| 23 |
|
and with the observation of one event in the signal region. |
| 24 |
|
We calculate a Bayesian 95\% CL upper limit\cite{ref:bayes.f} |
| 25 |
|
on the number of non SM events in the signal region to be 4.1. |
| 26 |
< |
This was calculated using a background prediction of $N_{BG}=1.7 \pm 1.1$ |
| 26 |
> |
We have also calculated this limit using a profile likelihood method |
| 27 |
> |
as implemented in the cl95cms software, and we also find 4.1. |
| 28 |
> |
These limits were calculated using a background prediction of $N_{BG}=1.7 \pm 1.1$ |
| 29 |
|
events. The upper limit is not very sensitive to the choice of |
| 30 |
|
$N_{BG}$ and its uncertainty. |
| 31 |
|
|
| 50 |
|
with our upper limit of 4.1 events. The key ingredients |
| 51 |
|
of such studies are the kinematical cuts described |
| 52 |
|
in this note, the lepton efficiencies, and the detector |
| 53 |
< |
responses for SumJetPt and \met/$\sqrt{\rm SumJetPt}$~\footnote{Please note |
| 54 |
< |
that the following quantities have been evaluated with Spring10 MC samples.}. |
| 53 |
> |
responses for SumJetPt and \met/$\sqrt{\rm SumJetPt}$. These |
| 54 |
> |
quantities have been evaluated with Spring10 MC samples, |
| 55 |
> |
and we are currently checking if any of them change after |
| 56 |
> |
switching to Fall10 MC. |
| 57 |
|
The muon identification efficiency is $\approx 95\%$; |
| 58 |
|
the electron identification efficiency varies from $\approx$ 63\% at |
| 59 |
|
$P_T = 10$ GeV to 91\% for $P_T > 30$ GeV. The isolation |
| 60 |
|
efficiency in top events varies from $\approx 83\%$ (muons) |
| 61 |
|
and $\approx 89\%$ (electrons) at $P_T=10$ GeV to |
| 62 |
< |
$\approx 95\%$ for $P_T>60$ GeV. The average detector |
| 62 |
> |
$\approx 95\%$ for $P_T>60$ GeV. |
| 63 |
> |
{\bf \color{red} THE FOLLOWING QUANTITIES SHOULD BE RECALCULATED AFTER |
| 64 |
> |
WE FIX THE BUGS WITH THE MET IN LM SAMPLES} |
| 65 |
> |
The average detector |
| 66 |
|
responses for SumJetPt and $\met/\sqrt{\rm SumJetPt}$ are |
| 67 |
|
$1.00 \pm 0.05$ and $0.94 \pm 0.05$ respectively, where |
| 68 |
|
the uncertainties are from the jet energy scale uncertainty. |
| 77 |
|
signal region. |
| 78 |
|
% (SumJetPt $>$ 300 GeV and \met/$\sqrt{\rm SumJetPt} > 8.5$ |
| 79 |
|
% Gev$^{\frac{1}{2}}$). |
| 80 |
+ |
{\bf \color{red} THE FOLLOWING QUANTITIES SHOULD BE RECALCULATED AFTER |
| 81 |
+ |
WE FIX THE BUGS WITH THE MET IN LM SAMPLES} |
| 82 |
|
We find that the average SumJetPt response |
| 83 |
|
in the Monte Carlo |
| 84 |
|
is very close to one, with an RMS of order 10\% while |
| 106 |
|
The response is defined as the ratio of the reconstructed quantity |
| 107 |
|
to the true quantity in MC. These plots are done using the LM0 |
| 108 |
|
Monte Carlo, but they are not expected to depend strongly on |
| 109 |
< |
the underlying physics.} |
| 109 |
> |
the underlying physics. |
| 110 |
> |
{\bf \color{red} UPDATE AFTER FIXING BUGS WITH LM SAMPLES. } } |
| 111 |
|
\end{center} |
| 112 |
|
\end{figure} |
