THETA
Figure below shows the delta theta distribution, all tracks has been taken into acount.
Using avelable information on can plot the matching distribution for the TRUE tracks, which have passed all detectors
and so-called "fake" tracks (at least in one of the detector hit was missing).
theta - only true tracks:
As it was excepted the constant background is missing in this case.
theta - all fakes together:
Below one can find the mean value and sigma from the narrow Gauss:
// all trcks
Mean:{0.02,0.02,0.03,0.03,0.02,0.06},
Sigma:{1.14,0.87,0.66,0.56,0.50,0.48},
//good tracks
Mean:{0.04,0.02,0.04,0.04,0.03,0.05},
Sigma:{1.30,0.90,0.67,0.58,0.53,0.51},
// fake tracks
Mean:{0.01,0.05,0.00,0.01,-0.04,0.07},
Sigma:{0.81,0.75,0.70,0.63,0.57,0.57},
3 times the same procedure of the fitting with 3 componentes have been used. But different criteria for the track selections
has been choosen. Later on the 2 sigma from the narrow component have been ploted, what is shown in the figure below:
good tracks
bad tracks
all tracks
I think that more interesting is to see following pictures:
all tracks && ringtype==1 (one track associated with ring):
One can see that only for two low bins of the momentum the broad Gauss exist. Where in second case, when more then one track is associated with ring,
broad component is present also in case of hist momentum bins.
all tracks && ringtype==2 (more then one track associated with ring):
// all tracks, ringtype==2
Mean:{0.03,0.01,0.03,0.04,0.02,0.04},
Sigma:{1.38,1.15,0.86,0.72,0.62,0.56},
// all tracks, ringtype==1
Mean:{0.04,0.03,0.04,0.04,0.03,0.07},
Sigma:{1.12,0.83,0.62,0.53,0.51,0.49},
No multiple scatering
Next step in the cross check is to switch off multiple scatering in the GEANT and to see how the situation will look like.
Figure below shows delta theta distribution for all tracks:
In the next step also the condition for the ring type has been applied (one track per one ring):
And in addition only
TRUE TRACKS have been selected.
--
GosiaSudol - 13 Dec 2006