Store Event Information

Read an HLT2 file and create an ntuple with information from RecSummary (e.g. nPVs, nTracks, nFTClusters). A sample of \(\Lambda^0_b \to \Lambda_c^+ \mu \nu\) simulated decays is used for this example.

from PyConf.reading import get_particles
import Functors as F
from FunTuple import FunctorCollection
from FunTuple import FunTuple_Particles as Funtuple
import FunTuple.functorcollections as FC
from DaVinci.algorithms import create_lines_filter
from DaVinci import make_config, Options


def main(options: Options):
    # define fields
    fields = {"Lb": "[Lambda_b0 -> (Lambda_c+ -> p+ K- pi+) mu-]CC"}

    # define variables and add them to all fields
    # lb_variables = Kinematics()
    lb_variables = FunctorCollection({"PT": F.PT})
    variables = {"ALL": lb_variables}

    evt_vars = FC.EventInfo()
    evt_vars += FC.RecSummary()

    # get particles to run over
    line_name = "Hlt2SLB_LbToLcMuNu_LcToPKPi_Line"
    particles = get_particles(f"/Event/HLT2/{line_name}/Particles")
    my_filter = create_lines_filter(name="Myfilter", lines=[f"{line_name}"])
    # define tupling algorithm
    my_tuple = Funtuple(
        name="Tuple",
        tuple_name="DecayTree",
        fields=fields,
        variables=variables,
        event_variables=evt_vars,
        inputs=particles,
    )

    return make_config(options, [my_filter, my_tuple])

To run the example:

lbexec DaVinciExamples.tupling.option_davinci_tupling_eventinfo:main $DAVINCIEXAMPLESROOT/example_data/Upgrade_LbToLcmunu.yaml

For reference, these are the options of this example

input_files:
   - root://eoslhcb.cern.ch//eos/lhcb/wg/dpa/wp3/tests/Upgrade_LbToLcmunu.dst
input_manifest_file: root://eoslhcb.cern.ch//eos/lhcb/wg/dpa/wp3/tests/Upgrade_LbToLcmunu.tck.json
input_type: ROOT
simulation: True
conddb_tag: sim-20210617-vc-mu100
dddb_tag: dddb-20210617
conditions_version: master
geometry_version: run3/trunk
input_raw_format: 0.5
ntuple_file: 'mytuple.root'
print_freq: 1
input_process: Hlt2
input_stream: default
evt_max: 7
persistreco_version: 0.0
lumi: False
write_fsr: False