Title: Diapositiva 1
1A (very) preliminary study of channel pp-gth-gtZZ-gt
4mu via gg fusion with CMSSW
Alessandro Giacobbe Cristina Botta Daniele Trocino
Relatrice Chiara Mariotti
2 Signal
gg ? h ? ZZ? 4mu
Leading Order Feynman Diagrams
Torino, 27/03/2007
3 Backgrounds
Leading Order Feynman Diagrams
Torino, 27/03/2007
4 Pythia MC Generation of events
- gg ? h ? ZZ ? 4mu
- ZZ ? 4mu
- Zbb ? 4mu
- tt ? 4mu
(more events for a better study of the signal)
(as we still dont have more events generated by
Comphep)
We work with the expected Luminosity of the first
2 years
Torino, 27/03/2007
5CMSSW what we need to know
- The overall software, called CMSSW, is build
around a Framework, an Event Data Model (EDM) and
services need by the modules that process data - Only one executable cmsRun
- Many plug-in modules run algorithms the same
for detector and MC data
.CFG
MODULE
- used to configure cmsRun at run time
- tells which data to use
- modules to run (all loaded at beginning of the
job) - parameters to set
- component of CMSSW code
- can be plugged into cmsRun
- it is called for every Event according to the
path statement - 6 differet types (Source,EDProducer, EDFilter,
EDAnalyzer, EDLooper, OutpuModule) - configured through .cfg using modul-specific
ParameterSets
Torino, 27/03/2007
6CMSSW how it works
- Events are processed by passing the event
through a sequence of modules - the module can get data from the Event and put
data back to the Event (not every module) - each module can talk to the others only
through the Event
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7 The FourMuFilter
A Filter is a module that we used to apply cuts
in generation.
To be accepted the event must have in the final
state at least 4 mu, 2 positive and 2 negative,
with Pt gt 3 GeV, ? lt 2.5.
Warning
If the Event doesnt satisfy the condition it
wont be automatically rejected. To have in
output only filtered events you need to specify
it in the PooloutModule.
Torino, 27/03/2007
8 The FourMuFilter (2)
- gg ? h ? ZZ ? 4mu
- ZZ( )? 4mu
- Zbb ? 4mu
- tt ? 4mu
GeV
- In the next days our filter will be send to
Filip Moortgat in order to include it in the next
MC production
Torino, 27/03/2007
9 Pythia kinematic cuts (1)
Apart from standard settings that we include in
the list of pythia cards ( such as the choice of
the partonic functions, or the swich on of parton
shower and QED bremsstrahlung), we also introduce
the following Kinematics cuts (that behave like
a pythia inner filter)
- CKIN(45) - CKIN(48) (D 12., -1, 12., -1)
- range of allowed mass values of the two secondary
resonances - produced in a 2-gt1-gt2 process like gg-gth-gtZZ
- CKIN(41) - CKIN(44) (D 12., -1, 12., -1)
- range of allowed mass values of the primary
resonances
Torino, 27/03/2007
10 Pythia kinematic cuts (3)
Cuts set at 5.,150.,5.,150.
Default Kinematics Cuts
The situation is the same. We chosed to let this
setting as it seems to be the standard way.
GeV
Torino, 27/03/2007
11 Pythia kinematic cuts (2)
Cuts set at 5.,150.,5.,150.
Default Kinematics Cuts
Useless generated events. We will surely cut this
peack coming from µ generated by virtual photons.
GeV
Torino, 27/03/2007
12Analysis of the generated variables the
FourMuAnalyzer
- Invariant Mass
- all possible muons pairs
- muons pairs coming from Z ? lower values of
- (in this way we selected candidate Z)
- ZZ pairs
- Transverse Momentum
- pt of all muons
- max, second, third, min pt of muons
- pt of all Z
- Angular Variables
- pseudorapidity of muons and Z
- theta between two muons with same charge
- theta between two muons from Z
- Theta between two candidate Z
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13Plots Normalized and Weighted
Generated Variables of Signal (
) and Background
Transverse Momentum
Torino, 27/03/2007
14Plots Normalized and Weighted
Generated Variables of Signal (
) and Background
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15Plots Normalized and Weighted
Generated Variables of Signal (
) and Background
Torino, 27/03/2007
16Plots Normalized and Weighted
Generated Variables of Signal (
) and Background
Invariant Mass
Torino, 27/03/2007
17Plots Normalized and Weighted
Generated Variables of Signal (
) and Background
Torino, 27/03/2007
18Plots Normalized and Weighted
Generated Variables of Signal (
) and Background
Angular Variables
Torino, 27/03/2007
19Plots Normalized and Weighted
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20How well do we reconstruct Zs? The FourMuTruth
Z candidates ? µµ- couples nearest to Z mass
To measure how much this method works, we define
two efficiencies
Pythia provides history of each generated event
(production/decay chain) ? its possible to
verify how often µ-couples really come from a
generated Z
We get
for both h ? ZZ ? 4µ and ZZ ? 4µ processes
Main inefficiency cause photons emission in
final state
Torino, 19/03/2007
21How well do we reconstruct Zs? The FourMuTruth
Pythia also provides information about all
generated particles (E, p, ? ) ? its possible
to access true data (i.e. generated with MC)
and compare them to reconstructed data (i.e.
from selected µ-couples)
Torino, 19/03/2007
22Higgs produced via VV Fusion
- Aims
- compare Pythia-Phantom for VV-fusion
- (attempt to) separate VV-fusion signal
- from gg-fusion one
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23Weighted plots expected events
Generated variables of signal gg-fusion, signal
VV-fusion, background
Torino, 19/03/2007
24Kinematics differences
Generated variables of signal gg-fusion, signal
VV-fusion, background
Normalized plots
Torino, 19/03/2007
25Kinematics differences
Generated variables of signal gg-fusion, signal
VV-fusion, background
Normalized plots
Torino, 19/03/2007
26Kinematics differences
Generated variables of signal gg-fusion, signal
VV-fusion, background
Normalized plots
Torino, 19/03/2007
27What to do
First of all EXAMS !!!!!!!!
Apply cuts
muons Pt muons pairs invariant mass (Z cand.
mass) find new kinematics variables (muons
collinearity, )
Do the same study for final state
Do the complete simulation- Reconstruction
SIMU-DIGI-RECO
Torino, 19/03/2007