sphenix tile updates: new tile tester results · mpv tile

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


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).


Before SiPM Correction■ Mean: 1

■ Standard Deviation ~10.1%

■ Excluded B32 tiles because they were mostly tiles not sent to us


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


>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


■ 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


>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.


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


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


B21

B22

B23

B24


>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


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


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



>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



>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



>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


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


New Tile Tester


• 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)


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


Chan_11_Soft_TriggerChan_31_Soft_Trigger


/ 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



Chan_31_Soft_TriggerChan_30_Soft_TriggerEntries 6179Mean 817.2Std Dev 360.9


0 500 1000 1500 2000 2500 30001

10

210





/ 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



Chan_29_Soft_Trigger



0 500 1000 1500 2000 2500 30001

10

210






0 500 1000 1500 2000 2500 30001

10

210



Chan_23_Soft_TriggerChan_22_Soft_TriggerEntries 6179Mean 726.9Std Dev 330.7


0 500 1000 1500 2000 2500 30001

10

210






0 500 1000 1500 2000 2500 30001

10

210

310 Chan_21_Soft_TriggerEntries 6179Mean 595Std Dev 294.5





0 500 1000 1500 2000 2500 30001

10

210






0 500 1000 1500 2000 2500 30001

10

210





/ 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






0 500 1000 1500 2000 2500 30001

10

210







0 500 1000 1500 2000 2500 30001

10

210






/ 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







0 500 1000 1500 2000 2500 30001

10

210






/ 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



/ 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







0 500 1000 1500 2000 2500 30001

10

210







0 500 1000 1500 2000 2500 30001

10

210







0 500 1000 1500 2000 2500 30001

10

210





Software cut

Data Pre-SiPM Correction – Test 1


■ 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


runningDistB21Uncal


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


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


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


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%)



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


runningDistB21Corr


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


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


B21

B22

B23

B24


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


B21

B22

B23

B24

Comparison to Previous Response Distribution■ Major outliers seem gone from new test stand

■ STD slightly better for new test stand



>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


runningDistglobalCorr


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


runningDistOld GSU Test Stand New BNL Test Stand


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


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%


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


runningDistNew Test Stand, No Reference Tile, Test 1globalUniCal


>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


runningDistUniplast Data, No Reference TileglobalUniCal


>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


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.


Landau Distributions – Test 2■ Higher average MPV, which means wider distributions, as shown before


Chan_11_Soft_TriggerEntries 14511Mean 2035Std Dev 688.7


0 500 1000 1500 2000 2500 3000 3500 40001

10

210






0 500 1000 1500 2000 2500 3000 3500 40001

10

210





/ 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


/ 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






0 500 1000 1500 2000 2500 3000 3500 40001

10

210






0 500 1000 1500 2000 2500 3000 3500 40001

10

210






0 500 1000 1500 2000 2500 3000 3500 40001

10

210






0 500 1000 1500 2000 2500 3000 3500 40001

10

210






0 500 1000 1500 2000 2500 3000 3500 40001

10

210






0 500 1000 1500 2000 2500 3000 3500 40001

10

210




Global Distribution Pre-Correction – Test 2■ Mean ~88%

■ Standard deviation ~13%



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


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


runningDistAll Tiles Tiles color-coded by angle


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


B21

B22

B23

B24

SiPM Correction – Test 2■ Correct each channel by factor of !

"#$%&'("#$)(*



>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


>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%



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


runningDistAll Tiles Tiles color-coded by angle


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



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



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



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



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


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


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?



>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



>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



>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



>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


Test 1

Back Up


No Reference vs. Reference■ Had to assume !

"#$%&'(/"#$*(+~ !

"#$%&'(/ "#$%(-%~1 due to time constraint.

■ This assumption is true.


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


runningDistglobalCorr


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


runningDistNo Reference Tile Reference Tile

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