This algorithm performs clustering on data from a Timepix3 device. The clustering method is a charge-weighted centre of gravity calculation, using a positional cut and a timing cut on proximity.
Split clusters can be recovered using a larger search radius for neighbouring pixels.
#### Parameters
*`timingCut`: The maximum value of the time difference between two pixels for them to be associated in a cluster. Default value is `100ns`.
*`neighbour_radius_col`: Search radius for neighbouring pixels in column direction, defaults to `1` (do not allow split clusters)
*`neighbour_radius_row`: Search radius for neighbouring pixels in row direction, defaults to `1` (do not allow split clusters)
#### Plots produced
For each detector the following plots are produced:
