The Arbor Particle Flow Algorithm approach Reconstruction …R. Eté (UCBL - IPNL) Arbor PFA...
Transcript of The Arbor Particle Flow Algorithm approach Reconstruction …R. Eté (UCBL - IPNL) Arbor PFA...
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The Arbor Particle Flow Algorithm approachReconstruction of single particle and overlaid particles
Journées Collisionneur Linéaire 2014 - Grenoble
Eté Rémi
Université Claude Bernard Lyon 1Institut de Physique Nucléaire de Lyon
December 3, 2014
R. Eté (UCBL - IPNL) Arbor PFA December 3, 2014 1 / 15
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Particle Flow Calorimetry
Particle Flow CalorimetryIntroduction
Particle flow approach is believed to be the most adapted algorithm for Linear Collider Detectors design.The software approach is (rather) simple and works in conjunction with the detector granularity (calorimeters).
Working principle :
Identify tracks (Tracker) that can lead to clusters in calorimeters.
From these tracks, build clusters (ECAL+HCAL) using track momentum→ Charged particlereconstruction
Remove energy deposition from charged particles
Build clusters from remaining energy depositions (ECAL+HCAL)→ Neutral particle reconstruction
The performance of a Particle Flow implementation is mainly characterised by
Jet Energy Resolution (JER)
Confusion term (mis-identified energy deposition)
Performance in physics analysis
the three characteristics being correlated ...
R. Eté (UCBL - IPNL) Arbor PFA December 3, 2014 2 / 15
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Particle Flow Calorimetry
Particle Flow CalorimetryIntroduction
Particle flow approach is believed to be the most adapted algorithm for Linear Collider Detectors design.The software approach is (rather) simple and works in conjunction with the detector granularity (calorimeters).
Working principle :
Identify tracks (Tracker) that can lead to clusters in calorimeters.
From these tracks, build clusters (ECAL+HCAL) using track momentum→ Charged particlereconstruction
Remove energy deposition from charged particles
Build clusters from remaining energy depositions (ECAL+HCAL)→ Neutral particle reconstruction
The performance of a Particle Flow implementation is mainly characterised by
Jet Energy Resolution (JER)
Confusion term (mis-identified energy deposition)
Performance in physics analysis
the three characteristics being correlated ...
R. Eté (UCBL - IPNL) Arbor PFA December 3, 2014 2 / 15
-
Particle Flow Calorimetry
Particle Flow CalorimetryIntroduction
Particle flow approach is believed to be the most adapted algorithm for Linear Collider Detectors design.The software approach is (rather) simple and works in conjunction with the detector granularity (calorimeters).
Working principle :
Identify tracks (Tracker) that can lead to clusters in calorimeters.
From these tracks, build clusters (ECAL+HCAL) using track momentum→ Charged particlereconstruction
Remove energy deposition from charged particles
Build clusters from remaining energy depositions (ECAL+HCAL)→ Neutral particle reconstruction
The performance of a Particle Flow implementation is mainly characterised by
Jet Energy Resolution (JER)
Confusion term (mis-identified energy deposition)
Performance in physics analysis
the three characteristics being correlated ...
R. Eté (UCBL - IPNL) Arbor PFA December 3, 2014 2 / 15
-
Particle Flow Calorimetry
Particle Flow CalorimetryIntroduction
Particle flow approach is believed to be the most adapted algorithm for Linear Collider Detectors design.The software approach is (rather) simple and works in conjunction with the detector granularity (calorimeters).
Working principle :
Identify tracks (Tracker) that can lead to clusters in calorimeters.
From these tracks, build clusters (ECAL+HCAL) using track momentum→ Charged particlereconstruction
Remove energy deposition from charged particles
Build clusters from remaining energy depositions (ECAL+HCAL)→ Neutral particle reconstruction
The performance of a Particle Flow implementation is mainly characterised by
Jet Energy Resolution (JER)
Confusion term (mis-identified energy deposition)
Performance in physics analysis
the three characteristics being correlated ...
R. Eté (UCBL - IPNL) Arbor PFA December 3, 2014 2 / 15
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Particle Flow Calorimetry
Particle Flow CalorimetryImplementation
Many implementations of the Particle Flow Algorithm exist :
PandoraPFA is currently the one that gives the best performances.The clustering algorithm is a cone-based approach. Also runs multiple clustering algorithm to optimizethe track-cluster association.Designed and tuned with 3x3cm2 Analog HCAL.Adopted by ILC community for physics analysis !
ArborPFA which is currently under development.The clustering algorithm is tree-based approach. No use of energy information within the algorithm forthe time being, only topology.Designed for any calorimeter.Currently tuned for 1x1cm2 cell size without any energy readout dependency (AHCAL/DHCAL/SDHCAL).Still under development
IowaPFA developped for SiD design.Gives similar results to PandoraPFA on physics analysis
R. Eté (UCBL - IPNL) Arbor PFA December 3, 2014 3 / 15
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Particle Flow Calorimetry
Particle Flow CalorimetryImplementation
Many implementations of the Particle Flow Algorithm exist :
PandoraPFA is currently the one that gives the best performances.The clustering algorithm is a cone-based approach. Also runs multiple clustering algorithm to optimizethe track-cluster association.Designed and tuned with 3x3cm2 Analog HCAL.Adopted by ILC community for physics analysis !
ArborPFA which is currently under development.The clustering algorithm is tree-based approach. No use of energy information within the algorithm forthe time being, only topology.Designed for any calorimeter.Currently tuned for 1x1cm2 cell size without any energy readout dependency (AHCAL/DHCAL/SDHCAL).Still under development
IowaPFA developped for SiD design.Gives similar results to PandoraPFA on physics analysis
R. Eté (UCBL - IPNL) Arbor PFA December 3, 2014 3 / 15
-
Particle Flow Calorimetry
Particle Flow CalorimetryImplementation
Many implementations of the Particle Flow Algorithm exist :
PandoraPFA is currently the one that gives the best performances.The clustering algorithm is a cone-based approach. Also runs multiple clustering algorithm to optimizethe track-cluster association.Designed and tuned with 3x3cm2 Analog HCAL.Adopted by ILC community for physics analysis !
ArborPFA which is currently under development.The clustering algorithm is tree-based approach. No use of energy information within the algorithm forthe time being, only topology.Designed for any calorimeter.Currently tuned for 1x1cm2 cell size without any energy readout dependency (AHCAL/DHCAL/SDHCAL).Still under development
IowaPFA developped for SiD design.Gives similar results to PandoraPFA on physics analysis
R. Eté (UCBL - IPNL) Arbor PFA December 3, 2014 3 / 15
-
Particle Flow Calorimetry
Particle Flow CalorimetryImplementation
Many implementations of the Particle Flow Algorithm exist :
PandoraPFA is currently the one that gives the best performances.The clustering algorithm is a cone-based approach. Also runs multiple clustering algorithm to optimizethe track-cluster association.Designed and tuned with 3x3cm2 Analog HCAL.Adopted by ILC community for physics analysis !
ArborPFA which is currently under development.The clustering algorithm is tree-based approach. No use of energy information within the algorithm forthe time being, only topology.Designed for any calorimeter.Currently tuned for 1x1cm2 cell size without any energy readout dependency (AHCAL/DHCAL/SDHCAL).Still under development
IowaPFA developped for SiD design.Gives similar results to PandoraPFA on physics analysis
R. Eté (UCBL - IPNL) Arbor PFA December 3, 2014 3 / 15
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The Arbor algorithm
The Arbor algorithmPrinciple
Clustering algorithm that uses connectors between calo hits.Build clusters with an oriented tree topology.
Key point : The reconstruction follows the underlying physics principle of the shower !
R. Eté (UCBL - IPNL) Arbor PFA December 3, 2014 4 / 15
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The Arbor algorithm
The Arbor algorithmPrinciple
Clustering algorithm that uses connectors between calo hits.Build clusters with an oriented tree topology.
Key point : The reconstruction follows the underlying physics principle of the shower !
R. Eté (UCBL - IPNL) Arbor PFA December 3, 2014 4 / 15
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The Arbor algorithm
The Arbor algorithmPrinciple
Clustering algorithm that uses connectors between calo hits.Build clusters with an oriented tree topology.
Key point : The reconstruction follows the underlying physics principle of the shower !
R. Eté (UCBL - IPNL) Arbor PFA December 3, 2014 4 / 15
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The Arbor algorithm
The Arbor algorithmPrinciple
Clustering algorithm that uses connectors between calo hits.Build clusters with an oriented tree topology.
Key point : The reconstruction follows the underlying physics principle of the shower !
R. Eté (UCBL - IPNL) Arbor PFA December 3, 2014 4 / 15
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The Arbor algorithm
The Arbor algorithmArbor algorithms
Object Creation
Isolation TaggingConnector ClusteringAlgorithm
Connector IterationAlgorithms
Connector Seeding 1Connector Cleaning 1Connector Seeding 2Connector Cleaning 2
Tree BuildingAssociation Algorithms
Topological TrackAssociationNeutral Tree MergingSmall Neutral Merging
Pfo Creation
R. Eté (UCBL - IPNL) Arbor PFA December 3, 2014 5 / 15
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The Arbor algorithm
The Arbor algorithmArbor algorithms
Object Creation
Isolation TaggingConnector ClusteringAlgorithm
Connector IterationAlgorithms
Connector Seeding 1Connector Cleaning 1Connector Seeding 2Connector Cleaning 2
Tree BuildingAssociation Algorithms
Topological TrackAssociationNeutral Tree MergingSmall Neutral Merging
Pfo Creation
Intra-layer clusteringGroup of mip hits and group of isolated hits→ ObjectsOther hits (shower core, larger structures)→ ObjectsEffects in clustering algorithm :
decrease multiplicity effects
decrease processing time (Nhit > Nobj )
Entering
Particle
R. Eté (UCBL - IPNL) Arbor PFA December 3, 2014 5 / 15
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The Arbor algorithm
The Arbor algorithmArbor algorithms
Object Creation
Isolation TaggingConnector ClusteringAlgorithm
Connector IterationAlgorithms
Connector Seeding 1Connector Cleaning 1Connector Seeding 2Connector Cleaning 2
Tree BuildingAssociation Algorithms
Topological TrackAssociationNeutral Tree MergingSmall Neutral Merging
Pfo Creation
Tag isolated objects that are not part of :
the shower core
mips
Special treatment in clustering part ...
Entering
Particle
R. Eté (UCBL - IPNL) Arbor PFA December 3, 2014 5 / 15
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The Arbor algorithm
The Arbor algorithmArbor algorithms
Object Creation
Isolation TaggingConnector ClusteringAlgorithm
Connector IterationAlgorithms
Connector Seeding 1Connector Cleaning 1Connector Seeding 2Connector Cleaning 2
Tree BuildingAssociation Algorithms
Topological TrackAssociationNeutral Tree MergingSmall Neutral Merging
Pfo Creation
R. Eté (UCBL - IPNL) Arbor PFA December 3, 2014 5 / 15
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The Arbor algorithm
The Arbor algorithmArbor algorithms
Object Creation
Isolation TaggingConnector ClusteringAlgorithm
Connector IterationAlgorithms
Connector Seeding 1Connector Cleaning 1Connector Seeding 2Connector Cleaning 2
Tree BuildingAssociation Algorithms
Topological TrackAssociationNeutral Tree MergingSmall Neutral Merging
Pfo Creation
Look in the forward direction at a maxi-mum distance of ∆max and createmany connections with other objects.
Δmax
FIGURE : Single object connection
Entering
Particle
FIGURE : Calorimeter view after seeding connectors
R. Eté (UCBL - IPNL) Arbor PFA December 3, 2014 5 / 15
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The Arbor algorithm
The Arbor algorithmArbor algorithms
Object Creation
Isolation TaggingConnector ClusteringAlgorithm
Connector IterationAlgorithms
Connector Seeding 1Connector Cleaning 1Connector Seeding 2Connector Cleaning 2
Tree BuildingAssociation Algorithms
Topological TrackAssociationNeutral Tree MergingSmall Neutral Merging
Pfo Creation
Reference direction :
~Cref = wfwd .∑f~cf −wbck .∑
b~cb (1)
Kappa order parameter :
κ =(
θ2π
)pθ.(
∆∆max
)p∆(2)
Entering
Particle
FIGURE : Calorimeter view after first connector cleaning
R. Eté (UCBL - IPNL) Arbor PFA December 3, 2014 5 / 15
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The Arbor algorithm
The Arbor algorithmArbor algorithms
Object Creation
Isolation TaggingConnector ClusteringAlgorithm
Connector IterationAlgorithms
Connector Seeding 1Connector Cleaning 1Connector Seeding 2Connector Cleaning 2
Tree BuildingAssociation Algorithms
Topological TrackAssociationNeutral Tree MergingSmall Neutral Merging
Pfo Creation
Starts from cleaned connections.Look in a forward/backward coneof length ∆max ,c of half angle θcand create many connections
θc
Δmax, c
FIGURE : Alignment procedure
Entering
Particle
FIGURE : Calorimeter view after the second seeding step
R. Eté (UCBL - IPNL) Arbor PFA December 3, 2014 5 / 15
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The Arbor algorithm
The Arbor algorithmArbor algorithms
Object Creation
Isolation TaggingConnector ClusteringAlgorithm
Connector IterationAlgorithms
Connector Seeding 1Connector Cleaning 1Connector Seeding 2Connector Cleaning 2
Tree BuildingAssociation Algorithms
Topological TrackAssociationNeutral Tree MergingSmall Neutral Merging
Pfo Creation
Same cleaning as before ...
Entering
Particle
FIGURE : Calorimeter view of the final tree structure
R. Eté (UCBL - IPNL) Arbor PFA December 3, 2014 5 / 15
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The Arbor algorithm
The Arbor algorithmArbor algorithms
Object Creation
Isolation TaggingConnector ClusteringAlgorithm
Connector IterationAlgorithms
Connector Seeding 1Connector Cleaning 1Connector Seeding 2Connector Cleaning 2
Tree BuildingAssociation Algorithms
Topological TrackAssociationNeutral Tree MergingSmall Neutral Merging
Pfo Creation
Entering
Particle
FIGURE : Calorimeter view of the final tree structure
R. Eté (UCBL - IPNL) Arbor PFA December 3, 2014 5 / 15
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The Arbor algorithm
The Arbor algorithmArbor algorithms
Object Creation
Isolation TaggingConnector ClusteringAlgorithm
Connector IterationAlgorithms
Connector Seeding 1Connector Cleaning 1Connector Seeding 2Connector Cleaning 2
Tree BuildingAssociation Algorithms
Topological TrackAssociationNeutral Tree MergingSmall Neutral Merging
Pfo Creation
Project the track entering point on the calorimeter front face and find alltree starting points (seeds) within a distance ∆track . Create an associa-tion between the cluster (tree) and the track.
Δ track
FIGURE : Topological track association view
R. Eté (UCBL - IPNL) Arbor PFA December 3, 2014 5 / 15
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The Arbor algorithm
The Arbor algorithmArbor algorithms
Object Creation
Isolation TaggingConnector ClusteringAlgorithm
Connector IterationAlgorithms
Connector Seeding 1Connector Cleaning 1Connector Seeding 2Connector Cleaning 2
Tree BuildingAssociation Algorithms
Topological TrackAssociationNeutral Tree MergingSmall Neutral Merging
Pfo Creation
Dedicated algorithm for neutral particles.Merge trees in a single one when their seeds are close to each others
within the same layer.
FIGURE : Neutral tree merging view
R. Eté (UCBL - IPNL) Arbor PFA December 3, 2014 5 / 15
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The Arbor algorithm
The Arbor algorithmArbor algorithms
Object Creation
Isolation TaggingConnector ClusteringAlgorithm
Connector IterationAlgorithms
Connector Seeding 1Connector Cleaning 1Connector Seeding 2Connector Cleaning 2
Tree BuildingAssociation Algorithms
Topological TrackAssociationNeutral Tree MergingSmall Neutral Merging
Pfo Creation
Merging of small structures into bigger ones (closest barycenter)
Entering
Particle
FIGURE : Small neutral fragment merging view
R. Eté (UCBL - IPNL) Arbor PFA December 3, 2014 5 / 15
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The Arbor algorithm
The Arbor algorithmArbor algorithms
Object Creation
Isolation TaggingConnector ClusteringAlgorithm
Connector IterationAlgorithms
Connector Seeding 1Connector Cleaning 1Connector Seeding 2Connector Cleaning 2
Tree BuildingAssociation Algorithms
Topological TrackAssociationNeutral Tree MergingSmall Neutral Merging
Pfo Creation
Create Particle Flow Objects from reconstructed trees and tracks.
NEUTRALPARTICLE
CHARGEDPARTICLE
FIGURE : Final output Pfos of ArborPFA
R. Eté (UCBL - IPNL) Arbor PFA December 3, 2014 5 / 15
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Pfo analysis
Pfo analysisData set
Using Semi-Digital HCAL (3 thresholds) data set of pi− with
Standalone Geant4 simulation (A. Steen)
Test beam data (AUG-SEPT 2012, CERN SPS)
Selection cuts applied on both TB and simulation data (see CAN-037).
Studying :
Single particle reconstruction from 10 up to 80 GeV :EfficiencyReconstructed energyNumber of pfos
Overlaid particles for 10 and 30 GeV neutral pi and 30 GeV charged pi− and for a separation distancefrom 5 up to 30 cm
EfficiencyPurityReconstructed energiesNumber of Pfos
Running ArborPFA (v01-03-00) and PandoraPFA (v00-12) with only a HCAL (SDHCAL) and a set a generatedtracks in front of the calorimeter for charged particles
R. Eté (UCBL - IPNL) Arbor PFA December 3, 2014 6 / 15
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Pfo analysis
Pfo analysisSingle particle study
E [GeV]
10 20 30 40 50 60 70 80
pfo
#N
0
0.5
1
1.5
2
2.5
3
PandoraPFA - Simulation
PandoraPFA - Test Beam
ArborPFA - Simulation
ArborPFA - Test Beam
PRELIMINARY
E [GeV]
10 20 30 40 50 60 70 80
Effi
cien
cy
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
PandoraPFA - Simulation
PandoraPFA - Test Beam
ArborPFA - Simulation
ArborPFA - Test Beam
PRELIMINARY
E [GeV]
10 20 30 40 50 60 70 80
Rec
onst
ruct
ed e
nerg
y
0
10
20
30
40
50
60
70
80
90
PandoraPFA - Simulation
PandoraPFA - Test Beam
ArborPFA - Simulation
ArborPFA - Test Beam
PRELIMINARY
Less splitting of single showers for ArborPFA.
But the efficiency and the reconstructed energy shows similar performance.
R. Eté (UCBL - IPNL) Arbor PFA December 3, 2014 7 / 15
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Pfo analysis
Pfo analysisOverlay study. 10 GeV neutral pi + 10 GeV charged pi-
Distance between showers [cm]
5 10 15 20 25 30
pfo
#N
0
0.5
1
1.5
2
2.5
3
PRELIMINARY
ArborPFA - Simulation
PandoraPFA - Simulation
ArborPFA - Test Beam
PandoraPFA - Test Beam
Distance between showers [cm]
5 10 15 20 25 30
Cha
rged
par
ticle
pur
ity
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
PRELIMINARY
ArborPFA - Simulation
PandoraPFA - Simulation
ArborPFA - Test Beam
PandoraPFA - Test Beam
Distance between showers [cm]
5 10 15 20 25 30
Cha
rged
par
ticle
effi
cien
cy
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
PRELIMINARY
ArborPFA - Simulation
PandoraPFA - Simulation
ArborPFA - Test Beam
PandoraPFA - Test Beam
Distance between showers [cm]
5 10 15 20 25 30
Neu
tral
par
ticle
pur
ity
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
PRELIMINARY
ArborPFA - Simulation
PandoraPFA - Simulation
ArborPFA - Test Beam
PandoraPFA - Test Beam
Distance between showers [cm]
5 10 15 20 25 30
Neu
tral
par
ticle
effi
cien
cy
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
PRELIMINARY
ArborPFA - Simulation
PandoraPFA - Simulation
ArborPFA - Test Beam
PandoraPFA - Test Beam
R. Eté (UCBL - IPNL) Arbor PFA December 3, 2014 8 / 15
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Pfo analysis
Pfo analysisOverlay study. 10 GeV neutral pi + 10 GeV charged pi-
Distance between showers [cm]
5 10 15 20 25 30
Mea
n of
rec
onst
ruct
ed c
harg
ed e
nerg
y [G
eV]
0
2
4
6
8
10
12
14
16
18
20
PRELIMINARY
ArborPFA - Simulation
PandoraPFA - Simulation
ArborPFA - Test Beam
PandoraPFA - Test Beam
Distance between showers [cm]
5 10 15 20 25 30
Mea
n of
rec
onst
ruct
ed n
eutr
al e
nerg
y [G
eV]
0
2
4
6
8
10
12
14
16
18
20
PRELIMINARY
ArborPFA - Simulation
PandoraPFA - Simulation
ArborPFA - Test Beam
PandoraPFA - Test Beam
Distance between showers [cm]
5 10 15 20 25 30
/E o
f rec
onst
ruct
ed c
harg
ed e
nerg
yEσ
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
PRELIMINARY
ArborPFA - Simulation
PandoraPFA - Simulation
ArborPFA - Test Beam
PandoraPFA - Test Beam
Distance between showers [cm]
5 10 15 20 25 30
/E o
f rec
onst
ruct
ed n
eutr
al e
nerg
yEσ
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
PRELIMINARY
ArborPFA - Simulation
PandoraPFA - Simulation
ArborPFA - Test Beam
PandoraPFA - Test Beam
R. Eté (UCBL - IPNL) Arbor PFA December 3, 2014 9 / 15
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Pfo analysis
Pfo analysisOverlay study. 10 GeV neutral pi + 30 GeV charged pi-
Distance between showers [cm]
5 10 15 20 25 30
pfo
#N
0
0.5
1
1.5
2
2.5
3
PRELIMINARY
ArborPFA - Simulation
PandoraPFA - Simulation
ArborPFA - Test Beam
PandoraPFA - Test Beam
Distance between showers [cm]
5 10 15 20 25 30
Cha
rged
par
ticle
pur
ity
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
PRELIMINARY
ArborPFA - Simulation
PandoraPFA - Simulation
ArborPFA - Test Beam
PandoraPFA - Test Beam
Distance between showers [cm]
5 10 15 20 25 30
Cha
rged
par
ticle
effi
cien
cy
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
PRELIMINARY
ArborPFA - Simulation
PandoraPFA - Simulation
ArborPFA - Test Beam
PandoraPFA - Test Beam
Distance between showers [cm]
5 10 15 20 25 30
Neu
tral
par
ticle
pur
ity
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
PRELIMINARY
ArborPFA - Simulation
PandoraPFA - Simulation
ArborPFA - Test Beam
PandoraPFA - Test Beam
Distance between showers [cm]
5 10 15 20 25 30
Neu
tral
par
ticle
effi
cien
cy
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
PRELIMINARY
ArborPFA - Simulation
PandoraPFA - Simulation
ArborPFA - Test Beam
PandoraPFA - Test Beam
R. Eté (UCBL - IPNL) Arbor PFA December 3, 2014 10 / 15
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Pfo analysis
Pfo analysisOverlay study. 10 GeV neutral pi + 30 GeV charged pi-
Distance between showers [cm]
5 10 15 20 25 30
Mea
n of
rec
onst
ruct
ed c
harg
ed e
nerg
y [G
eV]
20
22
24
26
28
30
32
34
36
38
40
PRELIMINARY
ArborPFA - Simulation
PandoraPFA - Simulation
ArborPFA - Test Beam
PandoraPFA - Test Beam
Distance between showers [cm]
5 10 15 20 25 30
Mea
n of
rec
onst
ruct
ed n
eutr
al e
nerg
y [G
eV]
-20
-15
-10
-5
0
5
10
15
20
PRELIMINARY
ArborPFA - Simulation
PandoraPFA - Simulation
ArborPFA - Test Beam
PandoraPFA - Test Beam
Distance between showers [cm]
5 10 15 20 25 30
/E o
f rec
onst
ruct
ed c
harg
ed e
nerg
yEσ
0
0.05
0.1
0.15
0.2
0.25
0.3
0.35
0.4
0.45
0.5
PRELIMINARY
ArborPFA - Simulation
PandoraPFA - Simulation
ArborPFA - Test Beam
PandoraPFA - Test Beam
Distance between showers [cm]
5 10 15 20 25 30
/E o
f rec
onst
ruct
ed n
eutr
al e
nerg
yEσ
0
0.2
0.4
0.6
0.8
1
1.2
1.4
1.6
PRELIMINARY
ArborPFA - Simulation
PandoraPFA - Simulation
ArborPFA - Test Beam
PandoraPFA - Test Beam
R. Eté (UCBL - IPNL) Arbor PFA December 3, 2014 11 / 15
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Pfo analysis
Conclusions and plans
Conclusions :
ArborPFA and PandoraPFA have both good results for single particle reconstruction in terms of efficiencyand reconstructed energy.
The overlay shower study shows very different behaviors for the 2 algorithms but are able to recovercorrectly the shower energy until 10 cm separation distance.
PandoraPFA shows for both single particle and overlaid showers studies a high number of unphysicalPFOs ...
Plans :
Run PFAs on new test beam data (currently running at CERN SPS ,)Prepare a working version for ILD studies and extract general PFA performances plots.
Include photon and electron clustering in the ECAL (GARLIC ?)Manage hadronic shower part in the ECAL.Implement a dedicated algorithm for ECAL-HCAL gap region (cluster connection)Muon clustering (Arbor standalone ? Pandora ? New tracking tools ?)
R. Eté (UCBL - IPNL) Arbor PFA December 3, 2014 12 / 15
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Pfo analysis
Thank you for your attention !
R. Eté (UCBL - IPNL) Arbor PFA December 3, 2014 13 / 15
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Backup
Event display
Neutral π of 30 GeV overlaid with a charged π− of 50 GeV at 5 cm distance.
R. Eté (UCBL - IPNL) Arbor PFA December 3, 2014 14 / 15
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Backup
Shower structure
Neutral π of 30 GeV overlaid with a charged π− of 50 GeV at 10 cm distance.
R. Eté (UCBL - IPNL) Arbor PFA December 3, 2014 15 / 15
Particle Flow CalorimetryThe Arbor algorithmPfo analysis