update on sn ratio sn thresholds in clustering charge
play

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


  1. Update on: SN ratio SN thresholds in clustering Charge calibration 8/7/16 Giacomo Caria and Phillip Urquijo University of Melbourne

  2. Comparison of TB data with TB simulation TB data - run 329 simulation Tracks momentum, unbiased Tracks momentum, unbiased Tracks momentum, unbiased Tracks momentum, unbiased 3 × 10 cTrackP cTrackP counts counts 1336949 Entries Entries 7555 250 3.532 Mean 2.964 Mean 50 Std Dev 1.954 Std Dev 1.603 200 40 150 30 100 20 50 10 0 0 0 1 2 3 4 5 6 7 8 9 10 0 1 2 3 4 5 6 7 8 9 10 p(GeV) p(GeV) momentum reconstruction improved, due to new alignment ?

  3. Sensor: 3-2-U Sensor: 3-2-U 3 10 × counts counts size = 1 size = 1 50 300 size = 2 size = 2 40 200 30 20 100 10 0 0 0 20 40 60 0 20 40 60 SN ratio SN ratio Sensor: 3-2-U Sensor: 3-2-U 6 3 10 10 × × 0.2 counts counts 6 size = 1 size = 1 0.15 size = 2 size = 2 4 0.1 2 0.05 0 0 0 2 4 6 8 0 2 4 6 8 Noise (ADU) Noise (ADU)

  4. Sensor: 3-2-V Sensor: 3-2-V 3 10 × counts counts size = 1 size = 1 80 300 size = 2 size = 2 60 200 40 HIGHER IN SIM ! 100 20 0 0 0 20 40 60 0 20 40 60 SN ratio SN ratio Sensor: 3-2-V Sensor: 3-2-V 6 3 10 10 × × 0.25 counts counts 4 size = 1 size = 1 0.2 3 size = 2 size = 2 0.15 LOWER IN SIM ! 2 0.1 1 0.05 0 0 0 2 4 6 8 0 2 4 6 8 Noise (ADU) Noise (ADU)

  5. Sensor: 4-2-U Sensor: 4-2-U 3 10 × counts counts 60 size = 1 size = 1 300 size = 2 size = 2 40 200 20 100 0 0 0 20 40 60 0 20 40 60 SN ratio SN ratio Sensor: 4-2-U Sensor: 4-2-U 6 3 10 10 × × 0.25 counts counts 6 size = 1 size = 1 0.2 size = 2 size = 2 4 0.15 0.1 2 0.05 0 0 0 2 4 6 8 0 2 4 6 8 Noise (ADU) Noise (ADU)

  6. Sensor: 4-2-V Sensor: 4-2-V 3 10 × counts counts size = 1 400 size = 1 60 size = 2 size = 2 300 40 200 HIGHER IN SIM ! 20 100 0 0 0 20 40 60 0 20 40 60 SN ratio SN ratio Sensor: 4-2-V Sensor: 4-2-V 6 3 10 10 × × 4 counts counts size = 1 size = 1 0.2 3 size = 2 size = 2 0.15 LOWER IN SIM ! 2 0.1 1 0.05 0 0 0 2 4 6 8 0 2 4 6 8 Noise (ADU) Noise (ADU)

  7. SN thresholds for clustering efficiency Side U, SN cls = 2 efficiency SN seed 0.0007 0.0007 0.0007 0.0007 0.0007 0.0007 0.0007 0.9683 0.9683 0.9684 0.9684 0.9691 0.9701 0.9712 efficiency 8 0.2067 0.2067 0.2066 0.2063 0.2043 0.2006 0.1962 fakes 0.0008 0.0008 0.0008 0.0008 0.0008 0.0008 0.0007 0.9781 0.9781 0.9782 0.9784 0.9792 0.9805 0.9712 7 0.1928 0.1928 0.1926 0.1923 0.1893 0.1839 0.1962 0.0008 0.0008 0.0008 0.0008 0.0009 0.0008 0.0007 0.9834 0.9834 0.9836 0.9839 0.985 0.9805 0.9712 6 0.1785 0.1784 0.1782 0.1777 0.1727 0.1839 0.1962 This is a tool to study to 0.0009 0.0009 0.0009 0.0009 0.0009 0.0008 0.0007 0.9871 0.9872 0.9876 0.9882 0.985 0.9805 0.9712 5 impact of SN 0.1663 0.1662 0.1659 0.1644 0.1727 0.1839 0.1962 thresholds in the SVD 0.0009 0.0009 0.0009 0.0009 0.0009 0.0008 0.0007 0.9894 0.9896 0.9901 0.9882 0.985 0.9805 0.9712 4 0.165 0.1648 0.1635 0.1644 0.1727 0.1839 0.1962 clustering efficiency. 0.0009 0.0009 0.0009 0.0009 0.0009 0.0008 0.0007 0.9922 0.9927 0.9901 0.9882 0.985 0.9805 0.9712 3 Should be repeated in 0.1642 0.163 0.1635 0.1644 0.1727 0.1839 0.1962 the much higher 0.001 0.0009 0.0009 0.0009 0.0009 0.0008 0.0007 0.9956 0.9927 0.9901 0.9882 0.985 0.9805 0.9712 2 0.1576 0.163 0.1635 0.1644 0.1727 0.1839 0.1962 background 2 3 4 5 6 7 8 SN noise environment of Belle II.

  8. Charge calibration ADU —> e/h pairs U + V energy loss, layer 4, sensor 2 4-2-p=5 3 3 10 × × 10 cClusterDedx4-2 cClusterDedx4-2 4-2-p=5 4-2-p=5 counts counts Entries Entries 513550 513550 25 Entries Entries 583194 583194 Mean Mean 5378 5378 Mean Mean 3.67 3.67 15 Std Dev Std Dev 1473 1473 Std Dev Std Dev 1.626 1.626 2 2 χ χ / ndf / ndf 1.395e+04 / 45 1.395e+04 / 45 2 2 χ χ / ndf / ndf 4364 / 43 4364 / 43 20 kappa kappa 0.1 0.1 0.0 0.0 ± ± kappa kappa 0.1 0.1 0.0 0.0 ± ± beta2 beta2 1 1 ± ± 0.0 0.0 beta2 beta2 1 1 0.0 0.0 ± ± mean mean 4836 4836 1.7 1.7 ± ± mean mean 2.952 2.952 0.001 0.001 ± ± 10 15 sigma sigma 634.2 634.2 ± ± 1.2 1.2 sigma sigma 0.3316 0.3316 ± ± 0.0008 0.0008 Amp Amp Amp Amp 9.219e+04 9.219e+04 ± ± 1.979e+02 1.979e+02 6.149e+04 6.149e+04 1.359e+02 1.359e+02 ± ± 10 5 5 0 3 10 × 0 0 2 4 6 8 10 12 0 2 4 6 8 10 12 ADU/cm MeV/cm

  9. Calibration constants 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

Download Presentation
Download Policy: The content available on the website is offered to you 'AS IS' for your personal information and use only. It cannot be commercialized, licensed, or distributed on other websites without prior consent from the author. To download a presentation, simply click this link. If you encounter any difficulties during the download process, it's possible that the publisher has removed the file from their server.

Recommend


More recommend