-
graphicle.calculate.cluster_coeff_distbn(pmu: MomentumArray, radius: float, pseudo: bool =
True, threads: int =1) ndarray[Any, dtype[float32]][source] A measure of clustering for a particle point-cloud. Transforms point-cloud into a graph, where node neighbourhood is determined by which particles fall within a distance on the \(\eta-\phi\) plane below
radius. The clustering coefficients of these nodes are then computed.New in version 0.3.4.
- Parameters:¶
- pmu : MomentumArray¶
Four-momenta of particles in the point-cloud.
- radius : float¶
Pairwise distance below which nodes are considered adjacent.
- pseudo : bool¶
If True, will use pseudorapidity, rather than true rapidity. Default is True.
- threads : int¶
Number of threads to use in the parallel portions of the calculation.
- Returns:¶
Clustering coefficients of the particles in the point-cloud.
- Return type:¶
ndarray[float32]
Last update:
Jun 27, 2025