Difference: JetEtmissApproved2013Jms (1 vs. 2)

Revision 22013-08-09 - MichaelBegel

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Mean calorimeter-track jet mass ratio distributions rmtrack jet as a function of jet mass for anti-kt, R = 1.0 trimmed jets. The distributions are shown for proton-proton collisions with a centre-of-mass energy of √s = 8 TeV and an integrated luminosity of L = 20 fb-1 in the central calorimeter region, |η| < 1.2 and in the range 600 < pT < 800 GeV. The data/MC comparison Rmtrack jet for Pythia (blue) and Herwig (red) is shown in the lower part of the plot.
 


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Mean calorimeter-track jet mass ratio distributions rmtrack jet as a function of jet pT for anti-kt, R = 1.0 trimmed jets. The distributions are shown for proton-proton collisions with a centre-of-mass energy of √s = 8 TeV and an integrated luminosity of L = 20 fb-1 in the central calorimeter region, |η| < 1.2 and in the range 600 < pT < 800 GeV. The data/MC comparison Rmtrack jet for Pythia (blue) and Herwig (red) is shown in the lower part of the plot.
 


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Mean calorimeter-track jet mass ratio distributions rmtrack jet as a function of jet mass/pT for anti-kt, R = 1.0 trimmed jets. The distributions are shown for proton-proton collisions with a centre-of-mass energy of √s = 8 TeV and an integrated luminosity of L = 20 fb-1 in the central calorimeter region, |η| < 1.2 and in the range 600 < pT < 800 GeV. The data/MC comparison Rmtrack jet for Pythia (blue) and Herwig (red) is shown in the lower part of the plot.
 


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Revision 12013-08-07 - 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 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 JINST 3 (2008) S08003. Topoclusters can be further calibrated using local information (LCW) as described in Nucl. Instrum. Meth. A 531 (2004) 481. The value of the pileup noise (σnoisepile-up) used in the topoclustering is optimized for each value of pileup. Pileup is simulated by overlaying GEANT4 simulated events from PYTHIA (v6.4) including non-diffractive and diffractive events.

Trimming is implemented (as in arXiv:1306.4945) by re-clustering the jet into subjets of radius R=0.3. The clusters belonging to subjets that carry at least 5% of the original jet pT are kept, and those clusters in subjets with less than 5% of the original jet pT are discarded.

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