Event Selection using Run1234
Kenji Hamano
Last modified : Dec 12, 2007
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Event Selection
R16b skims Run1-4 was used.
All MC numbers are luminosity normalised to OnPeak data
0. BToDlnu skim
Delta_S / S = 0.0115212 (D0), 0.0153828 (D+)
Number of candidates & Delta_S / S
D mass plot
1. Tihghter Kaon Selection
Use KMicroNotPion selector
Delta_S / S = 0.00656846 (D0), 0.0153831 (D+)
Number of candidates & Delta_S / S
D mass plot
3. D and B vertexing
Tihghter Kaon Selection is applied.
D and B vertexing using TreeFitter
Number of candidates & Delta_S / S
B=Non,D=Non
B=Non,D=0.0001
B=Non,D=0.001
B=Non,D=0.01
B=Non,D=0.1
B=0.0001,D=Non
B=0.0001,D=0.0001
B=0.0001,D=0.001
B=0.0001,D=0.01
B=0.0001,D=0.1
B=0.001,D=Non
B=0.001,D=0.0001
B=0.001,D=0.001
B=0.001,D=0.01
B=0.001,D=0.1
B=0.01,D=Non
B=0.01,D=0.0001
B=0.01,D=0.001
D mass plot
B=0.01,D=0.01
B=0.01,D=0.1
B=0.1,D=Non
B=0.1,D=0.0001
B=0.1,D=0.001
B=0.1,D=0.01
B=0.1,D=0.1
Err (D0 only) | D prob > | | | | |
B prob > | no cut | 0.0001 | 0.001 | 0.01 | 0.1 |
no cut | 0.00656846 | 0.00595032 | 0.005886 | 0.005807 | 0.00589463 |
0.0001 | 0.00549184 | 0.00548224 | 0.00545542 | 0.00541834 | 0.00553709 |
0.001 | 0.0053846 | 0.00538357 | 0.00537378 | 0.00534861 | 0.00547657 |
0.01 | 0.00524898 | 0.00524829 | 0.00524816 | 0.00524554 | 0.00538858 |
0.1 | 0.00520427 | 0.00520395 | 0.00520386 | 0.00520368 | 0.00530704 |
Err (D+ only) | D prob > | | | | |
B prob > | no cut | 0.0001 | 0.001 | 0.01 | 0.1 |
no cut | 0.0153831 | 0.0128289 | 0.012697 | 0.012555 | 0.0127351 |
0.0001 | 0.0122143 | 0.0121979 | 0.0121232 | 0.0120253 | 0.0122308 |
0.001 | 0.0120045 | 0.0120040 | 0.0119866 | 0.0119202 | 0.0121446 |
0.01 | 0.011742 | 0.0117418 | 0.0117417 | 0.0117389 | 0.012004 |
0.1 | 0.011672 | 0.0116718 | 0.0116718 | 0.0116716 | 0.0118123 |
Best uncertainty is given by D prob > 0.01 and B prob > 0.1
But, since no big difference on uncertainties, we prefer looser cut.
Thus, the best cut is D prob > 0.001 and B prob > 0.01
4. Thrust cut
Tihghter Kaon Selection is applied.
D prob > 0.001 and B prob > 0.01 applied
Using thrust of Dl and non-Dl, apply cuts on |cosTheta_{Dl-nonDl}|
Plot (D0)
Plot (D+)
Number of candidates & Delta_S / S
No cut
0.96
0.92
D mass plot
D mass plot (Electron only)
D mass plot (Muon only)
0.88
0.84
0.80
(D0) | Err |
no cut | 0.00524816 |
|cosTheta| < 0.96 | 0.00462526 |
0.92 | 0.00428304 |
0.88 | 0.00405069 |
0.84 | 0.00388861 |
0.80 | 0.00378443 |
(D+) | Err |
no cut | 0.0117417 |
|cosTheta| < 0.96 | 0.0106368 |
0.92 | 0.00991743 |
0.88 | 0.00943539 |
0.84 | 0.00910735 |
0.80 | 0.00890127 |
Best uncertainty is given by |cosTheta_{Dl-nonDl}| < 0.80
But, since no big difference on uncertainties after 0.92, we prefer looser cut.
Thus, the best cut is |cosTheta_{Dl-nonDl}| < 0.92
Summary of cuts
Err | D0 | D+ |
BToDlnu skim | 0.01952 | 0.0269 |
KMicroNotPion | 0.01154 | 0.0269 |
Vtx B=0.01, D=0.001 | 0.00929 | 0.0208 |
|cosTheta| < 0.92 | 0.00764 (39 %) | 0.0177 (66 %) |
Nunber of signal candidates | D0 | D+ |
BToDlnu skim | 300194 | 177725 |
KMicroNotPion | 292993 (97.6 %) | 177725 (100 %) |
Vtx B=0.01, D=0.001 | 276669 (92.2 %) | 161267 (90.7 %) |
|cosTheta| < 0.92 | 250420 (83.5 %) | 146269 (82.3 %) |
Cut flow table
Yeild = sideband subtracted number of candidates.
0BToDlnuSkim
1TightKCuts
2DonlyVtxCuts
3VtxCuts
4ThrustCuts
D0 | OnPeak - Off Peak yeild | efficiency | cumultive efficiency | BBbar MC yeild | efficiency | cumultive efficiency |
BToDlnu skim | 1.33881e+06 | n/a | n/a | 1.46792e+06 | n/a | n/a |
Tight K | 1.34097e+06 | 1.002 | 1.002 | 1.4449e+06 | 0.9871 | 0.9871 |
Vertexing | 1.1961e+06 | 0.8920 | 0.8934 | 1.32037e+06 | 0.9138 | 0.8995 |
Thrust cut | 1.06508e+06 | 0.8905 | 0.7955 | 1.17891e+06 | 0.8928 | 0.8031 |
D+ | OnPeak - Off Peak yeild | efficiency | cumultive efficiency | BBbar MC yeild | efficiency | cumultive efficiency |
BToDlnu skim | 825616 | n/a | n/a | 1.00608e+06 | n/a | n/a |
Tight K | 825625 | 1.0000 | 1.0000 | 1.00606e+06 | 1.0000 | 1.0000 |
Vertexing | 700745 | 0.8487 | 0.8487 | 870188 | 0.8494 | 0.8494 |
Thrust cut | 621453 | 0.8868 | 0.7527 | 766995 | 0.8814 | 0.7624 |