High pileup in LHC collisions can increase incidence of jets by several large factors. To reduce the incidence of jets from pileup and to preserve the rate of good jets, a jet identification based on both vertex information and jet shape information has been developed.The construction of this jet identifier is described and the performances are evaluated using both Z+jets MC simulated samples and Z+jets data collected in the 2012 $\sqrt{s}=8$~TeV run. The effectiveness of this jet identifier is discussed in the context of jet vetoes and vector boson fusion production.|
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Rate of data and MC PU jets with pt>25GeV relative to the expected rate of real jets as a function of the number of reconstructed primary vertices. |
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Jet pT distribution for all jets having a pT > 25GeV for the full 2012 dataset. |
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Jet eta distribution for all jets having a pT > 25 GeV for the full 2012 dataset. |
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Comparison between jet flavors and pileup for jets with pT > 25GeV for the track related variable: beta |
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Comparison between jet flavors and pileup for jets with pT > 25GeV for the track related variable: betaStar |
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Comparison between jet flavors and pileup for jets with pT > 25GeV for the track related variable: dZ |
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Comparison between jet flavors and pileup for jets with pT > 25GeV for the track related variable: number of primary vertices |
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$\langle\Delta R^2 \rangle$ for PF jets with pT > 25GeV and eta < 2.5 |
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$\langle\Delta R^2 \rangle$ for PF jets with pT > 25GeV and eta > 3.0 |
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A < (\Delta R) < A+0.1 for PF jets with pT > 25GeV and eta < 2.5 for A=0.1 |
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A < (\Delta R) < A+0.1 for PF jets with pT > 25GeV and eta < 2.5 for A=0.2 |
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A < (\Delta R) < A+0.1 for PF jets with pT > 25GeV and eta < 2.5 for A=0.3 |
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A < (\Delta R) < A+0.1 for PF jets with pT > 25GeV and eta < 2.5 for A=0.4 |
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A < (\Delta R) < A+0.1 for PF jets with pT > 25GeV and eta < 2.5 for A=0.5 |
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Number of charged particles for PF jets with pT > 25GeV and eta < 2.5 |
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Number of neutral particles for PF jets with pT > 25GeV andeta < 2.5. |
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$p_{T}^{D}$ for PF jets with pT > 25GeV and eta < 2.5. |
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MVA discriminator for particle flow jets with p_{T} > 25GeV and eta < 2.5. |
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MVA discriminator for particle flow jets with p_{T} > 25GeV and 2.5 < eta < 2.75. Disagreement in the pileup region of the MVA is present in the region where 2.5<eta. This is a known effect, which results from improper simulation of out-of-time pileup. |
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MVA discriminator for particle flow jets with p_{T} > 25GeV and 2.75 < eta < 3.0. Disagreement in the pileup region of the MVA is present in the region where 2.5<eta. This is a known effect, which results from improper simulation of out-of-time pileup. |
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MVA discriminator for particle flow jets with p_{T} > 25~\GeV and 3.0 < eta < 5.0. Disagreement in the pileup region of the MVA is present in the region where 2.5<eta. This is a known effect, which results from improper simulation of out-of-time pileup. |
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ROC curves for quark and gluon jets with 25 < pT < 100gev for eta < 2.5 |
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ROC curves for quark and gluon jets with 25 < pT< 100gev for 2.5 < eta < 2.75 |
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ROC curves for quark and gluon jets with 25 < pT < 100 gev for 2.75 < eta < 3.0 |
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ROC curves for quark and gluon jets with 25 < pT < 100 gev for 3.0 < eta < 5.0 |
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Data-MC comparison of the MVA (loose working point) pileup jet identification efficiency versus eta on the Z to mu mu+Jets sample for PF jets with pT > 25GeV |
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Data-MC comparison of the MVA (loose working point) pileup jet identification efficiency versus the number of primary vertices on the Z to mumu +jets sample for PF jets with pT > 25~GeV |
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Data-MC comparison of the MVA (loose working point) pileup jet identification efficiency versus jet pt on the Z(to mumu )+jets sample for PF jets with pT > 25GeV |