22/5/2011 particle-id and tracking performance in clic_ild1/27 clic_ild particle identification and...

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22/5/2011 Particle-ID and Tracking performance in CLIC_ILD 1/27 CLIC_ILD particle identification and tracking performance J. Nardulli This talk in 2 parts: Particle-ID performance: efficiencies, purities and mis-identification rate Tracking performance: efficiency and fake rate

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Page 1: 22/5/2011 Particle-ID and Tracking performance in CLIC_ILD1/27 CLIC_ILD particle identification and tracking performance J. Nardulli This talk in 2 parts:

22/5/2011 Particle-ID and Tracking performance in CLIC_ILD 1/27

CLIC_ILD particle identification and tracking performance

J. Nardulli

This talk in 2 parts:Particle-ID performance: efficiencies, purities and mis-identification rateTracking performance: efficiency and fake rate

Page 2: 22/5/2011 Particle-ID and Tracking performance in CLIC_ILD1/27 CLIC_ILD particle identification and tracking performance J. Nardulli This talk in 2 parts:

22/5/2011 Particle-ID and Tracking performance in CLIC_ILD 2/27

Part 1: Particle-Identification performance in CLIC_ILD

Page 3: 22/5/2011 Particle-ID and Tracking performance in CLIC_ILD1/27 CLIC_ILD particle identification and tracking performance J. Nardulli This talk in 2 parts:

22/5/2011 Particle-ID and Tracking performance in CLIC_ILD 3/27

The particle-ID algorithm• For Efficiency and purity we take a list of MC-Particle and

PFO of same PDG type• Create lists of findable PFOs and MC-Particles

– Cuts used• Energy > 7.5 GeV• Polar angle > 8 degrees• MC-Particles with Generator status equal to 1

• Match Energy and PFO on direction and Energy– Direction: PFO and MC-Particle inside a 1 degree cone– Energy/Momentum

• For charged particles:• For neutral particles :

• Similarly when requiring to have particles with different PDG type, we look at the mistag rate

Page 4: 22/5/2011 Particle-ID and Tracking performance in CLIC_ILD1/27 CLIC_ILD particle identification and tracking performance J. Nardulli This talk in 2 parts:

22/5/2011 Particle-ID and Tracking performance in CLIC_ILD 4/27

The particle-ID algorithm• For Efficiency and purity we take a list of MC-Particle and

PFO of same PDG type• Create lists of findable PFOs and MC-Particles

– Cuts used• Energy > 7.5 GeV• Polar angle > 8 degrees• MC-Particles with Generator status equal to 1

• Match Energy and PFO on direction and Energy– Direction: PFO and MC-Particle inside a 1 degree cone– Energy/Momentum

• For charged particles:• For neutral particles :

• Similarly when requiring to have particles with different PDG type, we look at the mistag rate

Page 5: 22/5/2011 Particle-ID and Tracking performance in CLIC_ILD1/27 CLIC_ILD particle identification and tracking performance J. Nardulli This talk in 2 parts:

22/5/2011 Particle-ID and Tracking performance in CLIC_ILD 5/27

The particle-ID algorithm• For Efficiency and purity we take a list of MC-Particle and

PFO of same PDG type• Create lists of findable PFOs and MC-Particles

– Cuts used• Energy > 7.5 GeV• Polar angle > 8 degrees• MC-Particles with Generator status equal to 1

• Match Energy and PFO on direction and Energy– Direction: PFO and MC-Particle inside a 1 degree cone– Energy/Momentum

• For charged particles:• For neutral particles :

• Similarly when requiring to have particles with different PDG type, we look at the mistag rate

Page 6: 22/5/2011 Particle-ID and Tracking performance in CLIC_ILD1/27 CLIC_ILD particle identification and tracking performance J. Nardulli This talk in 2 parts:

22/5/2011 Particle-ID and Tracking performance in CLIC_ILD 6/27

The particle-ID algorithm• For Efficiency and purity we take a list of MC-Particle and

PFO of same PDG type• Create lists of findable PFOs and MC-Particles

– Cuts used• Energy > 7.5 GeV• Polar angle > 8 degrees• MC-Particles with Generator status equal to 1

• Match Energy and PFO on direction and Energy– Direction: PFO and MC-Particle inside a 1 degree cone– Energy/Momentum

• For charged particles:• For neutral particles :

• Similarly when requiring to have particles with different PDG type, we look at the mistag rate

Page 7: 22/5/2011 Particle-ID and Tracking performance in CLIC_ILD1/27 CLIC_ILD particle identification and tracking performance J. Nardulli This talk in 2 parts:

22/5/2011 Particle-ID and Tracking performance in CLIC_ILD 7/27

DefinitionsEfficiency: matched MCParticles/findable MCParticles

Purity: Matched PFOs/findable PFOs

Mistag rate: matched –different PDG- MCParticles/findable MCParticles

These definitions are per MCParticle and per Event

Plots in the next slides produced with particle guns electrons, photons, muons and pions generated in all the θ and φ spectrum with energies up to 400 GeV

Page 8: 22/5/2011 Particle-ID and Tracking performance in CLIC_ILD1/27 CLIC_ILD particle identification and tracking performance J. Nardulli This talk in 2 parts:

22/5/2011 Particle-ID and Tracking performance in CLIC_ILD 8/27

Electrons: Efficiency

vs. θ

vs. Energy

40%

60%

100%

80%

75%

100%

90%

85%80%

Page 9: 22/5/2011 Particle-ID and Tracking performance in CLIC_ILD1/27 CLIC_ILD particle identification and tracking performance J. Nardulli This talk in 2 parts:

22/5/2011 Particle-ID and Tracking performance in CLIC_ILD 9/27

Electrons: Purity

vs. θ

vs. Energy

75%

100%

90%

85%80%

75%

100%

90%

85%80%

Page 10: 22/5/2011 Particle-ID and Tracking performance in CLIC_ILD1/27 CLIC_ILD particle identification and tracking performance J. Nardulli This talk in 2 parts:

22/5/2011 Particle-ID and Tracking performance in CLIC_ILD 10/27

Photons: Efficiency

vs. θ

vs. Energy

80%

65%

100%

90%

75%

100%

90%

85%80%

Page 11: 22/5/2011 Particle-ID and Tracking performance in CLIC_ILD1/27 CLIC_ILD particle identification and tracking performance J. Nardulli This talk in 2 parts:

22/5/2011 Particle-ID and Tracking performance in CLIC_ILD 11/27

Photons: Purity

vs. θ

vs. Energy

80%

65%

100%

90%

75%

100%

90%

85%

80%

Page 12: 22/5/2011 Particle-ID and Tracking performance in CLIC_ILD1/27 CLIC_ILD particle identification and tracking performance J. Nardulli This talk in 2 parts:

22/5/2011 Particle-ID and Tracking performance in CLIC_ILD 12/27

Pions: Efficiency

vs. θ

vs. Energy

40%

60%

100%

80%

75%

100%

90%85%

80%

Page 13: 22/5/2011 Particle-ID and Tracking performance in CLIC_ILD1/27 CLIC_ILD particle identification and tracking performance J. Nardulli This talk in 2 parts:

22/5/2011 Particle-ID and Tracking performance in CLIC_ILD 13/27

Pions: Purity

vs. θ

vs. Energy

75%

100%

90%85%

75%

100%

90%

85%

Page 14: 22/5/2011 Particle-ID and Tracking performance in CLIC_ILD1/27 CLIC_ILD particle identification and tracking performance J. Nardulli This talk in 2 parts:

22/5/2011 Particle-ID and Tracking performance in CLIC_ILD 14/27

Muons: Efficiency and purity for 10 GeV particles

Efficiency vs. θ

Purity vs. θ

85%

90%

95%

100%

85%

90%

95%

100%

Page 15: 22/5/2011 Particle-ID and Tracking performance in CLIC_ILD1/27 CLIC_ILD particle identification and tracking performance J. Nardulli This talk in 2 parts:

22/5/2011 Particle-ID and Tracking performance in CLIC_ILD 15/27

Muons: Efficiency for Zbb events

vs. θ

vs. Energy

50%

100%90%

70%

50%

100%90%

70%

Page 16: 22/5/2011 Particle-ID and Tracking performance in CLIC_ILD1/27 CLIC_ILD particle identification and tracking performance J. Nardulli This talk in 2 parts:

22/5/2011 Particle-ID and Tracking performance in CLIC_ILD 16/27

Average efficiency and purity for all particles in CLIC_ILD_CDR

Plots in the previous slides produced with particle guns electrons, photons, muons and pions generated in all the θ and φ spectrum with energies up to 400 GeV

Page 17: 22/5/2011 Particle-ID and Tracking performance in CLIC_ILD1/27 CLIC_ILD particle identification and tracking performance J. Nardulli This talk in 2 parts:

22/5/2011 Particle-ID and Tracking performance in CLIC_ILD 17/27

Average mistag rate per eventfor all particles in CLIC_ILD_CDR

Mis

tag

rate

[%]

Page 18: 22/5/2011 Particle-ID and Tracking performance in CLIC_ILD1/27 CLIC_ILD particle identification and tracking performance J. Nardulli This talk in 2 parts:

22/5/2011 Particle-ID and Tracking performance in CLIC_ILD 18/27

Conclusions

Efficiency and Purity•Efficiency and purity are above 90% for all particles considered

Mistag rate•Apart from the less interesting 1 GeV case•For 100 and 500 GeV for all particles the mistag rate is always < 2%•At 10 GeV we have higher values for electrons, mostly mistagged as pions•Mistagged Pions are found mostly at PFO level as electrons•Gammas are found as neutrons and Pions

Page 19: 22/5/2011 Particle-ID and Tracking performance in CLIC_ILD1/27 CLIC_ILD particle identification and tracking performance J. Nardulli This talk in 2 parts:

22/5/2011 Particle-ID and Tracking performance in CLIC_ILD 19/27

Part 2: Tracking performance in CLIC_ILD

Page 20: 22/5/2011 Particle-ID and Tracking performance in CLIC_ILD1/27 CLIC_ILD particle identification and tracking performance J. Nardulli This talk in 2 parts:

22/5/2011 Particle-ID and Tracking performance in CLIC_ILD 20/27

Tracking performance algorithm • For the Tracking Efficiency we make a list of findable MC-Particles

– Cuts used• Energy > 250 MeV• Polar angle > 8 degrees• Charge different from 0• Flight distance cut Default value > 50 mm• |Origin of MC – interaction point| Default value < 50 mm

• Then Loop over all the tracks and all the MC-Particles• For every track try to match it to a MCParticle

– If you succeed and your MC Particle is findable you’re efficient– If you succeed and your MC Particle is NOT findable your track is not a

fake– If you do not succeed, your track is a fake

• Matching Criteria: – Nr of hits of a track, that belong to the MCParticle you want to match > 75%

Page 21: 22/5/2011 Particle-ID and Tracking performance in CLIC_ILD1/27 CLIC_ILD particle identification and tracking performance J. Nardulli This talk in 2 parts:

22/5/2011 Particle-ID and Tracking performance in CLIC_ILD 21/27

Tracking performance algorithm • For the Tracking Efficiency we make a list of findable MC-Particles

– Cuts used• Energy > 250 MeV• Polar angle > 8 degrees• Charge different from 0• Flight distance cut Default value > 50 mm• |Origin of MC – interaction point| Default value < 50 mm

• Then Loop over all the tracks and all the MC-Particles• For every track try to match it to a MCParticle

– If you succeed and your MC Particle is findable you’re efficient– If you succeed and your MC Particle is NOT findable your track is not a

fake– If you do not succeed, your track is a fake

• Matching Criteria: – Nr of hits of a track, that belong to the MCParticle you want to match > 75%

Page 22: 22/5/2011 Particle-ID and Tracking performance in CLIC_ILD1/27 CLIC_ILD particle identification and tracking performance J. Nardulli This talk in 2 parts:

22/5/2011 Particle-ID and Tracking performance in CLIC_ILD 22/27

Tracking performance algorithm • For the Tracking Efficiency we make a list of findable MC-Particles

– Cuts used• Energy > 250 MeV• Polar angle > 8 degrees• Charge different from 0• Flight distance cut Default value > 50 mm• |Origin of MC – interaction point| Default value < 50 mm

• Then Loop over all the tracks and all the MC-Particles• For every track try to match it to a MCParticle

– If you succeed and your MC Particle is findable you’re efficient– If you succeed and your MC Particle is NOT findable your track is not a

fake– If you do not succeed, your track is a fake

• Matching Criteria: – Nr of hits of a track, that belong to the MCParticle you want to match > 75%

Page 23: 22/5/2011 Particle-ID and Tracking performance in CLIC_ILD1/27 CLIC_ILD particle identification and tracking performance J. Nardulli This talk in 2 parts:

22/5/2011 Particle-ID and Tracking performance in CLIC_ILD 23/27

Definitions

Efficiency: matched Tracks/findable MCParticles

Fake Rate: Not Matched Tracks/All Tracks

Page 24: 22/5/2011 Particle-ID and Tracking performance in CLIC_ILD1/27 CLIC_ILD particle identification and tracking performance J. Nardulli This talk in 2 parts:

22/5/2011 Particle-ID and Tracking performance in CLIC_ILD 24/27

Results: Signal Efficiency

vs. vs. θθWithout background overlaidWithout background overlaid

vs. Momentumvs. Momentum

Without background Without background the fake rate is at 0.005%the fake rate is at 0.005%

• Particle gun muons generated in all the θ and φ spectrum up to 400 GeV• Reconstructed with and without background overlay [60 bunches of γγ hadrons]

Page 25: 22/5/2011 Particle-ID and Tracking performance in CLIC_ILD1/27 CLIC_ILD particle identification and tracking performance J. Nardulli This talk in 2 parts:

22/5/2011 Particle-ID and Tracking performance in CLIC_ILD 25/27

Results: Signal Efficiency• Particle gun muons generated in all the θ and φ spectrum up to 400 GeV• Reconstructed with and without background overlay [60 bunches of γγ hadrons]

vs. vs. θθWithWith background overlaid background overlaid

vs. Momentumvs. Momentum

With background With background the fake rate is at ~10% the fake rate is at ~10% see next slide see next slide

Page 26: 22/5/2011 Particle-ID and Tracking performance in CLIC_ILD1/27 CLIC_ILD particle identification and tracking performance J. Nardulli This talk in 2 parts:

22/5/2011 Particle-ID and Tracking performance in CLIC_ILD 26/27

Results: Fake rate

vs. vs. θθ vs. Ptvs. Pt

WithWith background overlaid background overlaid

• Particle gun muons generated in all the θ and φ spectrum up to 400 GeV• Reconstructed with and without background overlay [60 bunches of γγ hadrons]

Page 27: 22/5/2011 Particle-ID and Tracking performance in CLIC_ILD1/27 CLIC_ILD particle identification and tracking performance J. Nardulli This talk in 2 parts:

22/5/2011 Particle-ID and Tracking performance in CLIC_ILD 27/27

Conclusions• For single muons without overlaid background the tracking

efficiency is ~100% and the fake rate is at 0.005%• The overlaid background does NOT deteriorate the tracking

efficiency for single muons

• While it increases the fake rate which goes to ~10%