chains.register_concentrator("Supertriggercell", concentrator.create_supertriggercell)
chains.register_concentrator("Threshold", concentrator.create_threshold)
## BE1
chains.register_backend1("Ref2d", clustering2d.create_constrainedtopological)
chains.register_backend1("Dummy", clustering2d.create_dummy)
## BE2
chains.register_backend2("Ref3d", clustering3d.create_distance)
chains.register_backend2("Histomax", clustering3d.create_histoMax)
chains.register_backend2("Histomaxvardrth0", lambda p,i : clustering3d.create_histoMax_variableDr(p,i,seed_threshold=0.))
chains.register_backend2("Histomaxvardrth10", lambda p,i : clustering3d.create_histoMax_variableDr(p,i,seed_threshold=10.))
chains.register_backend2("Histomaxvardrth20", lambda p,i : clustering3d.create_histoMax_variableDr(p,i,seed_threshold=20.))
# Register ntuples
# Store gen info only in the reference ntuple
ntuple_list_ref = ['event', 'gen', 'multiclusters']
ntuple_list = ['event', 'multiclusters']
chains.register_ntuple("Genclustersntuple", lambda p,i : ntuple.create_ntuple(p,i, ntuple_list_ref))
chains.register_ntuple("Clustersntuple", lambda p,i : ntuple.create_ntuple(p,i, ntuple_list))
# Register trigger chains
## Reference chain
chains.register_chain('Floatingpoint8', "Threshold", 'Ref2d', 'Ref3d', 'Genclustersntuple')
concentrator_algos = ['Supertriggercell', 'Threshold']
backend_algos = ['Histomax', 'Histomaxvardrth0', 'Histomaxvardrth10', 'Histomaxvardrth20']
## Make cross product fo ECON and BE algos
import itertools
for cc,be in itertools.product(concentrator_algos,backend_algos):
chains.register_chain('Floatingpoint8', cc, 'Dummy', be, 'Clustersntuple')
process = chains.create_sequences(process)
# Remove towers from sequence
chains.register_backend2("Histomax", clustering3d.create_histoMax)
chains.register_backend2(
"Histomaxvardrth0", lambda p, i: clustering3d.create_histoMax_variableDr(
p, i, seed_threshold=0.))
chains.register_backend2(
"Histomaxvardrth10", lambda p, i: clustering3d.create_histoMax_variableDr(
p, i, seed_threshold=10.))
chains.register_backend2(
"Histomaxvardrth20", lambda p, i: clustering3d.create_histoMax_variableDr(
p, i, seed_threshold=20.))
# Register ntuples
# Store gen info only in the reference ntuple
ntuple_list_ref = ['event', 'gen', 'multiclusters']
ntuple_list = ['event', 'multiclusters']
chains.register_ntuple(
"Genclustersntuple",
lambda p, i: ntuple.create_ntuple(p, i, ntuple_list_ref))
chains.register_ntuple("Clustersntuple",
lambda p, i: ntuple.create_ntuple(p, i, ntuple_list))
# Register trigger chains
## Reference chain
chains.register_chain('Floatingpoint8', "Threshold", 'Ref2d', 'Ref3d',
'Genclustersntuple')
concentrator_algos = ['Supertriggercell', 'Threshold']
backend_algos = [
'Histomax', 'Histomaxvardrth0', 'Histomaxvardrth10', 'Histomaxvardrth20'
]
## Make cross product fo ECON and BE algos
import itertools
for cc, be in itertools.product(concentrator_algos, backend_algos):
## ECON
chains.register_concentrator("Supertriggercell",
concentrator.CreateSuperTriggerCell())
chains.register_concentrator("Threshold", concentrator.CreateThreshold())
chains.register_concentrator("Bestchoice", concentrator.CreateBestChoice())
chains.register_concentrator("AutoEncoder", concentrator.CreateAutoencoder())
## BE1
chains.register_backend1("Dummy", clustering2d.CreateDummy())
## BE2
chains.register_backend2("Histomax", clustering3d.CreateHistoMax())
# Register selector
chains.register_selector("Genmatch", selectors.CreateGenMatch())
# Register ntuples
ntuple_list = ['event', 'gen', 'multiclusters']
chains.register_ntuple("Genclustersntuple", ntuple.CreateNtuple(ntuple_list))
# Register trigger chains
concentrator_algos = [
'Supertriggercell', 'Threshold', 'Bestchoice', 'AutoEncoder'
]
backend_algos = ['Histomax']
## Make cross product fo ECON and BE algos
import itertools
for cc, be in itertools.product(concentrator_algos, backend_algos):
chains.register_chain('Floatingpoint', cc, 'Dummy', be, 'Genmatch',
'Genclustersntuple')
process = chains.create_sequences(process)
# Remove towers from sequence