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#!/usr/bin/env python
"""
Reconstruct data from the MICE experiment
Offline analysis to produce reconstructed elements for MICE. TOF is
reconstructed through to space points; Ckov is reconstructed through to Digits.
"""
import MAUS
def run():
"""
Analyze data from the MICE experiment
"""
# Set up the input that reads from DAQ
my_input = MAUS.InputCppDAQOfflineData()
# Create an empty array of mappers, then populate it
# with the functionality you want to use.
my_map = MAUS.MapPyGroup()
# Trigger
my_map.append(MAUS.MapCppReconSetup())
# Detectors
my_map.append(MAUS.MapCppTOFDigits())
my_map.append(MAUS.MapCppTOFSlabHits())
my_map.append(MAUS.MapCppTOFSpacePoints())
my_map.append(MAUS.MapCppCkovDigits())
my_map.append(MAUS.MapCppKLDigits())
my_map.append(MAUS.MapCppKLCellHits())
my_map.append(MAUS.MapCppTrackerDigits()) # SciFi real data digitization
my_map.append(MAUS.MapCppTrackerClusterRecon()) # SciFi channel clustering
my_map.append(MAUS.MapCppTrackerSpacePointRecon()) # SciFi spacepoint recon
my_map.append(MAUS.MapCppTrackerPatternRecognition()) # SciFi track finding
my_map.append(MAUS.MapCppTrackerPRSeed()) # Set the Seed from PR
my_map.append(MAUS.MapCppTrackerTrackFit()) # SciFi track fit
my_map.append(MAUS.MapCppEMRPlaneHits())
my_map.append(MAUS.MapCppEMRSpacePoints())
my_map.append(MAUS.MapCppEMRRecon())
my_map.append(MAUS.MapCppGlobalReconImport()) # import tracks for global matching
my_map.append(MAUS.MapCppGlobalTrackMatching()) # global track matching
my_reduce = MAUS.ReducePyDoNothing()
# The Go() drives all the components you pass in then put all the output
# into a file called 'mausput'
MAUS.Go(my_input, my_map, my_reduce, MAUS.OutputCppRoot())
if __name__ == '__main__':
run()
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