{{images/spdhits_12_y_2_4.5_10500_60000}.png}
-
- \end{columns}
-
-
-
-
- \end{frame}
-
-
- %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
- \begin{frame}\frametitle{$ {\color{OliveGreen}{\varepsilon^{{\rm GEC}}}}$}
- \ARROW Testing the $y - M_{\mu\mu}$ dependence:\\{~}\\
- \begin{columns}
- \column{0.1in}
- {~}\\
- \column{0.45\textwidth}
- \ARROW $2011$ data\\ $y \in(2,2.25)$\\ $M_{\mu\mu} \in (10.5,12)~\GeV$ :
- \includegraphics[width=0.95\textwidth]{{images/spdhits_11_y_2_2.25_10500_12000}.png}
- \column{0.45\textwidth}
- \ARROW $2012$ data\\ $y \in(2,2.25)$\\ $M_{\mu\mu} \in (10.5,12)~\GeV$ :
- \includegraphics[width=0.95\textwidth]{{images/spdhits_12_y_2_2.25_10500_12000}.png}
- \end{columns}
-
- \ARROW We didn't observe a variation of the efficiency as a function of $M_{\mu\mu}$ and $y$.
-
- \end{frame}
-
-
-
-
- %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
- \begin{frame}\frametitle{$ {\color{OliveGreen}{\varepsilon^{{\rm GEC}}}}$}
- \ARROW Proposed systematic:{~}\\
- \begin{columns}
- \column{0.1in}
- {~}\\
- \column{0.45\textwidth}
- \ARROW $2011$ data:
- \includegraphics[width=0.95\textwidth]{{images/eff11}.png}
- \column{0.45\textwidth}
- \ARROW $2012$ data:
- \includegraphics[width=0.95\textwidth]{{images/eff12}.png}
- \end{columns}
- {~}\\
- \ARROW Suggest the RMS as small systematic.
-
- \end{frame}
-
-
-
-
-
- \begin{frame}
- \frametitle{Conclusions}
- \begin{itemize}
- \item MC isolation template describes data at $Z$-peak reasonably well
- \item But some differences (mainly in $y$) exist, so have to take templates from data (MC can still serve as cross-check)
- \item Templates show a mass-dependence in MC (especially bulk fraction)
- \item Different mass-regions have different rapidity distributions
- \item Needs to be determined if mass-dependence is driven by rapidity-dependence
- \item 2016 MC requested
- \end{itemize}
- \end{frame}
-
-
-
- \begin{frame}{Mass dependency of bulk}
- MC vs data, 2012
-
- \centering
- \begin{figure}
- \includegraphics[angle=-90,width=.52\linewidth]{images/full_isolation_mass_bulk_mean}
- \includegraphics[angle=-90,width=.52\linewidth]{images/full_isolation_mass_bulk_std}
- \end{figure}
- Near the $Z$-peak and the $\Upsilon$-peak good agreement.
-
- Small mass-dependency even in MC ($value\%$).
- \end{frame}
-
- \begin{frame}
- \frametitle{Effect of multiplicity}
- Isolation should, in general, be dependent on multiplicity. First, check if multiplicity is mass dependent.
-
- \begin{figure}
- \includegraphics[angle=-90,width=.52\linewidth]{images/full_nTracks_mass_selected_MC_2012_Down}
- \includegraphics[angle=-90,width=.52\linewidth]{images/full_nSPD_mass_selected_MC_2012_Down}
- \end{figure}
-
- No mass dependency of multiplicity ($nTracks$ and $nSPD$) in MC
- \end{frame}
-
- \begin{frame}
- \frametitle{Effect of multiplicity}
- At $Z$-peak ($ 60 < M_{\mu\mu} < 120 GeV/c^2$)
-
- Isolation not independent of $nTracks$:
-
-
- \begin{figure}
- \includegraphics[angle=-90,width=.52\linewidth]{images/Z_isolation_nTracks_bulk_mean}
- \includegraphics[angle=-90,width=.52\linewidth]{images/Z_isolation_nTracks_bulk_std}
- \end{figure}
-
-
- In data, width and mean of bulk dependent on $nTracks$, in MC only mean.
- \end{frame}
-
- \begin{frame}
- \frametitle{Effect of multiplicity}
- At $Z$-peak ($ 60 < M_{\mu\mu} < 120 GeV/c^2$).
-
- Bulk width not independent of $nSPD$:
-
-
- \begin{figure}
- \includegraphics[angle=-90,width=.52\linewidth]{Z_isolation_nSPD_bulk_mean}
- \includegraphics[angle=-90,width=.52\linewidth]{Z_isolation_nSPD_bulk_std}
- \end{figure}
-
- Mean of bulk agrees in data and MC.
-
- \end{frame}
-
- \begin{frame}
- \frametitle{Multiplicity reweighting}
- {\color{orange}Data}, {\color{PineGreen}MC befor reweighting}, {\color{SkyBlue}MC after reweighting}
-
- \begin{figure}
- \includegraphics[angle=-90,width=.9\linewidth]{multiplicity_reweighting_md_MC}
- \end{figure}
- \end{frame}
-
-
-
- \backupbegin
-
- \begin{frame}\frametitle{Backup}
- \topline
-
- \end{frame}
-
- \backupend
-
- \end{document}