class PFSequence(object):
def __init__(self, simptcs, detector, logger):
self.logger = logger
self.recptcs = self.reconstruct(simptcs, detector)
def reconstruct(self, simptcs, detector):
self.pfinput = PFInput(simptcs)
elements = self.pfinput.element_list()
elements = merge_clusters(elements, 'hcal_in')
elements = merge_clusters(elements, 'ecal_in')
self.links = Links(elements, distance)
self.pfreco = PFReconstructor(self.links, detector, self.logger)
class PFSequence(object):
def __init__(self, simptcs, detector, logger):
self.logger = logger
self.recptcs = self.reconstruct(simptcs, detector)
def reconstruct(self, simptcs, detector):
self.pfinput = PFInput(simptcs)
elements = self.pfinput.element_list()
elements = merge_clusters(elements, 'hcal_in')
elements = merge_clusters(elements, 'ecal_in')
self.links = Links(elements, distance)
self.pfreco = PFReconstructor( self.links, detector, self.logger)
class PFSequence(object):
def __init__(self, simptcs, detector, logger):
self.logger = logger
self.recptcs = self.reconstruct(simptcs, detector)
def reconstruct(self, simptcs, detector):
self.pfinput = PFInput(simptcs)
elements = self.pfinput.element_list()
elements = merge_clusters(elements, 'hcal_in')
elements = merge_clusters(elements, 'ecal_in')
self.links = Links(elements, distance)
self.elements=elements #alice added this is so that the new reconstruction algorithms can start with
# the merged cluster
self.pfreco = PFReconstructor( self.links, detector, self.logger)
