Update on: SN ratio SN thresholds in clustering Charge calibration
8/7/16 Giacomo Caria and Phillip Urquijo University of Melbourne
Update on: SN ratio SN thresholds in clustering Charge calibration - - PowerPoint PPT Presentation
Update on: SN ratio SN thresholds in clustering Charge calibration 8/7/16 Giacomo Caria and Phillip Urquijo University of Melbourne Comparison of TB data with TB simulation TB data - run 329 simulation Tracks momentum, unbiased Tracks
8/7/16 Giacomo Caria and Phillip Urquijo University of Melbourne
p(GeV) 1 2 3 4 5 6 7 8 9 10 counts 50 100 150 200 250
Tracks momentum, unbiased
cTrackP
Entries 7555 Mean 2.964 Std Dev 1.603
Tracks momentum, unbiased
p(GeV) 1 2 3 4 5 6 7 8 9 10 counts 10 20 30 40 50
310 ×
Tracks momentum, unbiased
cTrackP
Entries 1336949 Mean 3.532 Std Dev 1.954
Tracks momentum, unbiased
momentum reconstruction improved, due to new alignment ?
SN ratio 20 40 60 counts 100 200 300
Sensor: 3-2-U
size = 1 size = 2
SN ratio 20 40 60 counts 10 20 30 40 50
3
10 ×
Sensor: 3-2-U
size = 1 size = 2
Noise (ADU) 2 4 6 8 counts 2 4 6
3
10 ×
Sensor: 3-2-U
size = 1 size = 2
Noise (ADU) 2 4 6 8 counts 0.05 0.1 0.15 0.2
6
10 ×
Sensor: 3-2-U
size = 1 size = 2
SN ratio 20 40 60 counts 20 40 60 80
3
10 ×
Sensor: 3-2-V
size = 1 size = 2
Noise (ADU) 2 4 6 8 counts 0.05 0.1 0.15 0.2 0.25
6
10 ×
Sensor: 3-2-V
size = 1 size = 2
SN ratio 20 40 60 counts 100 200 300
Sensor: 3-2-V
size = 1 size = 2
Noise (ADU) 2 4 6 8 counts 1 2 3 4
3
10 ×
Sensor: 3-2-V
size = 1 size = 2
HIGHER IN SIM ! LOWER IN SIM !
SN ratio 20 40 60 counts 100 200 300
Sensor: 4-2-U
size = 1 size = 2
Noise (ADU) 2 4 6 8 counts 2 4 6
3
10 ×
Sensor: 4-2-U
size = 1 size = 2
SN ratio 20 40 60 counts 20 40 60
3
10 ×
Sensor: 4-2-U
size = 1 size = 2
Noise (ADU) 2 4 6 8 counts 0.05 0.1 0.15 0.2 0.25
6
10 ×
Sensor: 4-2-U
size = 1 size = 2
SN ratio 20 40 60 counts 20 40 60
3
10 ×
Sensor: 4-2-V
size = 1 size = 2
Noise (ADU) 2 4 6 8 counts 0.05 0.1 0.15 0.2
6
10 ×
Sensor: 4-2-V
size = 1 size = 2
SN ratio 20 40 60 counts 100 200 300 400
Sensor: 4-2-V
size = 1 size = 2
Noise (ADU) 2 4 6 8 counts 1 2 3 4
3
10 ×
Sensor: 4-2-V
size = 1 size = 2
HIGHER IN SIM ! LOWER IN SIM !
SN noise 2 3 4 5 6 7 8 SN seed 2 3 4 5 6 7 8
Side U, SN cls = 2
0.0010.9956 0.1576
0.00090.9922 0.1642
0.00090.9894 0.165
0.00090.9871 0.1663
0.00080.9834 0.1785
0.00080.9781 0.1928
0.00070.9683 0.2067
0.00090.9927 0.163
0.00090.9927 0.163
0.00090.9896 0.1648
0.00090.9872 0.1662
0.00080.9834 0.1784
0.00080.9781 0.1928
0.00070.9683 0.2067
0.00090.9901 0.1635
0.00090.9901 0.1635
0.00090.9901 0.1635
0.00090.9876 0.1659
0.00080.9836 0.1782
0.00080.9782 0.1926
0.00070.9684 0.2066
0.00090.9882 0.1644
0.00090.9882 0.1644
0.00090.9882 0.1644
0.00090.9882 0.1644
0.00080.9839 0.1777
0.00080.9784 0.1923
0.00070.9684 0.2063
0.00090.985 0.1727
0.00090.985 0.1727
0.00090.985 0.1727
0.00090.985 0.1727
0.00090.985 0.1727
0.00080.9792 0.1893
0.00070.9691 0.2043
0.00080.9805 0.1839
0.00080.9805 0.1839
0.00080.9805 0.1839
0.00080.9805 0.1839
0.00080.9805 0.1839
0.00080.9805 0.1839
0.00070.9701 0.2006
0.00070.9712 0.1962
0.00070.9712 0.1962
0.00070.9712 0.1962
0.00070.9712 0.1962
0.00070.9712 0.1962
0.00070.9712 0.1962
0.00070.9712 0.1962
efficiency fakes efficiency This is a tool to study to impact of SN thresholds in the SVD clustering efficiency. Should be repeated in the much higher background environment of Belle II.
cClusterDedx4-2
Entries 513550 Mean 5378 Std Dev 1473 / ndf
2χ 1.395e+04 / 45 kappa 0.0 ± 0.1 beta2 0.0 ± 1 mean 1.7 ± 4836 sigma 1.2 ± 634.2 Amp 1.979e+02 ± 9.219e+04
ADU/cm 2 4 6 8 10 12
310 × counts 5 10 15 20 25
310 ×
cClusterDedx4-2
Entries 513550 Mean 5378 Std Dev 1473 / ndf
2χ 1.395e+04 / 45 kappa 0.0 ± 0.1 beta2 0.0 ± 1 mean 1.7 ± 4836 sigma 1.2 ± 634.2 Amp 1.979e+02 ± 9.219e+04
U + V energy loss, layer 4, sensor 2
4-2-p=5
Entries 583194 Mean 3.67 Std Dev 1.626 / ndf
2χ 4364 / 43 kappa 0.0 ± 0.1 beta2 0.0 ± 1 mean 0.001 ± 2.952 sigma 0.0008 ± 0.3316 Amp 1.359e+02 ± 6.149e+04
MeV/cm 2 4 6 8 10 12 counts 5 10 15
3
10 ×
4-2-p=5
Entries 583194 Mean 3.67 Std Dev 1.626 / ndf
2χ 4364 / 43 kappa 0.0 ± 0.1 beta2 0.0 ± 1 mean 0.001 ± 2.952 sigma 0.0008 ± 0.3316 Amp 1.359e+02 ± 6.149e+04
4-2-p=5
Sensor Constant +/- error [e / ADU] 3.2 190.176 +/- 0.143 4.2 159.046 +/- 0.119 5.3 178.419 +/- 0.134 6.3 169.976 +/- 0.165 6.4 159.305 +/- 0.159