OccupancyStudies2 (4) (PDF)

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.