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Detector Stability Analysis Using MoRI Data David Barnhill UCLA.

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Detector Stability Analysis Using MoRI Data David Barnhill UCLA
Transcript

Detector Stability Analysis Using MoRI Data

David Barnhill

UCLA

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

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

Typical Baselines vs. Time

Then Now

Anode Baseline RMS

Then

Now45 over 2 channel RMS

15 are due to pedestal readjustments

30 out of spec – 5.3%

3 out of spec – 2.2%

Dynode Baseline RMS

Then

Now

32 over 2 channel RMS

8 are due to pedestal readjustments

24 out of spec – 4.3%

1 out of spec – 0.7%

Baseline RMS vs. Station IDAnode

Dynode

Baseline Problems

All 6 channels => FE problems? (~10 tanks)

Temperature Coefficients - Baselines

AnodeThen

Now

Temperature Coefficients - BaselinesDynode

Now

Then

Typical LS VEM vs. Time and TemperatureThen

Typical LS VEM vs. Time and TemperatureNow

VEM Area vs. Station ID

LS VEM AreaThen

Now

29 over 5%

11 due to recalib.

18 out of spec – 3.2%

6 out of spec – 4.4%

Tank 205 (Mage) VEM Area

PMT 1 seems to be decaying

Then Now

Temperature – LS VEM Area

LS VEM AreaThen

Now

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

Tank 147 VEM Area

Then Now

Tank 116 VEM Area

Then Now

New Problems

Typical LS VEM Area/Peak vs. Time

Then Now

Area/Peak vs. Station ID

LS VEM Area/PeakThen

Now

All 3 PMTs in each tank affected

35 over 5% -> 6.2%

2 out of spec – 1.5%

Temperature - LS VEM Area/Peak

Then

Now

Typical Dynode/Anode Ratio

Then Now

Dynode/Anode vs. Station ID

Dynode/AnodeThen

Now

8 out of spec -> 1.4%

7 out of spec -> 5.1%

Dynode/Anode Problems

Temperature – Dynode Anode Ratio

Then

Now

Tank 128 (Vatly) Dynode/Anode

No entries in bugzilla

Then Now

Dynode/Anode Spiky Behavior - Gone

Then Now

Quality Assurance Specifications

Specification No. PMTs Failed % of Total PMTsDynode Baseline < 2 channel RMS 30 5.32Anode Baseline < 2 channel RMS 24 4.26VEM Area < 5% RMS/Mean 18 3.19Area/Peak < 5% RMS/Mean 35 6.21Dynode/Anode < 6% RMS/Mean 8 1.42

NOW

Specification No. PMTs Failed % of Total PMTsDynode Baseline < 2 channel RMS 1 0.72Anode Baseline < 2 channel RMS 3 2.17VEM Area < 5% RMS/Mean 6 4.35Area/Peak < 5% RMS/Mean 2 1.45Dynode/Anode < 6% RMS/Mean 7 5.07

THEN

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

PE at 1st Dynode

PE at 1st Dynode vs. Gain


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