sphenix tile updates: new tile tester results · mpv tile
TRANSCRIPT
sPHENIX Tile Updates: New Tile Tester Results
Anthony Hodges
Recap From Last Time ■ Reported to HCal working group first batch of tiles had mean response ~1 with a std
~20%, with 66% of tiles being within ±20% for old test stand
■ This conflicts with Edward’s reports of a std ~9% from Uniplast’s data
2/20/19 Anthony Hodges 2
globalCorrEntries 184Mean 1.014Std Dev 0.1987
>Test/<MPVTileMPV0 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 1.8 20
2
4
6
8
10
12
globalCorrEntries 184Mean 1.014Std Dev 0.1987
runningDist
STD ~20%STD ~9%
GSU Old Test StandUniplast Data
Done by Edward
New Analysis of Uniplast Data
■ Caveats:– Uniplast double tested some tiles (unsure of extent)– Some tiles were tested that were not sent to us (yet) (10.5% of test sample)– 2 “bad” tiles were sent to us
■ Our tests (2 different setups) found 1 (other still needs to be tested)■ “Bad” tile found to have similar performance ratio in both tests
– Data comes from December 15th - December 25th
■ Method:– Take Uniplast data– Filter according to John H.’s method– Correct for SiPM bias– Plot !"#$%&'/⟨!"#$'*+⟩ (no reference tile in Uniplast data).
2/18/19 Anthony Hodges 3
Before SiPM Correction■ Mean: 1
■ Standard Deviation ~10.1%
■ Excluded B32 tiles because they were mostly tiles not sent to us
2/20/19 Anthony Hodges 4
globalUniEntries 200Mean 1Std Dev 0.1061
>Test/<MPVTileMPV0 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 1.8 20
2
4
6
8
10
12
14
16
18
20globalUni
Entries 200Mean 1Std Dev 0.1061
runningDistB21Uncal
Entries 60Mean 1Std Dev 0.0938
>Test/<MPVTileMPV0 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 1.8 20
1
2
3
4
5
6
7
8
9
10 B21UncalEntries 60Mean 1Std Dev 0.0938
B21B22B23B24
Uniplast Data Uniplast Data – Broken Down By Tile Angle
SiPM Correction
2/18/19 Anthony Hodges 5
■ Correct by factor of !"#$%&'(/⟨"#$%(+,⟩
for each channel
SiPM Position Number0 1 2 3 4 5 6 7 8 9
>Te
st/<
MPV
Tile
MPV
0.6
0.7
0.8
0.9
1
1.1
1.2
B21B22
B23
B24
Correction Factor applied
SiPM Position Number0 1 2 3 4 5 6 7 8 9
>Te
st/<
MPV
Tile
MPV
0.4
0.5
0.6
0.7
0.8
0.9
1
1.1
1.2
1.3
1.4
B21B22B23B24
Corrected Distributions■ Mean still ~1
■ Standard deviation ~14, not ~9% as reported by Edward earlier.
■ Closer to what GSU tests have reported
■ Most likely cause is looking at more statistics.
2/19/19 Anthony Hodges 6
globalUniCalEntries 200Mean 1.006Std Dev 0.1391
>Test/<MPVTileMPV0 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 1.8 20
2
4
6
8
10
12
14
globalUniCalEntries 200Mean 1.006Std Dev 0.1391
runningDistB21Cal
Entries 60Mean 1.005Std Dev 0.1178
0 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 1.8 20
1
2
3
4
5
6
7B21Cal
Entries 60Mean 1.005Std Dev 0.1178
B21
B22
B23
B24
globalUniCalEntries 200Mean 1.006Std Dev 0.1391
>Test/<MPVTileMPV0 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 1.8 20
2
4
6
8
10
12
14
globalUniCalEntries 200Mean 1.006Std Dev 0.1391
runningDist
Broken Down by Tile Angle■ Tile performance
appears to be dependent on eta angle
■ Appears to getworse as you go out away from mid rapidity
– Need to analyze more data to confirm
2/18/19 Anthony Hodges 7
B21CalEntries 60Mean 1.004Std Dev 0.1176
>Test/<MPVTileMPV0 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 1.8 20
1
2
3
4
5
6
7
B21CalEntries 60Mean 1.004Std Dev 0.1176
B22CalEntries 50Mean 1.008Std Dev 0.1264
>Test/<MPVTileMPV0 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 1.8 20
1
2
3
4
5
B22CalEntries 50Mean 1.008Std Dev 0.1264
B23CalEntries 50Mean 1.006Std Dev 0.1538
>Test/<MPVTileMPV0 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 1.8 20
1
2
3
4
5
6B23Cal
Entries 50Mean 1.006Std Dev 0.1538
B24CalEntries 40Mean 1.008Std Dev 0.1605
>Test/<MPVTileMPV0 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 1.8 20
0.5
1
1.5
2
2.5
3
3.5
4B24Cal
Entries 40Mean 1.008Std Dev 0.1605
New Tile Tester
■ New and improved tile tester arrived last week
■ More robust than previous setup
■ SiPM holders fit new light blockers
■ Include Omega thermocouple relay– Software needs installing
■ Priority is to run all tiles through new test stand– Need concrete way to quantify tile performance
■ Performed two tests thus far:– Test 1: Use two channels as triggers, top and bottom– Test 2: Use each pair of channels as triggers (standard CAEN running configuration)
■ Want to establish which tests are going to give us reliable information
2/14/19 Anthony Hodges 8
New Tile Tester
2/14/19 Anthony Hodges 9
• Sturdy base
• New SiPM holders fitsnugly to tiles
• Omega thermocouple relay included
Cosmic Signals – Test 1■ Much improved over previous signals.
■ Hardwired coincidence on channels 10&11 (in square)
■ Some junk still winds up in pedestal region, minor software cut cleans that up (~3% of events)
2/14/19 Anthony Hodges 10
Chan_11_Soft_TriggerEntries 6179Mean 873.9Std Dev 296.5
/ ndf 2c 383.8 / 165Constant 18.5± 978 MPV 2.2± 692.6 Sigma 1.08± 74.73
0 500 1000 1500 2000 2500 30001
10
210
310 Chan_11_Soft_TriggerEntries 6179Mean 873.9Std Dev 296.5
/ ndf 2c 383.8 / 165Constant 18.5± 978 MPV 2.2± 692.6 Sigma 1.08± 74.73
Chan_11_Soft_TriggerChan_31_Soft_Trigger
Entries 6179Mean 838.1Std Dev 365.4
/ ndf 2c 511.1 / 195Constant 14.0± 694.3 MPV 3.3± 620.3 Sigma 1.7± 104
0 500 1000 1500 2000 2500 30001
10
210
310 Chan_31_Soft_TriggerEntries 6179Mean 838.1Std Dev 365.4
/ ndf 2c 511.1 / 195Constant 14.0± 694.3 MPV 3.3± 620.3 Sigma 1.7± 104
Chan_31_Soft_TriggerChan_30_Soft_TriggerEntries 6179Mean 817.2Std Dev 360.9
/ ndf 2c 461.7 / 193Constant 14.0± 721 MPV 3.1± 596.3 Sigma 1.5± 100.8
0 500 1000 1500 2000 2500 30001
10
210
310 Chan_30_Soft_TriggerEntries 6179Mean 817.2Std Dev 360.9
/ ndf 2c 461.7 / 193Constant 14.0± 721 MPV 3.1± 596.3 Sigma 1.5± 100.8
Chan_30_Soft_TriggerChan_29_Soft_Trigger
Entries 6179Mean 881.2Std Dev 386.7
/ ndf 2c 428.9 / 205Constant 13.1± 664.5 MPV 3.3± 644.5 Sigma 1.7± 109.9
0 500 1000 1500 2000 2500 30001
10
210
310 Chan_29_Soft_TriggerEntries 6179Mean 881.2Std Dev 386.7
/ ndf 2c 428.9 / 205Constant 13.1± 664.5 MPV 3.3± 644.5 Sigma 1.7± 109.9
Chan_29_Soft_Trigger
Chan_28_Soft_TriggerEntries 6179Mean 843.9Std Dev 373.9
/ ndf 2c 513.2 / 199Constant 14.3± 710.3 MPV 3.1± 615.9 Sigma 1.6± 101.2
0 500 1000 1500 2000 2500 30001
10
210
310 Chan_28_Soft_TriggerEntries 6179Mean 843.9Std Dev 373.9
/ ndf 2c 513.2 / 199Constant 14.3± 710.3 MPV 3.1± 615.9 Sigma 1.6± 101.2
Chan_28_Soft_TriggerChan_23_Soft_Trigger
Entries 6179Mean 831.5Std Dev 379.7
/ ndf 2c 446.2 / 191Constant 13.9± 695.7 MPV 3.1± 603.2 Sigma 1.7± 105
0 500 1000 1500 2000 2500 30001
10
210
310 Chan_23_Soft_TriggerEntries 6179Mean 831.5Std Dev 379.7
/ ndf 2c 446.2 / 191Constant 13.9± 695.7 MPV 3.1± 603.2 Sigma 1.7± 105
Chan_23_Soft_TriggerChan_22_Soft_TriggerEntries 6179Mean 726.9Std Dev 330.7
/ ndf 2c 413.6 / 179Constant 15.6± 810.9 MPV 2.7± 526.3 Sigma 1.3± 90.2
0 500 1000 1500 2000 2500 30001
10
210
310 Chan_22_Soft_TriggerEntries 6179Mean 726.9Std Dev 330.7
/ ndf 2c 413.6 / 179Constant 15.6± 810.9 MPV 2.7± 526.3 Sigma 1.3± 90.2
Chan_22_Soft_TriggerChan_21_Soft_Trigger
Entries 6179Mean 595Std Dev 294.5
/ ndf 2c 435.6 / 162Constant 18.7± 1012 MPV 2.2± 415.1 Sigma 1.00± 71.45
0 500 1000 1500 2000 2500 30001
10
210
310 Chan_21_Soft_TriggerEntries 6179Mean 595Std Dev 294.5
/ ndf 2c 435.6 / 162Constant 18.7± 1012 MPV 2.2± 415.1 Sigma 1.00± 71.45
Chan_21_Soft_Trigger
Chan_20_Soft_TriggerEntries 6179Mean 793.9Std Dev 368.4
/ ndf 2c 417.6 / 196Constant 14.4± 730.4 MPV 3.0± 571.3 Sigma 1.57± 99.93
0 500 1000 1500 2000 2500 30001
10
210
310 Chan_20_Soft_TriggerEntries 6179Mean 793.9Std Dev 368.4
/ ndf 2c 417.6 / 196Constant 14.4± 730.4 MPV 3.0± 571.3 Sigma 1.57± 99.93
Chan_20_Soft_TriggerChan_10_Soft_Trigger
Entries 6179Mean 958Std Dev 378.4
/ ndf 2c 191.8 / 186Constant 16.4± 846.3 MPV 2.5± 730.5 Sigma 1.35± 88.71
0 500 1000 1500 2000 2500 30001
10
210
310 Chan_10_Soft_TriggerEntries 6179Mean 958Std Dev 378.4
/ ndf 2c 191.8 / 186Constant 16.4± 846.3 MPV 2.5± 730.5 Sigma 1.35± 88.71
Chan_10_Soft_Trigger
Chan_11_Soft_TriggerEntries 6410Mean 872.8Std Dev 298.1
/ ndf 2c 397.4 / 166Constant 19.1± 1022 MPV 2.2± 692 Sigma 1.1± 74.1
0 500 1000 1500 2000 2500 30001
10
210
310 Chan_11_Soft_Trigger
Entries 6410Mean 872.8Std Dev 298.1
/ ndf 2c 397.4 / 166Constant 19.1± 1022 MPV 2.2± 692 Sigma 1.1± 74.1
Chan_11_Soft_TriggerChan_31_Soft_Trigger
Entries 6410Mean 832.2Std Dev 366.6
/ ndf 2c 529.8 / 206Constant 14.2± 721.4 MPV 3.2± 615.9 Sigma 1.7± 103.7
0 500 1000 1500 2000 2500 30001
10
210
310 Chan_31_Soft_Trigger
Entries 6410Mean 832.2Std Dev 366.6
/ ndf 2c 529.8 / 206Constant 14.2± 721.4 MPV 3.2± 615.9 Sigma 1.7± 103.7
Chan_31_Soft_TriggerChan_30_Soft_Trigger
Entries 6410Mean 809.2Std Dev 360.9
/ ndf 2c 517.1 / 204Constant 14.5± 755 MPV 3.0± 590.5 Sigma 1.48± 98.97
0 500 1000 1500 2000 2500 30001
10
210
310 Chan_30_Soft_Trigger
Entries 6410Mean 809.2Std Dev 360.9
/ ndf 2c 517.1 / 204Constant 14.5± 755 MPV 3.0± 590.5 Sigma 1.48± 98.97
Chan_30_Soft_TriggerChan_29_Soft_Trigger
Entries 6410Mean 872.4Std Dev 386.8
/ ndf 2c 465.5 / 213Constant 13.4± 693.3 MPV 3.2± 639 Sigma 1.7± 108.8
0 500 1000 1500 2000 2500 30001
10
210
310 Chan_29_Soft_Trigger
Entries 6410Mean 872.4Std Dev 386.8
/ ndf 2c 465.5 / 213Constant 13.4± 693.3 MPV 3.2± 639 Sigma 1.7± 108.8
Chan_29_Soft_Trigger
Chan_28_Soft_TriggerEntries 6410Mean 836.3Std Dev 374.7
/ ndf 2c 530.5 / 210Constant 14.6± 741.8 MPV 3.0± 612.3 Sigma 1.6± 100.5
0 500 1000 1500 2000 2500 30001
10
210
310 Chan_28_Soft_Trigger
Entries 6410Mean 836.3Std Dev 374.7
/ ndf 2c 530.5 / 210Constant 14.6± 741.8 MPV 3.0± 612.3 Sigma 1.6± 100.5
Chan_28_Soft_TriggerChan_23_Soft_Trigger
Entries 6410Mean 823.6Std Dev 380.3
/ ndf 2c 482 / 207Constant 14.2± 724.3 MPV 3.1± 597.7 Sigma 1.7± 104.2
0 500 1000 1500 2000 2500 30001
10
210
310 Chan_23_Soft_Trigger
Entries 6410Mean 823.6Std Dev 380.3
/ ndf 2c 482 / 207Constant 14.2± 724.3 MPV 3.1± 597.7 Sigma 1.7± 104.2
Chan_23_Soft_TriggerChan_22_Soft_Trigger
Entries 6410Mean 719.2Std Dev 331.4
/ ndf 2c 467.3 / 192Constant 16.1± 846.5 MPV 2.6± 520.7 Sigma 1.31± 88.88
0 500 1000 1500 2000 2500 30001
10
210
310 Chan_22_Soft_Trigger
Entries 6410Mean 719.2Std Dev 331.4
/ ndf 2c 467.3 / 192Constant 16.1± 846.5 MPV 2.6± 520.7 Sigma 1.31± 88.88
Chan_22_Soft_TriggerChan_21_Soft_Trigger
Entries 6410Mean 584.1Std Dev 297.1
/ ndf 2c 505.8 / 174Constant 18.6± 973.5 MPV 2.3± 405.2 Sigma 1.13± 76.42
0 500 1000 1500 2000 2500 30001
10
210
310 Chan_21_Soft_Trigger
Entries 6410Mean 584.1Std Dev 297.1
/ ndf 2c 505.8 / 174Constant 18.6± 973.5 MPV 2.3± 405.2 Sigma 1.13± 76.42
Chan_21_Soft_Trigger
Chan_20_Soft_TriggerEntries 6410Mean 785.9Std Dev 367.1
/ ndf 2c 441.4 / 204Constant 14.9± 764.8 MPV 2.9± 565.6 Sigma 1.53± 98.79
0 500 1000 1500 2000 2500 30001
10
210
310 Chan_20_Soft_Trigger
Entries 6410Mean 785.9Std Dev 367.1
/ ndf 2c 441.4 / 204Constant 14.9± 764.8 MPV 2.9± 565.6 Sigma 1.53± 98.79
Chan_20_Soft_TriggerChan_10_Soft_Trigger
Entries 6410Mean 953.7Std Dev 376.1
/ ndf 2c 201.9 / 186Constant 16.9± 887.7 MPV 2.4± 728 Sigma 1.32± 87.63
0 500 1000 1500 2000 2500 30001
10
210
310 Chan_10_Soft_Trigger
Entries 6410Mean 953.7Std Dev 376.1
/ ndf 2c 201.9 / 186Constant 16.9± 887.7 MPV 2.4± 728 Sigma 1.32± 87.63
Chan_10_Soft_Trigger
Software cut
Data Pre-SiPM Correction – Test 1
2/20/19 Anthony Hodges 11
■ Distribution width larger than what Uniplast data reports (~14%)
■ No SiPM calibration yet
■ Done with reference tile
globalEntries 153Mean 0.9183Std Dev 0.1529
0 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 1.8 20
2
4
6
8
10
12global
Entries 153Mean 0.9183Std Dev 0.1529
runningDistB21Uncal
Entries 36Mean 0.9174Std Dev 0.1028
Ref/MPVTileMPV0 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 1.8 20
1
2
3
4
5
6
7
8
9
10 B21UncalEntries 36Mean 0.9174Std Dev 0.1028
B21
B22
B23
B24
B21UnCalEntries 27Mean 0.9595Std Dev 0.1527
0 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 1.8 20
1
2
3
4
5
6
7
8
9 B21UnCalEntries 27Mean 0.9595Std Dev 0.1527
B21
B22
B23
B24
B21UncalEntries 36Mean 0.9174Std Dev 0.1028
Ref/MPVTileMPV0 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 1.8 20
1
2
3
4
5
6
7
8
9
10 B21UncalEntries 36Mean 0.9174Std Dev 0.1028
B21
B22
B23
B24
New Test Stand Data New Test Stand Data
SiPM Calibration – Test 1■ Plot tile response ("#$%&'("#$)(*
) as a function of SiPM number
– Both reference and test tiles fit snuggly into SiPM holder, hence no "#$)(*"#$%(,%
term
■ SiPM Correction is close to 1 on most channels
■ Calculate -./0%&'(./0)(*
correction factor for each channel
2/20/19 Anthony Hodges 12
0 1 2 3 4 5 6 7 8 90
0.2
0.4
0.6
0.8
1
1.2
1.4
1.6
1.8
2B21
B22
B23
B24
0 1 2 3 4 5 6 7 8 90
0.2
0.4
0.6
0.8
1
1.2
1.4
1.6
1.8
2B21B22B23B24
1234567823498:
SiPM Position Number SiPM Position Number
MPV >?@A/MPV
CAD
MPV >?@A/MPV
CAD
SiPM Calibration – Test 1■ Variances are tighter with better SiPM Holder/Light blocker fit
– Tiles are held against SiPM holder and held in alignment by magnets
■ However, there appears to be a trigger bias– I.e. position 9’s variance is lower because it’s a trigger pair with channel 0
■ Additionally, appear that each tile type will need its own correction
2/20/19 Anthony Hodges 13
0 1 2 3 4 5 6 7 8 90
0.2
0.4
0.6
0.8
1
1.2
1.4
1.6
1.8
2B21
B22
B23
B24
0 1 2 3 4 5 6 7 8 90
0.2
0.4
0.6
0.8
1
1.2
1.4
1.6
1.8
2B21B22B23B24
1"#$%&'("#$)(*
SiPM Position Number SiPM Position Number
MPV ./01/MPV
314
MPV ./01/MPV
314
Corrected Distributions – Test 1 ■ Still peaked close to 1, std ~17% (vs 20% for old GSU test stand).
■ 70% of tiles fall within ±20% now (gained back ~3%)
2/20/19 Anthony Hodges 14
globalCorrEntries 153Mean 0.9891Std Dev 0.1667
0 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 1.8 20
2
4
6
8
10
12globalCorr
Entries 153Mean 0.9891Std Dev 0.1667
runningDistB21Corr
Entries 27Mean 1.031Std Dev 0.169
0 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 1.8 20
1
2
3
4
5
6
7
8
9 B21CorrEntries 27Mean 1.031Std Dev 0.169
B21B22
B23
B24
B21UncalEntries 36Mean 0.9174Std Dev 0.1028
Ref/MPVTileMPV0 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 1.8 20
1
2
3
4
5
6
7
8
9
10 B21UncalEntries 36Mean 0.9174Std Dev 0.1028
B21
B22
B23
B24
B21UncalEntries 36Mean 0.9174Std Dev 0.1028
Ref/MPVTileMPV0 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 1.8 20
1
2
3
4
5
6
7
8
9
10 B21UncalEntries 36Mean 0.9174Std Dev 0.1028
B21
B22
B23
B24
Comparison to Previous Response Distribution■ Major outliers seem gone from new test stand
■ STD slightly better for new test stand
2/20/19 Anthony Hodges 15
globalCorrEntries 184Mean 1.014Std Dev 0.1987
>Test/<MPVTileMPV0 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 1.8 20
2
4
6
8
10
12
globalCorrEntries 184Mean 1.014Std Dev 0.1987
runningDistglobalCorr
Entries 153Mean 0.9891Std Dev 0.1667
0 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 1.8 20
2
4
6
8
10
12globalCorr
Entries 153Mean 0.9891Std Dev 0.1667
runningDistOld GSU Test Stand New BNL Test Stand
B21UncalEntries 36Mean 0.9174Std Dev 0.1028
Ref/MPVTileMPV0 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 1.8 20
1
2
3
4
5
6
7
8
9
10 B21UncalEntries 36Mean 0.9174Std Dev 0.1028
B21
B22
B23
B24
Comparison to Corrected Uniplast Data■ Uniplast data contains no reference tile
■ Re-ran analysis excluding the reference tile
■ Interestingly, excluding the reference tile (plotting !"#$%&'!"#$'($) yields similar results to
our data, Both std dev and mean differ by <1%
2/19/19 Anthony Hodges 16
globalAveTestEntries 153Mean 0.9862Std Dev 0.1679
0 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 1.8 20
2
4
6
8
10
12globalAveTest
Entries 153Mean 0.9862Std Dev 0.1679
runningDistNew Test Stand, No Reference Tile, Test 1globalUniCal
Entries 200Mean 1.006Std Dev 0.1391
>Test/<MPVTileMPV0 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 1.8 20
2
4
6
8
10
12
14
globalUniCalEntries 200Mean 1.006Std Dev 0.1391
runningDistUniplast Data, No Reference TileglobalUniCal
Entries 200Mean 1.006Std Dev 0.1391
>Test/<MPVTileMPV0 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 1.8 20
2
4
6
8
10
12
14
globalUniCalEntries 200Mean 1.006Std Dev 0.1391
runningDist
Replicating Uniplast Trigger System –Test 2
■ Using the “pair-wise trigger” system should clean up trigger bias– Each pair of channels is a trigger, and any time a pair sees an event, all other
pairs take data – Software cut requires coincidence of all channels
■ Also gives another way to crosscheck Uniplast data– Can also hone in on better running conditions for Uniplast
■ Reference tile in use.
2/19/19 Anthony Hodges 17
Landau Distributions – Test 2■ Higher average MPV, which means wider distributions, as shown before
2/19/19 Anthony Hodges 18
Chan_11_Soft_TriggerEntries 14511Mean 2035Std Dev 688.7
/ ndf 2c 646.5 / 218Constant 9.4± 727.3 MPV 6.4± 1663 Sigma 4.3± 353.6
0 500 1000 1500 2000 2500 3000 3500 40001
10
210
310 Chan_11_Soft_TriggerEntries 14511Mean 2035Std Dev 688.7
/ ndf 2c 646.5 / 218Constant 9.4± 727.3 MPV 6.4± 1663 Sigma 4.3± 353.6
Chan_11_Soft_TriggerChan_31_Soft_Trigger
Entries 14511Mean 2026Std Dev 702.3
/ ndf 2c 422.9 / 216Constant 8.9± 735.4 MPV 6.4± 1642 Sigma 3.9± 350.6
0 500 1000 1500 2000 2500 3000 3500 40001
10
210
310 Chan_31_Soft_TriggerEntries 14511Mean 2026Std Dev 702.3
/ ndf 2c 422.9 / 216Constant 8.9± 735.4 MPV 6.4± 1642 Sigma 3.9± 350.6
Chan_31_Soft_TriggerChan_30_Soft_Trigger
Entries 14511Mean 1894Std Dev 648.9
/ ndf 2c 336 / 202Constant 11.3± 950.3 MPV 4.8± 1499 Sigma 2.6± 261.8
0 500 1000 1500 2000 2500 3000 3500 40001
10
210
310 Chan_30_Soft_TriggerEntries 14511Mean 1894Std Dev 648.9
/ ndf 2c 336 / 202Constant 11.3± 950.3 MPV 4.8± 1499 Sigma 2.6± 261.8
Chan_30_Soft_TriggerChan_29_Soft_Trigger
Entries 14511Mean 2013Std Dev 710.2
/ ndf 2c 347.7 / 215Constant 9.0± 736.8 MPV 6.5± 1619 Sigma 3.9± 349.7
0 500 1000 1500 2000 2500 3000 3500 40001
10
210
310 Chan_29_Soft_TriggerEntries 14511Mean 2013Std Dev 710.2
/ ndf 2c 347.7 / 215Constant 9.0± 736.8 MPV 6.5± 1619 Sigma 3.9± 349.7
Chan_29_Soft_Trigger
Chan_28_Soft_TriggerEntries 14511Mean 1763Std Dev 681.8
/ ndf 2c 500.4 / 218Constant 10.8± 866.7 MPV 5.2± 1356 Sigma 3.1± 286.3
0 500 1000 1500 2000 2500 3000 3500 40001
10
210
310 Chan_28_Soft_TriggerEntries 14511Mean 1763Std Dev 681.8
/ ndf 2c 500.4 / 218Constant 10.8± 866.7 MPV 5.2± 1356 Sigma 3.1± 286.3
Chan_28_Soft_TriggerChan_23_Soft_Trigger
Entries 14511Mean 1978Std Dev 709.5
/ ndf 2c 385.5 / 215Constant 9.4± 749.1 MPV 6.2± 1579 Sigma 3.9± 341.5
0 500 1000 1500 2000 2500 3000 3500 40001
10
210
310 Chan_23_Soft_TriggerEntries 14511Mean 1978Std Dev 709.5
/ ndf 2c 385.5 / 215Constant 9.4± 749.1 MPV 6.2± 1579 Sigma 3.9± 341.5
Chan_23_Soft_TriggerChan_22_Soft_Trigger
Entries 14511Mean 2008Std Dev 696.7
/ ndf 2c 366.8 / 216Constant 9.5± 766 MPV 6.1± 1617 Sigma 3.7± 330.8
0 500 1000 1500 2000 2500 3000 3500 40001
10
210
310 Chan_22_Soft_TriggerEntries 14511Mean 2008Std Dev 696.7
/ ndf 2c 366.8 / 216Constant 9.5± 766 MPV 6.1± 1617 Sigma 3.7± 330.8
Chan_22_Soft_TriggerChan_21_Soft_Trigger
Entries 14511Mean 1924Std Dev 712.2
/ ndf 2c 339.3 / 218Constant 9.6± 774 MPV 6.0± 1517 Sigma 3.7± 327.7
0 500 1000 1500 2000 2500 3000 3500 40001
10
210
310 Chan_21_Soft_TriggerEntries 14511Mean 1924Std Dev 712.2
/ ndf 2c 339.3 / 218Constant 9.6± 774 MPV 6.0± 1517 Sigma 3.7± 327.7
Chan_21_Soft_Trigger
Chan_20_Soft_TriggerEntries 14511Mean 1950Std Dev 710.4
/ ndf 2c 349.5 / 217Constant 9.5± 759.4 MPV 6.2± 1547 Sigma 3.8± 335.1
0 500 1000 1500 2000 2500 3000 3500 40001
10
210
310 Chan_20_Soft_TriggerEntries 14511Mean 1950Std Dev 710.4
/ ndf 2c 349.5 / 217Constant 9.5± 759.4 MPV 6.2± 1547 Sigma 3.8± 335.1
Chan_20_Soft_TriggerChan_10_Soft_Trigger
Entries 14511Mean 1989Std Dev 690.8
/ ndf 2c 206.3 / 200Constant 10.3± 852.7 MPV 5.6± 1580 Sigma 3.0± 291.8
0 500 1000 1500 2000 2500 3000 3500 40001
10
210
310 Chan_10_Soft_TriggerEntries 14511Mean 1989Std Dev 690.8
/ ndf 2c 206.3 / 200Constant 10.3± 852.7 MPV 5.6± 1580 Sigma 3.0± 291.8
Chan_10_Soft_Trigger
Global Distribution Pre-Correction – Test 2■ Mean ~88%
■ Standard deviation ~13%
2/20/19 Anthony Hodges 19
B21UncalEntries 36Mean 0.9174Std Dev 0.1028
Ref/MPVTileMPV0 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 1.8 20
1
2
3
4
5
6
7
8
9
10 B21UncalEntries 36Mean 0.9174Std Dev 0.1028
B21
B22
B23
B24
globalUncalEntries 135Mean 0.8814Std Dev 0.1333
>Test/<MPVTileMPV0 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 1.8 20
2
4
6
8
10
12
14globalUncal
Entries 135Mean 0.8814Std Dev 0.1333
runningDistAll Tiles Tiles color-coded by angle
B21UncalEntries 36Mean 0.9174Std Dev 0.1028
Ref/MPVTileMPV0 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 1.8 20
1
2
3
4
5
6
7
8
9
10 B21UncalEntries 36Mean 0.9174Std Dev 0.1028
B21
B22
B23
B24
SiPM Correction – Test 2■ Correct each channel by factor of !
"#$%&'("#$)(*
2/20/19 Anthony Hodges 20
SiPM Position Number0 1 2 3 4 5 6 7 8 9
>Te
st/<
MPV
Tile
MPV
0
0.2
0.4
0.6
0.8
1
1.2
1.4
1.6
1.8
2B21
B22
B23B24
Uncorrected
SiPM Position Number0 1 2 3 4 5 6 7 8 9
>Te
st/<
MPV
Tile
MPV
0
0.2
0.4
0.6
0.8
1
1.2
1.4
1.6
1.8
2B21
B22
B23B241
,-./012,-.324
Corrected
MPV 89:;/MPV
=;>
MPV 89:;/MPV
=;>
Corrected Distributions – Test 2■ Mean shifted to ~1
■ Standard deviation ~16%, in line with previous test
■ 72.6% of tiles fall within ±20%
2/20/19 Anthony Hodges 21
B21CalEntries 36Mean 1.046Std Dev 0.1286
Ref/MPVTileMPV0 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 1.8 20
1
2
3
4
5
6
7 B21CalEntries 36Mean 1.046Std Dev 0.1286
B21
B22
B23
B24
globalCalEntries 135Mean 1.004Std Dev 0.1569
>Test/<MPVTileMPV0 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 1.8 20
1
2
3
4
5
6
7
8
9globalCal
Entries 135Mean 1.004Std Dev 0.1569
runningDistAll Tiles Tiles color-coded by angle
B21CalEntries 36Mean 1.046Std Dev 0.1286
Ref/MPVTileMPV0 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 1.8 20
1
2
3
4
5
6
7 B21CalEntries 36Mean 1.046Std Dev 0.1286
B21
B22
B23
B24
Corrected Distributions – Test 2■ Need to test more B24
tiles
■ No more clear trend in standard deviation with tile angle
2/20/19 Anthony Hodges 22
B21CalEntries 36Mean 1.046Std Dev 0.1299
Ref/MPVTileMPV
0 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 1.8 20
0.5
1
1.5
2
2.5
3
3.5
4
B21CalEntries 36Mean 1.046Std Dev 0.1299
B22CalEntries 45Mean 1.112Std Dev 0.1299
Ref/MPVTileMPV
0 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 1.8 20
1
2
3
4
5B22Cal
Entries 45Mean 1.112Std Dev 0.1299
B23CalEntries 45Mean 0.8753Std Dev 0.106
Ref/MPVTileMPV
0 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 1.8 20
1
2
3
4
5B23Cal
Entries 45Mean 0.8753Std Dev 0.106
B24CalEntries 9Mean 0.95Std Dev 0.1083
Ref/MPVTileMPV
0 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 1.8 20
0.2
0.4
0.6
0.8
1
1.2
1.4
1.6
1.8
2
B24CalEntries 9Mean 0.95Std Dev 0.1083
Conclusions, Proposals, To-Do, Questions
■ Proposal: use test 1 setup in future testing (two reference tiles for all testing)– Part 2: designate another tile to be a second reference tile– Performance ratio then becomes !"#_%&'(/⟨!"#+,-.⟩– Also will begin creating SiPM correction factors for each tile angle.
■ Do one last pass through of all tiles (should be done by next week), checkmeasurement tolerances, apply barcodes, and ship back to BNL.
■ Planning trip to Russia in May
2/19/19 Anthony Hodges 23
Conclusions, Proposals, To-Do, Questions■ Q: How far can we go to correct
outliers?■ Want to group tiles such that the
tower deviation is minimal
■ Say you group tiles in grey square together
■ This determines our “go/no go” cut off.
■ Ship tower-ready tiles to BNL■ Should remaining tiles wait at GSU, or
be shipped to BNL?
2/20/19 Anthony Hodges 24
B21CalEntries 60Mean 1.004Std Dev 0.1176
>Test/<MPVTileMPV0 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 1.8 20
1
2
3
4
5
6
7
B21CalEntries 60Mean 1.004Std Dev 0.1176
B22CalEntries 50Mean 1.008Std Dev 0.1264
>Test/<MPVTileMPV0 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 1.8 20
1
2
3
4
5
B22CalEntries 50Mean 1.008Std Dev 0.1264
B23CalEntries 50Mean 1.006Std Dev 0.1538
>Test/<MPVTileMPV0 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 1.8 20
1
2
3
4
5
6B23Cal
Entries 50Mean 1.006Std Dev 0.1538
B24CalEntries 40Mean 1.008Std Dev 0.1605
>Test/<MPVTileMPV0 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 1.8 20
0.5
1
1.5
2
2.5
3
3.5
4B24Cal
Entries 40Mean 1.008Std Dev 0.1605
Test 1
Back Up
2/15/19 Anthony Hodges 25
No Reference vs. Reference■ Had to assume !
"#$%&'(/"#$*(+~ !
"#$%&'(/ "#$%(-%~1 due to time constraint.
■ This assumption is true.
2/15/19 Anthony Hodges 26
globalAveTestEntries 153Mean 0.9862Std Dev 0.1679
0 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 1.8 20
2
4
6
8
10
12globalAveTest
Entries 153Mean 0.9862Std Dev 0.1679
runningDistglobalCorr
Entries 153Mean 0.9891Std Dev 0.1667
0 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 1.8 20
2
4
6
8
10
12globalCorr
Entries 153Mean 0.9891Std Dev 0.1667
runningDistNo Reference Tile Reference Tile