Violation in Mixing
Violation in Mixing
Violation in Mixing
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92 Ã Ë reconstruction and efficiency studies<br />
20000<br />
17500<br />
15000<br />
12500<br />
10000<br />
ID<br />
Entries<br />
Mean<br />
RMS<br />
UDFLW<br />
OVFLW<br />
ALLCHAN<br />
1000<br />
8736930<br />
0.8675<br />
0.5464<br />
0.<br />
-132.1<br />
0.1899E+06<br />
18000<br />
16000<br />
14000<br />
12000<br />
10000<br />
8000<br />
7500<br />
6000<br />
5000<br />
4000<br />
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2000<br />
0<br />
0 1 2 3 4 5<br />
0<br />
data (sideband and off-res subctracted)<br />
pks<br />
20000<br />
17500<br />
15000<br />
12500<br />
10000<br />
7500<br />
5000<br />
2500<br />
0<br />
ID<br />
Entries<br />
Mean<br />
RMS<br />
UDFLW<br />
OVFLW<br />
ALLCHAN<br />
1000<br />
8736930<br />
0.8675<br />
0.5464<br />
0.<br />
-132.1<br />
0.1899E+06<br />
0 1 2 3 4 5<br />
data-mc comparison (lumi norm.)<br />
pks<br />
0.1<br />
0.08<br />
0.06<br />
0.04<br />
0.02<br />
ID<br />
Entries<br />
Mean<br />
RMS<br />
UDFLW<br />
OVFLW<br />
ALLCHAN<br />
10000<br />
2304439<br />
0.8594<br />
0.5005<br />
0.<br />
-11.19<br />
0.1768E+06<br />
0 1 2 3 4 5<br />
mc bbar<br />
pks<br />
ID<br />
Entries<br />
Mean<br />
RMS<br />
UDFLW<br />
OVFLW<br />
ALLCHAN<br />
1000<br />
8736930<br />
0.8675<br />
0.5464<br />
0.<br />
-132.1<br />
0.1899E+06<br />
0<br />
0 1 2 3 4 5<br />
data-mc comparison (area norm.)<br />
pks<br />
Figure 3-12. Ã Ë reconstructed momentum: the Ã Ë momentum <strong>in</strong> �� events <strong>in</strong> data is obta<strong>in</strong>ed from a<br />
side-band and off-resonance subtraction and compared with the Ã Ë momentum <strong>in</strong> �� Monte Carlo events.<br />
The comparison is done with both a lum<strong>in</strong>osity normalization and an area normalization.<br />
Aga<strong>in</strong> possible dependencies of the reconstructed Ã Ë mass and resolution on flight length and momentum<br />
are <strong>in</strong>vestigated: Fig. 3-16 shows the <strong>in</strong>variant mass and resolution of the reconstructed Ã Ë as function of<br />
modes efficiency # Ã Ë<br />
(%) per event<br />
� � 96.0 0.32<br />
� � 96.2 0.29<br />
84.8 0.27<br />
Ù�× 75.7 0.17<br />
Table 3-4. Event selection efficiency of the hadronic selection <strong>in</strong> generic Monte Carlo events used <strong>in</strong> this<br />
analysis and the number of Ã Ë per event after the hadronic selection from the Monte Carlo truth.<br />
MARCELLA BONA