The Cluster3D pattern recognition/event reconstruction needs updating to accommodate dead channels and needs to continue to progress to become a useful alternative pattern recognition approach.
#1 Updated by Tracy Usher almost 3 years ago
Cluster3D has progressed. A fair bit of refactoring to split the steps into separate algorithms so that production of 3D space points, clustering of space points (including rejection of ambiguous clusters), basic analysis of clusters and then output to the data store has not been completed. Important improvement is to include the dead channels from the channel status database (also by hand including known "quiet wires" in the first induction plane of MicroBooNE). At the moment we only account for a dead channel in one of the three planes we are trying to form a space point, to do is to try to handle where there are dead wires in more than one plane.
The latest round of processing has been pushed to feature/usher_cluster3dupdates of larreco and lardata.