How many zeros (00)00xx00(00) in SMD gives the best MIP ?
Input: ~950K minB pp events from 2004 run. Only data from sector 5 are analyzed below.
Data corruption is of 3.8% (with the zero tolerance approach), accepted 949458 out of 988000 input events. Used runs:
R5107005 R5107008 R5109025 R5109026 R5109035 R5109034 R5109031 R5109030
R5112004
Vary number of '0' before and after 'x' in the SMD pattern. Test with : 2,4,8,16,32,64 zeros. It is equivalent to veto 1,2,...,32 cm on both sides of fired SMD strip(s).
Conclusions:
* # of MIP's per tower changes very slowly with # of '0' (see second column)
* position of the peak is stable +/- 5-10% with varied # of '0' (third column)
* sigma of MIP peak gets narrower with larger # of '0'
* towers on corners of a sector are lost with large # of '0'
* Lets use 8 zeros for further analysis
Fig 1.Distribution of X vs. Y of UxV (post shower in coincidence). For nZero=4,16, and 32.
Histograms accumulated for every tower
* 'b'+ name : requires only positive ADC in post-shower, red
* 'c'+ name : positive post-shower and UxV in this tower, blue
Fig 2.
Example of tower response 05TC02 --> MIP peak is in blue.
Test with : 2,4,8,16,32,64 zeros.
( PS )
Gaussian fit:
nZeros | amplitude | mean | sigma
|
2 | 43.5 +/- 3.0 | 5.8 +/- 0.2 | 3.21 +/- 0.17
|
4 | 34.6 +/- 2.9 | 6.3 +/- 0.2 | 3.37 +/- 0.25
|
8 | 31.7 +/- 2.9 | 6.2 +/- 0.2 | 2.72 +/- 0.18
|
16 | 26.3 +/- 2.7 | 6.4 +/- 0.2 | 2.62 +/- 0.19
|
32 | 17.0 +/- 2.2 | 6.4 +/- 0.3 | 2.70 +/- 0.29
|
Fig 3.
Example of tower response 05TC04 --> MIP peak is in blue.
Test with : 2,4,8,16,32,64 zeros.
( PS )
Gaussian fit:
nZeros | amplitude | mean | sigma
|
2 | 50.6 +/- 3.5 | 6.4 +/- 0.3 | 3.46 +/- 0.27
|
4 | 42.8 +/- 3.3 | 6.7 +/- 0.2 | 3.24 +/- 0.25
|
8 | 29.8 +/- 2.8 | 7.1 +/- 0.3 | 3.06 +/- 0.27
|
16 | 24.2 +/- 2.5 | 7.3 +/- 0.2 | 2.70 +/- 0.21
|
32 | 20.0 +/- 2.4 | 7.7 +/- 0.2 | 2.39 +/- 0.19
|
64 | 13.3 +/- 1.9 | 7.9 +/- 0.3 | 2.33 +/- 0.22
|
Fig 4.
Example of tower response 05TC11 --> MIP peak is in blue.
Test with : 2,4,8,16,32,64 zeros.
( PS )
Gaussian fit:
nZeros | amplitude | mean | sigma
|
2 | 12.7 +/- 1.3 | 15.7 +/- 0.5 | 5.91 +/- 0.53
|
4 | 10.4 +/- 1.2 | 15.6 +/- 0.6 | 5.87 +/- 0.57
|
8 | 7.7 +/- 1.0 | 15.2 +/- 0.9 | 6.16 +/- 0.93
|
16 | 6.4 +/- 1.1 | 15.0 +/- 0.9 | 5.69 +/- 0.93
|
32 | 5.2 +/- 0.9 | 14.6 +/- 1.1 | 6.27 +/- 1.30
|
64 | 4.9 +/- 0.9 | 15.4 +/- 0.8 | 5.14 +/- 0.83
|