Simulation of the ILD TPC with pixel readout Kees Ligtenberg LCTPC - - PowerPoint PPT Presentation

simulation of the ild tpc with pixel readout
SMART_READER_LITE
LIVE PREVIEW

Simulation of the ILD TPC with pixel readout Kees Ligtenberg LCTPC - - PowerPoint PPT Presentation

Simulation of the ILD TPC with pixel readout Kees Ligtenberg LCTPC Collaboration meeting January 14, 2020 Kees Ligtenberg (Nikhef) Pixel TPC simulation January 14, 2020 1 / 12 Introduction In order to study the tracking performance of a


slide-1
SLIDE 1

Simulation of the ILD TPC with pixel readout

Kees Ligtenberg

LCTPC Collaboration meeting

January 14, 2020

Kees Ligtenberg (Nikhef) Pixel TPC simulation January 14, 2020 1 / 12

slide-2
SLIDE 2

Introduction

In order to study the tracking performance of a large pixelised TPC, the pixel readout was imple- mented in the full ILD DD4HEP (Geant4) simu- lation Pixel readout simulation was build upon the pad readout simulation in ILCSoft version 02-01

Tiling of the ILD TPC with a quad module

Outline

Summary of pad and pixel TPC simulations (see also last year’s presentation) Changes since last year

Kees Ligtenberg (Nikhef) Pixel TPC simulation January 14, 2020 2 / 12

slide-3
SLIDE 3

Simulation of pad hits compared to pixel hits

6 mm 55 µm 990 µm 18 rows Pad hits Pixel hits 6 mm × 1 mm 55 µm × 55 µm Exactly one hit per layer Multiple or no hits per layer 22 electrons per hit 1 electron per hit Only diffusion in rφ and z Diffusion in x, y and z ∼200 hits per track ∼10 000 hits per track

Kees Ligtenberg (Nikhef) Pixel TPC simulation January 14, 2020 3 / 12

slide-4
SLIDE 4

Diffusion and hit resolution for pads and pixels

As found in the latest code of DDTPCDigiProcessor

Diffusion and hit resolution are simulated by smearing the hits by the expected resolution

σpads

=

  • σ2

rφ0 + σ2 φ0 sin2(φpad) +

D2

NEff sin(θpad) 6 mm hpad 4.0 T B 2 L σpixels

=

  • σ2

rφ0 + D2 rφ

4.0 T B 2 L σz =

  • σ2

z0 + D2 z L

, Pads Pixels σrφ0 0.05 mm 0.016 mm σz0 0.4 mm 0.17 mm σφ0 0.9 mm Drφ 0.025 mm/√cm 0.025 mm/√cm Dz 0.08 mm/√cm 0.226 mm/√cm NEff 22

Kees Ligtenberg (Nikhef) Pixel TPC simulation January 14, 2020 4 / 12

slide-5
SLIDE 5

Tiling of ILD end plate with GridPix quads

Kees Ligtenberg (Nikhef) Pixel TPC simulation January 14, 2020 5 / 12

slide-6
SLIDE 6

ILD end plate mask in simulation

Kees Ligtenberg (Nikhef) Pixel TPC simulation January 14, 2020 6 / 12

slide-7
SLIDE 7

Delta hit removal

Before removal

Remove hits if local density is more than 100 per 1.52mm2 Track digitisation with delta electron

Kees Ligtenberg (Nikhef) Pixel TPC simulation January 14, 2020 7 / 12

slide-8
SLIDE 8

Delta hit removal

After removal

Remove hits if local density is more than 100 per 1.52mm2 Track reconstruction without delta electron

Kees Ligtenberg (Nikhef) Pixel TPC simulation January 14, 2020 8 / 12

slide-9
SLIDE 9

Momentum resolution of the TPC with delta removal and coverage

For low momentum tracks performance of pads and pixels is similar, because the resolution is limited by multiple scattering For high momentum tracks pixels are ∼ 20% better

]

  • 1

[GeV

1/PT

σ

5 −

10

4 −

10

3 −

10

2 −

10 Momentum [GeV] 10 20 30 40 50 Ratio 0.5 1 1.5

Pads Pixels (without deltas) Pixels

Simulated muons at φ = 0.01 and θ = 85° with coverage mask

Kees Ligtenberg (Nikhef) Pixel TPC simulation January 14, 2020 9 / 12

slide-10
SLIDE 10

Tracking with silicon

Full ILD tracking with the TPC and silicon detectors is functional Pixel and pad performance is similar

P (GeV) 1 10

2

10 )

  • 1

(GeV

T

1/p

σ

5 −

10

4 −

10

3 −

10

2 −

10

1 −

10

Pixels

  • = 10

θ Pixels

  • = 20

θ Pixels

  • = 40

θ Pixels

  • = 85

θ Pads

  • = 10

θ Pads

  • = 20

θ Pads

  • = 40

θ Pads

  • = 85

θ

Momentum Resolution

Momentum resolution of muons without delta electrons

Kees Ligtenberg (Nikhef) Pixel TPC simulation January 14, 2020 10 / 12

slide-11
SLIDE 11

Tracking efficiency in a t¯ t event

Pads Pixels High momentum tracking is efficient for pixels The efficiency of low momentum tracks is under investigation

Kees Ligtenberg (Nikhef) Pixel TPC simulation January 14, 2020 11 / 12

slide-12
SLIDE 12

Conclusions

A full pixel simulation for the ILD TPC is implemented Work on the pixel TPC simulation has progressed A coverage mask was implemented A simple delta electron removal algorithm was added Tracking in combination with the silicon detectors is being developed

Kees Ligtenberg (Nikhef) Pixel TPC simulation January 14, 2020 12 / 12

slide-13
SLIDE 13

Backup

Kees Ligtenberg (Nikhef) Pixel TPC simulation January 14, 2020 13 / 12

slide-14
SLIDE 14

Seed finding for pixel TPC

Pad seed finding is not suitable for a pixel TPC because the nearest neighbour clustering algorithm scales as O(N2) Instead, perform clustering by φ (Hough-transform like) Fill histogram of hits by φ in pad row range of 750 pixel rows Maximum bin is cluster with track candidate if more than 200 hits construct a straight line from the detector center to the average position Cut hits on distance from this line (10mm in rφ and 3mm rz) initialise track fit with this line Tracks are found and fitted by extending seeds inwards using a Kalman filter, which has been adapted for pixels (see last year’s presentation)

Kees Ligtenberg (Nikhef) Pixel TPC simulation January 14, 2020 14 / 12

slide-15
SLIDE 15

Tracking at a uniform angle

]

  • 1

[GeV

1/PT

σ

5 −

10

4 −

10

3 −

10

2 −

10 Momentum [GeV] 10 20 30 40 50 Ratio 0.5 1 1.5

Pads Pixels (without deltas) ) φ Pixels (Uniform

Kees Ligtenberg (Nikhef) Pixel TPC simulation January 14, 2020 15 / 12

slide-16
SLIDE 16

Simulation of pad TPC

6 mm Detector is described by DD4HEP geometry Pads have have inter-module gaps in the radial direction Geant4 processes interactions of particle(s) from gun or event Single hit in TPC is deposited if energy is above threshold (32eV) in a single pad. Position of pad centre crossing is recorded Diffusion and hit resolution is simulated by smearing the hits by the expected resolution in rφ and z directions Tracks are found and fitted by extending seeds inwards using a Kalman filter

Kees Ligtenberg (Nikhef) Pixel TPC simulation January 14, 2020 16 / 12

slide-17
SLIDE 17

Simulation of pixel TPC

55 µm 990 µm 18 rows x1 x2 ∆s φ1 φ2 Pixels are described by the same cylindrical volumes in DD4HEP Pixels have ideal 100% coverage (to be scaled) Multiple hits per row can be deposited In order to simulate diffusion, hits are smeared transverse to track in r, φ and z directions Optional: interpolate the track with a parabola over a volume of 0.99 mm (18 pixel rows) Tracks are found and fitted by extending seeds inwards using a Kalman filter

Kees Ligtenberg (Nikhef) Pixel TPC simulation January 14, 2020 17 / 12

slide-18
SLIDE 18

Pad simulation of a 700 MeV muon

Simulated pad hits are only at layer centre crossing

Kees Ligtenberg (Nikhef) Pixel TPC simulation January 14, 2020 18 / 12

slide-19
SLIDE 19

Pixel simulation of a 700 MeV muon

Interpolated pixel hits are placed everywhere along the track

Kees Ligtenberg (Nikhef) Pixel TPC simulation January 14, 2020 19 / 12