1. 100MeV learning

2. MC To learn track with different pt from ( 50~120MeV)
Now learn pt=100MeV for example
Simulate fixpt single track pt =100MeV
Pion-
Disable decay
Disable delta e

3. Different event evtStyle: record different event
evtStyle == 0 : other hits in MdcDigi hit collection but not in Mc imformation
evtStyle == 999 : multi-curved event
evtStyle ==1 : one curved event
evtStyle == maxlayer <12 ( |cos| too large)
-999 1
999
total 3
232
3629
1115
4979

4. Define hits style by MC information
Hits on the first half of track
Hits on the second half of track
Hits on the second curved track of a multi-turn event
Multi-Curved event:
1115/4779=23% in fixpt=100MeV pion-
number of multi-curved event
vs costa
Proportion of multi-curved event
vs costa
Inside |cos|<0.4 when|cos| get smaller ,more multi-curved tracks

5. Layer max : the outer layer track can hit
In all one-curved events ,
Layer 35 : stereo hit
Layer 36 : axial hit
Tend to collect more axial hits

6. Number of first half-circle Hit vs |cos|
nHit
In all one-curved events ,
Number of first half-circle Hit vs |cos|
Hit number vs |cos|
Below 20 : most are from layer ( 8~12)
0.7>|cos|>0.4: track hit layer 36 ,more axial hit

7. Peak learning Peak + PeakWidth : represent track on Hough space
take evtStyle == 1 ( one-curve event ) into consideration
Define the first half circle hits as useful hits
Test the peak if it matches the track in MC information
Cut Hough space into (400*400) bins (bin width very small )
Rho(houghmap) – rhoTruth
Rho(houghmap) – rhoTruth
3606/3919 = 99.5%
Other event : large pt (seem not 100MeV
add noise
No noise
Get the right peak from hough map
3606/3919 = 98.6%

8. Track learning Peak + PeakWidth : represent track on Hough space
Track hit selection : first half circle hits selected by Hough
Peak width : from (0bins,1bins)..(1bins,1bins) to (8bins,8bins)
Select eff:
Not end …..
(0,0)->(7,8)