Module jetty::cluster

Jet clustering algorithms

In general, it is recommended to use the general-purpose ClusterHistory. It chooses dynamically between the following specialised algorithms:

• ClusterNaive: choose this algorithm if you know that the number of partons is not too big, at most about 25. Also use this algorithm for custom distances where the actual nearest neighbours are not always the nearest neighbours in ΔR.

• ClusterGeom: the fastest implemented algorithm for a number of partons roughly between 25 and 50.

• ClusterGeomTile: the fastest implemented algorithm for a large number of partons starting at about 50.

Modules

• geom
  Clustering using the geometric O(N^2) approach of arXiv:0512210
• geom_tile
  Clustering using the geometric O(N^2) approach of arXiv:0512210 with tiling
• naive
  Naive clustering

Structs

• ClusterHistory
  General-purpose cluster history

Enums

• ClusterStep
  Result of a clustering step

Traits

• Cluster
  Objects that can be clustered into jets
• ClusterHist
  Trait marking a clustering algorithm

Functions

• clusterDeprecated
  Cluster partons into jets using the distance measure d
• cluster_ifDeprecated
  Cluster partons into jets using the distance measure d Only jets for which accept is true are returned