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Detector Stability Analysis Using MoRI Data: Performance Monitoring and Quality Assurance

This presentation outlines the analysis of 188 preproduction tanks to monitor detector performance, focusing on key quantities such as anode and dynode baselines, VEM area, and dynode/anode ratios. The study examines the stability of these parameters over time and temperature variations, identifying peculiar behaviors and compliance with quality assurance specifications. Results indicate issues with some tanks, highlighting the impact of temperature on detector performance and the need for continuous monitoring and recalibration in detector systems.

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Detector Stability Analysis Using MoRI Data: Performance Monitoring and Quality Assurance

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  1. David Barnhill UCLA Detector Stability Analysis Using MoRI Data

  2. Motivation • Monitor detector performance of key quantities: • Anode and Dynode Baselines • VEM Area and Area/Peak • Dynode Anode ratio • Detect any peculiar behavior as a function of temperature and/or time • Check Quality Assurance specifications suggested in November meeting

  3. Method • We analyzed 188 preproduction tanks from January to February this year • We used LS Calibration Data (MoRI) • We analyzed RMS over this period for Anode and Dynode baselines and RMS/Mean for Dynode/Anode, VEM Area, and Area/Peak for each tank • We also looked at behavior over time and as a function of temperature • * In the next slides: • Then = September – October 2003 • Now = January – February 2004

  4. Then Now Typical Baselines vs. Time

  5. Then Anode Baseline RMS 3 out of spec – 2.2% Now 45 over 2 channel RMS 15 are due to pedestal readjustments 30 out of spec – 5.3%

  6. Then Dynode Baseline RMS 1 out of spec – 0.7% Now 32 over 2 channel RMS 8 are due to pedestal readjustments 24 out of spec – 4.3%

  7. Baseline RMS vs. Station ID Anode Dynode

  8. Baseline Problems All 6 channels => FE problems? (~10 tanks)

  9. Temperature Coefficients - Baselines Anode Then Now

  10. Temperature Coefficients - Baselines Dynode Then Now

  11. Typical LS VEM vs. Time and Temperature Then

  12. Typical LS VEM vs. Time and Temperature Now

  13. VEM Area vs. Station ID

  14. LS VEM Area Then 6 out of spec – 4.4% Now 29 over 5% 11 due to recalib. 18 out of spec – 3.2%

  15. Then Now Tank 205 (Mage) VEM Area PMT 1 seems to be decaying

  16. Temperature – LS VEM Area LS VEM Area Then Now

  17. Temperature Problem • As documented in Bugzilla: • http://bugzilla.auger.org.ar/ • There is a known problem with temperature causing jumps in certain quantities • Tanks 116, 147 and possible 158 and 167 • Problem is known, but cause and solution are unknown

  18. Then Now Tank 147 VEM Area

  19. Then Now Tank 116 VEM Area

  20. New Problems

  21. Then Now Typical LS VEM Area/Peak vs. Time

  22. Area/Peak vs. Station ID

  23. LS VEM Area/Peak Then All 3 PMTs in each tank affected 35 over 5% -> 6.2% 2 out of spec – 1.5% Now

  24. Temperature - LS VEM Area/Peak Then Now

  25. Then Now Typical Dynode/Anode Ratio

  26. Dynode/Anode vs. Station ID

  27. Then Dynode/Anode 7 out of spec -> 5.1% Now 8 out of spec -> 1.4%

  28. Dynode/Anode Problems

  29. Temperature – Dynode Anode Ratio Then Now

  30. Then Now Tank 128 (Vatly) Dynode/Anode No entries in bugzilla

  31. Then Now Dynode/Anode Spiky Behavior - Gone

  32. Quality Assurance Specifications THEN NOW

  33. Stability Conclusions • Pedestals: • All due to ~10 tanks with varying pedestals on all 6 channels • Area/Peak: • All 3 PMTs in a tank affected when one goes bad ~13 tanks • Statistics looks bad, but roughly divide 6.2% by 3 = ~2% problem • Dynode Anode ratio is more consistent and stable, 3 PMTs with bad D/A problem only • VEM Area • Temperature correlation issues ~7 PMTs • Other problems ~3 PMTs • Tanks with PMTs failing multiple specs: • 102, 193, 214, 262

  34. PE at 1st Dynode

  35. PE at 1st Dynode vs. Gain

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