Seems like secondary events for NG911 simulations are parametrized randomly

[stiber]

Graphitti/Tools/InputGeneration/ClusterPointProcess/cluster_point_process_functions.py

Lines 92 to 103 in 62ad162

	# The prototypes are selected base of 4 classes (0-3) where:
	# class 0 = 40% of events
	# class 1 = 50% of events
	# class 2 = 9% of events
	# class 3 = 1% of events
	# Each of this classes has a mean and standard deviation for the radius
	# and intensity of the generated secondary process
	proto_class = np.random.rand(len(prim_evts))
	proto_class[(proto_class >= 0.99)] = 3
	proto_class[proto_class < 0.4] = 0
	proto_class[(proto_class >= 0.4) & (proto_class < 0.9)] = 1
	proto_class[(proto_class >= 0.9) & (proto_class < 0.99)] = 2

I think that the prototypes for secondary event should be chosen based on the primary event type. This should be verified against @jardiamj 's thesis.