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