Difference: JetEtmissApproved2013HighMuJets (1 vs. 3)

Revision 32013-07-30 - MichaelBegel

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META TOPICPARENT name="JetEtmissPublicResults"
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  ρ is calculated using kt R=0.4 jets reconstructed from locally calibrated (LCW) topoclusters within |η|<2. The density calculation is with respect to the Voronoi area of the jets as defined
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in [[http://iopscience.iop.org/1126-6708/2008/04/005][JHEP 0804 (2008) 005]]. Topoclusters are an attempt to reconstruct three-dimensional
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in JHEP 0804 (2008) 005. Topoclusters are an attempt to reconstruct three-dimensional
 energy deposits in the calorimeter and are built using a nearest-neighbor algorithm that clusters calorimeter cells with energy significance (|Ecell|/σ) >4 for the seed, >2 for
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 using informaton derived from test beam and detailed GEANT4 simulatons (EM scale) and σ is the sum in quadrature of the electronic and expected pileup noise, as described in Sec. 10.5.2 of
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[[http://iopscience.iop.org/1748-0221/3/08/S08003][JINST 3 (2008) S08003]]. Topoclusters can be further calibrated using local
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JINST 3 (2008) S08003. Topoclusters can be further calibrated using local
 information (LCW) as described in
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[[http://www.sciencedirect.com/science/article/pii/S0168900204012884][Nucl. Instrum. Meth. A 531 (2004) 481]]. The pileup noise used in
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Nucl. Instrum. Meth. A 531 (2004) 481. The pileup noise used in
 topoclustering is chosen to match the pileup conditons. Pileup is simulated by overlaying GEANT4 simulated events from PYTHIA (v6.4) including non-diffractive and diffractive events.

Revision 22013-07-29 - MichaelBegel

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META TOPICPARENT name="JetEtmissPublicResults"
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Information Common To All Plots

ρ is calculated using kt R=0.4 jets reconstructed from locally calibrated (LCW) topoclusters within |η|<2. The density calculation is with respect to the Voronoi area of the jets as defined in [[http://iopscience.iop.org/1126-6708/2008/04/005][JHEP 0804 (2008) 005]]. Topoclusters are an attempt to reconstruct three-dimensional energy deposits in the calorimeter and are built using a nearest-neighbor algorithm that clusters calorimeter cells with energy significance (|Ecell|/σ) >4 for the seed, >2 for neighbors, and >0 at the boundary. Ecell is calibrated using informaton derived from test beam and detailed GEANT4 simulatons (EM scale) and σ is the sum in quadrature of the electronic and expected pileup noise, as described in Sec. 10.5.2 of [[http://iopscience.iop.org/1748-0221/3/08/S08003][JINST 3 (2008) S08003]]. Topoclusters can be further calibrated using local information (LCW) as described in [[http://www.sciencedirect.com/science/article/pii/S0168900204012884][Nucl. Instrum. Meth. A 531 (2004) 481]]. The pileup noise used in topoclustering is chosen to match the pileup conditons. Pileup is simulated by overlaying GEANT4 simulated events from PYTHIA (v6.4) including non-diffractive and diffractive events.

Truth jets are built using stable particles from the hard-scatter collision excluding muons and neutrinos. A pileup-jet is defined as a reconstructed jet that is not closely matched in ΔR to a truth jet. We define a close match as ΔR<0.6, and only truth jets with pT >5 GeV are considered.

 

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Distributions of the LCW-scale per-event median pT density ρ (based on topological clusters with |η| < 2) for four representative values of the reconstructed primary vertex multiplicity NPV. Events with the same number of vertices may have widely varying levels of pile-up activity in the calorimeter, as measured by ρ. The use of ρ instead of NPV in the pile-up correction therefore results in significantly reduced fluctuations, or improved energy resolution.

[eps]
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The mean pileup jet multiplicity as a function of the number of truth vertices Nvtx in events with an average number of interactions per bunch crossing (<μ>) of 140. The closed circles (squares) represent the mean number of pileup jets with pT >20 GeV (solid markers) and 40 GeV (open markers) before (magenta) and after (blue) pileup subtraction using the event-by-event median pT density, ρ. Pileup subtraction significantly reduces the mean number of pileup jets per event.


[pdf]
The mean pileup jet multiplicity as a function of the number of truth vertices Nvtx in events with an average number of interactions per bunch crossing (<μ>) of 140. The closed circles (squares) represent the mean number of pileup jets with pT >20 GeV before (magenta) and after (blue) pileup subtraction using the event-by-event median pT density, ρ. Pileup subtraction significantly reduces the mean number of pileup jets per event.
[pdf]
The mean pileup jet multiplicity as a function of the number of truth vertices Nvtx in events with an average number of interactions per bunch crossing (<μ>) of 140. The closed squares (squares) represent the mean number of pileup jets with pT >40 GeV before (magenta) and after (blue) pileup subtraction using the event-by-event median pT density, ρ. Pileup subtraction significantly reduces the mean number of pileup jets per event.
[pdf]
 
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Revision 12013-07-26 - MichaelBegel

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META TOPICPARENT name="JetEtmissPublicResults"
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JetEtmissApproved2013HighMuJets

Distributions of the LCW-scale per-event median pT density ρ (based on topological clusters with |η| < 2) for four representative values of the reconstructed primary vertex multiplicity NPV. Events with the same number of vertices may have widely varying levels of pile-up activity in the calorimeter, as measured by ρ. The use of ρ instead of NPV in the pile-up correction therefore results in significantly reduced fluctuations, or improved energy resolution.
[eps]

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-- MichaelBegel - 26-Jul-2013

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