The energy measurement uncertainties are studied for subjets using the association of calorimeter subjets and track jet subjet
using a simple geometrical matching or the ghost-particle association technique.
Tracks are associated to subjets using the ghost-association (tracks are given negligible momentum and cluster to the subjet using the jet finder algorithms) and geometrical-association (tracks are matched to the subjet if they are less than Rsub apart from the subjet axis in the pseudorapidity-azimuthal plane, hence also named DeltaR association).
[Track multiplicity kt algorithm]
Distributions of track multiplicity (nrk) for subjets in the dijet sample, for Monte Carlo simulation (PYTHIA AUET2b tune). Subjets are built with kt algorithm using Rsub=0.3 from large-R anti-kt (R=1.0) jets calibrated at the Local Cluster Weighting scale (no jet energy scale applied). Tracks associated by the DeltaR matching and by GA show similar overall performance. For the leading subjets the mean value of these distributions is an increasing function of transverse momentum the parent jet. Many subleading subjets have no tracks associated to them. |
[Track multiplicity for the C/A algorithm leading jet]
Distributions of track multiplicity (ntrk) for subjets in the dijet sample, for Monte Carlo simulation (PYTHIA AUET2b tune). Subjets are built with C/A algorithm using Rsub=0.3 from large-R anti-kt (R=1.0) jets calibrated at the Local Cluster Weighting scale (no jet energy scale applied). Tracks associated by the DeltaR matching and by GA show similar overall performance. For the leading subjets the mean value of these distributions is an increasing function of transverse momentum the parent jet. Many subleading subjets have no tracks associated to them. |
[Track multiplicity for the C/A algorithm subleading jet]
Distributions of track multiplicity (ntrk) for subjets in the dijet sample, for Monte Carlo simulation (PYTHIA AUET2b tune). Subjets are built with C/A algorithm using Rsub=0.3 from large-R anti-kt (R=1.0) jets calibrated at the Local Cluster Weighting scale (no jet energy scale applied). Tracks associated by the DeltaR matching and by GA show similar overall performance. For the leading subjets the mean value of these distributions is an increasing function of transverse momentum the parent jet. Many subleading subjets have no tracks associated to them. |
[Track subjet to calo subjet momentum ratio for leading jet, C/A algorithm, ghost association]
Charged-to-total transverse momentum ratio for subjets, rtrk = sum pTtrack / pTsubjet, as a function of the distance of the subjet to the nearest subjet within the jet (DeltaRmin). Subjets are built with the C/A (Rsub=0.3) algorithm from large-R anti-kt (R=1.0) jets calibrated at the Local Cluster Weighting scale (no jet energy scale applied) in the dijet sample, for Monte Carlo simulation (PYTHIA AUET2b tune). |
[Track subjet to calo subjet momentum ratio for leading jet, C/A algorithm, geometrical association]
Charged-to-total transverse momentum ratio for subjets, rtrk = sum pTtrack / pTsubjet, as a function of the distance of the subjet to the nearest subjet within the jet (DeltaRmin). Subjets are built with the C/A (Rsub=0.3) algorithm from large-R anti-kt (R=1.0) jets calibrated at the Local Cluster Weighting scale (no jet energy scale applied) in the dijet sample, for Monte Carlo simulation (PYTHIA AUET2b tune). |
[Track subjet to calo subjet momentum ratio for subleading jet, C/A algorithm ghost association]
Charged-to-total transverse momentum ratio for subjets, rtrk = sum pTtrack / pTsubjet, as a function of the distance of the subjet to the nearest subjet within the jet (DeltaRmin). Subjets are built with the C/A (Rsub=0.3) algorithm from large-R anti-kt (R=1.0) jets calibrated at the Local Cluster Weighting scale (no jet energy scale applied) in the dijet sample, for Monte Carlo simulation (PYTHIA AUET2b tune). |
[Track subjet to calo subjet momentum ratio for subleading jet, C/A algorithm, geometrical association]
Charged-to-total transverse momentum ratio for subjets, rtrk = sum pTtrack / pTsubjet, as a function of the distance of the subjet to the nearest subjet within the jet (DeltaRmin). Subjets are built with C/A (Rsub=0.3) algorithm from large-R anti-kt (R=1.0) jets calibrated at the Local Cluster Weighting scale (no jet energy scale applied) in the dijet sample, for Monte Carlo simulation (PYTHIA AUET2b tune). |
[Track subjet to calo subjet momentum ratio for subleading jets, kt algorithm, geometrical association]
Charged-to-total transverse momentum ratio for subjets, rtrk = sum pTtrack / pTsubjet, as a function of the distance of the subjet to the nearest subjet within the jet (DeltaRmin). Subjets are built with kt (Rsub=0.3) algorithm from large-R anti-kt (R=1.0) jets calibrated at the Local Cluster Weighting scale (no jet energy scale applied) in the dijet sample, for Monte Carlo simulation (PYTHIA AUET2b tune). |
[Track subjet to calo subjet momentum ratio for subleading jets, kt algorithm, ghost-particle association]
Charged-to-total transverse momentum ratio for subjets, rtrk = sum pTtrack / pTsubjet, as a function of the distance of the subjet to the nearest subjet within the jet (DeltaRmin). Subjets are built with kt (Rsub=0.3) algorithm from large-R anti-kt (R=1.0) jets calibrated at the Local Cluster Weighting scale (no jet energy scale applied) in the dijet sample, for Monte Carlo simulation (PYTHIA AUET2b tune). |
[Track subjet to calo subjet momentum ratio for leading jets, kt algorithm, geometrical association]
Charged-to-total transverse momentum ratio for subjets, rtrk = sum pTtrack / pTsubjet, as a function of the distance of the subjet to the nearest subjet within the jet (DeltaRmin). Subjets are built with kt (Rsub=0.3) algorithm from large-R anti-kt (R=1.0) jets calibrated at the Local Cluster Weighting scale (no jet energy scale applied) in the dijet sample, for Monte Carlo simulation (PYTHIA AUET2b tune). |
[Track subjet to calo subjet momentum ratio for leading jets, kt algorithm, ghost-particle association]
Charged-to-total transverse momentum ratio for subjets, rtrk = sum pTtrack / pTsubjet, as a function of the distance of the subjet to the nearest subjet within the jet (DeltaRmin). Subjets are built with kt (Rsub=0.3) algorithm from large-R anti-kt (R=1.0) jets calibrated at the Local Cluster Weighting scale (no jet energy scale applied) in the dijet sample, for Monte Carlo simulation (PYTHIA AUET2b tune). |
Major updates:
-- TancrediCarli - 19-Jul-2012
Responsible: TancrediCarli
Subject: public