PMT Testing
description
Transcript of PMT Testing
24-06-2004 Bernard JEAN-MARIE Pmt Group Meeting 1
PMT Testing
Selection based on 4 criteria Ecal/ Hcal selection based on 2 criteria
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Remarks
Need to make a selection “on the fly “ to equipped Hcal and Ecal modules Need to define criteria such that no pmts are left behind. All the pmts must be used
(except for the spare ones obviously). But all the pmts are within the specifications. Need to define common rules accepted by everybody to dispatch them between
ECAL/HCAL and inside ECAL or HCAL? Which criteria?
Ecal/ Hcal major requirements are perfectly compatible.• For Ecal Low quantum efficiency, highest voltage for a given gain.• For Hcal High quantum efficiency, lowest voltage for a given gain.
Should we include Linearity and Stability: not obvious Two examples:
A global one based on 4 probabilities call G0, Green, Linearity and Stability. A simpler one based on G0 and Grenn only to separate between Ecal and Hcal.
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Selection based on 4 probabilities
Use Hamamatsu Datasheets for 4050 pmts presently delivered Method: build a probability to sort the best for inner Ecal.
G0: ABS((G0-G0min)/(G0
max-G0min)-1)
g: ABS((-min)/(max-min)-1)
Lin: ((ABS(Lin)/2)*(-1)) +1 @ 104
Stab: ((ABS(Stab)/2)*(-1)) +1 @5.104
Global probability = P(G0) x P(g) x P(Lin) x P(Stab) There is the possibility to introduce a weight between the 4 components
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PMT Selection (2)
G0- HV
0
2
4
6
8
10
12
850 900 950 1000 1050 1100 1150 1200 1250
HV at 5.104
G0
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Probability distribution
Repartition between ECAL / HCAL Ecal 6016 pmts 0,804 Hcal 1468 pmts 0.196
Repartition inside ECAL Inner 1536 0.205 Middle 1792 0.239 Outer 2638 0.358
Cut on probability: Hcal 0 to 0.09 Ecal Outer 0.09 to
0.185 Ecal Middle 0.185 to 0.280 Ecal Outer 0.280 to
Max
Probability Distribution
0
50
100
150
200
250
300
350
0,0 0,1 0,1 0,2 0,2 0,3 0,4 0,4 0,5 0,5 0,6 0,7Probability
Num
ber
of
pmts
Hamamatsu Data for all Delivered PMTs
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Cumulative Probability distribution
Cumulative pmt proba
0,00
20,00
40,00
60,00
80,00
100,00
0,00 0,10 0,20 0,30 0,40 0,50 0,60Selection Probability
Nb
in %
Hamamatsu Data for all Delivered PMTs Hamamatsu Data for all Delivered PMTs
HCAL ECAL
OUTER MIDDLE INNER
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Result of selection with 4 criteria
Best for Ecal inner is well selected Due to the method, distributions on parameters are smooth. No clear cut
between categories Hcal criteria are not fully met Its ok for dispatching pmts inside Ecal
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Result of selection with 4 criteria
Proba- G0
Hcal Hcal
Outer Outer
Middle Middle
Inner Inner
0,0
0,1
0,2
0,3
0,4
0,5
0,6
0,7
1 3 5 7 9 11G0
Prob
a
Hamamatsu Data for all Delivered PMTs
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Result of selection with 4 criteria
Proba- Luminous index
Hcal Hcal
Outer Outer
Middle Middle
Inner Inner
0,0
0,1
0,2
0,3
0,4
0,5
0,6
0,7
12 13 14 15 16 17 18 19 20Cathode Green Luminous I ndex
Prob
a
Hamamatsu Data for all Delivered PMTs
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Result of selection with 4 criteria
Proba- Linearity
Hcal Hcal
Outer Outer
Middle Middle
Inner Inner
0,0
0,1
0,2
0,3
0,4
0,5
0,6
0,7
0,8
-2,0 -1,5 -1,0 -0,5 0,0 0,5 1,0 1,5 2,0Linearity
Prob
a
Hamamatsu Data for all Delivered PMTs
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Result of selection with 4 criteria
Proba / Gain Stability
Hcal Hcal
Outer Outer
Middle Middle
Inner Inner
0,0
0,1
0,2
0,3
0,4
0,5
0,6
0,7
0,8
-2,00 -1,50 -1,00 -0,50 0,00 0,50 1,00 1,50 2,00Gain Stability
Prob
a
Hamamatsu Data for all Delivered PMTs
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Result of selection with 4 criteria
Linearity
0
10
20
30
40
50
60
70
80
90
100
110
120
130
-2,00 -1,00 0,00 1,00 2,00 Linearity
Nb
Hcal
Ecal Inner
Ecal Outer
Cathode Green Luminous index
0
10
20
30
40
50
60
70
80
90
100
110
120
130
12,00 14,00 16,00 18,00 20,00Cathode Green
Nb
Hcal
Ecal Inner
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Result of selection with 4 criteria
Selected G0
0
10
20
30
40
50
60
70
80
90
100
110
120
1,00 3,00 5,00 7,00 9,00 11,00 G0
Nb
Hcal
Ecal Inner
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Selection based on 4 probabilities
Use Hamamatsu Datasheets for 4050 pmts presently delivered Method: build a probability to sort the best for inner Ecal.
G0: ABS((G0-G0min)/(G0
max-G0min)-1)
g: ABS((-min)/(max-min)-1)
Global probability = P(G0) x P(g)
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PMT Selection Based on 2 criteria (2)
G0-Luminous index Correlation
0
2
4
6
8
10
12
10 12 14 16 18 20Cathode Blue Luminous Index
G0
ECAL HCAL
HCAL
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Result of selection with 2 criteria
Probability Distribution
0
50
100
150
200
250
300
0,0 0,1 0,1 0,2 0,2 0,3 0,4 0,4 0,5 0,5 0,6 0,7Probability
Num
ber
of
pmts
Hamamatsu Data for all Delivered PMTs
Cumulative pmt proba
0
20
40
60
80
100
0,0 0,1 0,2 0,3 0,4 0,5 0,6Selection Probability
Nb
in %
Hamamatsu Data for all Delivered PMTs Hamamatsu Data for all Delivered PMTs
HCAL ECAL
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Result of selection with 2 criteria
Proba- Luminous index
Hcal Hcal
0,0
0,1
0,2
0,3
0,4
0,5
0,6
0,7
12 13 14 15 16 17 18 19 20Cathode Green Luminous I ndex
Prob
a
Hamamatsu Data for all Delivered PMTs
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Result of selection with 2 criteria
Proba- G0
Hcal Hcal
0,0
0,1
0,2
0,3
0,4
0,5
0,6
0,7
1 3 5 7 9 11G0
Prob
a
Hamamatsu Data for all Delivered PMTs
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PMT Selection (2)
Linearity at 1.10**4
-2,0
-1,6
-1,2
-0,8
-0,4
0,0
0,4
0,8
1,2
1,6
2,0
0 500 1000 1500 2000 2500Pmt Number
%
Inner ECAL
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Result of selection with 2 criteria
Selected G0
0
50
100
150
200
250
300
350
400
1,00 3,00 5,00 7,00 9,00 11,00 G0
Nb
Hcal
Ecal
Selected G0
0
50
100
150
200
250
300
350
400
1,00 3,00 5,00 7,00 9,00 11,00 G0
Nb
Hcal
Ecal Inner
Ecal
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Result of selection with 2 criteria
Green Luminous index
0
50
100
150
200
250
300
350
400
450
12,00 14,00 16,00 18,00 20,00Green
Nb
Hcal
Ecal
Cathode Green Luminous index
0
50
100
150
200
250
300
350
400
450
12,00 14,00 16,00 18,00 20,00Cathode Green
Nb
Hcal
Ecal Inner
Ecal