Draft of EGamma Recommendations August 2017 Presentation

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docs/presentations/2017_08_08/main.tex

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+% rubber: module pdftex
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+\documentclass[english,aspectratio=43,9pt]{beamer}
+\usepackage{graphicx}
+\usepackage{amssymb}
+\usepackage{booktabs}
+\usepackage{siunitx}
+\usepackage{subcaption}
+\usepackage{marvosym}
+\usepackage{verbatim}
+
+\newcommand{\pb}{\si{\pico\barn}}%
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+\begin{document}
+
+\title[EGM Recom. August 2017]{EGM Recommendations, August 2017}
+\author[C. Fangmeier]{\textbf{Caleb Fangmeier} \\ Georgios Krintiras \\ Till Arndt}
+% \institute[UNL]{University of Nebraska \-- Lincoln}
+\date{August 8, 2017}
+
+\titlegraphic{%
+\begin{figure}
+  \vspace{-0.5cm}
+  \includegraphics[width=0.75in]{CMSlogo.png} \\
+  \vspace{0.3cm}
+  \includegraphics[width=0.75in]{nebraska-n.png}\hspace{0.25in}
+  \includegraphics[width=0.75in]{UCLlogo.png}\hspace{0.25in}
+  \includegraphics[width=0.75in]{DESYlogo.png}
+\end{figure}
+}
+
+
+\begin{frame}[plain]
+  \titlepage%
+\end{frame}
+
+
+\begin{frame}{Introduction}
+  \begin{itemize}
+    \item EGM issues recommendations for
+      \begin{itemize}
+        \item Identification, both cut-based and MVA
+        \item Efficiency scale factors
+        \item Energy Calculation (Regression)
+        \item Energy scale factors and smearing for MC
+      \end{itemize}
+    \item For 2016 Data, ``Ultimate'' recommendations are available.
+    \item For 2017 Data, there are initial recommendations \alert{but many have not yet converged.}
+    \item As this is just a 10 min talk, I'll mostly just be pointing to various talks/TWikis with more information.
+  \end{itemize}
+\end{frame}
+
+\begin{frame}{Electron Identification \-- Cut Based}
+  \begin{columns} \begin{column}{0.5\textwidth}
+    \begin{itemize}
+        \item Four available working points
+          \begin{itemize}
+              \item Veto (eff. $\sim 95\%$)
+              \item Loose (eff. $\sim 90\%$)
+              \item Medium (eff. $\sim 80\%$)
+              \item Tight (eff. $\sim 70\%$)
+          \end{itemize}
+        \item The 80X-tuned ID is recommended for 2016 data.
+        \item For now, the same holds for 2017 data. New IDs will be tuned when more data is available. (expected by end of the year)
+        \item See Ilya's \href{https://indico.cern.ch/event/647765/contributions/2632811/attachments/1480145/2294932/talk_egmIDs_on_90X.pdf}{talk} for more information on 2016 IDs with 2017 MC.
+        \item {\footnotesize \url{twiki.cern.ch/twiki/bin/view/CMS/CutBasedElectronIdentificationRun2}}
+    \end{itemize}
+  \end{column} \begin{column}{0.5\textwidth}
+    \begin{figure}
+      \vspace{-.5in}
+      \includegraphics[width=\textwidth]{figures/electron_cuts.png}
+    \end{figure}
+  \end{column} \end{columns}
+\end{frame}
+
+\begin{frame}{Electron Identification \-- MVA}
+  \begin{itemize}
+      \item For most analyses, the ``General Purpose MVA'' is recommended.
+      \item There is also a more specialized ``HZZ MVA'' developed for the ICHEP 2016 HZZ result specialized for running at very high efficiencies. ($\sim 98\%$)
+      \item Two specified working points
+        \begin{itemize}
+          \item WP80 (eff. $\sim 80\%$)
+          \item WP90 (eff. $\sim 90\%$)
+        \end{itemize}
+    \item Tested on 2017 MC samples and shows reasonable performance,
+    \item {\footnotesize \url{twiki.cern.ch/twiki/bin/view/CMS/MultivariateElectronIdentificationRun2}}
+  \end{itemize}
+  \begin{figure}
+    \includegraphics[width=0.75\textwidth]{figures/MVA_performance.png}
+  \end{figure}
+\end{frame}
+
+\begin{frame}{Electron Identification \-- HEEP (high energy)}
+  \begin{itemize}
+      \item Specialized ID for very high energy ($\sim 1$TeV) electrons.
+    \item As of August 1, HEEP V70 is the recommended version
+    \item Implemented in the VID (versioned identification) Framework. See TWiki for instructions on usage/integration.
+    \item \url{twiki.cern.ch/twiki/bin/view/CMS/HEEPElectronIdentificationRun2}
+  \end{itemize}
+\end{frame}
+
+\begin{frame}{Photon Identification}
+  \begin{itemize}
+      \item Recommendations are similar to electrons.
+      \item See relevant TWiki pages for details.
+        \begin{itemize}
+            \item \url{twiki.cern.ch/twiki/bin/view/CMS/CutBasedPhotonIdentificationRun2}
+            \item \url{twiki.cern.ch/twiki/bin/view/CMS/MultivariatePhotonIdentificationRun2}
+        \end{itemize}
+  \end{itemize}
+\end{frame}
+
+\begin{frame}{Efficiency and Scale Factors}
+  \begin{itemize}
+    \item Available for 2016 data for all mentioned IDs.
+    \item Moriond 2017 recommendations are most current for 2016 data.
+    \item For 2017 data, scale factors will likely be different. EGM will publish updated numbers shortly after 2017 IDs are finalized.
+    \item Instructions: \url{twiki.cern.ch/twiki/bin/viewauth/CMS/EgammaIDRecipesRun2} \\ Under \textbf{Electron/Photon efficiencies and scale factors}
+    \item More Details: \url{twiki.cern.ch/twiki/bin/view/CMS/ElectronScaleFactorsRun2}
+  \end{itemize}
+\end{frame}
+
+
+\begin{frame}{Energy Regression, \& MC Energy Scale Correction \& Smearing}
+  \begin{itemize}
+    \item Latest recommendation for 2016 data is still the Moriond 2017 recommendation. (See TWiki)
+    \item Still unavailable for 2017 data, stay tuned for announcements.
+    \item In mean time, recommendation for 2017 data is to use electrons and photons from standard collections.
+    \item \url{twiki.cern.ch/twiki/bin/viewauth/CMS/EGMRegression}
+    \item \url{twiki.cern.ch/twiki/bin/viewauth/CMS/EGMSmearer}
+  \end{itemize}
+\end{frame}
+
+\end{document}