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JetEtMissPublicResultsINSITU

jetmultiplicityvsenergy.
Caption: {Mean jet multiplicity for jets with $\pt>10\GeV$ as a function of \pt\ of the $Z$ boson in $Z$\,+\,jet events.

deltaphicone04.
Caption: $\Delta \phi$ between the photon and the jet for a) {\cone} algorithm with $R = 0.4$.

deltaphikt10.
Caption: $\Delta \phi$ between the photon and the jet for b) \kt\ algorithm with $D = 1$.

Fig4new.
Caption: Left in all rows: the mean value of the fitted \pt\ balance $B_\Sigma$ as a function of $p_{\mathrm{T},\,Z}$ in $Z$\,+\,jet events. Particle level jets (squares) and jets reconstructed from detector signals (circles) are shown. Middle in all rows: $B_\Sigma$ distribution for $p_{\mathrm{T},\,Z} \sim 50\GeV$ for truth jets. Right in all rows: $B_\Sigma$ distribution for $p_{\mathrm{T},\,Z} \sim 50\GeV$ for reconstructed jets. Upper row: all jets with $\pt>1\GeV$ are taken into account. Middle row: only jets with $\pt>10\GeV$ are used and the requirement $|\pi - \Delta\phi| < 0.2$ is imposed. Lower row: in addition, no further jet with $\pt>10\GeV$ is allowed.

balance-algo.
Caption: Mean value of the fitted \pt\ balance ($B_1$ + 1) as a function of $p_\mathrm{T,\,\gamma}$ in $\gamma$\,+\,jet {\herwig} events for various jet algorithms. The points correspond to particle level and parton level jets.

gammapartonscatterplot.
Caption: {The \pt\ of the parton versus the \pt\ of the photon as produced in the hard interaction in $\gamma$\,+\,jet events. \label{figs/gamjet/gammapartonbalance

TrueBalBin.
Caption: The solid line shows the balance when the {\pt} reference for binning is taken as the average {\pt} of the photon and the jet; the triangles when it is taken as the photon {\pt}. The circles show the balance when the photon {\pt} is used and the photon and the jet are required to be back-to-back within 0.2.

TrueBalVsPt_wide.
Caption: The solid line shows the balance when the {\pt} reference for binning is taken as the average {\pt} of the photon and the jet; the triangles when it is taken as the photon {\pt}. The circles show the balance when the photon {\pt} is used and the photon and the jet are required to be back-to-back within 0.2. Right: the {\pt} dependence of the most probable value of the particle level jet balance for these three cases.

RecoBalVsPt_wide_NoCrack.
Caption: The most probable value of the balance at reconstruction level for {\cone} jets with $R = 0.7$. Black and dots are for default and tight selection, respectively, and the points show the truth level balance. The back-to-back $\Delta \phi$ cut is applied.

BackBalHisto_loose.
Caption: Left: {\pt} balance for the background sample of $140 <\pt < 280\GeV$ for the default and tight photon selection.

BackBalHisto.
Caption: Right: {\pt} balance for the signal and background sample in the interval ${96 <p_{\mathrm{T},\,\gamma} < 224\GeV}$ for tight photon selection.

Ana_Minv1_200_C7.
Caption: Distribution of the dielectron mass for \Zej\ events and the relevant background in a simulated event sample corresponding to an integrated luminosity of $200$\,{\ipb} with {\cone} jets with $R = 0.7$.

JES_500_alp_C7.
Caption: The \pt\ balance for an integrated luminosity of 500\,{\ipb} of {\cone} jets with $R = 0.7$ in events generated with {\alpgen} in 5 bins of $p_{\mathrm{T},\,Z}$. The red dots are for reconstructed jets, solid triangles for truth jets and open triangles for truth in bins of average

Comp_alp_pyt_120_C7.
Caption: The \pt\ balance for an integrated luminosity of $120\ipb$ and $500\ipb$ in events generated with {\alpgen} (dots and triangles, respectively) and for $120\ipb$ in events generated with {\pythia} (squares) in bins of $p_{\mathrm{T},\,Z}$ for {\cone} jets with $R = 0.7$.

Cone4TowerJets-lumi00.
Caption: The energy dependence of the jet response for {\cone} jets with $R = 0.4$. The solid line corresponds to the fit using Eq.~\ref{EE}.

calibration.
Caption: The ratios $E_\mathrm{T}^\mathrm{MC}/E_\mathrm{T}^\mathrm{calib}$ (triangles) and $E_\mathrm{T}^\mathrm{MC}/E_\mathrm{T}^\mathrm{meas}$ (squares) for jets reconstructed using the {\cone} algorithm with $R=0.4$. See the text for an explanation of the symbols.

MeasuredJetResponse-vs-eta-MPF.
Caption: The jet response $\pt(\mbox{reconstructed})/\pt(\mbox{truth})$ at the EM scale versus the jet pseudorapidity {\eta}

phi_distribution_wheel_ini2.
Caption: Left: The jet rate as a function of $\phi$ for jets with the transverse momentum above a certain threshold. .

lumi_required_for_1000events_for_tower.
Caption: Right: Integrated luminosity required to collect 1000 events with jets above the given \pt\ thresholds in each of the 64 $\phi$ sectors in the region $|\eta| < 0.1$.

pt_balance_sum_distribution_120_200GeV.
Caption: Left: The asymmetry $A$ as measured with both jets in the central region $|\eta| < 0.7$ as defined in Eq.~\ref{dijetasymmetry}.

sum_vs_pt.
Caption:

The mean asymmetry obtained from gaussian fits, plotted as a function of the half scalar sum of \pt\ of both jets at the reconstruction level (closed circles) and at the truth particle level (stars).

lumi_required.
Caption: Integrated luminosity required to reach $0.5$\% precision for various \pt\ ranges in the region $0.7 < \eta < 0.8$ with different sets of selection cuts: all {\pythia} dijet events (circles), requiring $\Delta\phi > 3$ between the two leading jets (triangles), requiring in addition less than 4 reconstructed jets in an event (squares), requiring exactly two reconstructed jets (stars).

JESVsPtJ_MultiJet.
Caption: Energy scale of high \pt\ jets relative to lower \pt\ remnant jets as a function of jet \pt, obtained by multijet \pt\ balance method at an integrated luminosity of 1\,fb$^{-1}$. The error bars shown are statistical only.

JESerrVsPtJ_MultiJet.
Caption: Energy scale uncertainty of high \pt\ jets relative to lower \pt\ remnant jets as a function of jet \pt, obtained by multijet \pt\ balance method at an integrated luminosity of 1\,fb$^{-1}$. The error bars shown are statistical only.

BootstrapBalancePtBin.
Caption: The ratio of the absolute value of the vector sum of the non-leading jet \pt\ to the leading jet \pt\ for the \pt\ bin 370--$380\GeV$ fitted by a Gaussian.

BootstrapFullsimCone7.
Caption: The ratio of the absolute value of the vector sum of the non-leading jet \pt\ to the leading jet \pt\ for the \pt\ bin 370--$380\GeV$ fitted by a Gaussian as a function of jet \pt. The mean and the error of the mean of the Gaussian fits are shown. The average of the leading jet \pt\ and of the total \pt\ of the non-leading jets is used for the binning.

BootstrapAtlfastCone4.
Caption: Results using ATLFAST with {\cone} jets with $R = 0.4$. Left: The fitted balance as a function of the average leading and non-leading jets \pt.

BootstrapAtlfastCone4b.
Caption: Results using ATLFAST with {\cone} jets with $R = 0.4$. Iterations of the method using the \pt\ range checked by one iteration as the reference region for the next.

dRMean140to160.1invfb.
Caption: Distributions of the mean of the $\Delta R$ values for the leading two (solid histogram) and five (dashed histogram) tracks in jets with $140<\pt^{\rm truth}<160\GeV$.

dRMean1120to1280.1invfb.
Caption: Distributions of the mean of the $\Delta R$ values for the leading two (solid histogram) and five (dashed histogram) tracks in jets with $1120<\pt^{\rm truth}<1280\GeV$ (right) for an integrated luminosity of $1\ifb$.

dRMean_vs_ptj_Pythia.
Caption: Mean value of the $\Delta R$ distributions as a function of the leading jet truth \pt\ for the leading two (solid points) and five (open points) tracks. The curves represent fits with a function of the form $p_0/x+p_1$.

dRMPV_vs_ptj_Pythia.
Caption: Most probable value obtained from a Landau fit to the peak (right) of the $\Delta R$ distributions as a function of the leading jet truth \pt\ for the leading two (solid points) and five (open points) tracks. The curves represent fits with a function of the form $p_0/x+p_1$.

JESerr_vs_ptj_MeanVsMPV.
Caption: Jet \pt\ scale uncertainty (statistical uncertainty only) as a function of jet truth \pt\ obtained for different choices of $\Delta R$ values and track multiplicities.

dRMPV_vs_ptj_Herwig.
Caption: The most probable $\Delta R$ of the leading two and five tracks as a function of the jet truth \pt\ in {\pythia} (open points) and {\herwig} (solid points).

dRMPV2Tracks_vs_ptj_AbsJES.
Caption: Default fit (solid curve) to the most probable $\Delta R$ of the leading two tracks as a function of the truth jet \pt\ and the curves corresponding to $\pm 5\%$ JES variations at $\pt^\mathrm{jet}=5\GeV$ (dashed and dotted).

JESerr_vs_ptj_all.
Caption: Total and individual systematic and statistical uncertainties as a function of the truth jet \pt\ expected to be obtained from the track angle method for an integrated luminosity of $1\ifb$.

asymmetry1_eta0.0-1.2_PT10.0.
Caption: Asymmetry distributions of two jets for two representative \pt\ bins. Cone jets with $R = 0.7$ in the pseudorapidity region $|\eta|<1.2$ are used. The distributions were fitted with a single Gaussian function.

asymmetry4_eta0.0-1.2_PT10.0.
Caption: Asymmetry distributions of two jets for two representative \pt\ bins. Cone jets with $R = 0.7$ in the pseudorapidity region $|\eta|<1.2$ are used. The distributions were fitted with a single Gaussian function.

Threshold_soft_pt1.
Caption: Resolution versus the $p_\mathrm{T,\,3}$ threshold cut for different \pt\ bins. The line corresponds to the linear fit applied while the dashed-line shows the extrapolation to $p_\mathrm{T,\,3} = 0$, which corresponds to an ideal dijet sample ($\epsilon = 0$).

Threshold_soft_pt4.
Caption: Resolution versus the $p_\mathrm{T,\,3}$ threshold cut for different \pt\ bins. The line corresponds to the linear fit applied while the dashed-line shows the extrapolation to $p_\mathrm{T,\,3} = 0$, which corresponds to an ideal dijet sample ($\epsilon = 0$).

DijetNoSRResolutionDPHI2.8_ETA1.2.
Caption: Jet energy resolution for {\cone} jets with $R = 0.7$ in the pseudorapidity range $|\eta|<1.2$. The results are obtained by using dijet balance techniques with and without applying the soft radiation correction.

kTsketch.
Caption: Sketch of the \kt\ balance technique. The $\eta$ axis corresponds to the azimuthal angular bisector of the dijet system while the $\psi$ axis is defined as being orthogonal to the $\eta$ axis.


Major updates:
-- JamesProudfoot - 19 Jun 2009

Responsible: JamesProudfoot
Last reviewed by: Never reviewed

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Topic revision: r6 - 2010-12-06 - PatrickJussel
 
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