1. Hough-D(mc)- ππJpsi(Data)

2. Work Real data learn ππJpsi (3686, 09 year) Learn Pipijpsi.cxx code
PATTSF&PATTSF+HOUGH MC psi(3770)->D+ D-, D+->k- π + π + ,D-->k+ π - π -
Real data learn ππJpsi (3686, 09 year)
Learn Pipijpsi.cxx code

3. MC D->k π π Data sample: Reconstruction method: Analysis
Aim to find how many signal can be retrieved by HOUGH in MC
Data sample:
MC psi(3770)->D+ D-, D+->k- π + π + ,D-->k+ π - π -
200,000 events
Non uniformed magnetic
Mix background in reconstruction
Reconstruction method:
PATTSF+HOUGH
PATTSF
Analysis
DDecayAlg in BOSS 665
Use DtagAlg

4. MC D->k π π a mistake ? Delta E cut: 0.03(GeV/c2)
Crystal ball & AugusBG function to fit mBC signal and background
Compare signal found by PATTSF and PATTSF+HOUGH
before deltaE cut
After deltaE cut
(GeV/c2)
(GeV/c2)
(GeV/c2)
a mistake ?

5. MC D->k π π a mistake ? PATTSF+HOUGH PATTSF Signal number:
PATTSF+HOUGH: noise-signal-ratio*：574
PATTSF: noise-signal-ratio：562
Signal Upgrate :18557 , 4.7%
a mistake ?
* noise-signal-ratio: signal/sqrt(signal+noise)

6. Jpsi data learn
Data(3686)： /bes3fs/offline/data/raw/round02/090307/run_ *
Generate rec file for checking
1,380,000 events
Try large events collection , but some jobs failed due to memory lose

7. π tracking efficiency More data for validation j/psi-> e+ e-
j/psi-> mu +mu-
More data for validation

8. Check some events different in reconstruction
1:lost
2:bad par
Lost track found by HOUGH
Track with Bad parameter tracking again

9. Check some events different in reconstrucion
4 tracks -> 5 tracks *
PATTSF+HOUGH
PATTSF
Bad par track delete after PATTSF
*Efficiency : n4/(n3+n4+n5)

10. Check some events different in reconstrution
Time of noise is close to the signal
Ghost track cause tracking efficiency drops
PATTSF+HOUGH
PATTSF
Ghost track passed track selection will influence the analysis

11. Check some events different in reconstruction
5 tracks -> 4 tracks *
PATTSF+HOUGH
PATTSF
More tracks found by HOUGH
*Efficiency : n4/(n3+n4+n5)

12. Need to fix memory loss problem and run more data
Noise cause many fake tracks in Hough for real data
Although fake tracks seem not serious problem for physics tracking efficiency , they should be reduced in tracking