|
Preselection :
| cuts | 202 | |
| Ndata | Nmc | |
| 6113 | 5370 |
|
| 1464 | 1204 |
|
| 743 | 673 |
|
| 600 | 554 |
|
| EHPC < 50 | 352 | 383 |
| EEMF < 20 | 264 | 297 |
| ESTIC < 15 | 256 | 284 |
| 40o tagger veto | 233 | 254 |
DATA-MC comparison :
You can either see the plots in html format,
or download the postscipt source
They include also the neural network outputs after
the preselection.
Final selection :
The final cut is perfomed on the "signal" output of each neural network. A combination of the mass windows and of the stop and sbottom analysis is perfomed applying an "OR" condition between the analysis.
Signal efficiencies :
Efficiencies have been obtained after a linear interpolation.
Number of events :
| SBOTTOM | |||
| High |
Low |
Combined | |
| Data | 0 | 0 | 0 |
| MC | 0.28 |
0.04 |
0.29 |
| STOP | |||
| High | Low |
Combined | |
| Data | 1 | 0 | 1 |
| MC | 0.45 |
0.21 |
0.60 |
| SQUARK | |||
| Data | 1 | ||
| MC | 0.80 |
||