# JetEtMissPublicResultsINSITU

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

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

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

**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.

**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.

**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

**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.

**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.

**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.

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

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

**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 $R = 0.7$.

**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

**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 $R = 0.7$.

**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}.

**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.

**Caption:**
The jet response $\pt(\mbox{reconstructed})/\pt(\mbox{truth})$
at the EM scale versus the jet pseudorapidity {\eta}

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

**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 $|\eta| < 0.1$.

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

**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).

**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).

**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.

**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.

**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.

**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.

**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.

**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.

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

**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 $1\ifb$.

**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 $p_0/x+p_1$.

**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 $p_0/x+p_1$.

**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.

**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).

**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).

**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 $1\ifb$.

**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.

**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.

**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
($\epsilon = 0$).

**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
($\epsilon = 0$).

**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.

**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**