Newer
Older
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
from Gaudi.Configuration import *
from Configurables import ApplicationMgr, EICDataSvc, PodioOutput, GeoSvc
from GaudiKernel import SystemOfUnits as units
from GaudiKernel.SystemOfUnits import MeV, GeV, mm, cm, mrad
detector_name = "topside"
if "JUGGLER_DETECTOR" in os.environ :
detector_name = str(os.environ["JUGGLER_DETECTOR"])
# todo add checks
input_sim_file = str(os.environ["JUGGLER_SIM_FILE"])
output_rec_file = str(os.environ["JUGGLER_REC_FILE"])
n_events = str(os.environ["JUGGLER_N_EVENTS"])
detector_path = detector_name
if "DETECTOR_PATH" in os.environ :
detector_path = str(os.environ["DETECTOR_PATH"])
# get sampling fractions from system environment variable, 1.0 by default
ci_ecal_sf = float(os.environ.get("CI_ECAL_SAMP_FRAC", 0.253))
cb_ecal_sf = float(os.environ.get("CB_ECAL_SAMP_FRAC", 0.01324))
cb_hcal_sf = float(os.environ.get("CB_HCAL_SAMP_FRAC", 0.038))
ci_hcal_sf = float(os.environ.get("CI_HCAL_SAMP_FRAC", 0.025))
ce_hcal_sf = float(os.environ.get("CE_HCAL_SAMP_FRAC", 0.025))
scifi_barrel_sf = float(os.environ.get("CB_EMCAL_SCFI_SAMP_FRAC",0.0938))
geo_service = GeoSvc("GeoSvc",
detectors=["{}/{}.xml".format(detector_path, detector_name)])
podioevent = EICDataSvc("EventDataSvc", inputs=[input_sim_file], OutputLevel=DEBUG)
from Configurables import PodioInput
from Configurables import Jug__Base__InputCopier_dd4pod__Geant4ParticleCollection_dd4pod__Geant4ParticleCollection_ as MCCopier
from Configurables import Jug__Base__InputCopier_dd4pod__CalorimeterHitCollection_dd4pod__CalorimeterHitCollection_ as CalCopier
from Configurables import Jug__Base__InputCopier_dd4pod__TrackerHitCollection_dd4pod__TrackerHitCollection_ as TrkCopier
from Configurables import Jug__Digi__SiliconTrackerDigi as TrackerDigi
from Configurables import Jug__Base__MC2DummyParticle as MC2DummyParticle
from Configurables import Jug__Reco__TrackerHitReconstruction as TrackerHitReconstruction
from Configurables import Jug__Reco__TrackerSourceLinker as TrackerSourceLinker
from Configurables import Jug__Reco__Tracker2SourceLinker as Tracker2SourceLinker
#from Configurables import Jug__Reco__TrackerSourcesLinker as TrackerSourcesLinker
#from Configurables import Jug__Reco__TrackingHitsSourceLinker as TrackingHitsSourceLinker
from Configurables import Jug__Reco__TrackParamTruthInit as TrackParamTruthInit
from Configurables import Jug__Reco__TrackParamClusterInit as TrackParamClusterInit
from Configurables import Jug__Reco__TrackParamVertexClusterInit as TrackParamVertexClusterInit
from Configurables import Jug__Reco__TrackFindingAlgorithm as TrackFindingAlgorithm
from Configurables import Jug__Reco__ParticlesFromTrackFit as ParticlesFromTrackFit
from Configurables import Jug__Digi__EMCalorimeterDigi as EMCalorimeterDigi
from Configurables import Jug__Digi__CalorimeterHitDigi as CalHitDigi
from Configurables import Jug__Reco__EMCalReconstruction as EMCalReconstruction
from Configurables import Jug__Reco__CalorimeterHitReco as CalHitReco
from Configurables import Jug__Reco__CalorimeterIslandCluster as IslandCluster
from Configurables import Jug__Reco__ClusterRecoCoG as RecoCoG
from Configurables import Jug__Reco__CalorimeterHitsMerger as CalHitsMerger
from Configurables import Jug__Reco__ImagingPixelReco as ImCalPixelReco
from Configurables import Jug__Reco__ImagingTopoCluster as ImagingCluster
from Configurables import Jug__Reco__ImagingClusterReco as ImagingClusterReco
podioinput = PodioInput("PodioReader",
collections=["mcparticles",
"TrackerEndcapHits","TrackerBarrelHits",
"VertexBarrelHits","VertexEndcapHits",
"EcalEndcapNHits", "EcalEndcapPHits",
"EcalBarrelHits", "EcalBarrelScFiHits",
"HcalEndcapPHits", "HcalEndcapNHits",
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
"HcalBarrelHits",
])#, OutputLevel=DEBUG)
dummy = MC2DummyParticle("MC2Dummy",
inputCollection="mcparticles",
outputCollection="DummyReconstructedParticles",
smearing = 0.1)
## copiers to get around input --> output copy bug. Note the "2" appended to the output collection.
copier = MCCopier("MCCopier",
inputCollection="mcparticles",
outputCollection="mcparticles2")
trkcopier = TrkCopier("TrkCopier",
inputCollection="TrackerBarrelHits",
outputCollection="TrackerBarrelHits2")
algorithms = [podioinput,dummy, copier, trkcopier]
# Tracker and vertex digitization
trk_b_digi = TrackerDigi("trk_b_digi",
inputHitCollection="TrackerBarrelHits",
outputHitCollection="TrackerBarrelRawHits",
timeResolution=8)
algorithms.append(trk_b_digi)
trk_ec_digi = TrackerDigi("trk_ec_digi",
inputHitCollection="TrackerEndcapHits",
outputHitCollection="TrackerEndcapRawHits",
timeResolution=8)
algorithms.append(trk_ec_digi)
vtx_b_digi = TrackerDigi("vtx_b_digi",
inputHitCollection="VertexBarrelHits",
outputHitCollection="VertexBarrelRawHits",
timeResolution=8)
algorithms.append(vtx_b_digi)
vtx_ec_digi = TrackerDigi("vtx_ec_digi",
inputHitCollection="VertexEndcapHits",
outputHitCollection="VertexEndcapRawHits",
timeResolution=8)
algorithms.append(vtx_ec_digi)
# Tracker and vertex reconstruction
trk_b_reco = TrackerHitReconstruction("trk_b_reco",
inputHitCollection = trk_b_digi.outputHitCollection,
outputHitCollection="TrackerBarrelRecHits")
algorithms.append(trk_b_reco)
trk_ec_reco = TrackerHitReconstruction("trk_ec_reco",
inputHitCollection = trk_ec_digi.outputHitCollection,
outputHitCollection="TrackerEndcapRecHits")
algorithms.append(trk_ec_reco)
vtx_b_reco = TrackerHitReconstruction("vtx_b_reco",
inputHitCollection = vtx_b_digi.outputHitCollection,
outputHitCollection="VertexBarrelRecHits")
algorithms.append(vtx_b_reco)
vtx_ec_reco = TrackerHitReconstruction("vtx_ec_reco",
inputHitCollection = vtx_ec_digi.outputHitCollection,
outputHitCollection="VertexEndcapRecHits")
algorithms.append(vtx_ec_reco)
# Crystal Endcap Ecal
ce_ecal_daq = dict(
dynamicRangeADC=5.*GeV,
capacityADC=32768,
pedestalMean=400,
pedestalSigma=3)
ce_ecal_digi = CalHitDigi("ce_ecal_digi",
inputHitCollection="EcalEndcapNHits",
outputHitCollection="EcalEndcapNHitsDigi",
energyResolutions=[0., 0.02, 0.],
**ce_ecal_daq)
algorithms.append(ce_ecal_digi)
ce_ecal_reco = CalHitReco("ce_ecal_reco",
inputHitCollection=ce_ecal_digi.outputHitCollection,
outputHitCollection="EcalEndcapNHitsReco",
thresholdFactor=4, # 4 sigma cut on pedestal sigma
readoutClass="EcalEndcapNHits",
sectorField="sector",
**ce_ecal_daq)
algorithms.append(ce_ecal_reco)
ce_ecal_cl = IslandCluster("ce_ecal_cl",
# OutputLevel=DEBUG,
inputHitCollection=ce_ecal_reco.outputHitCollection,
outputProtoClusterCollection="EcalEndcapNProtoClusters",
splitCluster=False,
minClusterHitEdep=1.0*MeV, # discard low energy hits
minClusterCenterEdep=30*MeV,
sectorDist=5.0*cm,
dimScaledLocalDistXY=[1.8, 1.8]) # dimension scaled dist is good for hybrid sectors with different module size
algorithms.append(ce_ecal_cl)
ce_ecal_clreco = RecoCoG("ce_ecal_clreco",
inputHitCollection=ce_ecal_cl.inputHitCollection,
inputProtoClusterCollection=ce_ecal_cl.outputProtoClusterCollection,
outputClusterCollection="EcalEndcapNClusters",
samplingFraction=0.998, # this accounts for a small fraction of leakage
logWeightBase=4.6)
algorithms.append(ce_ecal_clreco)
# Endcap Sampling Ecal
ci_ecal_daq = dict(
dynamicRangeADC=50.*MeV,
capacityADC=32768,
pedestalMean=400,
pedestalSigma=10)
ci_ecal_digi = CalHitDigi("ci_ecal_digi",
inputHitCollection="EcalEndcapPHits",
outputHitCollection="EcalEndcapPHitsDigi",
**ci_ecal_daq)
algorithms.append(ci_ecal_digi)
ci_ecal_reco = CalHitReco("ci_ecal_reco",
inputHitCollection=ci_ecal_digi.outputHitCollection,
outputHitCollection="EcalEndcapPHitsReco",
thresholdFactor=5.0,
**ci_ecal_daq)
algorithms.append(ci_ecal_reco)
# merge hits in different layer (projection to local x-y plane)
ci_ecal_merger = CalHitsMerger("ci_ecal_merger",
# OutputLevel=DEBUG,
inputHitCollection=ci_ecal_reco.outputHitCollection,
outputHitCollection="EcalEndcapPHitsRecoXY",
fields=["layer", "slice"],
fieldRefNumbers=[1, 0],
readoutClass="EcalEndcapPHits")
algorithms.append(ci_ecal_merger)
ci_ecal_cl = IslandCluster("ci_ecal_cl",
# OutputLevel=DEBUG,
inputHitCollection=ci_ecal_merger.outputHitCollection,
outputProtoClusterCollection="EcalEndcapProtoClusters",
splitCluster=False,
minClusterCenterEdep=10.*MeV,
localDistXY=[10*mm, 10*mm])
algorithms.append(ci_ecal_cl)
ci_ecal_clreco = RecoCoG("ci_ecal_clreco",
inputHitCollection=ci_ecal_cl.inputHitCollection,
inputProtoClusterCollection=ci_ecal_cl.outputProtoClusterCollection,
outputClusterCollection="EcalEndcapPClusters",
logWeightBase=6.2,
samplingFraction=ci_ecal_sf)
algorithms.append(ci_ecal_clreco)
# Central Barrel Ecal (Imaging Cal.)
cb_ecal_daq = dict(
dynamicRangeADC=3*MeV,
capacityADC=8192,
pedestalMean=400,
pedestalSigma=20) # about 6 keV
cb_ecal_digi = CalHitDigi("cb_ecal_digi",
inputHitCollection="EcalBarrelHits",
outputHitCollection="EcalBarrelHitsDigi",
energyResolutions=[0., 0.02, 0.], # 2% flat resolution
**cb_ecal_daq)
algorithms.append(cb_ecal_digi)
cb_ecal_reco = ImCalPixelReco("cb_ecal_reco",
inputHitCollection=cb_ecal_digi.outputHitCollection,
outputHitCollection="EcalBarrelHitsReco",
thresholdFactor=3, # about 20 keV
readoutClass="EcalBarrelHits", # readout class
layerField="layer", # field to get layer id
sectorField="module", # field to get sector id
**cb_ecal_daq)
algorithms.append(cb_ecal_reco)
cb_ecal_cl = ImagingCluster("cb_ecal_cl",
inputHitCollection=cb_ecal_reco.outputHitCollection,
outputProtoClusterCollection="EcalBarrelProtoClusters",
localDistXY=[2.*mm, 2*mm], # same layer
layerDistEtaPhi=[10*mrad, 10*mrad], # adjacent layer
neighbourLayersRange=2, # id diff for adjacent layer
sectorDist=3.*cm) # different sector
algorithms.append(cb_ecal_cl)
cb_ecal_clreco = ImagingClusterReco("cb_ecal_clreco",
samplingFraction=cb_ecal_sf,
inputHitCollection=cb_ecal_cl.inputHitCollection,
inputProtoClusterCollection=cb_ecal_cl.outputProtoClusterCollection,
outputClusterCollection="EcalBarrelClusters",
outputLayerCollection="EcalBarrelLayers")
algorithms.append(cb_ecal_clreco)
#Central ECAL SciFi
# use the same daq_setting for digi/reco pair
scfi_barrel_daq = dict(
dynamicRangeADC=50.*MeV,
capacityADC=32768,
pedestalMean=400,
pedestalSigma=10)
scfi_barrel_digi = CalHitDigi("scfi_barrel_digi",
inputHitCollection="EcalBarrelScFiHits",
outputHitCollection="EcalBarrelScFiHitsDigi",
**scfi_barrel_daq)
algorithms.append(scfi_barrel_digi)
scfi_barrel_reco = CalHitReco("scfi_barrel_reco",
inputHitCollection=scfi_barrel_digi.outputHitCollection,
outputHitCollection="EcalBarrelScFiHitsReco",
thresholdFactor=5.0,
readoutClass="EcalBarrelScFiHits",
layerField="layer",
sectorField="module",
localDetFields=["system", "module"], # use local coordinates in each module (stave)
**scfi_barrel_daq)
algorithms.append(scfi_barrel_reco)
# merge hits in different layer (projection to local x-y plane)
scfi_barrel_merger = CalHitsMerger("scfi_barrel_merger",
# OutputLevel=DEBUG,
inputHitCollection=scfi_barrel_reco.outputHitCollection,
outputHitCollection="EcalBarrelScFiGridReco",
fields=["fiber"],
fieldRefNumbers=[1],
readoutClass="EcalBarrelScFiHits")
algorithms.append(scfi_barrel_merger)
scfi_barrel_cl = IslandCluster("scfi_barrel_cl",
# OutputLevel=DEBUG,
inputHitCollection=scfi_barrel_merger.outputHitCollection,
outputProtoClusterCollection="EcalBarrelScFiProtoClusters",
splitCluster=False,
minClusterCenterEdep=10.*MeV,
localDistXZ=[30*mm, 30*mm])
algorithms.append(scfi_barrel_cl)
scfi_barrel_clreco = RecoCoG("scfi_barrel_clreco",
inputHitCollection=scfi_barrel_cl.inputHitCollection,
inputProtoClusterCollection=scfi_barrel_cl.outputProtoClusterCollection,
outputClusterCollection="EcalBarrelScFiClusters",
outputInfoCollection="EcalBarrelScFiClustersInfo",
logWeightBase=6.2,
samplingFraction= scifi_barrel_sf)
algorithms.append(scfi_barrel_clreco)
# Central Barrel Hcal
cb_hcal_daq = dict(
dynamicRangeADC=50.*MeV,
capacityADC=32768,
pedestalMean=400,
pedestalSigma=10)
cb_hcal_digi = CalHitDigi("cb_hcal_digi",
inputHitCollection="HcalBarrelHits",
outputHitCollection="HcalBarrelHitsDigi",
**cb_hcal_daq)
algorithms.append(cb_hcal_digi)
cb_hcal_reco = CalHitReco("cb_hcal_reco",
inputHitCollection=cb_hcal_digi.outputHitCollection,
outputHitCollection="HcalBarrelHitsReco",
thresholdFactor=5.0,
readoutClass="HcalBarrelHits",
layerField="layer",
sectorField="module",
**cb_hcal_daq)
algorithms.append(cb_hcal_reco)
cb_hcal_merger = CalHitsMerger("cb_hcal_merger",
inputHitCollection=cb_hcal_reco.outputHitCollection,
outputHitCollection="HcalBarrelHitsRecoXY",
readoutClass="HcalBarrelHits",
fields=["layer", "slice"],
fieldRefNumbers=[1, 0])
algorithms.append(cb_hcal_merger)
cb_hcal_cl = IslandCluster("cb_hcal_cl",
inputHitCollection=cb_hcal_merger.outputHitCollection,
outputProtoClusterCollection="HcalBarrelProtoClusters",
splitCluster=False,
minClusterCenterEdep=30.*MeV,
localDistXY=[15.*cm, 15.*cm])
algorithms.append(cb_hcal_cl)
cb_hcal_clreco = RecoCoG("cb_hcal_clreco",
inputHitCollection=cb_hcal_cl.inputHitCollection,
inputProtoClusterCollection=cb_hcal_cl.outputProtoClusterCollection,
outputClusterCollection="HcalBarrelClusters",
logWeightBase=6.2,
samplingFraction=cb_hcal_sf)
algorithms.append(cb_hcal_clreco)
# Hcal Hadron Endcap
ci_hcal_daq = dict(
dynamicRangeADC=50.*MeV,
capacityADC=32768,
pedestalMean=400,
pedestalSigma=10)
ci_hcal_digi = CalHitDigi("ci_hcal_digi",
inputHitCollection="HcalEndcapPHits",
outputHitCollection="HcalEndcapPHitsDigi",
**ci_hcal_daq)
algorithms.append(ci_hcal_digi)
ci_hcal_reco = CalHitReco("ci_hcal_reco",
inputHitCollection=ci_hcal_digi.outputHitCollection,
outputHitCollection="HcalEndcapPHitsReco",
thresholdFactor=5.0,
**ci_hcal_daq)
algorithms.append(ci_hcal_reco)
ci_hcal_merger = CalHitsMerger("ci_hcal_merger",
inputHitCollection=ci_hcal_reco.outputHitCollection,
outputHitCollection="HcalEndcapPHitsRecoXY",
readoutClass="HcalEndcapPHits",
fields=["layer", "slice"],
fieldRefNumbers=[1, 0])
algorithms.append(ci_hcal_merger)
ci_hcal_cl = IslandCluster("ci_hcal_cl",
inputHitCollection=ci_hcal_merger.outputHitCollection,
outputProtoClusterCollection="HcalEndcapPProtoClusters",
splitCluster=False,
minClusterCenterEdep=30.*MeV,
localDistXY=[15.*cm, 15.*cm])
algorithms.append(ci_hcal_cl)
ci_hcal_clreco = RecoCoG("ci_hcal_clreco",
inputHitCollection=ci_hcal_cl.inputHitCollection,
inputProtoClusterCollection=ci_hcal_cl.outputProtoClusterCollection,
outputClusterCollection="HcalEndcapPClusters",
outputInfoCollection="HcalEndcapPClustersInfo",
logWeightBase=6.2,
samplingFraction=ci_hcal_sf)
algorithms.append(ci_hcal_clreco)
# Hcal Electron Endcap
ce_hcal_daq = dict(
dynamicRangeADC=50.*MeV,
capacityADC=32768,
pedestalMean=400,
pedestalSigma=10)
ce_hcal_digi = CalHitDigi("ce_hcal_digi",
inputHitCollection="HcalEndcapNHits",
outputHitCollection="HcalEndcapNHitsDigi",
**ce_hcal_daq)
algorithms.append(ce_hcal_digi)
ce_hcal_reco = CalHitReco("ce_hcal_reco",
inputHitCollection=ce_hcal_digi.outputHitCollection,
outputHitCollection="HcalEndcapNHitsReco",
thresholdFactor=5.0,
**ce_hcal_daq)
algorithms.append(ce_hcal_reco)
ce_hcal_merger = CalHitsMerger("ce_hcal_merger",
inputHitCollection=ce_hcal_reco.outputHitCollection,
outputHitCollection="HcalEndcapNHitsRecoXY",
readoutClass="HcalEndcapNHits",
fields=["layer", "slice"],
fieldRefNumbers=[1, 0])
algorithms.append(ce_hcal_merger)
ce_hcal_cl = IslandCluster("ce_hcal_cl",
inputHitCollection=ce_hcal_merger.outputHitCollection,
outputProtoClusterCollection="HcalEndcapNProtoClusters",
splitCluster=False,
minClusterCenterEdep=30.*MeV,
localDistXY=[15.*cm, 15.*cm])
algorithms.append(ce_hcal_cl)
ce_hcal_clreco = RecoCoG("ce_hcal_clreco",
inputHitCollection=ce_hcal_cl.inputHitCollection,
inputProtoClusterCollection=ce_hcal_cl.outputProtoClusterCollection,
outputClusterCollection="HcalEndcapNClusters",
outputInfoCollection="HcalEndcapNClustersInfo",
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
logWeightBase=6.2,
samplingFraction=ce_hcal_sf)
algorithms.append(ce_hcal_clreco)
# Track Source linker
sourcelinker = TrackerSourceLinker("trk_srclinker",
inputHitCollection="TrackerBarrelRecHits",
outputSourceLinks="BarrelTrackSourceLinks",
OutputLevel=DEBUG)
algorithms.append(sourcelinker)
trk_hits_srclnkr = Tracker2SourceLinker("trk_hits_srclnkr",
TrackerBarrelHits="TrackerBarrelRecHits",
TrackerEndcapHits="TrackerEndcapRecHits",
outputMeasurements="lnker2Measurements",
outputSourceLinks="lnker2Links",
allTrackerHits="linker2AllHits",
OutputLevel=DEBUG)
algorithms.append(trk_hits_srclnkr)
## Track param init
truth_trk_init = TrackParamTruthInit("truth_trk_init",
inputMCParticles="mcparticles",
outputInitialTrackParameters="InitTrackParams",
OutputLevel=DEBUG)
algorithms.append(truth_trk_init)
#clust_trk_init = TrackParamClusterInit("clust_trk_init",
# inputClusters="SimpleClusters",
# outputInitialTrackParameters="InitTrackParamsFromClusters",
# OutputLevel=DEBUG)
#algorithms.append(clust_trk_init)
#vtxcluster_trk_init = TrackParamVertexClusterInit("vtxcluster_trk_init",
# inputVertexHits="VertexBarrelRecHits",
# inputClusters="SimpleClusters",
# outputInitialTrackParameters="InitTrackParamsFromVtxClusters",
# maxHitRadius=40.0*units.mm,
# OutputLevel=DEBUG)
# Tracking algorithms
trk_find_alg = TrackFindingAlgorithm("trk_find_alg",
inputSourceLinks = sourcelinker.outputSourceLinks,
inputMeasurements = sourcelinker.outputMeasurements,
inputInitialTrackParameters= "InitTrackParams",#"InitTrackParamsFromClusters",
outputTrajectories="trajectories",
OutputLevel=DEBUG)
algorithms.append(trk_find_alg)
parts_from_fit = ParticlesFromTrackFit("parts_from_fit",
inputTrajectories="trajectories",
outputParticles="ReconstructedParticles",
outputTrackParameters="outputTrackParameters",
OutputLevel=DEBUG)
algorithms.append(parts_from_fit)
#trk_find_alg1 = TrackFindingAlgorithm("trk_find_alg1",
# inputSourceLinks = trk_hits_srclnkr.outputSourceLinks,
# inputMeasurements = trk_hits_srclnkr.outputMeasurements,
# inputInitialTrackParameters= "InitTrackParamsFromClusters",
# outputTrajectories="trajectories1",
# OutputLevel=DEBUG)
#parts_from_fit1 = ParticlesFromTrackFit("parts_from_fit1",
# inputTrajectories="trajectories1",
# outputParticles="ReconstructedParticles1",
# outputTrackParameters="outputTrackParameters1",
# OutputLevel=DEBUG)
#
#trk_find_alg2 = TrackFindingAlgorithm("trk_find_alg2",
# inputSourceLinks = trk_hits_srclnkr.outputSourceLinks,
# inputMeasurements = trk_hits_srclnkr.outputMeasurements,
# inputInitialTrackParameters= "InitTrackParams",#"InitTrackParamsFromClusters",
# #inputInitialTrackParameters= "InitTrackParamsFromVtxClusters",
# outputTrajectories="trajectories2",
# OutputLevel=DEBUG)
#parts_from_fit2 = ParticlesFromTrackFit("parts_from_fit2",
# inputTrajectories="trajectories2",
# outputParticles="ReconstructedParticles2",
# outputTrackParameters="outputTrackParameters2",
# OutputLevel=DEBUG)
#types = []
## this printout is useful to check that the type information is passed to python correctly
#print("---------------------------------------\n")
#print("---\n# List of input and output types by class")
#for configurable in sorted([ PodioInput, EICDataSvc, PodioOutput,
# TrackerHitReconstruction,ExampleCaloDigi,
# UFSDTrackerDigi, TrackerSourceLinker,
# PodioOutput],
# key=lambda c: c.getType()):
# print("\"{}\":".format(configurable.getType()))
# props = configurable.getDefaultProperties()
# for propname, prop in sorted(props.items()):
# print(" prop name: {}".format(propname))
# if isinstance(prop, DataHandleBase):
# types.append(prop.type())
# print(" {}: \"{}\"".format(propname, prop.type()))
#print("---")
out = PodioOutput("out", filename=output_rec_file)
out.outputCommands = ["keep *",
"drop BarrelTrackSourceLinks",
"drop InitTrackParams",
"drop trajectories",
"drop outputSourceLinks",
"drop outputInitialTrackParameters",
"drop mcparticles"
]
algorithms.append(out)
ApplicationMgr(
TopAlg = algorithms,
EvtSel = 'NONE',
EvtMax = n_events,
ExtSvc = [podioevent,geo_service],
OutputLevel=DEBUG
)