47
First data quality check of 3x1x1 using LArSoft and QScan Christoph Alt, Kevin Fusshoeller, Andrea Scarpelli, Laura Zambelli
First data quality check of 3x1x1 using LArSoft and QScan
Christoph Alt, Kevin Fusshoeller, Andrea Scarpelli, Laura Zambelli
Summary of the data acquisitions
RUN Liquid above grid
FFS V Grid V LEM V down LEM V up PMT status PMT trigger
731 5 mm 5 kV 4 kV 3.0 kV1 0.2 kV on
732 5 mm 5 kV 4 kV 3.1 kV1 0.2 kV on
734 & 735 5.1 mm 5 kV 4 kV 3.1 kV1 0.2 kV on
739 9.4 mm 4.7 kV 3.7 kV 2.7 kV 0.2 kV on*
740 9.4 mm 4.7 kV 3.7 kV 2.7 kV 0.2 kV on
741 9.4mm 4.7 kV 3.7 kV 2.7 kV 0.2 kV off -
742 9.4 mm 4.9 kV 3.9 kV 2.8 kV 0.2 kV off -
743 9.4 mm 4.9 kV 3.9 kV 2.8 kV2 0.2 kV off -
744 9.4 mm 5 kV 4 kV 2.9 kV3 0.2 kV on
745 9.4 mm 5.1 kV 4.1 kV 2.9 kV3 0.2 kV on
746 9.4 mm 5.3 kV 4.2 kV 3.0 kV4 0.2 kV on
747 9.4 mm 5.3 kV 4.3 kV 3.0 kV4 0.2 kV on
748 9.4 mm 5.5 kV 4.5 kV 3.0 kV4 0.2 kV on
749 9.4 mm 4.9 kV 4.0 kV 3.0 kV 0.4 kV on
750 9.4 mm 4.9 kV 3.8 kV 3.1 kV 0.4 kV on
751 9.4 mm 4.1 kV 3.5 kV 2.9 kV5 0.2 kV Positive PMT off
*) Cameras were on 1) 2.6 kV on all LEM except 5, 6, 7, 8 2) 2.6 kV on LEM 10 3) 2.8 kV LEM 1, 3, 12 and 2.6 kV LEM 10 4) 2.8 kV on LEM 1, 3, 12 and 2.7 kV on LEM 10 5) 2.0 kV on LEM 10
Direct LArSoft / QScan comparisons
Time bin0 200 400 600 800 1000 1200 1400 1600
ADC
0
20
40
60
80
100
View 0 - Channel 0View 0 - Channel 0
0 200 400 600 800 1000 1200 1400 1600
QSc
an -
LArS
oft
2−
1.5−
1−
0.5−
0
0.5
1
1.5
2
LArSoftQscan -
Time bin0 200 400 600 800 1000 1200 1400 1600
ADC
0
20
40
60
80
100
120
140
View 0 - Channel 238View 0 - Channel 238
0 200 400 600 800 1000 1200 1400 1600
QSc
an -
LArS
oft
2−
1.5−
1−
0.5−
0
0.5
1
1.5
2
LArSoftQscan -
Time bin0 200 400 600 800 1000 1200 1400 1600
ADC
30
32
34
36
38
40
42
View 1 - Channel 800View 1 - Channel 800
0 200 400 600 800 1000 1200 1400 1600
QSc
an -
LArS
oft
2−
1.5−
1−
0.5−
0
0.5
1
1.5
2
LArSoftQscan -
Time bin0 200 400 600 800 1000 1200 1400 1600
ADC
0
10
20
30
40
50
60
70
View 1 - Channel 400View 1 - Channel 400
0 200 400 600 800 1000 1200 1400 1600
QSc
an -
LArS
oft
2−
1.5−
1−
0.5−
0
0.5
1
1.5
2
LArSoftQscan -
Raw waveforms of run 748, event 0
Direct LArSoft / QScan comparisons
Run 748, event 13
view 1
view 0
LarSoft Clustering output
Direct LArSoft / QScan comparisons
Run 748, event 13
QScan ClusFilter output
: Missing hits to fully reconstruct the track
red : found trackblue : hits associated to a trackblack : un-associated hits
Current Status in QScan
Status of the reconstruction in QScan
7
Hit Finding:
• Pedestals (mean, rms for each channel) taken from reference run (run 729)
• Problematic channels are masked
• Multi Hit algorithm used, threshold tuning was need (and could still be improved)
• FFT filtering could be foreseen as some specific frequencies noise can be seen
• Due to the noise, some hits are divided into multiple hits
• Due to the low gain, some of actual hits are not found and noise are considered as hits
Track finding:
• ClusFilter algorithm is used, with vertical track search enabled
• Parameter tuning was needed, as the default parameters was tuned from 6x6x6 simulation
→ Parameters used in the recotask datacard are given in the backup
3
1 2
4 7
5 6
8 11
9 10
12
3.0 kV
3.0 kV
3.0 kV
3.0 kV
3.0 kV
3.0 kV
3.0 kV
3.0 kV
2.8 kV
2.8 kV
2.7 kV
2.8 kV
LEM down voltages :
Example - run 748, event 366
Nice because crossing only one side of the detector and all view 1 :
Example - run 748, event 366 - view 0
View 0 : no problem View 1 : not all hits are found
red : found trackblue : hits associated to a trackblack : un-associated hits
In view 0, for this event, most of the hits along the track are found.The shape of the waveforms do not follow the expected attenuation trend due to the different LEM configurations
→At this moment, it is difficult to perform purity analysis, but it seems quite good
All waveforms (pedestal subtracted) LEM 1, 2, 5, 6, 9 or 10LEM 3, 4, 7, 8, 11 or 12
Example - run 748, event 366 - view 1 red : found trackblue : hits associated to a trackblack : un-associated hits
View 1 : not all hits are foundView 0 : no problem
Time bin0 200 400 600 800 1000 1200 1400 1600
ADC
10−
8−
6−
4−
2−
0
2
4
v1ch18_data_tbin
Time bin0 200 400 600 800 1000 1200 1400 1600
ADC
6−
4−
2−
0
2
4
6
v1ch22_data_tbin
Time bin0 200 400 600 800 1000 1200 1400 1600
ADC
15−
10−
5−
0
5
v1ch39_data_tbin
Time bin0 200 400 600 800 1000 1200 1400 1600
ADC
14−
12−
10−
8−
6−
4−
2−
0
2
4
6
8
v1ch63_data_tbin
??
Example - run 748, event 366 - view 1 red : found trackblue : hits associated to a trackblack : un-associated hits
LEM 1 or 3LEM 2 or 4LEM 5 or 7
LEM 6 or 8LEM 9 or 11LEM 10 or 12
All waveforms (pedestal subtracted)
Within a LEM, the response seems to be not uniform → could it be due to the LEM thickness ?
View 1 : not all hits are foundView 0 : no problem
Example - run 748, event 0
3
1 2
4 7
5 6
8 11
9 10
12
Other nice because it crosses only one side of the detector and part of view 1 :
3.0 kV
3.0 kV
3.0 kV
3.0 kV
3.0 kV
3.0 kV
3.0 kV
3.0 kV
2.8 kV
2.8 kV
2.7 kV
2.8 kV
LEM down voltages :
Example - run 748, event 0 - view 0
View 0 : no problem
View 1 : most of the hits are found !
red : found trackblue : hits associated to a trackblack : un-associated hits
In view 0, for this event, all the hits are found.But the shape of the waveforms do not follow the expected attenuation trend due to the different LEM configuration
→At this moment, it is difficult to perform purity analysis but it seems quite good
All waveforms (pedestal subtracted)LEM 1, 2, 5, 6, 9 or 10LEM 3, 4, 7, 8, 11 or 12
Example - run 748, event 0 - view 1
View 0 : no problem
red : found trackblue : hits associated to a trackblack : un-associated hits
LEM 1 or 3LEM 2 or 4LEM 5 or 7
LEM 6 or 8LEM 9 or 11LEM 10 or 12
All waveforms (pedestal subtracted)
Within a LEM, the response seems to be not uniform → could it be due to the LEM thickness ?
View 1 : most of the hits are found !
Example of the multi hit and noise problems
15
Time bin140 160 180 200 220 240 260 280 300 320 340
ADC
0
10
20
30
40
50
60
70
80v0ch232_data_tbin
gray : waveformblue : hits found
run 748, event 0Due to the fluctuations, multiple hits are found
↳ Must be improve either with noise filtering
or with better hit finding constraintsOne can also see the long tail of the hits due to the low extraction field.2 hits instead of 1
view 0 channel 232
Time bin50 100 150 200 250 300
ADC
0
10
20
30
40
50
60
70
80v0ch238_data_tbin
3 hits instead of 2
view 0 channel 238
Time bin350 400 450 500 550 600 650 700 750
ADC
4−
2−
0
2
4
6
8
10
12
14
v1ch316_data_tbin
3 hits instead of 1
(noise)
Some events with a lot of random tracks
16
In some events, more than 100 random tracks found in each views
run 750
Event 38
run 747
Event 12
Event display of those events
17
these events are very energetic, could be also some large cross talk
run 750
Event 38
run 747
Event 12
Looking at pulsing data (run 719)
18
pulsing SGFT 2 and 3 (view 1 channel 0 to 640) with 150 mV. Pulse maximum amplitude at ~ 800 ADC,
signal (cross talk) in view 0 at around ~450 ADC → consistent with the previous event display
Waveforms of run 751 event 58 (view 0)
19
Time [tdc]0 200 400 600 800 1000 1200 1400 1600
AD
C
0
100
200
300
400
500
600
700Event 58Event 58
Time [tdc]0 200 400 600 800 1000 1200 1400 1600
AD
C
0
50
100
150
200
250
300Event 58Event 58
channels 191 to 220
channels 221 to 240
All waveforms see some fluctuations at the same time, there is some noise that could be removed :
Looking at the waveforms of the 2 tracks in view 0 :
Noise Spectrum
20 freq (MHz)0 0.2 0.4 0.6 0.8 1 1.2
pow
er s
pect
rum
210
310
410run 729 (ref pedestal)
run 741 (pmt off)
run 748 (pmt on)
All channels together, seems that we are picking specific noise frequencies
150− 100− 50− 0 50 100 150
40−
20−
0
20
40
Run 743 - all tracks found superimposed
21
40− 20− 0 20 400
10
20
30
40
50
60
70
80
90
150− 100− 50− 0 50 100 1500
10
20
30
40
50
60
70
80
90
View 0 View 1
x [cm] y [cm]
D [c
m]
D [c
m]
x [c
m]
y [cm]
(removing highly energetic events)
Cathode : 36.0 kV, Grid : 3.9 kV, LEM Bottom ~ 2.8 kV Reconstructed tracks in view 0 are not uniformly distributedNo crossing muons reconstructed
3D matching tracks projected on x-y plane
200− 150− 100− 50− 0 50 100 150
40−
20−
0
20
40
Run 745 - all tracks found superimposed
22
40− 20− 0 20 400
20
40
60
80
150− 100− 50− 0 50 100 1500
20
40
60
80
View 0 View 1
x [cm] y [cm]
D [c
m]
D [c
m]
x [c
m]
y [cm]
Cathode : 38.0 kV, Grid : 4.1 kV, LEM Bottom ~ 2.9 kV
(removing highly energetic events)
3D matching tracks projected on x-y plane
150− 100− 50− 0 50 100 150
40−
20−
0
20
40
Run 747- all tracks found superimposed
23
40− 20− 0 20 400
20
40
60
80
150− 100− 50− 0 50 100 1500
20
40
60
80
View 0 View 1
x [cm] y [cm]
D [c
m]
D [c
m]
x [c
m]
y [cm]
Cathode : 39.0 kV, Grid : 4.3 kV, LEM Bottom ~ 3.0 kV
(removing highly energetic events)
3D matching tracks projected on x-y plane
150− 100− 50− 0 50 100 15060−
40−
20−
0
20
40
Run 748 - all tracks found superimposed
24
40− 20− 0 20 400
20
40
60
80
100
150− 100− 50− 0 50 100 1500
20
40
60
80
100View 0 View 1
x [cm] y [cm]
D [c
m]
D [c
m]
x [c
m]
y [cm]
3D matching tracks projected on x-y plane
Cathode : 41.0 kV, Grid : 4.5 kV, LEM B ~ 3.0 kV, LEM T 0.2 kVClosest to nominal configuration run
we can reconstruct much more crossing muons in view 1 !Only one crossing muon direction ?
Only a few crossing muons are 3D matched at the moment
(removing highly energetic events)
Track distorsion - run 748
25
event 42
event 366
Bending of track wrt a straight line could highlight space charge effect, although we have to be careful due to the grid voltage, LEM voltage and potential CRP deformation
LEM ID1 2 3 4 5 6 7 8 9 10 11 12
Fitt
ed M
PV o
f dQ
/ds [
fC/c
m]
0
2
4
6
8
10
12
14 View 0 View 1
run 748 dQ/ds
26
Y [cm]150− 100− 50− 0 50 100 150
X [c
m]
50−
0
50
fC/c
m
8
10
12
14
16
18
Sum of Tr. Mean dQ/ds (Both Views)
1
12
10
3
HV settings :LEM 1, 3 and 12 at 26 kV/cmLEM 10 at 25 kV/cmOther LEMs at 28 kV/cmGrid at 4.5 kVInduction at 1 kV/cm
- Lower gain in corners LEMs
- Higher gain for LEM 2, 4 and 11 - MPV dQ/ds in View 1 > View 0
↳differs from Slavic’s results
Events with more than 20 2D tracks reconstructed in either views are removed
N 2D Tracks per event0 10 20 30 40 50 600
20
40
60
80
100
120
LEM ID1 2 3 4 5 6 7 8 9 10 11 12
Fitt
ed M
PV o
f dQ
/ds [
fC/c
m]
0
2
4
6
8
10
12 View 0 View 1
run 766 dQ/ds [PMT trigger]
27
Y [cm]150− 100− 50− 0 50 100 150
X [c
m]
50−
0
50
fC/c
m
6
8
10
12
14
16
18
20
22
Sum of Tr. Mean dQ/ds (Both Views)
1
12
10
3
- Different gain pattern wrt to run 748- Tracks are different (PMT Trigger), they are more vertical and more energetic - Very preliminary result, as some fake 2D and 3D tracks might be found out of the energetic events
HV settings :LEM 1, 3, 10, 12 at 24 kV/cmOther LEMs at 28 kV/cmGrid at 4. kVInduction at 1. kV/cm
View 0 View 1
Events with more than 20 2D tracks reconstructed in either views are removed
150− 100− 50− 0 50 100 150 200
60−
40−
20−
0
20
40
60
80
100
x [c
m]
y [cm]
3D tracks
Drift Distance [cm]0 10 20 30 40 50 60 70 80 90 100
dQ
/ds [
fC/c
m]
0
50
100
run 766 dQ/ds [PMT trigger]
28
dQ/ds [fC/cm]0 10 20 30 40 50 60 70 80 90 1000
2
4
6
8
10
View 0 LEM 1trk3D_dqds_v0_LEM1Entries 128Mean 10.64RMS 12
/ ndf 2χ 28.03 / 37Width 1.079± 2.871 MP 43.7660± 0.5001 Area 14.82± 94.68 GSigma 8.2129± 0.9704
View 0 LEM 1
dQ/ds [fC/cm]0 10 20 30 40 50 60 70 80 90 1000
2
4
6
8
10
12
14
16
View 0 LEM 9trk3D_dqds_v0_LEM9Entries 313
Mean 14.82
RMS 17.09
/ ndf 2χ 59.12 / 67
Width 0.26± 2.26
MP 0.332± 4.716
Area 9.2± 135.2
GSigma 9.255764± 0.000131
View 0 LEM 9
dQ/ds [fC/cm]0 10 20 30 40 50 60 70 80 90 1000
5
10
15
20
25
View 0 LEM 4trk3D_dqds_v0_LEM4Entries 727
Mean 16.52
RMS 18.13
/ ndf 2χ 84.59 / 84
Width 0.174± 2.621
MP 0.238± 4.671
Area 13.6± 312.8
GSigma 6.963e+00±06 − 1.112e
View 0 LEM 4
dQ/ds [fC/cm]0 10 20 30 40 50 60 70 80 90 1000
2468
101214161820
View 1 LEM 1trk3D_dqds_v1_LEM1Entries 233Mean 10.98RMS 14.8
/ ndf 2χ 42.27 / 49Width 0.227± 1.239 MP 0.193± 2.819 Area 7.49± 98.33 GSigma 0.7610± 0.4739
View 1 LEM 1
dQ/ds [fC/cm]0 10 20 30 40 50 60 70 80 90 1000
5
10
15
20
25
30
35
View 1 LEM 7trk3D_dqds_v1_LEM7Entries 1282
Mean 17.51
RMS 17.54
/ ndf 2χ 140.4 / 92
Width 0.167± 3.389
MP 0.245± 6.169
Area 18.1± 546.6
GSigma 5.099e+00±10 − 8.188e
View 1 LEM 7
dQ/ds [fC/cm]0 10 20 30 40 50 60 70 80 90 1000
2
4
6
8
10
12
View 1 LEM 12trk3D_dqds_v1_LEM12Entries 112
Mean 6.122
RMS 6.616
/ ndf 2χ 27.63 / 26
Width 0.726± 1.791
MP 0.668± 1.999
Area 13.14± 57.42
GSigma 9.8569832± 0.0001179
View 1 LEM 12
some of the dQ/ds fits
Current Status in LArSoft
First try using LArSoft in the 3x1x1 configuration
• Data can be imported and converted to LArSoft friendly format.
• Standard LArSoft reconstruction is in place, alternative reconstruction tools for dual phase are under developments.
• Standard reconstruction can be run on real data: quality criteria must yet be defined. Gain and purity measurements requires ad-hoc tools not yet existing
• For this presentation, used LArSoft out the box without tuning reconstruction parameters • Deconvolution and "noise filtering" applied
Raw data event display from run 748 event 13
Raw data event display
view 1
view 0
Hit finding
Hits are found along the track direction even if in the raw data they weren’t evident
view 1
view 0
Hit finding – Issues
Some problematic points with the hit finding
view 1
view 0
Cluster finding
Cluster finding results is quite good, although missing splits tracks into several clusters
view 1
view 0
Raw hit finding
Raw hit finding works on non convoluted signals. • No noise filtering applied yet.• Cleaner wire signal.• No artifact from deconvolution.
• Key parameters to tune to avoidfitting noise hits:
• ADC count threshold.• ADC sum of hit.• Length of hit.More time still needed for tuning.
Æ Under development
Here threshold for fitting: 10 ADC counts.
view 1
view 0
Raw hit findingThreshold for fitting: 5 ADC counts.More noise is fitted but tuning of other parameters (see previous slide) and noise filteringshould get rid of this.
view 1
view 0
Plans
37
At the software level :-With the current high voltage settings, the main problem is the hit finding as the gain is low :
- Investigate the noise reduction- Could fitting hits help in Qscan ? (largely increase the reconstruction time)
-Investigate the highly energetic events in terms of cross talk
In QScan track finding code seems to be work fairly well. LArSoft reconstruction developments are on-going.3D matching needs a better track reconstruction, in particular at the start and ending points.
At the data level : • Take pulsing data to :
- try to better understand the cross talk- Intercalibrate each channels
• We can clearly see the effect in terms of track reconstruction of the grid & LEM increasing voltage
Backup
Parameters used for the reconstruction so far
39
in Qscan/WA105_rectasks.configHit Finding :
Track Finding :
3D matching :
Standard reconstruction in LArSoft
LArSoft module name Reconstruction task Used on real data
DataPrep Creation of calibrated signals on wires: • Pedestal subtraction* • Deconvolution • FFT and noise corrections …
Yes
Gaushit Standard hit finding fitting a gaussian function
Yes
Linecluster Clustering the hits in straight lines. Used as starting point for track reconstruction
Yes
Pmtrack 3D track reconstruction No
Blurred cluster and emshower Clustering to find 2D shower and 3D shower reconstruction
No
*Not yet done at this level currently, but something already exists, just need to put it in place
run 748 dQ/ds fits view 0
41
dQ/ds [fC/cm]0 10 20 30 40 50 60 70 80 90 1000
2
4
6
8
10
12
14
16
View 0 LEM 1trk3D_dqds_v0_LEM1Entries 210Mean 8.639RMS 8.248
/ ndf 2χ 34.9 / 38Width 0.2404± 0.7205 MP 0.280± 4.993 Area 7.41± 93.29 GSigma 0.311± 1.807
View 0 LEM 1
dQ/ds [fC/cm]0 10 20 30 40 50 60 70 80 90 1000
2
4
6
8
10
View 0 LEM 2trk3D_dqds_v0_LEM2Entries 207Mean 11.71RMS 6.675
/ ndf 2χ 33.15 / 50Width 0.903± 2.788 MP 0.535± 7.332 Area 9.9± 108.4 GSigma 2.05± 2.33
View 0 LEM 2
dQ/ds [fC/cm]0 10 20 30 40 50 60 70 80 90 1000
2
4
6
8
10
12
14
16
View 0 LEM 3trk3D_dqds_v0_LEM3Entries 186Mean 8.607RMS 8.778
/ ndf 2χ 24.1 / 41Width 0.186± 1.006 MP 0.17± 3.86 Area 6.94± 85.99 GSigma 0.4052± 0.6026
View 0 LEM 3
dQ/ds [fC/cm]0 10 20 30 40 50 60 70 80 90 1000
2
4
6
8
10
12
14
16
View 0 LEM 4trk3D_dqds_v0_LEM4Entries 359Mean 13.61RMS 11.42
/ ndf 2χ 65.17 / 66Width 0.4± 2.8 MP 0.417± 6.313 Area 10.6± 163.6 GSigma 1.609± 1.198
View 0 LEM 4
dQ/ds [fC/cm]0 10 20 30 40 50 60 70 80 90 1000
2468
1012141618202224
View 0 LEM 5trk3D_dqds_v0_LEM5Entries 298Mean 10.56RMS 7.203
/ ndf 2χ 56.44 / 56Width 0.320± 1.811 MP 0.275± 6.066 Area 9.0± 134.2 GSigma 0.607± 1.671
View 0 LEM 5
dQ/ds [fC/cm]0 10 20 30 40 50 60 70 80 90 1000
5
10
15
20
25
30
View 0 LEM 7trk3D_dqds_v0_LEM7Entries 536Mean 9.645RMS 7.896
/ ndf 2χ 42.26 / 53Width 0.151± 1.103 MP 0.183± 5.856 Area 12.1± 263 GSigma 0.28± 1.92
View 0 LEM 7
3
1 2
4 7
5 6
8 11
9 10
12
run 748 dQ/ds fits view 0
42
dQ/ds [fC/cm]0 10 20 30 40 50 60 70 80 90 1000
2468
1012141618202224
View 0 LEM 6trk3D_dqds_v0_LEM6Entries 416Mean 12.7RMS 13.14
/ ndf 2χ 70.8 / 63Width 0.281± 1.879 MP 0.253± 5.477 Area 10.4± 183 GSigma 0.776± 1.073
View 0 LEM 6
dQ/ds [fC/cm]0 10 20 30 40 50 60 70 80 90 1000
2
4
6
8
10
12
14
16
18
View 0 LEM 9trk3D_dqds_v0_LEM9Entries 327Mean 11.82RMS 8.214
/ ndf 2χ 40.83 / 56Width 0.409± 1.777 MP 0.365± 7.259 Area 10.6± 163.2 GSigma 0.586± 3.033
View 0 LEM 9
dQ/ds [fC/cm]0 10 20 30 40 50 60 70 80 90 1000
2468
1012141618202224
View 0 LEM 8trk3D_dqds_v0_LEM8Entries 373
Mean 11.82
RMS 10.51
/ ndf 2χ 48.28 / 61
Width 0.146± 1.982
MP 0.226± 5.696
Area 10.1± 176.4
GSigma 9.7703419± 0.0002977
View 0 LEM 8
dQ/ds [fC/cm]0 10 20 30 40 50 60 70 80 90 1000
2468
10121416182022
View 0 LEM 11trk3D_dqds_v0_LEM11Entries 407Mean 12.92RMS 9.286
/ ndf 2χ 52.28 / 65Width 0.327± 1.662 MP 0.320± 7.616 Area 10.9± 192.8 GSigma 0.50± 2.98
View 0 LEM 11
dQ/ds [fC/cm]0 10 20 30 40 50 60 70 80 90 1000
2
4
6
8
10
12
14
16
View 0 LEM 10trk3D_dqds_v0_LEM10Entries 206Mean 6.76RMS 5.028
/ ndf 2χ 26.88 / 35Width 0.2209± 0.7541 MP 0.290± 3.993 Area 7.64± 97.97 GSigma 0.346± 1.886
View 0 LEM 10
dQ/ds [fC/cm]0 10 20 30 40 50 60 70 80 90 1000
2
4
6
8
10
12
14
16
View 0 LEM 12trk3D_dqds_v0_LEM12Entries 111Mean 5.164RMS 7.177
/ ndf 2χ 11.6 / 22Width 0.2049± 0.7137 MP 0.155± 2.232 Area 5.64± 54.29 GSigma 0.5936± 0.3362
View 0 LEM 12
3
1 2
4 7
5 6
8 11
9 10
12
run 748 dQ/ds fits view 1
43
dQ/ds [fC/cm]0 10 20 30 40 50 60 70 80 90 1000
5
10
15
20
25
30
35
View 1 LEM 1trk3D_dqds_v1_LEM1Entries 304Mean 7.384RMS 5.079
/ ndf 2χ 39.46 / 36Width 0.1220± 0.9215 MP 0.125± 4.362 Area 8.9± 143 GSigma 0.2402± 0.6182
View 1 LEM 1
dQ/ds [fC/cm]0 10 20 30 40 50 60 70 80 90 1000
2468
1012141618202224
View 1 LEM 2trk3D_dqds_v1_LEM2Entries 327Mean 13.58RMS 10.41
/ ndf 2χ 52.91 / 60Width 0.332± 1.622 MP 0.30± 7.69 Area 9.3± 146.3 GSigma 0.497± 2.373
View 1 LEM 2
dQ/ds [fC/cm]0 10 20 30 40 50 60 70 80 90 1000
10
20
30
40
50
View 1 LEM 3trk3D_dqds_v1_LEM3Entries 432Mean 8.091RMS 7.041
/ ndf 2χ 44.87 / 51Width 0.1415± 0.9751 MP 0.146± 4.406 Area 10.9± 208.8 GSigma 0.229± 1.345
View 1 LEM 3
dQ/ds [fC/cm]0 10 20 30 40 50 60 70 80 90 1000
2468
1012141618202224
View 1 LEM 4trk3D_dqds_v1_LEM4Entries 621
Mean 18.55
RMS 15.87
/ ndf 2χ 79.56 / 86
Width 0.225± 3.254
MP 0.293± 7.823
Area 13.0± 285
GSigma 9.996e+00±05 − 9.007e
View 1 LEM 4
dQ/ds [fC/cm]0 10 20 30 40 50 60 70 80 90 1000
5
10
15
20
25
30
View 1 LEM 5trk3D_dqds_v1_LEM5Entries 542Mean 9.454RMS 6.36
/ ndf 2χ 50.94 / 59Width 0.20± 1.74 MP 0.217± 5.176 Area 12.4± 269.3 GSigma 0.578± 1.123
View 1 LEM 5
dQ/ds [fC/cm]0 10 20 30 40 50 60 70 80 90 1000
5
10
15
20
25
30
35
40
45
View 1 LEM 7trk3D_dqds_v1_LEM7Entries 910Mean 13.15RMS 10.69
/ ndf 2χ 81.4 / 78Width 0.152± 1.523 MP 0.180± 7.406 Area 15.4± 432.6 GSigma 0.328± 2.392
View 1 LEM 7
3
1 2
4 7
5 6
8 11
9 10
12
run 748 dQ/ds fits view 1
44
dQ/ds [fC/cm]0 10 20 30 40 50 60 70 80 90 1000
5
10
15
20
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30
View 1 LEM 6trk3D_dqds_v1_LEM6Entries 561Mean 12.82RMS 9.455
/ ndf 2χ 78.24 / 68Width 0.250± 1.543 MP 0.249± 7.578 Area 12.1± 256.1 GSigma 0.446± 2.025
View 1 LEM 6
dQ/ds [fC/cm]0 10 20 30 40 50 60 70 80 90 1000
5
10
15
20
25
30
35
40
45
View 1 LEM 9trk3D_dqds_v1_LEM9Entries 683Mean 12.52RMS 8.717
/ ndf 2χ 46.4 / 64Width 0.140± 1.608 MP 0.160± 7.669 Area 13.7± 337.9 GSigma 0.342± 1.237
View 1 LEM 9
dQ/ds [fC/cm]0 10 20 30 40 50 60 70 80 90 1000
5
10
15
20
25
30
View 1 LEM 8trk3D_dqds_v1_LEM8Entries 520Mean 13.23RMS 10.27
/ ndf 2χ 54.26 / 70Width 0.173± 1.574 MP 0.166± 7.694 Area 11.6± 245 GSigma 0.357± 1.227
View 1 LEM 8
dQ/ds [fC/cm]0 10 20 30 40 50 60 70 80 90 1000
5
10
15
20
25
30
View 1 LEM 11trk3D_dqds_v1_LEM11Entries 558Mean 16.19RMS 13.57
/ ndf 2χ 242 / 75Width 0.00923± 0.06154 MP 0.03± 13.66 Area 8.6± 146 GSigma 0.026± 3.214
View 1 LEM 11
dQ/ds [fC/cm]0 10 20 30 40 50 60 70 80 90 1000
5
10
15
20
25
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35
40
View 1 LEM 10trk3D_dqds_v1_LEM10Entries 494Mean 7.395RMS 7.384
/ ndf 2χ 34.79 / 45Width 0.11± 1.01 MP 0.123± 3.912 Area 11.7± 245.5 GSigma 0.2365± 0.7993
View 1 LEM 10
dQ/ds [fC/cm]0 10 20 30 40 50 60 70 80 90 1000
5
10
15
20
25
30
35
View 1 LEM 12trk3D_dqds_v1_LEM12Entries 336Mean 5.323RMS 3.659
/ ndf 2χ 17.11 / 28Width 0.1171± 0.6899 MP 0.13± 3.32 Area 9.8± 172.7 GSigma 0.2627± 0.8334
View 1 LEM 12
3
1 2
4 7
5 6
8 11
9 10
12
Example - run 748, event 42
3
1 2
4 7
5 6
8 11
9 10
12
Other nice because it crosses only one side of the detector and part of view 1 :
3.0 kV
3.0 kV
3.0 kV
3.0 kV
3.0 kV
3.0 kV
3.0 kV
3.0 kV
2.8 kV
2.8 kV
2.7 kV
2.8 kV
LEM down voltages :
Example - run 748, event 42 - view 0
View 0 : no problem View 1 : most of the hits are found !
red : found trackblue : hits associated to a trackblack : un-associated hits
In view 0, for this event, all the hits are found.But the shape of the waveforms do not follow the expected attenuation trend due to the different LEM configuration
→At this moment, it is difficult to perform purity analysis
All waveforms (pedestal subtracted)LEM 1, 2, 5, 6, 9 or 10LEM 3, 4, 7, 8, 11 or 12
Example - run 748, event 42 - view 1 red : found trackblue : hits associated to a trackblack : un-associated hits
LEM 1 or 3LEM 2 or 4LEM 5 or 7
LEM 6 or 8LEM 9 or 11LEM 10 or 12
All waveforms (pedestal subtracted)
Within a LEM, the response seems to be not uniform → could it be due to the LEM thickness ? we can clearly see the difference in voltages applied in LEM 3 and 12 wrt to the others
View 0 : no problem View 1 : most of the hits are found !
