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Commit 9c11d237 authored by Wouter Deconinck's avatar Wouter Deconinck
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Full/reference/best-effort reconstruction

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1 merge request!121Full/reference/best-effort reconstruction
...@@ -53,6 +53,7 @@ common:detector: ...@@ -53,6 +53,7 @@ common:detector:
- ln -s "${LOCAL_DATA_PATH}/sim_output" sim_output - ln -s "${LOCAL_DATA_PATH}/sim_output" sim_output
- ln -s "${LOCAL_DATA_PATH}/datasets/data" data - ln -s "${LOCAL_DATA_PATH}/datasets/data" data
- ls -lrtha - ls -lrtha
interruptible: true
include: include:
- local: 'benchmarks/ecal/config.yml' - local: 'benchmarks/ecal/config.yml'
...@@ -61,11 +62,12 @@ include: ...@@ -61,11 +62,12 @@ include:
- local: 'benchmarks/rich/config.yml' - local: 'benchmarks/rich/config.yml'
- local: 'benchmarks/imaging_ecal/config.yml' - local: 'benchmarks/imaging_ecal/config.yml'
- local: 'benchmarks/imaging_shower_ML/config.yml' - local: 'benchmarks/imaging_shower_ML/config.yml'
- local: 'benchmarks/full/config.yml'
final_report: final_report:
stage: finish stage: finish
needs: ["ecal_collect", "tracking_central_electrons","clustering:results"] needs: ["ecal_collect", "tracking_central_electrons", "clustering:results", "full:results"]
script: script:
# disabled while we address ACTS issues # disabled while we address ACTS issues
#- mkdir -p results/views && cd results/views && bash ../../bin/download_views #- mkdir -p results/views && cd results/views && bash ../../bin/download_views
......
full:reco:
extends: .rec_benchmark
stage: run
timeout: 24 hours
script:
- bash benchmarks/full/full_reconstruction.sh -t full_${REGIONS}_${PARTICLES} -n 100 -p "${PARTICLES}" --pmin 1 --pmax 20 --region "${REGIONS}"
parallel:
matrix:
- REGIONS: ["forward", "barrel", "backward"]
PARTICLES: ["electron", "pion+", "pion-", "kaon+", "kaon-", "proton", "neutron", "positron", "photon"]
#PARTICLES: ["electron", "pion0", "pion+", "pion-", "kaon0S", "kaon0L", "kaon+", "kaon-", "proton", "neutron", "positron", "photon"]
full:results:
extends: .rec_benchmark
stage: collect
needs: ["full:reco"]
script:
- ls -lrth
#- python dvcs/scripts/merge_results.py
#!/bin/bash
print_env.sh
function print_the_help {
echo "USAGE: ${0} -n <nevents> -t <nametag> -p <particle> "
echo " OPTIONS: "
echo " -n,--nevents Number of events"
echo " -t,--nametag name tag"
echo " -p,--particle particle type"
echo " allowed types: pion0, pion+, pion-, kaon0, kaon+, kaon-, proton, neutron, electron, positron, photon"
echo " --pmin minimum particle momentum (GeV)"
echo " --pmax maximum particle momentum (GeV)"
echo " --angmin minimum particle angle (deg)"
echo " --angmax maximum particle angle (deg)"
echo " --region detector region"
echo " allowed regions: farbackward, backward, barrel, forward, farforward"
exit
}
POSITIONAL=()
while [[ $# -gt 0 ]]
do
key="$1"
case $key in
-h|--help)
shift # past argument
print_the_help
;;
-t|--nametag)
nametag="$2"
shift # past argument
shift # past value
;;
-p|--particle)
particle="$2"
shift # past argument
shift # past value
;;
-n|--nevents)
export JUGGLER_N_EVENTS="$2"
shift # past argument
shift # past value
;;
--pmin)
export PMIN="$2"
shift
shift
;;
--pmax)
export PMAX="$2"
shift
shift
;;
--angmin)
export ANGMIN="$2"
shift
shift
;;
--angmax)
export ANGMAX="$2"
shift
shift
;;
--region)
export REGION="$2"
shift
shift
;;
*) # unknown option
#POSITIONAL+=("$1") # save it in an array for later
echo "unknown option $1"
print_the_help
shift # past argument
;;
esac
done
set -- "${POSITIONAL[@]}" # restore positional parameters
if [[ ! -n "${JUGGLER_N_EVENTS}" ]] ; then
export JUGGLER_N_EVENTS=1000
fi
if [[ ! -n "${PMIN}" ]] ; then
export PMIN=1.0
fi
if [[ ! -n "${PMAX}" ]] ; then
export PMAX=10.0
fi
if [[ ! -n "${ANGMIN}" ]] ; then
export ANGMIN=3
fi
if [[ ! -n "${ANGMAX}" ]] ; then
export ANGMAX=177
fi
if [[ ! -n "${REGION}" ]] ; then
export REGION="ignore"
fi
if [[ ! -n "${JUGGLER_DETECTOR}" ]] ; then
export JUGGLER_DETECTOR="athena"
fi
if [[ ! -n "${JUGGLER_DETECTOR_PATH}" ]] ; then
export JUGGLER_DETECTOR_PATH="/opt/detector/share/athena"
fi
if [[ ! -n "${JUGGLER_INSTALL_PREFIX}" ]] ; then
export JUGGLER_INSTALL_PREFIX="/usr/local"
fi
compact_path=${JUGGLER_DETECTOR_PATH}/${JUGGLER_DETECTOR}.xml
export JUGGLER_FILE_NAME_TAG="${nametag}"
export JUGGLER_GEN_FILE="gen_${JUGGLER_FILE_NAME_TAG}.hepmc"
export JUGGLER_SIM_FILE="sim_${JUGGLER_FILE_NAME_TAG}.root"
export JUGGLER_REC_FILE="rec_${JUGGLER_FILE_NAME_TAG}.root"
echo "JUGGLER_N_EVENTS = ${JUGGLER_N_EVENTS}"
echo "JUGGLER_DETECTOR_PATH = ${JUGGLER_DETECTOR_PATH}"
echo "JUGGLER_DETECTOR = ${JUGGLER_DETECTOR}"
# Generate the input events
if [ ! -f ${JUGGLER_GEN_FILE} ] ; then
python benchmarks/full/scripts/gen_particles.py ${JUGGLER_GEN_FILE} -n ${JUGGLER_N_EVENTS}\
--angmin ${ANGMIN} --angmax ${ANGMAX} --phmin 0 --phmax 360 --pmin ${PMIN} --pmax ${PMAX}\
--regions="${REGION}" --particles="${particle}"
fi
if [[ "$?" -ne "0" ]] ; then
echo "ERROR running script: generating input events"
exit 1
fi
ls -lh ${JUGGLER_GEN_FILE}
# Run geant4 simulations
if [ ! -f ${JUGGLER_SIM_FILE} ] ; then
npsim --runType batch \
-v WARNING \
--part.minimalKineticEnergy "1*TeV" \
--numberOfEvents ${JUGGLER_N_EVENTS} \
--compactFile ${compact_path} \
--inputFiles ${JUGGLER_GEN_FILE} \
--outputFile ${JUGGLER_SIM_FILE}
fi
if [[ "$?" -ne "0" ]] ; then
echo "ERROR running npdet"
exit 1
fi
rootls -t "${JUGGLER_SIM_FILE}"
# Directory for results
mkdir -p results
OPTION_DIR=benchmarks/full/options
SCRIPT_DIR=benchmarks/full/scripts
# Run Juggler
xenv -x ${JUGGLER_INSTALL_PREFIX}/Juggler.xenv \
gaudirun.py ${OPTION_DIR}/full_reconstruction.py
if [[ "$?" -ne "0" ]] ; then
echo "ERROR running reconstruction (juggler)"
exit 1
fi
# Run analysis scripts
#python ${SCRIPT_DIR}/full_reconstruction.py ${JUGGLER_SIM_FILE} ${JUGGLER_REC_FILE} -o results
root_filesize=$(stat --format=%s "${JUGGLER_REC_FILE}")
if [[ "${JUGGLER_N_EVENTS}" -lt "500" ]] ; then
# file must be less than 10 MB to upload
if [[ "${root_filesize}" -lt "10000000" ]] ; then
cp ${JUGGLER_REC_FILE} results/.
fi
fi
from Gaudi.Configuration import *
from GaudiKernel.DataObjectHandleBase import DataObjectHandleBase
from Configurables import ApplicationMgr, EICDataSvc, PodioOutput, GeoSvc
from GaudiKernel import SystemOfUnits as units
from GaudiKernel.SystemOfUnits import MeV, GeV, mm, cm, mrad
detector_name = "athena"
if "JUGGLER_DETECTOR" in os.environ :
detector_name = str(os.environ["JUGGLER_DETECTOR"])
detector_path = ""
if "JUGGLER_DETECTOR_PATH" in os.environ :
detector_path = str(os.environ["JUGGLER_DETECTOR_PATH"])
compact_path = os.path.join(detector_path, detector_name)
# RICH reconstruction
qe_data = [(1.0, 0.25), (7.5, 0.25),]
# CAL reconstruction
# 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))
# 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"])
# geometry service
geo_service = GeoSvc("GeoSvc", detectors=["{}.xml".format(compact_path)], OutputLevel=WARNING)
# data service
podioevent = EICDataSvc("EventDataSvc", inputs=input_sims, OutputLevel=WARNING)
# juggler components
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__Base__InputCopier_dd4pod__PhotoMultiplierHitCollection_dd4pod__PhotoMultiplierHitCollection_ as PMTCopier
from Configurables import Jug__Base__MC2DummyParticle as MC2DummyParticle
from Configurables import Jug__Digi__PhotoMultiplierDigi as PhotoMultiplierDigi
from Configurables import Jug__Digi__CalorimeterHitDigi as CalHitDigi
from Configurables import Jug__Digi__ExampleCaloDigi as ExampleCaloDigi
from Configurables import Jug__Digi__UFSDTrackerDigi as TrackerDigi
from Configurables import Jug__Digi__EMCalorimeterDigi as EMCalorimeterDigi
from Configurables import Jug__Reco__TrackerHitReconstruction as TrackerHitReconstruction
from Configurables import Jug__Reco__TrackerSourceLinker as TrackerSourceLinker
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__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__ImagingPixelReco as ImCalPixelReco
from Configurables import Jug__Reco__ImagingTopoCluster as ImagingCluster
from Configurables import Jug__Reco__ClusterRecoCoG as RecoCoG
from Configurables import Jug__Reco__ImagingClusterReco as ImagingClusterReco
from Configurables import Jug__Reco__PhotoMultiplierReco as PhotoMultiplierReco
from Configurables import Jug__Reco__PhotoRingClusters as PhotoRingClusters
from Configurables import Jug__Reco__EMCalReconstruction as EMCalReconstruction
from Configurables import Jug__Reco__SimpleClustering as SimpleClustering
# branches needed from simulation root file
sim_coll = [
"mcparticles",
"EcalEndcapNHits",
"EcalEndcapPHits",
"EcalBarrelHits",
"HcalBarrelHits",
"HcalHadronEndcapHits",
"HcalElectronEndcapHits",
"TrackerEndcapHits",
"TrackerBarrelHits",
"VertexBarrelHits",
"VertexEndcapHits",
"ForwardRICHHits"
]
# input and output
podin = PodioInput("PodioReader", collections=sim_coll)
podout = PodioOutput("out", filename=output_rec)
## 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")
pmtcopier = PMTCopier("PMTCopier",
inputCollection="ForwardRICHHits",
outputCollection="ForwardRICHHits2")
# Dummy reconstruction
dummy = MC2DummyParticle("MC2Dummy",
inputCollection="mcparticles",
outputCollection="ReconstructedParticles",
smearing = 0.01)
# Simple clusters
ecal_digi = EMCalorimeterDigi("ecal_digi",
inputHitCollection="EcalBarrelHits",
outputHitCollection="EcalBarrelHitsSimpleDigi")
ecal_reco = EMCalReconstruction("ecal_reco",
inputHitCollection="EcalBarrelHitsSimpleDigi",
outputHitCollection="EcalBarrelHitsSimpleReco",
minModuleEdep=0.0*units.MeV)
simple_cluster = SimpleClustering("simple_cluster",
inputHitCollection="EcalBarrelHitsSimpleReco",
outputClusters="SimpleClusters",
minModuleEdep=1.0*units.MeV,
maxDistance=50.0*units.cm)
# 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="EcalEndcapNHitsDigi",
energyResolutions=[0., 0.02, 0.],
**ce_ecal_daq)
ce_ecal_reco = CalHitReco("ce_ecal_reco",
inputHitCollection="EcalEndcapNHitsDigi",
outputHitCollection="EcalEndcapNHitsReco",
thresholdFactor=4, # 4 sigma cut on pedestal sigma
readoutClass="EcalEndcapNHits",
sectorField="sector",
**ce_ecal_daq)
ce_ecal_cl = IslandCluster("ce_ecal_cl",
inputHitCollection="EcalEndcapNHitsReco",
outputHitCollection="EcalEndcapNClusterHits",
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
ce_ecal_clreco = RecoCoG("ce_ecal_clreco",
inputHitCollection="EcalEndcapNClusterHits",
outputClusterCollection="EcalEndcapNClusters",
samplingFraction=0.998, # this accounts for a small fraction of leakage
logWeightBase=4.6)
# 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="EcalEndcapPHitsDigi",
**ci_ecal_daq)
ci_ecal_reco = CalHitReco("ci_ecal_reco",
inputHitCollection="EcalEndcapPHitsDigi",
outputHitCollection="EcalEndcapPHitsReco",
thresholdFactor=5.0,
**ci_ecal_daq)
# merge hits in different layer (projection to local x-y plane)
ci_ecal_merger = CalHitsMerger("ci_ecal_merger",
inputHitCollection="EcalEndcapPHitsReco",
outputHitCollection="EcalEndcapPHitsRecoXY",
fields=["layer", "slice"],
fieldRefNumbers=[1, 0],
readoutClass="EcalEndcapPHits")
ci_ecal_cl = IslandCluster("ci_ecal_cl",
inputHitCollection="EcalEndcapPHitsRecoXY",
outputHitCollection="EcalEndcapPClusterHits",
splitCluster=False,
minClusterCenterEdep=10.*units.MeV,
localDistXY=[10*units.mm, 10*units.mm])
ci_ecal_clreco = RecoCoG("ci_ecal_clreco",
inputHitCollection="EcalEndcapPClusterHits",
outputClusterCollection="EcalEndcapPClusters",
logWeightBase=6.2,
samplingFraction=ci_ecal_sf)
# Central Barrel Ecal (Imaging Cal.)
cb_ecal_daq = dict(
dynamicRangeADC=3*units.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)
cb_ecal_reco = ImCalPixelReco("cb_ecal_reco",
inputHitCollection="EcalBarrelHitsDigi",
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)
cb_ecal_cl = ImagingCluster("cb_ecal_cl",
inputHitCollection="EcalBarrelHitsReco",
outputHitCollection="EcalBarrelClusterHits",
localDistXY=[2.*units.mm, 2*units.mm], # same layer
layerDistEtaPhi=[10*units.mrad, 10*units.mrad], # adjacent layer
neighbourLayersRange=2, # id diff for adjacent layer
sectorDist=3.*units.cm) # different sector
cb_ecal_clreco = ImagingClusterReco("cb_ecal_clreco",
samplingFraction=cb_ecal_sf,
inputHitCollection="EcalBarrelClusterHits",
outputClusterCollection="EcalBarrelClusters",
outputLayerCollection="EcalBarrelLayers")
# Central Barrel Hcal
cb_hcal_daq = dict(
dynamicRangeADC=50.*units.MeV,
capacityADC=32768,
pedestalMean=400,
pedestalSigma=10)
cb_hcal_digi = CalHitDigi("cb_hcal_digi",
inputHitCollection="HcalBarrelHits",
outputHitCollection="HcalBarrelHitsDigi",
**cb_hcal_daq)
cb_hcal_reco = CalHitReco("cb_hcal_reco",
inputHitCollection="HcalBarrelHitsDigi",
outputHitCollection="HcalBarrelHitsReco",
thresholdFactor=5.0,
readoutClass="HcalBarrelHits",
layerField="layer",
sectorField="module",
**cb_hcal_daq)
cb_hcal_merger = CalHitsMerger("cb_hcal_merger",
inputHitCollection="HcalBarrelHitsReco",
outputHitCollection="HcalBarrelHitsRecoXY",
readoutClass="HcalBarrelHits",
fields=["layer", "slice"],
fieldRefNumbers=[1, 0])
cb_hcal_cl = IslandCluster("cb_hcal_cl",
inputHitCollection="HcalBarrelHitsRecoXY",
outputHitCollection="HcalBarrelClusterHits",
splitCluster=False,
minClusterCenterEdep=30.*units.MeV,
localDistXY=[15.*units.cm, 15.*units.cm])
cb_hcal_clreco = RecoCoG("cb_hcal_clreco",
inputHitCollection="HcalBarrelClusterHits",
outputClusterCollection="HcalBarrelClusters",
logWeightBase=6.2,
samplingFraction=cb_hcal_sf)
# Hcal Hadron Endcap
ci_hcal_daq = dict(
dynamicRangeADC=50.*units.MeV,
capacityADC=32768,
pedestalMean=400,
pedestalSigma=10)
ci_hcal_digi = CalHitDigi("ci_hcal_digi",
inputHitCollection="HcalHadronEndcapHits",
outputHitCollection="HcalHadronEndcapHitsDigi",
**ci_hcal_daq)
ci_hcal_reco = CalHitReco("ci_hcal_reco",
inputHitCollection="HcalHadronEndcapHitsDigi",
outputHitCollection="HcalHadronEndcapHitsReco",
thresholdFactor=5.0,
**ci_hcal_daq)
ci_hcal_merger = CalHitsMerger("ci_hcal_merger",
inputHitCollection="HcalHadronEndcapHitsReco",
outputHitCollection="HcalHadronEndcapHitsRecoXY",
readoutClass="HcalHadronEndcapHits",
fields=["layer", "slice"],
fieldRefNumbers=[1, 0])
ci_hcal_cl = IslandCluster("ci_hcal_cl",
inputHitCollection="HcalHadronEndcapHitsRecoXY",
outputHitCollection="HcalHadronEndcapClusterHits",
splitCluster=False,
minClusterCenterEdep=30.*units.MeV,
localDistXY=[15.*units.cm, 15.*units.cm])
ci_hcal_clreco = RecoCoG("ci_hcal_clreco",
inputHitCollection="HcalHadronEndcapClusterHits",
outputClusterCollection="HcalHadronEndcapClusters",
logWeightBase=6.2,
samplingFraction=ci_hcal_sf)
# Hcal Electron Endcap
ce_hcal_daq = dict(
dynamicRangeADC=50.*units.MeV,
capacityADC=32768,
pedestalMean=400,
pedestalSigma=10)
ce_hcal_digi = CalHitDigi("ce_hcal_digi",
inputHitCollection="HcalElectronEndcapHits",
outputHitCollection="HcalElectronEndcapHitsDigi",
**ce_hcal_daq)
ce_hcal_reco = CalHitReco("ce_hcal_reco",
inputHitCollection="HcalElectronEndcapHitsDigi",
outputHitCollection="HcalElectronEndcapHitsReco",
thresholdFactor=5.0,
**ce_hcal_daq)
ce_hcal_merger = CalHitsMerger("ce_hcal_merger",
inputHitCollection="HcalElectronEndcapHitsReco",
outputHitCollection="HcalElectronEndcapHitsRecoXY",
readoutClass="HcalElectronEndcapHits",
fields=["layer", "slice"],
fieldRefNumbers=[1, 0])
ce_hcal_cl = IslandCluster("ce_hcal_cl",
inputHitCollection="HcalElectronEndcapHitsRecoXY",
outputHitCollection="HcalElectronEndcapClusterHits",
splitCluster=False,
minClusterCenterEdep=30.*units.MeV,
localDistXY=[15.*units.cm, 15.*units.cm])
ce_hcal_clreco = RecoCoG("ce_hcal_clreco",
inputHitCollection="HcalElectronEndcapClusterHits",
outputClusterCollection="HcalElectronEndcapClusters",
logWeightBase=6.2,
samplingFraction=ce_hcal_sf)
# Tracking
trk_b_digi = TrackerDigi("trk_b_digi",
inputHitCollection="TrackerBarrelHits",
outputHitCollection="TrackerBarrelRawHits",
timeResolution=8)
trk_ec_digi = TrackerDigi("trk_ec_digi",
inputHitCollection="TrackerEndcapHits",
outputHitCollection="TrackerEndcapRawHits",
timeResolution=8)
vtx_b_digi = TrackerDigi("vtx_b_digi",
inputHitCollection="VertexBarrelHits",
outputHitCollection="VertexBarrelRawHits",
timeResolution=8)
vtx_ec_digi = TrackerDigi("vtx_ec_digi",
inputHitCollection="VertexEndcapHits",
outputHitCollection="VertexEndcapRawHits",
timeResolution=8)
# Tracker and vertex reconstruction
trk_b_reco = TrackerHitReconstruction("trk_b_reco",
inputHitCollection = trk_b_digi.outputHitCollection,
outputHitCollection="TrackerBarrelRecHits")
trk_ec_reco = TrackerHitReconstruction("trk_ec_reco",
inputHitCollection = trk_ec_digi.outputHitCollection,
outputHitCollection="TrackerEndcapRecHits")
vtx_b_reco = TrackerHitReconstruction("vtx_b_reco",
inputHitCollection = vtx_b_digi.outputHitCollection,
outputHitCollection="VertexBarrelRecHits")
vtx_ec_reco = TrackerHitReconstruction("vtx_ec_reco",
inputHitCollection = vtx_ec_digi.outputHitCollection,
outputHitCollection="VertexEndcapRecHits")
# Hit Source linker
sourcelinker = TrackerSourceLinker("sourcelinker",
inputHitCollection=trk_b_reco.outputHitCollection,
outputSourceLinks="BarrelTrackSourceLinks",
outputMeasurements="BarrelTrackMeasurements")
#trk_hits_srclnkr = TrackerSourcesLinker("trk_srcslnkr",
# ITrackerBarrelHits = vtx_b_reco.outputHitCollection,
# ITrackerEndcapHits = vtx_ec_reco.outputHitCollection,
# OTrackerBarrelHits = trk_b_reco.outputHitCollection,
# OTrackerEndcapHits = trk_ec_reco.outputHitCollection,
# outputSourceLinks="TrackerMeasurements")
## Track param init
truth_trk_init = TrackParamTruthInit("truth_trk_init",
inputMCParticles="mcparticles",
outputInitialTrackParameters="InitTrackParamsFromTruth")
#clust_trk_init = TrackParamClusterInit("clust_trk_init",
# inputClusters="SimpleClusters",
# outputInitialTrackParameters="InitTrackParamsFromClusters")
#vtxcluster_trk_init = TrackParamVertexClusterInit("vtxcluster_trk_init",
# inputVertexHits="VertexBarrelRecHits",
# inputClusters="EcalBarrelClusters",
# outputInitialTrackParameters="InitTrackParamsFromVtxClusters",
# maxHitRadius=40.0*units.mm)
# Tracking algorithms
trk_find_alg = TrackFindingAlgorithm("trk_find_alg",
inputSourceLinks = sourcelinker.outputSourceLinks,
inputMeasurements = sourcelinker.outputMeasurements,
inputInitialTrackParameters= "InitTrackParamsFromTruth",
outputTrajectories="trajectories")
parts_from_fit = ParticlesFromTrackFit("parts_from_fit",
inputTrajectories="trajectories",
outputParticles="ReconstructedParticlesInitFromTruth",
outputTrackParameters="outputTrackParameters")
#trk_find_alg1 = TrackFindingAlgorithm("trk_find_alg1",
# inputSourceLinks = sourcelinker.outputSourceLinks,
# inputMeasurements = sourcelinker.outputMeasurements,
# inputInitialTrackParameters= "InitTrackParamsFromClusters",
# outputTrajectories="trajectories1")
#parts_from_fit1 = ParticlesFromTrackFit("parts_from_fit1",
# inputTrajectories="trajectories1",
# outputParticles="ReconstructedParticlesInitFromClusters",
# outputTrackParameters="outputTrackParameters1")
#trk_find_alg2 = TrackFindingAlgorithm("trk_find_alg2",
# inputSourceLinks = trk_hits_srclnkr.outputSourceLinks,
# inputMeasurements = trk_hits_srclnkr.outputMeasurements,
# inputInitialTrackParameters= "InitTrackParamsFromVtxClusters",
# outputTrajectories="trajectories2")
#parts_from_fit2 = ParticlesFromTrackFit("parts_from_fit2",
# inputTrajectories="trajectories2",
# outputParticles="ReconstructedParticles2",
# outputTrackParameters="outputTrackParameters2")
pmtdigi = PhotoMultiplierDigi("pmtdigi",
inputHitCollection="ForwardRICHHits",
outputHitCollection="ForwardRICHHitsDigi",
quantumEfficiency=[(a*units.eV, b) for a, b in qe_data])
pmtreco = PhotoMultiplierReco("pmtreco",
inputHitCollection="ForwardRICHHitsDigi",
outputHitCollection="ForwardRICHHitsReco")
# FIXME
#richcluster = PhotoRingClusters("richcluster",
# inputHitCollection="ForwardRICHHitsReco",
# #inputTrackCollection="ReconstructedParticles",
# outputClusterCollection="ForwardRICHClusters")
# Output
podout.outputCommands = ["keep *",
"keep *Digi",
"keep *Reco*",
"keep *ClusterHits",
"keep *Clusters",
"keep *Layers",
"drop mcparticles"
]
ApplicationMgr(
TopAlg = [podin, copier, trkcopier,
dummy,
ecal_digi, ecal_reco, #simple_cluster,
ce_ecal_digi, ce_ecal_reco, ce_ecal_cl, ce_ecal_clreco,
ci_ecal_digi, ci_ecal_reco, ci_ecal_merger, ci_ecal_cl, ci_ecal_clreco,
cb_ecal_digi, cb_ecal_reco, cb_ecal_cl, cb_ecal_clreco,
cb_hcal_digi, cb_hcal_reco, cb_hcal_merger, cb_hcal_cl, cb_hcal_clreco,
ce_hcal_digi, ce_hcal_reco, ce_hcal_merger, ce_hcal_cl, ce_hcal_clreco,
ci_hcal_digi, ci_hcal_reco, ci_hcal_merger, ci_hcal_cl, ci_hcal_clreco,
trk_b_digi, trk_ec_digi, vtx_b_digi, vtx_ec_digi,
trk_b_reco, trk_ec_reco, vtx_b_reco, vtx_ec_reco,
sourcelinker, #trk_hits_srclnkr,
#clust_trk_init,
truth_trk_init,
#vtxcluster_trk_init,
trk_find_alg, parts_from_fit,
#trk_find_alg1, parts_from_fit1,
#trk_find_alg2, parts_from_fit2,
pmtcopier, pmtdigi, pmtreco, #richcluster,
podout
],
EvtSel = 'NONE',
EvtMax = n_events,
ExtSvc = [podioevent,geo_service],
OutputLevel=WARNING
)
import os
from pyHepMC3 import HepMC3 as hm
import numpy as np
import argparse
PARTICLES = {
"pion0": (111, 0.1349766), # pi0
"pion+": (211, 0.13957018), # pi+
"pion-": (-211, 0.13957018), # pi-
"kaon0L": (130, 0.497648), # K0L
"kaon0S": (310, 0.497648), # K0S
"kaon0": (311, 0.497648), # K0
"kaon+": (321, 0.493677), # K+
"kaon-": (-321, 0.493677), # K-
"proton": (2212, 0.938272), # proton
"neutron": (2112, 0.939565), # neutron
"electron": (11, 0.51099895e-3), # electron
"positron": (-11, 0.51099895e-3),# positron
"photon": (22, 0), # photon
}
REGIONS = {
"farforward": (1, 4),
"forward": (3, 50),
"barrel": (45, 135),
"backward": (130, 177),
"farbackward": (176, 179),
}
def gen_event(p, theta, phi, pid, mass):
evt = hm.GenEvent(momentum_unit=hm.Units.MomentumUnit.GEV, length_unit=hm.Units.LengthUnit.MM)
# final state
state = 1
e0 = np.sqrt(p*p + mass*mass)
px = np.cos(phi)*np.sin(theta)
py = np.sin(phi)*np.sin(theta)
pz = np.cos(theta)
# beam
pbeam = hm.GenParticle(hm.FourVector(0, 0, 0, 0.938272), 2212, 4)
ebeam = hm.GenParticle(hm.FourVector(0, 0, e0, np.sqrt(e0*e0 + 0.511e-3*0.511e-3)), 11, 4)
# out particle
hout = hm.GenParticle(hm.FourVector(px*p, py*p, pz*p, e0), pid, state)
# vertex
vert = hm.GenVertex()
vert.add_particle_in(ebeam)
vert.add_particle_in(pbeam)
vert.add_particle_out(hout)
evt.add_vertex(vert)
return evt
if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_argument('output', help='path to the output file')
parser.add_argument('-n', type=int, default=1000, dest='nev', help='number of events to generate')
parser.add_argument('-s', type=int, default=-1, dest='seed', help='seed for random generator')
parser.add_argument('--parray', type=str, default="", dest='parray',
help='an array of momenta in GeV, separated by \",\"')
parser.add_argument('--pmin', type=float, default=8.0, dest='pmin', help='minimum momentum in GeV')
parser.add_argument('--pmax', type=float, default=100.0, dest='pmax', help='maximum momentum in GeV')
parser.add_argument('--angmin', type=float, default=0.0, dest='angmin', help='minimum angle in degree')
parser.add_argument('--angmax', type=float, default=20.0, dest='angmax', help='maximum angle in degree')
parser.add_argument('--phmin', type=float, default=0.0, dest='phmin', help='minimum angle in degree')
parser.add_argument('--phmax', type=float, default=360.0, dest='phmax', help='maximum angle in degree')
parser.add_argument('--particles', type=str, default='electron', dest='particles',
help='particle names, support {}'.format(list(PARTICLES.keys())))
parser.add_argument('--regions', type=str, default='ignored', dest='regions',
help='detector regions, support {}'.format(list(REGIONS.keys())))
args = parser.parse_args()
# random seed (< 0 will get it from enviroment variable 'SEED', or a system random number)
if args.seed < 0:
args.seed = os.environ.get('SEED', int.from_bytes(os.urandom(4), byteorder='big', signed=False))
print("Random seed is {}".format(args.seed))
np.random.seed(args.seed)
output = hm.WriterAscii(args.output);
if output.failed():
print("Cannot open file \"{}\"".format(args.output))
sys.exit(2)
# build particle info
parts = []
for pid in args.particles.split(','):
pid = pid.strip()
if pid not in PARTICLES.keys():
print('pid {:d} not found in dictionary, ignored.'.format(pid))
continue
parts.append(PARTICLES[pid])
# interpret region
(angmin, angmax) = (args.angmin, args.angmax)
for region in args.regions.split(','):
region = region.strip()
if region not in REGIONS.keys():
print('region {:d} not found in dictionary, ignored.'.format(pid))
continue
(angmin, angmax) = REGIONS[region]
# p values
pvals = np.random.uniform(args.pmin, args.pmax, args.nev) if not args.parray else \
np.random.choice([float(p.strip()) for p in args.parray.split(',')], args.nev)
thvals = np.random.uniform(angmin, angmax, args.nev)/180.*np.pi
phivals = np.random.uniform(args.phmin, args.phmax, args.nev)/180.*np.pi
partvals = [parts[i] for i in np.random.choice(len(parts), args.nev)]
count = 0
for p, theta, phi, (pid, mass) in zip(pvals, thvals, phivals, partvals):
if (count % 1000 == 0):
print("Generated {} events".format(count), end='\r')
evt = gen_event(p, theta, phi, pid, mass)
output.write_event(evt)
evt.clear()
count += 1
print("Generated {} events".format(args.nev))
output.close()
...@@ -4,5 +4,4 @@ tracking_central_electrons: ...@@ -4,5 +4,4 @@ tracking_central_electrons:
timeout: 24 hours timeout: 24 hours
script: script:
- bash benchmarks/tracking/central_electrons.sh - bash benchmarks/tracking/central_electrons.sh
#allow_failure: true #allow_failure: true
\ No newline at end of file
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