ah09bProceedings.tex

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\fancyhead[L]{\bf {May 5, 2008}} % Left Odd, Right Even
\fancyfoot[L]{A.~Heikkinen {\em et al.}: 
{\em Ideal $\tau$ tagging with TMVA multivariate data-analysis toolkit}}

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\begin{document}

\title{Ideal $\tau$ tagging with TMVA multivariate data-analysis toolkit
\footnote{Paper \cite{ah09bProceedings} in preparation for CHEP 2009, 21 - 27 March 2009 Prague, 
Czech Republic}}
%\url{http://www.particle.cz/conferences/chep2009/}}
%\title{A Geant4 physics list for spallation reactions}

\author{\underline{A.~Heikkinen}, P.~Kaitaniemi, V. Karim\"{a}ki,
 R.~Kinnunen,  M.~J.~Kortelainen, T.~Lamp\'{e}n, S.~Lehti, T.~Lind\'{e}n, and L.~Wendland} 
\affiliation{Helsinki Institute of Physics, P.O. Box 64, FIN-00014 University of Helsinki, Finland.
E-mail: aatos.heikkinen@cern.ch}

\begin{abstract}
We report our experience on using ROOT package TMVA for
multivariate data analysis, for a problem of $\tau$ tagging in the
framework of heavy charged MSSM Higgs boson searches at the LHC.
With a generator level analysis, 
we investigate how in the ideal case $\tau$ tagging could be performed and 
hadronic $\tau$ decays separated from the
hadronic jets of QCD multi-jet background present in LHC experiments. 
A successful separation of the Higgs signal from the background 
requires a rejection factor of $10^5$ or better against the QCD background. 
The $\tau$ tagging efficiency and background rejection are studied with various MVA classifiers.

%{\bf CHEP'07 abtract (see \cite{heikkinen07lProceedings}):}
%{\em We test the usage of a Toolkit for Multivariate Data Analysis (TMVA) in b tagging.
%Tagging b jets associated with heavy neutral MSSM Higgs bosons at the LHC can be used to
%extract the Higgs bosons from the Drell-Yan background, for which the associated jets are
%mainly light quark and gluon jets. Achievable b tagging effciency is studied with more than
%ten MVA classifiers at 1% mistagging rate. Most classifiers were found to perform better than
%the simple track counting 

\end{abstract}

\maketitle


\tableofcontents

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\section{INTRODUCTION \label{section:intro}}
We have previously tested TMVA software in b-tagging for the search of MSSM Higgs bosons 
at the LHC \cite{heikkinen07lProceedings}.
\section{MULTIVARIATE DATA ANALYSIS}
\subsection{TMVA methodology}


\section{DATA AND VARIABLES}

\subsection{Event generation}
Pythia6 and Tauola (a dedicated package to perform decays of tau-leptons) was used.
%\subsection{Ideal case vs. detector effects}
% smearing
%\subsection{Discriminating variables}
\subsection{Variables used in a standard analysis }

In order to enable comparison between different MVA classifiers 
we prepared a standard
analyis using variables with fixed preselections cuts:

\begin{tabular}{l*{2}{l}r}
\hline
Variable                                    & Selection                  \\
\hline
Jet $E_T$                                   & {\tt jetEt>119}            \\
Jet $\eta$                                  & {\tt |jeteta|<1.7}         \\
Leading track $p_T$                         & {\tt ldgPt>20}             \\
Track isolation ($\Delta$R=0.50)            & {\tt isolMaxPt50<1.0}      \\
Signal track (1-prog)                       & {\tt signalTracks==1}      \\
ECAL isolation ($\Delta$R=0.10-0.50)        & {\tt ecalIsolEt10\_50<1.8} \\
Electron rejection                          & {\tt hcalRatio>-0.9}       \\
Neutral hadron rejection                    & {\tt hcalRatio<0.1}        \\
$\tau$-helicity correlations \cite{roy00a}: &                            \\
$R_{\tau}$ = p(leading track) / E(jet)      & {\tt rtau>0.8}             \\
\hline
\end{tabular}

\subsection{IMPLEMENTATION \label{section:implementation}}
[code example]

[listing waht was coded, changed in TMVA]

\section{RESULTS} \label{sec:example}
\input{aatos} % NN
\input{pekka}
\input{veikko}
\input{ritva}
\input{matti}
\input{tapio}
\input{sami}
\input{tomas}
\input{lauri}

[Critics: TMVA bugs, is it already mature? Problems?]

[Praisal: what is now working compared to CHEP'07]

\section{CONCLUSION AND DISCUSSION} \label{sec:conclusion}
TMVA

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