Status of GlueX Particle Identification

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Status of GlueX Particle Identification Ryan Mitchell September 10, 2004

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Status of GlueX Particle Identification. Ryan Mitchell September 10, 2004. Outline. Overview of Particle ID Components. Physics Examples. Look at each subdetector: Central Drift Chamber (CDC) Barrel Calorimeter (BCAL) Cerenkov (CKOV) Forward Time of Flight (TOF) - PowerPoint PPT Presentation

Transcript of Status of GlueX Particle Identification

Page 1: Status of GlueX Particle Identification

Status of GlueXParticle Identification

Ryan Mitchell

September 10, 2004

Page 2: Status of GlueX Particle Identification

Outline

• Overview of Particle ID Components.• Physics Examples.• Look at each subdetector:

– Central Drift Chamber (CDC)

– Barrel Calorimeter (BCAL)

– Cerenkov (CKOV)

– Forward Time of Flight (TOF)

• Likelihoods for Particle Hypotheses.• Angular Efficiencies.

Page 3: Status of GlueX Particle Identification

Particle ID with the GlueX Detector:

1. dE/dx from the CDC

2. Time from the BCAL

3. Photo-electrons fromCerenkov

4. Time from the TOF

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Starting Momentum Spectra

Black = proton, Blue = Kaons, Red = Pions

Starting momentafor four reactions:

1. p +-p

2. p K+K-p

3. p K*K*p K+-K-+p

4. p K1K-p K+K-p K++-K-p

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PID Cases (p K*K*p)

Central

Forward

Black = proton, Blue = Kaons, Red = Pions

0. No PID Info

1. CDC2. CDC, BCAL

3. CKOV4. CDC, CKOV5. CDC,BCAL,CKOV

6. CKOV,TOF7. CDC,CKOV,TOF8. CDC,BCAL,CKOV,TOF

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An Example From GEANT (pK*K*p)

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dE/dx from the CDC

Calculated withArgon Gas

Good K/p separationbelow ~2 GeV/c.

Black = ProtonBlue = KaonRed = PionGreen = Electron

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Measured dE/dx in the CDC

Measurements for pK*K*p.

Black = proton, Blue = Kaons, Red = Pions

A dE/dx resolutionof 10% is assumed.

(Case 2 tracks)

Calculating Likelihoods:

Given a track with momentum phitting the CDC,

CDCLi = 1/i(2)1/2exp(-(x-xi)2/ 2i)

i = particle hypothesisxi = predicted measurementi = predicted error (10%)x = actual measurement

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Time of Flight from BCAL

Black = ProtonBlue = KaonRed = PionGreen = Electron

With 200 ps resolution, resolve:

-- /K up to ~1 GeV/c-- K/p up to ~2 GeV/c

Flight distanceof 1.0 meters.

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Measured Time from BCAL

Measurements for pK*K*p.

Black = proton, Blue = Kaons, Red = Pions

Calculating Likelihoods:

Given a track with momentum pand pathlength L hitting the BCAL,

BCALLi = 1/i(2)1/2exp(-(t-ti)2/ 2i)

i = particle hypothesisti = predicted measurementi = predicted error (200ps time resolution, 1% momentum res., 1% length res.)t = actual measurement

Time resolutionof 200ps

(Case 2 tracks)

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CKOV Photo-Electrons

Black = ProtonBlue = KaonRed = PionGreen = Electron

The CDR design:Index of Refraction = 1.0015Length = 1.0 metersEfficiency = 90 cm-1.

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Measured CKOV NPE

Measurements for pK*K*p.

Black = proton, Blue = Kaons, Red = Pions

Calculating Likelihoods:

(Case 7 tracks)

Given a particle of momentum p,calculate the expected number of photoelectrons under differentparticle hypotheses:

= N0sin2c.

If cerenkov “fires”:CKOVLi = (1-e-) + a – a(1-e-)

If cerenkov is quiet:CKOVLi = e-(1-a)

N0 = cerenkov efficiency = length of cerenkov = cone of radiation anglea = accidental rate

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Time from the TOF Wall

Black = ProtonBlue = KaonRed = PionGreen = Electron

With 100 ps resolution, resolve:

-- /K up to ~2.5 GeV/c

-- K/p up to ~4.0 GeV/c

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Measured TOF from the TOF Wall

Measurements for pK*K*p.

Black = proton, Blue = Kaons, Red = Pions

Calculating Likelihoods:

Given a track with momentum pand pathlength L hitting the TOF,

TOFLi = 1/i(2)1/2exp(-(t-ti)2/ 2i)

i = particle hypothesisti = predicted measurementi = predicted error (100ps time resolution, 1% momentum resolution, 1% length resolution)t = actual measurement

Time resolutionof 100ps

(Case 7 tracks)

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Likelihoods

• Combine the likelihoods from all the detectors into a single likelihood, e.g.,

LK = LKCDCLK

BCALLKCKOVLK

TOF

• Make decisions based on likelihood ratios. For now, use:

/K separation = 2ln(L/LK)

K/ separation = 2ln(LK/L)

p/K separation = 2ln(Lp/LK)

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/K Separation

Blue = Kaons, Red = Pions

/K separation= 2ln(L/LK)for pK*K*p

Look at the ratiofor each detectorindividually.

(case 2) (case 2)

(case 7)

(case 7)

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/K Separation

Blue = Kaons, Red = Pions

Combine likelihoodsinto an overalllikelihood.

Now look at the /K separation.

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K/p Separation

Black = proton, Blue = Kaons

K/p separation= 2ln(LK/Lp)for pK*K*p

Look at the ratiofor each detectorindividually.

(case 2) (case 2)

(case 7) (case 7)

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K/p Separation

Black = proton, Blue = Kaons

Combine likelihoodsinto an overalllikelihood.

Now look at the K/p separation.

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Particle ID Cuts

• To get an idea of efficiencies, make the following simplifications…

• A Pion is considered identified if:

2ln(L/LK) > 2.0

• A Kaon is considered identified if:

2ln(LK/L) > 2.0

• A Proton is considered identified if:

2ln(Lp/LK) > 2.0

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Momentum Efficiencies

For pK*K*p,there is definitestructure in momentum efficiencies…

Inefficiencies due to… -- high momentumcentral tracks.-- forward tracks from 2 to 3 GeV/c

Black = proton, Blue = Kaons, Red = Pions

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Angular Efficiencies for K*K*

Efficiencies inGottfried-Jacksonangles.

Starting

After PID

Preference for forward-backward decays.

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Angular Efficiencies for K+K-

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Angular Efficiencies for K1K

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Conclusions

• There are no overwhelming problems in GlueX particle ID.

• In the present setup, inefficiencies occur due to:– High momentum central tracks– Forward tracks between 2 and 3 GeV/c

• These inefficiencies lead to sculpted momentum spectra, but only slight variations in angular efficiencies.