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OccupancyStudies2 (4) .pdf



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Title: OccupancyStudies2

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Strips Occupancies Studies
Alan Taylor

1

Introduction


Previously showed strips occupancies for the Inclined Barrel 4.0 layout
using a minimum bias sample.



These studies were inconsistent (~factor of 5) different with the LoI layout
results shown previously.



It was suggested that the sample I was looking at only had clusters
associated with tracks rather than all clusters in the event. This was the
case.



Analysis performed using InDetUpgradePerformanceAnalysis package.
This package is written for D3PDs. I have started to rewrite some of it for
xAOD and for the new geometries.



Results are scaled to <mu> = 200.



Use phi asymmetry and refer to modules with etaModuleID

Min bias sample
Previously used sample mc15_14TeV.



119995.Pythia8_A2MSTW2008LO_minbias_inelastic_low.recon.DAOD_IDTRKVALID.e1133_s
2846_s2850_r7878 — Inclined Barrel 4.0, Min bias <mu> = 0. Step 1.0.


The DAOD_IDTRKVALID format only stores hits associated to tracks and
not all hits. Uses InDetDxAOD.py —> ThinHitsOnTrack() function.



Produced 10k private sample using the RDO that was used to produce the
sample I was using previously.



Add flags:










InDetDxAODFlags.ThinHitsOnTrack.set_Value_and_Lock(False);InDetDxAODFlags.ThinTrack
Selection.set_Value_and_Lock(\”InDetTrackParticles.pt > 0.0*GeV\")" 


Check against D3PD


D3PD MC events used previously: root://eosatlas//eos/atlas/atlascerngroupdisk/det-slhc/group.detslhc.mc12_14TeV.119995.Pythia8_A2MSTW2008LO_minbias_inelastic_low.ESD.D3PD.
010300.clus.v3.121118122427_EXT2/group.det-slhc.160522_001749.EXT2._00001.D3PD.root

h_nClusters
Entries
1000
Mean
412.5
RMS
286.4

80
70

Entries / 20

Number of SCT clusters in each event is shown below. Top left (D3PD), top right (xAOD,
thinned) and bottom (xAOD, Unthinned)
h_nSCTClusters
Entries
5000
Mean
74.1
RMS
96.03

1800
1600
1400

60

1200

50

1000

40

800
600

30

400

20

200
10
0
0

0
0
100

200

300

400

500

600

700

Entries / 20

Entries / 20



800

450

100 200 300 400 500 600 700 800 900 1000

900
1000
nClusters

Number of SCT Clusters in event
h_nSCTClusters
Entries
5000
Mean
362.6
RMS
271.1

400
350
300
250
200
150
100
50
0
0

100 200 300 400 500 600 700 800 900 1000
Number of SCT Clusters in event

Check against D3PD


D3PD MC events used previously: root://eosatlas//eos/atlas/atlascerngroupdisk/det-slhc/group.detslhc.mc12_14TeV.119995.Pythia8_A2MSTW2008LO_minbias_inelastic_low.ESD.D3PD.
010300.clus.v3.121118122427_EXT2/group.det-slhc.160522_001749.EXT2._00001.D3PD.root

Number of SCT hits (using cluster size) in each event is shown below. Top left (D3PD), top
right (xAOD, thinned) and bottom (xAOD, Unthinned)
h_nSCTHits
Entries
1000
Mean
1596
RMS
1293

100

80

Entries / 100

# number of SCT hits
h_nSCTHits
Entries
5000
Mean
129.1
RMS
205.3

3500
3000
2500
2000

60

1500
40

1000
500

20

0
0
0
0

500

1000

1500

2000

2500

3000

Entries / 100

Entries / 100



3500

500

4000

500 1000 1500 2000 2500 3000 3500 4000 4500 5000

4500
5000
number of hits

Number of SCT Hits in event
h_nSCTHits
Entries
5000
Mean
1262
RMS
1124

400
300
200
100
0
0

500 1000 1500 2000 2500 3000 3500 4000 4500 5000
Number of SCT Hits in event

SCT Barrel Occupancy
Occupancies are calculated as N hits / N readout channels, averaged over
10,000 events and over phi.
Number of hits



Occupancy =

1.4

Channel Occupancy in %

Occupancies are calculated as N hits / N readout channels, averaged over
10,000 events and over phi.



Channel Occupancy in %

Number of readout channels

Layer 0
Layer 1
Layer 2
Layer 3

1.2
1
0.8

1.4
1.2
1
0.8

0.6

0.6

0.4

0.4

−1000

−500

0

500

1000
z [mm]

Layer 0
Layer 1
Layer 2
Layer 3

−60

−40

−20

0

20

40

60

etaModuleID

SCT Disk Occupancy


Occupancies are calculated as N hits / N readout channels, averaged over
10,000 events and over phi.
Number of hits
Occupancy =

Occupancy vs r. Each point is referenced by etaModuleID in xAOD. Left/
Right denotes the two end caps.

2

Channel Occupancy in %

Channel Occupancy in %



Number of readout channels

Disk 0(L)
Disk 1(L)
Disk 2(L)
Disk 3(L)
Disk 4(L)
Disk 5(L)

1.8
1.6
1.4
1.2
1

2

1.6
1.4
1.2
1

0.8

0.8

0.6

0.6

0.4

0.4
400

500

600

700

800

900
r [mm]

Disk 0(R)
Disk 1(R)
Disk 2(R)
Disk 3(R)
Disk 4(R)
Disk 5(R)

1.8

400

500

600

700

800

900
r [mm]

r [mm]

Comparison against LoI Occupancy


2D Occupancy Map for SCT Barrel + Disks.



On left, each bin is labelled by Layer/Disk + etaModuleID.



On right, each bin is for sensor.

1100

1.6

1000

1.4

900

1.2

800

1

700

0.8

600

0.6
0.4

500

0.2

400
−3000 −2000 −1000

0

1000

2000

3000

z [mm]

0

Conclusions


Resolved issue with sample being used. Can we get these samples made
centrally? Both for minimum bias (mu = 0) and ttbar (mu = 200).



Even if it is just a 5k sample for ttbar (mu = 200).



To do : resolve, increase in occupancy with respect to LoI.



Will extend average occupancies to pixels also (for all layouts) and then
look at maximum occupancies expected. 




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