def __init__(self, geom, file=None):
super(larlite_manager_base, self).__init__(geom, file)
manager.__init__(self, geom, file)
QtCore.QObject.__init__(self)
# For the larlite manager, need both the ana_processor and
# the storage manager
self._process = fmwk.ana_processor()
self._mgr = fmwk.storage_manager()
self._keyTable = dict()
self._drawnClasses = dict()
if file != None:
self.setInputFiles(file)
self._n_entries = 0
# Toggle whether or not to draw wires:
self._drawWires = False
self._drawParams = False
self._drawTruth = False
self._wireDrawer = None
self._truthDrawer = None
# Lariat has special meanings to event/spill/run
self._spill = 0
def __init__(self, geom, file=None):
super(larlite_manager_base, self).__init__(geom, file)
manager.__init__(self, geom, file)
QtCore.QObject.__init__(self)
# For the larlite manager, need both the ana_processor and
# the storage manager
self._process = fmwk.ana_processor()
self._mgr = fmwk.storage_manager()
self._keyTable = dict()
self._drawnClasses = dict()
if file != None:
self.setInputFiles(file)
self._n_entries = 0
# Toggle whether or not to draw wires:
self._drawWires = False
self._drawParams = False
self._drawTruth = False
self._wireDrawer = None
self._truthDrawer = None
# Lariat has special meanings to event/spill/run
self._spill = 0
def process_sample(_type, _file):
# Create ana_processor instance
my_proc = larlite.ana_processor()
# Set input root file
# for _f in f:
# my_proc.add_input_file(_f)
my_proc.add_input_file(_file)
# Specify IO mode
my_proc.set_io_mode(larlite.storage_manager.kREAD)
# Specify output root file name
my_proc.set_ana_output_file(_file.replace('.root', '') + "_ana.root")
# my_proc.set_output_file("")
filterModule = argoana.Stage1Efficiency()
filterModule.setTrackProducer("pmtrack")
filterModule.setClusterProducer("trajcluster")
filterModule.setMinTrackLength(15)
# Attach an analysis unit ... here we use a base class which do
my_proc.add_process(filterModule)
my_proc.run(0)
def run(delta_pdgs, is_not, output_name, ccnc = 0):
if os.path.exists(output_name):
shutil.rmtree(output_name)
os.mkdir(output_name)
file_increment = 10
increment_counter = 0
file_counter = 1
number_of_arguments = len(sys.argv) - 1
loop_range = 1
if(number_of_arguments > file_increment):
loop_range = number_of_arguments / file_increment
if(number_of_arguments % file_increment):
loop_range += 1
my_proc = fmwk.ana_processor()
for i in xrange(0, loop_range):
my_proc.reset()
increment_counter += file_increment
while(file_counter <= increment_counter):
if file_counter >= len(sys.argv):
break
my_proc.add_input_file(sys.argv[file_counter])
file_counter += 1
my_proc.set_io_mode(fmwk.storage_manager.kBOTH)
my_proc.set_output_file(output_name + "/" + output_name + "_" + str(i) + ".root")
my_proc.enable_filter()
if(ccnc == 1):
my_proc.add_process(fmwk.ccnc(True))
elif(ccnc == 2):
my_proc.add_process(fmwk.ccnc(False))
idrs = fmwk.is_delta_rad_spec(is_not)
for i in xrange(0, len(delta_pdgs)):
idrs.add_delta_parents(delta_pdgs[i])
my_proc.add_process(idrs)
my_proc.run()
def processMC(f):
larutil.LArUtilManager.Reconfigure(larlite.geo.kArgoNeuT)
# Make an instance of the larlite processing framework:
my_proc = larlite.ana_processor()
# Set input root file
my_proc.add_input_file(f)
# Specify IO mode
my_proc.set_io_mode(larlite.storage_manager.kREAD)
proc = larlite.MCElectronEstimate()
# Attach an analysis unit ... here we use a base class which do
my_proc.add_process(proc)
# Let's run it.
my_proc.run()
return proc
msg += "Usage 1: %s $INPUT_ROOT_FILE\n" % sys.argv[0]
msg += '\n'
sys.stderr.write(msg)
sys.exit(1)
from ROOT import gSystem, TMath
from ROOT import larlite as fmwk
from ROOT import larutil
#from larlite import larlite as fmwk
#from larlite import larutil
# Set input root file
for x in xrange(len(sys.argv) - 1):
# Create ana_processor instance
my_proc = fmwk.ana_processor()
my_proc.add_input_file(sys.argv[x + 1])
fname = sys.argv[x + 1]
run = int(fname[fname.find('_run_') + 5:fname.find('_subrun_')])
subrun = int(fname[fname.find('_subrun_') + 8:fname.find('.root')])
if (run <= 1236):
continue
print str(run) + ' ' + str(subrun)
outfile = "rawdigit_laser_%05d_%04d.root" % (run, subrun)
import sys,os
if len(sys.argv) < 2:
msg = '\n'
msg += "Usage 1: %s $INPUT_ROOT_FILE\n" % sys.argv[0]
msg += '\n'
sys.stderr.write(msg)
sys.exit(1)
from ROOT import gSystem
#gSystem.Load("libSimpleWFAna")
from ROOT import larlite as fmwk
# Create ana_processor instance
my_proc = fmwk.ana_processor()
# add input files
my_proc.add_input_file(sys.argv[1])
# Specify IO mode
my_proc.set_io_mode(fmwk.storage_manager.kREAD)
# Specify output root file name
my_proc.set_ana_output_file("SimpleWFAna_output.root");
ana_unit = fmwk.SimpleWFAna()
#corr_unit.setVerbose(True)
my_proc.add_process(ana_unit)
print
if len(sys.argv) < 2:
msg = '\n'
msg += "Usage 1: %s $INPUT_ROOT_FILE\n" % sys.argv[0]
msg += '\n'
sys.stderr.write(msg)
sys.exit(1)
from ROOT import larlite as fmwk
is_not = True
#ALL
################################################################################
my_proc = fmwk.ana_processor()
for i in xrange(1,len(sys.argv)):
my_proc.add_input_file(sys.argv[i])
my_proc.set_io_mode(fmwk.storage_manager.kBOTH)
out_name = "not_delta_rad_1delta_1gamma.root"
my_proc.set_output_file(out_name)
my_proc.enable_filter()
idrs = fmwk.is_delta_rad_spec(is_not)
idrs.add_delta_parents(2214)
idrs.add_delta_parents(2114)
my_proc.add_process(idrs)
my_proc.run()
def main():
if len(sys.argv) < 2:
msg = '\n'
msg += "Usage: %s $INPUT_ROOT_FILE\n" % sys.argv[0]
msg += '\n'
sys.stderr.write(msg)
sys.exit(1)
# Create Pi0 Filter
pi0_filter = fmwk.Pi0ContainmentFilter();
# Create ana_processor instance
my_proc = fmwk.ana_processor()
my_proc.enable_filter(True)
# Create algorithm
my_algo = ertool.AlgoPi0()
my_algo.setVerbose(True)
my_algo.setMinShrEnergy(10)
my_algo.setMaxShrEnergy(1000)
my_algo.setIPMax(10)
my_algo.setMinFitMass(50)
my_algo.setMaxFitMass(200)
my_algo.setAngleMax(3.14)
# Create filter
my_filter = ertool.FilterECut()
my_filter.SetECut(10) #cut on 10 MeV
# Create analysis unit
my_ana = fmwk.ExampleERSelection()
# Set Producers
# First Argument: True = MC, False = Reco
my_ana.SetShowerProducer(True,"mcreco");
my_ana.SetTrackProducer(True,"mcreco");
my_ana.SetVtxProducer(True,"generator");
#my_ana.SetShowerProducer(False,"showerreco");
#my_ana.SetTrackProducer(False,"");
#my_ana.SetVtxProducer(False,"");
my_ana._mgr.SetFilter(my_filter)
my_ana._mgr.SetAlgo(my_algo)
my_ana._mgr._training_mode =False
# Obtain input root files
files = []
for x in xrange(len(sys.argv)-1):
fname = sys.argv[x+1]
if fname.endswith('.root'):
files.append(fname)
print
print ' Running AlgoPi0 training script...'
print
print ' Identified %2d input files' % len(files)
if not ask_binary(' Proceed? [y/n]:'): return False
print
if ask_binary(' Load previously extracted fit parameters? [y/n]:'):
my_algo.LoadParams()
my_proc.set_io_mode(fmwk.storage_manager.kREAD)
#my_proc.add_process(pi0_filter);
my_proc.add_process(my_ana)
for f in files:
my_proc.add_input_file(f)
my_ana._mgr.Reset()
my_proc.set_ana_output_file("pi0_reco.root")
print ' Start running pi0 reco...'
my_proc.run()
print
print ' Finished running pi0 reco...'
print
return True
import ROOT,sys,os
from recotool.mergeDef import *
from ROOT import larlite as fmwk
mgr = fmwk.ana_processor()
#args should be input file name
for x in xrange(len(sys.argv)-2):
mgr.add_input_file(sys.argv[x+1])
#last arg should be output file name
out_file = sys.argv[-1]
if os.path.isfile(out_file):
print
print 'ERROR: output file already exists...'
print
sys.exit(0)
mgr.set_output_file(out_file)
mgr.set_io_mode(fmwk.storage_manager.kBOTH)
mgr.set_ana_output_file("")
prelimMerger = GetPrelimMergerInstance()
# prelimMerger = GetPrelimMergerInstance(producer="fuzzycluster",saveOutput=True)
mgr.add_process(prelimMerger)
mgr.run()
def main():
if len(sys.argv) < 2:
msg = '\n'
msg += "Usage: %s $INPUT_ROOT_FILE\n" % sys.argv[0]
msg += '\n'
sys.stderr.write(msg)
sys.exit(1)
ertool.Manager()
print "manager"
#viewer
plt.ion()
display_reco = ERViewer()
print "display"
display_mc = ERViewer()
print "display"
display_reco.show()
print "show"
display_mc.show()
print "show"
# Create ana_processor instance
my_proc = fmwk.ana_processor()
# Create algorithm
my_algo = ertool.AlgoPi0()
my_algo.setVerbose(True)
my_algo.setMinShrEnergy(10)
my_algo.setMaxShrEnergy(1000)
my_algo.setIPMax(10)
my_algo.setMinFitMass(50)
my_algo.setMaxFitMass(200)
my_algo.setAngleMax(3.14)
# Create analysis unit
my_ana = fmwk.Pi0Reco()
# ************Set Producers**************
# First Argument: True = MC, False = Reco
#my_ana.SetShowerProducer(True,"mcreco");
#my_ana.SetTrackProducer(True,"mcreco");
my_ana.SetVtxProducer(False, "")
#my_ana.SetShowerProducer(False,"pandoraNuShower")
#my_ana.SetTrackProducer(False,"");
#my_ana.SetVtxProducer(False,"");
my_ana.SetShowerProducer(True, "showerreco")
#my_ana.SetTrackProducer(True,"mcreco");
#my_ana.SetVtxProducer(False,"");
# ************Set Producers**************
#help(my_ana._mgr)
my_ana._mgr.SetAlgo(my_algo)
my_ana._mgr._training_mode = True
# Obtain input root files
files = []
for x in xrange(len(sys.argv) - 1):
fname = sys.argv[x + 1]
if fname.endswith('.root'):
files.append(fname)
print
print ' Running AlgoPi0 training script...'
print
print ' Identified %2d input files' % len(files)
if not ask_binary(' Proceed? [y/n]:'): return False
print
if ask_binary(' Load previously extracted fit parameters? [y/n]:'):
my_algo.LoadParams()
my_proc.set_io_mode(fmwk.storage_manager.kREAD)
my_proc.add_process(my_ana)
for f in files:
my_proc.add_input_file(f)
my_ana._mgr.Reset()
my_proc.set_ana_output_file("pi0_viewing.root")
print ' Start running pi0 training...'
# Start event-by-event loop
counter = 0
while (counter < 1000):
try:
counter = input(
'Hit Enter to continue to next evt, or type in an event number to jump to that event:'
)
except SyntaxError:
counter = counter + 1
my_proc.process_event(counter)
# get objets and display
display_reco.clear()
display_mc.clear()
data_reco = my_ana.GetData()
part_reco = my_ana.GetParticles()
data_mc = my_ana.GetData(True)
part_mc = my_ana.GetParticles(True)
#display_reco.add(part_reco, data_reco, False)
display_mc.add(part_mc, data_mc, False)
display_reco.add(part_reco, data_reco, False)
for x in xrange(part_mc.size()):
print part_mc[x].Diagram()
#for x in xrange(part_reco.size()):
# print part_reco[x].Diagram()
#Last argument decides if un-taggeg showers/tracks should have random color (True) or grey (False)
display_reco.show()
display_mc.show()
#my_proc.run()
print
print ' Finished running pi0 training...'
print
#
# Store trained parameters
#
if ask_binary(' Store train result parameters? [y/n]:'):
my_algo.StoreParams()
print ' Parameter stored...'
print
return True
tname1 = "numi10.txt"
if x == 4:
T = 12
fname = "HitWire-nnbar12.root"
fname1 = "HitWire-numi12.root"
tname = "nnbar12.txt"
tname1 = "numi12.txt"
if x == 5:
T = 14
fname = "HitWire-nnbar14.root"
fname1 = "HitWire-numi14.root"
tname = "nnbar14.txt"
tname1 = "numi14.txt"
# Create ana_processor instance
my_proc = fmwk.ana_processor()
# add input files - nnbar rawdigit file
my_proc.add_input_file(sys.argv[1])
# Specify IO mode
my_proc.set_io_mode(fmwk.storage_manager.kREAD)
ana_unit = fmwk.SimpleWFAna(T, fname, tname, option)
my_proc.add_process(ana_unit)
print
print "Finished configuring ana_processor. Start event loop!"
print
def main():
if len(sys.argv) < 2:
msg = '\n'
msg += "Usage: %s $INPUT_ROOT_FILE\n" % sys.argv[0]
msg += '\n'
sys.stderr.write(msg)
sys.exit(1)
# Create Pi0 Filter
pi0_filter = fmwk.Pi0ContainmentFilter();
# Create ana_processor instance
my_proc = fmwk.ana_processor()
my_proc.enable_filter(True)
# Create algorithm
my_algo = ertool.AlgoPi0()
my_algo.setVerbose(True)
my_algo.setMinShrEnergy(10)
my_algo.setMaxShrEnergy(1000)
my_algo.setIPMax(10)
my_algo.setMinFitMass(50)
my_algo.setMaxFitMass(200)
my_algo.setAngleMax(3.14)
# Create filter
my_filter = ertool.FilterECut()
my_filter.SetECut(10) #cut on 10 MeV
# Create analysis unit
my_ana = fmwk.Pi0Quality()#ExampleERSelection()
# Set Producers
# First Argument: True = MC, False = Reco
my_ana.SetShowerProducer(True,"mcreco");
my_ana.SetTrackProducer(True,"mcreco");
my_ana.SetVtxProducer(True,"generator");
#my_ana.SetShowerProducer(False,"showerreco");
#my_ana.SetTrackProducer(False,"");
#my_ana.SetVtxProducer(False,"");
my_ana._mgr.SetFilter(my_filter)
my_ana._mgr.SetAlgo(my_algo)
my_ana._mgr._training_mode =True
# Obtain input root files
files = []
for x in xrange(len(sys.argv)-1):
fname = sys.argv[x+1]
if fname.endswith('.root'):
files.append(fname)
print
print ' Running AlgoPi0 training script...'
print
print ' Identified %2d input files' % len(files)
if not ask_binary(' Proceed? [y/n]:'): return False
print
if ask_binary(' Load previously extracted fit parameters? [y/n]:'):
my_algo.LoadParams()
my_proc.set_io_mode(fmwk.storage_manager.kREAD)
#my_proc.add_process(pi0_filter);
my_proc.add_process(my_ana)
for f in files:
my_proc.add_input_file(f)
my_ana._mgr.Reset()
my_proc.set_ana_output_file("pi0_training.root")
print ' Start running pi0 training...'
my_proc.run()
print
print ' Finished running pi0 training...'
print
#
# Store trained parameters
#
if ask_binary(' Store train result parameters? [y/n]:'):
my_algo.StoreParams()
print ' Parameter stored...'
print
return True
def main(**args):
my_proc = larlite.ana_processor()
my_proc.enable_event_alignment(False)
if args['verbose']:
print "Verbose mode turned on."
if args['source'] != None:
print "\tSource file is " + args['source']
if args['data_output'] != None:
print "\tData output file is " + args['data_output']
if args['ana_output'] != None:
print "\tAna output file is " + args['ana_output']
# my_proc.set_verbosity(larlite.msg.kDEBUG)
# else:
my_proc.set_verbosity(larlite.msg.kERROR)
if args['source'] == None:
print "Error: please specificy an input file with -s or --source."
quit()
if args['data_output'] == None:
args['data_output'] = "default_merge_output.root"
if args['verbose']:
print "No event output file selected. If necessary, output will go to: "
print "\t" + args['data_output']
if args['ana_output'] == None:
args['ana_output'] = "default_ana_output.root"
if args['verbose']:
print "No ana output file selected. If necessary, output will go to:"
print "\t" + args['ana_output']
if args['num_events'] != None:
nevents = int(args['num_events'])
my_proc.set_io_mode(larlite.storage_manager.kBOTH)
for x in args['source']:
my_proc.add_input_file(x)
my_proc.set_output_file(args['data_output'])
larutil.LArUtilManager.Reconfigure(larlite.geo.kArgoNeuT)
# Get the list of processes from argotool
procs = merge.argoMergeProcList()
# procs = merge.argoJointrackProcList()
for proc in procs:
my_proc.add_process(proc)
# my_proc.process_event(0)\
if args['num_events'] != None:
start = time.clock()
my_proc.run(0, nevents)
end = time.clock()
print "Processed ", nevents, " events in ", end - start, "seconds."
print "Average per event: ", (end - start) / nevents, "seconds."
else:
my_proc.run()
tname1 = op_name+"-numi12.txt"
print
print(op_name+", T = "+str(T))
print
if x == 5:
T = 14
fname = op_name+"-nnbar14.root"
fname1 = op_name+"-numi14.root"
tname = op_name+"-nnbar14.txt"
tname1 = op_name+"-numi14.txt"
print
print(op_name+", T = "+str(T))
print
# Create ana_processor instance
my_proc = fmwk.ana_processor()
# add input files - nnbar rawdigit file
my_proc.add_input_file(sys.argv[1])
# Specify IO mode
my_proc.set_io_mode(fmwk.storage_manager.kREAD)
ana_unit = fmwk.SimpleWFAna(T,fname,tname,option,plane)
my_proc.add_process(ana_unit)
print
print "Finished configuring ana_processor. Start event loop!"
print
def main():
if len(sys.argv) < 2:
msg = '\n'
msg += "Usage: %s $INPUT_ROOT_FILE\n" % sys.argv[0]
msg += '\n'
sys.stderr.write(msg)
sys.exit(1)
ertool.Manager()
print "manager"
#viewer
plt.ion()
display_reco = ERViewer()
print "display"
display_mc = ERViewer()
print "display"
display_reco.show()
print "show"
display_mc.show()
print "show"
# Create ana_processor instance
my_proc = fmwk.ana_processor()
# Create algorithm
my_algo = ertool.AlgoPi0()
my_algo.setVerbose(True)
my_algo.setMinShrEnergy(10)
my_algo.setMaxShrEnergy(1000)
my_algo.setIPMax(10)
my_algo.setMinFitMass(50)
my_algo.setMaxFitMass(200)
my_algo.setAngleMax(3.14)
# Create analysis unit
my_ana = fmwk.Pi0Reco()
# ************Set Producers**************
# First Argument: True = MC, False = Reco
#my_ana.SetShowerProducer(True,"mcreco");
#my_ana.SetTrackProducer(True,"mcreco");
my_ana.SetVtxProducer(False,"");
#my_ana.SetShowerProducer(False,"pandoraNuShower")
#my_ana.SetTrackProducer(False,"");
#my_ana.SetVtxProducer(False,"");
my_ana.SetShowerProducer(True,"showerreco");
#my_ana.SetTrackProducer(True,"mcreco");
#my_ana.SetVtxProducer(False,"");
# ************Set Producers**************
#help(my_ana._mgr)
my_ana._mgr.SetAlgo(my_algo)
my_ana._mgr._training_mode =True
# Obtain input root files
files = []
for x in xrange(len(sys.argv)-1):
fname = sys.argv[x+1]
if fname.endswith('.root'):
files.append(fname)
print
print ' Running AlgoPi0 training script...'
print
print ' Identified %2d input files' % len(files)
if not ask_binary(' Proceed? [y/n]:'): return False
print
if ask_binary(' Load previously extracted fit parameters? [y/n]:'):
my_algo.LoadParams()
my_proc.set_io_mode(fmwk.storage_manager.kREAD)
my_proc.add_process(my_ana)
for f in files:
my_proc.add_input_file(f)
my_ana._mgr.Reset()
my_proc.set_ana_output_file("pi0_viewing.root")
print ' Start running pi0 training...'
# Start event-by-event loop
counter = 0
while (counter < 1000):
try:
counter = input('Hit Enter to continue to next evt, or type in an event number to jump to that event:')
except SyntaxError:
counter = counter + 1
my_proc.process_event(counter)
# get objets and display
display_reco.clear()
display_mc.clear()
data_reco = my_ana.GetData()
part_reco = my_ana.GetParticles()
data_mc = my_ana.GetData(True)
part_mc = my_ana.GetParticles(True)
#display_reco.add(part_reco, data_reco, False)
display_mc.add(part_mc, data_mc, False)
display_reco.add(part_reco, data_reco, False)
for x in xrange(part_mc.size()):
print part_mc[x].Diagram()
#for x in xrange(part_reco.size()):
# print part_reco[x].Diagram()
#Last argument decides if un-taggeg showers/tracks should have random color (True) or grey (False)
display_reco.show()
display_mc.show()
#my_proc.run()
print
print ' Finished running pi0 training...'
print
#
# Store trained parameters
#
if ask_binary(' Store train result parameters? [y/n]:'):
my_algo.StoreParams()
print ' Parameter stored...'
print
return True
