Home » PANDA » PandaRoot » Tracking » Lhe Tracking: Kalman Task with STT, worse results
| Lhe Tracking: Kalman Task with STT, worse results [message #11269] |
Sun, 05 December 2010 14:04  |
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Hallo everybody,
when I compare the results after the Kalman Task for the STT and TPC I get worse results with the STT code
according to the reconstruction efficiency and the momentum resolution.
The following parameters have been used:
- Panda Root trunk version, revision 10334
- Geant3
- Box generator: myons with vertex (0,0,0)
- theta = 60°, phi = 0:360°
- one primary track per event, only primary tracks are taken into account in the analyses
- 1e4 events
- Lhe tracking package: ideal track finder + helix prefit + kalman task with correct particle hypothesis
- MVD+STT or MVD+TPC+GEM tracking detectors, new MVD geometry: Mvd-2.1_AddDisks_FullVersion
- STT helix hits are taken
- transverse momentum: 200MeV/c -> total momentum 230.94MeV/c
STT, 86% reconstruction efficiency, sigma 3MeV/c, background after Kalman
The strange thing here is that the Kalman produces a lot of background. The dispersion is larger
than 3*sigma of the helix prefit. One can even do a cut on the difference between helix prefit and
Kalman result to enhance the fit quality. This is to my mind a strong evidence that something in the
Kalman code for the STT does not work properly!
TPC, 93% reconstruction efficiency, sigma 2MeV/c
So I wonder if I do something wrong or this is just normal behavior. The smaller reconstruction efficiency is due to
the Helix fit in the STT? Right? But I still do not understand why the results after the Kalman filter look so much different.
greetings
David
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