status of the muon simulations

11

1414thth Collaboration Meeting of the Compressed Baryonic Matter Experiment at FAIR, October 6.-9. 2009, Split, Croatia Collaboration Meeting of the Compressed Baryonic Matter Experiment at FAIR, October 6.-9. 2009, Split, Croatia

Status of the muon Status of the muon simulationssimulations

Anna KiselevaAnna Kiseleva

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OutlineOutline Simulation environmentSimulation environment Muon softwareMuon software

geometry of the muon system (MuCh)geometry of the muon system (MuCh) segmentation of the muon detector layerssegmentation of the muon detector layers clusteringclustering

Muon trackingMuon tracking Results of the reconstructionResults of the reconstruction Simulation activities in IndiaSimulation activities in India FLUKA calculationsFLUKA calculations Next stepsNext steps

33


Simulation environmentSimulation environment

trunk (release Jun 09) of the cbmroottrunk (release Jun 09) of the cbmroot background – central UrQMD at 25 AGeVbackground – central UrQMD at 25 AGeV signal: signal: ωω detector setup detector setup

muon magnet and muon fieldmuon magnet and muon field pipe shieldingpipe shielding STS (standard)STS (standard) MuCh (simple and modular design)MuCh (simple and modular design)

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Detector systemDetector system

20 20 20

30 35

100 cm

20 20 20

30 35

100 cm

Total size: 405 cmTotal size: 405 cm

total size of MuCh in release Apr 08 ~ 327 cmtotal size of MuCh in release Apr 08 ~ 327 cm

30 cm30 cm

STSSTS

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Muon software: Muon software: geometries and hit producergeometries and hit producer

Evgeny Kryshen (PNPI)Evgeny Kryshen (PNPI)

Mikhail Ryzhinskiy (PNPI & SPbSPU)Mikhail Ryzhinskiy (PNPI & SPbSPU)

Alexander Zinchenko (JINR)Alexander Zinchenko (JINR)

Test of software – Anna Kiseleva (U. Frankfurt)Test of software – Anna Kiseleva (U. Frankfurt)

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Geometries of the MuChGeometries of the MuCh

simple design modular design modular design simple design modular design modular design with straw tubeswith straw tubes

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Modular design of MuChModular design of MuCh Dead zones Dead zones → missing hits→ missing hits Overlaps Overlaps → double hits→ double hits

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Automatic segmentationAutomatic segmentation// // Number of stationsNumber of stations

seg->SetNStations(6);seg->SetNStations(6);

// // Set minimum allowed resolution for each stationSet minimum allowed resolution for each station

Double_t sigmaXmin[] = {0.08, 0.08, 0.08, 0.08, 0.08, 0.08};Double_t sigmaXmin[] = {0.08, 0.08, 0.08, 0.08, 0.08, 0.08};

Double_t sigmaYmin[] = {0.08, 0.08, 0.08, 0.08, 0.08, 0.08};Double_t sigmaYmin[] = {0.08, 0.08, 0.08, 0.08, 0.08, 0.08};

seg->SetSigmaMin(sigmaXmin, sigmaYmin);seg->SetSigmaMin(sigmaXmin, sigmaYmin);

// // Set maximum allowed resolution for each stationSet maximum allowed resolution for each station

Double_t sigmaXmax[] = {0.6, 0.6, 0.6, 0.6, 0.8, 1.};Double_t sigmaXmax[] = {0.6, 0.6, 0.6, 0.6, 0.8, 1.};

Double_t sigmaYmax[] = {0.6, 0.6, 0.6, 0.6, 0.8, 1.};Double_t sigmaYmax[] = {0.6, 0.6, 0.6, 0.6, 0.8, 1.};

seg->SetSigmaMax(sigmaXmax, sigmaYmax);seg->SetSigmaMax(sigmaXmax, sigmaYmax);

// // Set maximum occupancy for each stationSet maximum occupancy for each station

Double_t occupancyMax[] = {0.05, 0.05, 0.05, 0.05, 0.05, 0.05};Double_t occupancyMax[] = {0.05, 0.05, 0.05, 0.05, 0.05, 0.05};

seg->SetOccupancyMax(occupancyMax);seg->SetOccupancyMax(occupancyMax);

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Manual segmentationManual segmentation## General information General informationNumber of stations : 6Number of stations : 6

## Station specification Station specificationNumber of channels : 128 128 128 128 128 128Number of channels : 128 128 128 128 128 128Number of regions : 4 4 3 3 3 3Number of regions : 4 4 3 3 3 3

# # Station 1Station 1Region radii [cm] : 19.6 30.8 47.6 70Region radii [cm] : 19.6 30.8 47.6 70Pad width [cm] : 0.28 0.56 1.12 2.24Pad width [cm] : 0.28 0.56 1.12 2.24Pad length [cm] : 0.28 0.56 1.12 2.24Pad length [cm] : 0.28 0.56 1.12 2.24

# # Station 2Station 2Region radii [cm] : 26.6 41.8 64.6 96Region radii [cm] : 26.6 41.8 64.6 96Pad width [cm] : 0.56 1.12 2.24 4.48Pad width [cm] : 0.56 1.12 2.24 4.48Pad length [cm] : 0.56 1.12 2.24 4.48Pad length [cm] : 0.56 1.12 2.24 4.48

# # Station 3Station 3Region radii [cm] : 33.6 52.8 120Region radii [cm] : 33.6 52.8 120Pad width [cm] : 1.12 2.24 4.48 Pad width [cm] : 1.12 2.24 4.48 Pad length [cm] : 1.12 2.24 4.48Pad length [cm] : 1.12 2.24 4.48

# # Station 4Station 4Region radii [cm] : 42 66 150Region radii [cm] : 42 66 150Pad width [cm] : 1.12 2.24 4.48Pad width [cm] : 1.12 2.24 4.48Pad length [cm] : 1.12 2.24 4.48Pad length [cm] : 1.12 2.24 4.48

# # Station 5Station 5Region radii [cm] : 51.1 80.3 182.5Region radii [cm] : 51.1 80.3 182.5Pad width [cm] : 1.12 2.24 4.48Pad width [cm] : 1.12 2.24 4.48Pad length [cm] : 1.12 2.24 4.48Pad length [cm] : 1.12 2.24 4.48

# # Station 6Station 6Region radii [cm] : 69.3 108.9 247.5Region radii [cm] : 69.3 108.9 247.5Pad width [cm] : 1.12 2.24 4.48Pad width [cm] : 1.12 2.24 4.48Pad length [cm] : 1.12 2.24 4.48Pad length [cm] : 1.12 2.24 4.48

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SegmentationSegmentationfor simple design of MuChfor simple design of MuCh

~ 390 000 channels~ 390 000 channels

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SegmentationSegmentationfor modular design of MuChfor modular design of MuCh

~ 560 000 channels~ 560 000 channels

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Muon TrackingMuon Tracking

Andrey Lebedev (Andrey Lebedev (GSI, GSI, LIT JINR)LIT JINR)

Test of the tracking – Anna Kiseleva (U. Frankfurt)Test of the tracking – Anna Kiseleva (U. Frankfurt)

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Muon trackingMuon trackingJ/J/ψψ →→ μμ++ μμ––

ρρ00 →→ μμ++ μμ––

ωω →→ μμ++ μμ––

φφ →→ μμ++ μμ––

J/ψ → μ+ μ–

ω → μ+ μ–

μω

μJ/ψ

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Algorithm of the muon trackingAlgorithm of the muon tracking Tracking is based on Tracking is based on

Track followingTrack following

Kalman Filter (KF)Kalman Filter (KF)

Different hit-to-track association techniques Different hit-to-track association techniques

(nearest neighbor, branching, weighting)(nearest neighbor, branching, weighting)

Two main steps:Two main steps: track findingtrack finding

track selectiontrack selection

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Global trackingGlobal tracking STS tracking STS tracking

Global Tracking + TOF hit to track mergingGlobal Tracking + TOF hit to track merging

STSSTS

MUCHMUCHTRDTRD TOFTOF

L1 STStracking

Global tracking

Hit-to-track merging

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Tracking performanceTracking performance

muonsall

STSSTS STS+MUCHSTS+MUCH STS+MUCH+TOFSTS+MUCH+TOF MUCHMUCH TOFTOF

allall 74.974.9 90.590.5 91.691.6 93.893.8 99.299.2

referencereference 94.894.8 91.691.6 92.192.1 94.494.4 99.299.2

muonsmuons 97.097.0 92.192.1 92.192.1 94.994.9 99.299.2

Efficiency in %Efficiency in %

EventsEvents1000 UrQMD at 25 AGeV 1000 UrQMD at 25 AGeV + 10 mu in each event+ 10 mu in each event

Branching trackingBranching tracking

Andrey LebedevAndrey Lebedev

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Results of the full reconstructionResults of the full reconstruction

MuChMuCh simple designsimple design modular designmodular design

S/B ratioS/B ratio 0.0730.073 0.0490.049

εεωω (%) (%) 1.751.75 1.781.78

Cuts:Cuts: χχ22

prim.vertexprim.vertex < 2.5 < 2.5 ≤ ≤ 4 STS hits4 STS hits χχ22

MuChMuCh < 40 < 40 ≥ ≥ 15 MuCh hits15 MuCh hits

ω→μω→μ++μμ-- + + central Au+Au collisions at 25 AGeVcentral Au+Au collisions at 25 AGeV

Cuts:Cuts: χχ22

prim.vertexprim.vertex < 2 < 2 ≤ ≤ 4 STS hits4 STS hits χχ22

MuChMuCh < 42.5 < 42.5 ≥ ≥ 14 MuCh hits14 MuCh hits

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Invariant mass spectrum Invariant mass spectrum

simple design

modular design


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ClusteringClustering

CbmMuchDigitizeAdvancedGem* digitize = new CbmMuchDigitizeAdvancedGem* digitize = new

CbmMuchDigitizeAdvancedGem("MuchDigitizeAdvancedGem", digiFile, CbmMuchDigitizeAdvancedGem("MuchDigitizeAdvancedGem", digiFile,

iVerbose);iVerbose);

digitize->SetSpotRadius(digitize->SetSpotRadius(0.150.15););

digitize->SetQThreshold(digitize->SetQThreshold(33););

digitize->SetQMaximum(digitize->SetQMaximum(500000500000););

digitize->SetNADCChannels(digitize->SetNADCChannels(256256););

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ClusteringClustering

CbmMuchFindHitsAdvancedGem* findHits = new CbmMuchFindHitsAdvancedGem* findHits = new

CbmMuchFindHitsAdvancedGem("MuchFindHitsAdvancedGem", digiFile, CbmMuchFindHitsAdvancedGem("MuchFindHitsAdvancedGem", digiFile,

iVerbose);iVerbose);Produces hits in GEM-like modules using different clustering algorithms. Clustering algorithms can Produces hits in GEM-like modules using different clustering algorithms. Clustering algorithms can

be chosen by the switch SetAlgorithm(Int_t iAlgorithm)be chosen by the switch SetAlgorithm(Int_t iAlgorithm)

Several clustering algorithms are supportedSeveral clustering algorithms are supported

0 – Simple with 0 – Simple with threshold=0threshold=0

1 – Simple 1 – Simple

2 – Ward (fuzzy clustering)2 – Ward (fuzzy clustering)

3 – Simple + Ward3 – Simple + Ward

4 – Divisive clustering4 – Divisive clustering

5 – Simple + divisive clustering5 – Simple + divisive clustering

The Default value is 1: Simple Clustering AlgorithmThe Default value is 1: Simple Clustering Algorithm

// --- Set Algorithm for clustering// --- Set Algorithm for clustering

findHits->SetAlgorithm(findHits->SetAlgorithm(11); ); Divisive Clustering Method Divisive Clustering Method

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Event displayEvent display

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Results of the full reconstruction Results of the full reconstruction with clusteringwith clustering

clusteringclustering nono yesyes

S/B ratioS/B ratio 0.0490.049 0.0460.046

εεωω (%) (%) 1.781.78 1.151.15

Cuts:Cuts: χχ22

prim.vertexprim.vertex < 2 < 2 ≤ ≤ 4 STS hits4 STS hits χχ22

MuChMuCh < 42.5 < 42.5 ≥ ≥ 14 MuCh hits14 MuCh hits modular design of MuChmodular design of MuCh


2323


Invariant mass spectrum Invariant mass spectrum

withclusters


withoutclusters

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Activities in IndiaActivities in IndiaStudents working on various topics..Students working on various topics..

Partha(VECC), Hemen (GU) : Trigger, SIS100, Partha(VECC), Hemen (GU) : Trigger, SIS100, physics simulationphysics simulation

Bipasha (CU): dynamic range simulation, J/Psi Bipasha (CU): dynamic range simulation, J/Psi physics at FAIRphysics at FAIR

Arun: Geometry studyArun: Geometry study Manish, Irshad (Jammu U)Manish, Irshad (Jammu U)

EVO meet every Thursday: co-ordinator: Z. AhammedEVO meet every Thursday: co-ordinator: Z. Ahammed

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Trigger simulationsTrigger simulations

Partha Pratim Bhaduri (VECC, India)Partha Pratim Bhaduri (VECC, India)

2626


Trigger algorithmTrigger algorithm Take 3 hits from the trigger station Take 3 hits from the trigger station

with one from each of the 3 layers & with one from each of the 3 layers & fit with st. line both in X-Z & Y-Z plane fit with st. line both in X-Z & Y-Z plane passing through the origin (0. 0) i.e.passing through the origin (0. 0) i.e.

X = mX = m00*Z ; Y=m*Z ; Y=m11*Z*Z

Make all possible combinationsMake all possible combinations Find Find χχ22 & apply cut on both & apply cut on both χχ22

XX & & χχ22yy

Hit combination satisfying the cuts is Hit combination satisfying the cuts is called a triplet.called a triplet.

Hits once used for formation of a Hits once used for formation of a triplet is not used further.triplet is not used further.

Find mFind m00 & m & m11 of the fitted st. lines of the fitted st. lines

Define a parameter Define a parameter αα==√√(m(m0022+m+m11

22)) Apply cut on Apply cut on αα

Magnetic fieldMagnetic field

(0,0,0)(0,0,0)

Trigger stationTrigger station

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ResultsResults

J/J/ψψ reconstruction reconstruction

efficiencyefficiency

event event suppression suppression

factorfactor

without triggerwithout trigger 29.3 %29.3 % 11

after triggerafter trigger 15.3 %15.3 % ~1430~1430

Input: Input: background – 80 000 minimum bias events at 25 AGeV Au+Au collisionsbackground – 80 000 minimum bias events at 25 AGeV Au+Au collisionssignal – J/signal – J/ψψ→→μμ++μμ-- in 1000 minimum bias events in 1000 minimum bias events

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Future plansFuture plans

Prepare a look-up table for different values of cut Prepare a look-up table for different values of cut parameters & corresponding values of background parameters & corresponding values of background suppression factor & signal reconstruction efficiency.suppression factor & signal reconstruction efficiency.

Implementation of TRD in the present scheme.Implementation of TRD in the present scheme.

Study pad resolution effect.Study pad resolution effect.

Formation of CbmMuchTrigger class to be run in chain.Formation of CbmMuchTrigger class to be run in chain.

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Study of Manual Segmentation Study of Manual Segmentation of MuChof MuCh

Arun Prakash Arun Prakash

(High Energy Physics Lab Department of (High Energy Physics Lab Department of Physics Banaras Hindu University Physics Banaras Hindu University Varanasi-221005)Varanasi-221005)

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Different segmentation schemesDifferent segmentation schemesversionversion

ofof

segm. segm. schemescheme

detector detector sub-sub-

stationstation11 22 33 44 55 66

AA577536577536

padpad

sizesize

(cm(cmcm)cm)

0.2 x 0.40.2 x 0.4

to 1.6 x 3.2 to 1.6 x 3.2

3 regions3 regions

1.6 x 1.61.6 x 1.6

1 region1 region

1.6 x 1.61.6 x 1.6

1 region1 region

1.6 x 1.61.6 x 1.6

1 region1 region

1.6 x 1.61.6 x 1.6

1 region1 region

1.6 x 1.61.6 x 1.6

1 region1 region

BB12113921211392

0.2 x 0.40.2 x 0.4

1 region1 region

1.6 x 1.61.6 x 1.6

1 region1 region

1.6 x 1.61.6 x 1.6

1 region1 region

1.6 x 1.61.6 x 1.6

1 region1 region

1.6 x 1.61.6 x 1.6

1 region1 region

1.6 x 1.61.6 x 1.6

1 region1 region

CC628736628736

0.2 x 0.40.2 x 0.4

0.4 x 1.60.4 x 1.6

2 regions2 regions

1.6 x 1.61.6 x 1.6

1 region1 region

1.6 x 1.61.6 x 1.6

1 region1 region

1.6 x 1.61.6 x 1.6

1 region1 region

1.6 x 1.61.6 x 1.6

1 region1 region

1.6 x 1.61.6 x 1.6

1 region1 region

DD574462574462

0.2 x 0.40.2 x 0.4

to 0.8 x 3.2to 0.8 x 3.2

3 regions3 regions

1.6 x 1.61.6 x 1.6

1 region1 region

1.6 x 1.61.6 x 1.6

1 region1 region

1.6 x 1.61.6 x 1.6

1 region1 region

1.6 x 1.61.6 x 1.6

1 region1 region

1.6 x 1.61.6 x 1.6

1 region1 region

EE195840195840

0.2 x 0.40.2 x 0.4

to 1.6 x 3.2 to 1.6 x 3.2

3 regions3 regions

0.8 x 1.6 to0.8 x 1.6 to

3.2 to 3.23.2 to 3.2

3 regions3 regions

1.6 x 3.2 to1.6 x 3.2 to

3.2 to 3.23.2 to 3.2

2 regions2 regions

3.2 x 3.23.2 x 3.2

1 region1 region

3.2 x 3.23.2 x 3.2

1 region1 region

3.2 x 3.23.2 x 3.2

1 region1 region

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Efficiency of the reconstructed Efficiency of the reconstructed muons from J/muons from J/ψψ

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Future plansFuture plans

To look into other parameters like invariant To look into other parameters like invariant

mass, acceptance plot, momentum mass, acceptance plot, momentum

distribution etc.distribution etc.

Add clusteringAdd clustering

Study auto-segmentation Study auto-segmentation

3333


SIS-100 simulationSIS-100 simulation

Charm simulations for SIS100 energies using Charm simulations for SIS100 energies using HSD generatorHSD generator

Optimization of the muon geometry (N of Optimization of the muon geometry (N of stations/pad-sizes)stations/pad-sizes)

Arun (and Dr. Viyogi) will be at GSI working on Arun (and Dr. Viyogi) will be at GSI working on thisthis

3434


FLUKA calculationsFLUKA calculations

Anna Kiseleva (U. Frankfurt)Anna Kiseleva (U. Frankfurt)

3535


Radiation dose simulations Radiation dose simulations (Denis Bertini)(Denis Bertini)

13. CBM Collaboration Meeting13. CBM Collaboration MeetingMarch 9-13, 2009, GSI DarmstadtMarch 9-13, 2009, GSI Darmstadt

3636


scoring planes

Compact MuChCompact MuCh

target

Absorb

er

material

: FeC W

20 20 20 30 40 cm

3737


UrQMD eventsUrQMD events

mBias central

3838


mBias UrQMDmBias UrQMD

original UrQMD UrQMD with rotated reaction plane

3939


Next stepsNext steps Muon system optimization: number of Muon system optimization: number of

detector layers and thickness of the detector layers and thickness of the absorbersabsorbers

Optimization of the segmentation schemeOptimization of the segmentation scheme Implementation of the realistic detector Implementation of the realistic detector

parameters from the beam test parameters from the beam test Radiation dose calculation with FLUKA for Radiation dose calculation with FLUKA for

all detector systemsall detector systems

status of the muon simulations

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