...
Variable | AllEvents | Prefiltered Events |
|---|---|---|
VetoHit1 | | |
AcdEngSc | | |
AcdEng45Sc | | |
AcdEng30Sc | | |
AcdEng15Sc | | |
With these variables (and some familiar ones) we can make a Classification Tree.
Variable | Importance |
|---|---|
CTBCORE | 0.1760 |
AcdEngSc45 | 0.1614 |
AcdEngSc15 | 0.1541 |
AcdTotalEnergy | 0.1113 |
AcdEngSc (aka AcdTotalTileEventEnergyRatio) | 0.08972 |
VetoHit1 | 0.07846 |
AcdEngSc30 | 0.06908 |
Tkr1SSDVeto | 0.05000 |
VetoGap | 0.04099 |
AcdRibbonEnergy | 0.02754 |
VetoGap1 | 0.02169 |
VetoHit | 0.01968 |
This plot show the performance of the CT (in red) relative to the pass 6 cuts (3 black circles). The prefilter performances are also shown.
For comparison the CT performance without any prefilters is also show (in blue). 
Just to give some numbers, here are numbers for 3 difference values of cutting on the CT output.
|| Class || Gamma Effic || Bkg Effic
|| Expression
||
| |||
AcdEng15Sc |
|
| |
Class | Gamma Effic | Bkg Effic | Expression |
|---|---|---|---|
transient | 86.4% | 0.43% | prefilter && MVA_BDT > 0.38 |
source | 84.1% | 0.33% | prefilter && MVA_BDT > 0.43 |
diffuse | 81.2% | 0.27% | prefilter && MVA_BDT > 0.48 |
Basically, these numbers correspond to either 20% reduction in residual background at given signal efficiency or 4% increse in signal efficiency at give background.