ViewVC Help
View File | Revision Log | Show Annotations | Root Listing
root/cvsroot/COMP/CSA06DOC/mbue.tex
Revision: 1.4
Committed: Sun Jan 28 19:14:17 2007 UTC (18 years, 3 months ago) by acosta
Content type: application/x-tex
Branch: MAIN
CVS Tags: HEAD
Changes since 1.3: +34 -9 lines
Error occurred while calculating annotation data.
Log Message:
major edits from DA

File Contents

# Content
1 \subsubsection{Minimum Bias and Underlying Event}
2 Minimum Bias (MB) collisions at the LHC are generic inelastic
3 proton-proton interactions, including hard scattering and diffractive
4 components. Studying the features of the MB at the LHC and cross-checking them with the predictions of the Monte Carlo generators is
5 particularly important in order to describe the unavoidable background
6 of pile-up at high luminosity. The Underlying Event (UE), instead,
7 is the softer component of a single proton-proton collision
8 accompanying the hard scattering, and accounting for a large fraction
9 of the activity in terms of multiplicity and momentum of the observed
10 particles.
11
12 The phenomenology of MB and UE is not the same, but the experimental
13 methodology to study them are similar, mostly relying on the
14 reconstruction of charged tracks.
15
16 For what concerns the UE, one can use the topological structure of
17 hadron-hadron collisions to study this activity looking only at the
18 outgoing charged particles.
19 % REFERENZA CDF.
20 Jets are constructed from charged particles using a simple
21 clustering algorithm and then the direction of the leading charged
22 particle jet is used to isolate regions of eta-phi space that are
23 sensitive to the UE. The transverse region to the charged particle jet
24 direction, is almost perpendicular to the plane of the hard 2-to-2
25 scattering and is therefore very sensitive to the UE.
26
27 The Underlying Event (UE) analysis is based on the selection of the following events:
28 \begin{itemize}
29 \item MinimumBias
30 \item Hadronic Jet
31 \item Drell-Yan ($Z \rightarrow \mu \mu$)
32 \end{itemize}
33
34 For each kind of events a filter was created that defines the output
35 stream based on the RECOSIM format. In detail the selection criteria
36 that have been adopted are:
37 \begin{itemize}
38 \item Minimum Bias: a Minimum Bias trigger strategy is not yet defined, as it is not defined higher level selection criteria for this kind of events. A random selection is applied in order to select the events without introducing any additional bias.
39 \item Hadronic Jets: the selection is performed requiring at least one calorimetric jet with a Transverse momentum greater than 20 GeV/c.
40 \item Drell-Yan ($Z \rightarrow \mu \mu$): the stream is defined requiring at least two muons in the central region ( $|\eta| < 2.5$ ) having a minimum transverse momentum of 3 GeV/c and invariant mass above 15 GeV/c.
41 \end{itemize}
42
43 Of course the first filter is also used in the Minimum Bias analysis.
44
45 These three filters have been run at Tier-1 (FNAL and CNAF) and the output was skimmed to the subscribing Tier-2 (Pisa and Florida). The MB skim output was transferred to the Pisa Tier-2 while the output of the Hadronic Jet sand the Drell-Yan skims were transferred to the Florida Tier-2.
46
47 The analysis step was performed using CRAB. Two different analyses for
48 the MB and UE observables were run at Pisa and Florida. Starting from
49 a total sample of $3\times 10^{6}$ MB events, $1.2 \times 10^{6}$
50 Hadronic Jets and $0.5 \times 10^{6}$ DY, we finally performed the
51 analysis on $2 \times 10^{5}$ MB, $10^{5}$ QCD Jet and $10^{5}$ DY
52 events.
53
54 The analysis code is committed in CMSSW under the packages
55 AnalysisExamples/MinimumBiasUnderlyingEvent. The modules using the
56 reconstructed and generator level quantities provide directly the
57 relevant plots of the analysis.
58 In the MB analysis we are particularly interested on the event track multiplicity and
59 transverse momentum distribution Figure~\ref{fig:minbias_variables}.
60
61 \begin{figure}
62 \centering
63 \includegraphics[scale=0.3]{figs/dN_vs_pt_MB}
64 \includegraphics[scale=0.3]{figs/dN_vs_eta_MB}
65 \caption{(right) Pt distribution of reconstructed track (left) multiplicity of
66 reconstructed track as function of $\eta$}
67 \label{fig:minbias_variables}
68 \end{figure}
69
70 In the UE analysis for the hadronic topologies, instead, we concentrate on the observables
71 in the activity in different regions with respect to the charged jets, studying in particular the energy
72 density ($\delta P_{Tsum}/\delta \eta \delta \phi $) and the charge density ($\delta N_{chg}/\delta \eta \delta \phi$ ).
73 Figure~\ref{fig:ue_minbias} and Figure~\ref{fig:ue_jets} report the energy and charge density against the distance with respect
74 to the leading charged jets, for Minimum Bias and Hadronic Jet events respectively.
75
76 \begin{figure}
77 \centering
78 \includegraphics[scale=0.3]{figs/dPt_vs_dphi_MB}
79 \includegraphics[scale=0.3]{figs/dN_vs_dphi_MB}
80 \caption{UE variables evaluated in Minimum Bias events, (right) energy density, (left) charge density.}
81 \label{fig:ue_minbias}
82 \end{figure}
83
84 \begin{figure}
85 \centering
86 \includegraphics[scale=0.3]{figs/dPt_vs_dphi_Jet}
87 \includegraphics[scale=0.3]{figs/dN_vs_dphi_Jet}
88 \caption{UE variables evaluated in Hadronic jet events, (right) energy density, (left) charge density.}
89 \label{fig:ue_jets}
90 \end{figure}