reconstruction.py

)
algorithms.append(mpgd_b_reco)

input_tracking_hits = [
    str(trk_b_reco.outputHitCollection),
    str(trk_ec_reco.outputHitCollection),
    str(vtx_b_reco.outputHitCollection),
    str(mpgd_b_reco.outputHitCollection),
]

trk_hit_col = TrackingHitsCollector(
    "trk_hit_col",
    inputTrackingHits=input_tracking_hits,
    trackingHits="trackingHits",
)
algorithms.append(trk_hit_col)

# Hit Source linker
sourcelinker = TrackerSourceLinker(
    "trk_srcslnkr",
    inputHitCollection=trk_hit_col.trackingHits,
    outputSourceLinks="TrackSourceLinks",
    outputMeasurements="TrackMeasurements",
)
algorithms.append(sourcelinker)

## Track param init
truth_trk_init = TrackParamTruthInit(
    "truth_trk_init",
    inputMCParticles="MCParticles",
    outputInitialTrackParameters="InitTrackParams",
)
algorithms.append(truth_trk_init)

# Tracking algorithms
trk_find_alg = CKFTracking(
    "trk_find_alg",
    inputSourceLinks=sourcelinker.outputSourceLinks,
    inputMeasurements=sourcelinker.outputMeasurements,
    inputInitialTrackParameters=truth_trk_init.outputInitialTrackParameters,
    outputTrajectories="trajectories",
    chi2CutOff=[50.0],
)
algorithms.append(trk_find_alg)

parts_from_fit = ParticlesFromTrackFit(
    "parts_from_fit",
    inputTrajectories=trk_find_alg.outputTrajectories,
    outputParticles="outputParticles",
    outputTrackParameters="outputTrackParameters",
)
algorithms.append(parts_from_fit)

# trajs_from_fit = TrajectoryFromTrackFit("trajs_from_fit",
#         inputTrajectories = trk_find_alg.outputTrajectories,
#         outputTrajectoryParameters = "outputTrajectoryParameters")
# algorithms.append(trajs_from_fit)

# Event building
parts_with_truth_pid = ParticlesWithTruthPID(
    "parts_with_truth_pid",
    inputMCParticles="MCParticles",
    inputTrackParameters=parts_from_fit.outputTrackParameters,
    outputParticles="ReconstructedChargedParticles",
    outputAssociations="ReconstructedChargedParticlesAssoc",
)
algorithms.append(parts_with_truth_pid)

match_clusters = MatchClusters(
    "match_clusters",
    inputMCParticles="MCParticles",
    inputParticles=parts_with_truth_pid.outputParticles,
    inputParticlesAssoc=parts_with_truth_pid.outputAssociations,
    inputClusters=[
        str(ce_ecal_clmerger.outputClusters),
        str(barrel_clus_merger.outputClusters),
        str(ci_ecal_clmerger.outputClusters),
        str(ce_hcal_clreco.outputClusterCollection),
        str(cb_hcal_clreco.outputClusterCollection),
        str(ci_hcal_clreco.outputClusterCollection),
    ],
    inputClustersAssoc=[
        str(ce_ecal_clmerger.outputAssociations),
        str(barrel_clus_merger.outputAssociations),
        str(ci_ecal_clmerger.outputAssociations),
        str(ce_hcal_clreco.outputAssociations),
        str(cb_hcal_clreco.outputAssociations),
        str(ci_hcal_clreco.outputAssociations),
    ],
    outputParticles="ReconstructedParticles",
    outputParticlesAssoc="ReconstructedParticlesAssoc",
)
algorithms.append(match_clusters)

## Far Forward for now stored separately
fast_ff = FFSmearedParticles(
    "fast_ff",
    inputMCParticles="MCParticles",
    outputParticles="ReconstructedFFParticles",
    outputAssociations="ReconstructedFFParticlesAssoc",
    enableZDC=True,
    enableB0=True,
    enableRP=True,
    enableOMD=True,
    ionBeamEnergy=ionBeamEnergy,
    crossingAngle=-0.025,
)
algorithms.append(fast_ff)

# DRICH
drich_digi = PhotoMultiplierDigi(
    "drich_digi",
    inputHitCollection="DRICHHits",
    outputHitCollection="DRICHRawHits",
    quantumEfficiency=[(a * eV, b) for a, b in qe_data],
)
algorithms.append(drich_digi)

drich_reco = PhotoMultiplierReco(
    "drich_reco",
    inputHitCollection=drich_digi.outputHitCollection,
    outputHitCollection="DRICHRecHits",
)
algorithms.append(drich_reco)

# FIXME
# drich_cluster = PhotoRingClusters("drich_cluster",
#        inputHitCollection=pmtreco.outputHitCollection,
#        #inputTrackCollection=parts_with_truth_pid.outputParticles,
#        outputClusterCollection="ForwardRICHClusters")

# MRICH
if "acadia" in detector_version:
    mrich_digi = PhotoMultiplierDigi(
        "mrich_digi",
        inputHitCollection="MRICHHits",
        outputHitCollection="MRICHRawHits",
        quantumEfficiency=[(a * eV, b) for a, b in qe_data],
    )
    algorithms.append(mrich_digi)
    mrich_reco = PhotoMultiplierReco(
        "mrich_reco",
        inputHitCollection=mrich_digi.outputHitCollection,
        outputHitCollection="MRICHRecHits",
    )
    algorithms.append(mrich_reco)

# Inclusive kinematics
incl_kin_electron = InclusiveKinematicsElectron(
    "incl_kin_electron",
    inputMCParticles="MCParticles",
    inputReconstructedParticles=parts_with_truth_pid.outputParticles,
    inputParticleAssociations=parts_with_truth_pid.outputAssociations,
    outputInclusiveKinematics="InclusiveKinematicsElectron",
)
algorithms.append(incl_kin_electron)
incl_kin_jb = InclusiveKinematicsJB(
    "incl_kin_jb",
    inputMCParticles="MCParticles",
    inputReconstructedParticles=parts_with_truth_pid.outputParticles,
    inputParticleAssociations=parts_with_truth_pid.outputAssociations,
    outputInclusiveKinematics="InclusiveKinematicsJB",
)
algorithms.append(incl_kin_jb)
incl_kin_da = InclusiveKinematicsDA(
    "incl_kin_da",
    inputMCParticles="MCParticles",
    inputReconstructedParticles=parts_with_truth_pid.outputParticles,
    inputParticleAssociations=parts_with_truth_pid.outputAssociations,
    outputInclusiveKinematics="InclusiveKinematicsDA",
)
algorithms.append(incl_kin_da)
incl_kin_sigma = InclusiveKinematicsSigma(
    "incl_kin_sigma",
    inputMCParticles="MCParticles",
    inputReconstructedParticles=parts_with_truth_pid.outputParticles,
    inputParticleAssociations=parts_with_truth_pid.outputAssociations,
    outputInclusiveKinematics="InclusiveKinematicsSigma",
)
algorithms.append(incl_kin_sigma)
incl_kin_esigma = InclusiveKinematicseSigma(
    "incl_kin_esigma",
    inputMCParticles="MCParticles",
    inputReconstructedParticles=parts_with_truth_pid.outputParticles,
    inputParticleAssociations=parts_with_truth_pid.outputAssociations,
    outputInclusiveKinematics="InclusiveKinematicseSigma",
)
algorithms.append(incl_kin_esigma)

# Output
podout = PodioOutput("out", filename=output_rec)
podout.outputCommands = (
    [
        "keep *",
        "drop *Hits",
        "keep *Layers",
        "keep *Clusters",
        "drop *ProtoClusters",
        "drop outputParticles",
        "drop InitTrackParams",
    ]
    + ["drop " + c for c in sim_coll]
    + ["keep MCParticles"]
)
algorithms.append(podout)

ApplicationMgr(
    TopAlg=algorithms,
    EvtSel="NONE",
    EvtMax=n_events,
    ExtSvc=services,
    OutputLevel=WARNING,
    AuditAlgorithms=True,
    HistogramPersistency="ROOT",
)