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from Gaudi.Configuration import *
from Configurables import ApplicationMgr, AuditorSvc, EICDataSvc, PodioOutput, GeoSvc
from GaudiKernel import SystemOfUnits as units
from GaudiKernel.SystemOfUnits import MeV, GeV, mm, cm, mrad
import json
detector_name = "athena"
if "JUGGLER_DETECTOR" in os.environ :
detector_name = str(os.environ["JUGGLER_DETECTOR"])
detector_path = ""
if "DETECTOR_PATH" in os.environ :
detector_path = str(os.environ["DETECTOR_PATH"])
compact_path = os.path.join(detector_path, detector_name)
# CAL reconstruction
# get sampling fractions from system environment variable
ci_ecal_sf = float(os.environ.get("CI_ECAL_SAMP_FRAC", 0.253))
# input and output
input_sims = [f.strip() for f in str.split(os.environ["JUGGLER_SIM_FILE"], ",") if f.strip()]
output_rec = str(os.environ["JUGGLER_REC_FILE"])
n_events = int(os.environ["JUGGLER_N_EVENTS"])
# services
services = []
# geometry service
services.append(GeoSvc("GeoSvc", detectors=["{}.xml".format(compact_path)], OutputLevel=WARNING))
# data service
services.append(EICDataSvc("EventDataSvc", inputs=input_sims, OutputLevel=WARNING))
# juggler components
from Configurables import PodioInput
from Configurables import Jug__Digi__CalorimeterHitDigi as CalHitDigi
from Configurables import Jug__Reco__CalorimeterHitReco as CalHitReco
from Configurables import Jug__Reco__CalorimeterHitsMerger as CalHitsMerger
from Configurables import Jug__Reco__CalorimeterIslandCluster as IslandCluster
from Configurables import Jug__Reco__ClusterRecoCoG as RecoCoG
# branches needed from simulation root file
sim_coll = [
"mcparticles",
"EcalEndcapNHits",
"EcalEndcapPHits",
]
# list of algorithms
algorithms = []
# input
podin = PodioInput("PodioReader", collections=sim_coll)
algorithms.append(podin)
# Crystal Endcap Ecal
ce_ecal_daq = dict(
dynamicRangeADC=5.*units.GeV,
capacityADC=32768,
pedestalMean=400,
pedestalSigma=3)
ce_ecal_digi = CalHitDigi("ce_ecal_digi",
inputHitCollection="EcalEndcapNHits",
outputHitCollection="EcalEndcapNRawHits",
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="EcalEndcapNRecHits",
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",
inputHitCollection=ce_ecal_reco.outputHitCollection,
outputProtoClusterCollection="EcalEndcapNProtoClusters",
splitCluster=False,
minClusterHitEdep=1.0*units.MeV, # discard low energy hits
minClusterCenterEdep=30*units.MeV,
sectorDist=5.0*units.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",
mcHits="EcalEndcapNHits",
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.*units.MeV,
capacityADC=32768,
pedestalMean=400,
pedestalSigma=10)
ci_ecal_digi = CalHitDigi("ci_ecal_digi",
inputHitCollection="EcalEndcapPHits",
outputHitCollection="EcalEndcapPRawHits",
**ci_ecal_daq)
algorithms.append(ci_ecal_digi)
ci_ecal_reco = CalHitReco("ci_ecal_reco",
inputHitCollection=ci_ecal_digi.outputHitCollection,
outputHitCollection="EcalEndcapPRecHits",
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",
inputHitCollection=ci_ecal_reco.outputHitCollection,
outputHitCollection="EcalEndcapPRecMergedHits",
fields=["fiber_x", "fiber_y"],
fieldRefNumbers=[1, 1],
# fields=["layer", "slice"],
# fieldRefNumbers=[1, 0],
readoutClass="EcalEndcapPHits")
algorithms.append(ci_ecal_merger)
ci_ecal_cl = IslandCluster("ci_ecal_cl",
inputHitCollection=ci_ecal_merger.outputHitCollection,
outputProtoClusterCollection="EcalEndcapPProtoClusters",
splitCluster=False,
minClusterCenterEdep=10.*units.MeV,
localDistXY=[10*units.mm, 10*units.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",
mcHits="EcalEndcapPHits",
logWeightBase=6.2,
samplingFraction=ci_ecal_sf)
algorithms.append(ci_ecal_clreco)
# Output
podout = PodioOutput("out", filename=output_rec)
podout.outputCommands = [
"keep *",
"drop *Hits",
"keep *RecHits",
"keep *Layers",
"keep *Clusters",
"drop *ProtoClusters",
"drop outputParticles",
"drop InitTrackParams",
] + [ "drop " + c for c in sim_coll]
algorithms.append(podout)
ApplicationMgr(
TopAlg = algorithms,
EvtSel = 'NONE',
EvtMax = n_events,
ExtSvc = services,
OutputLevel = WARNING,
AuditAlgorithms = True
)