getting neural network working in my KalekoAna stuff
implementing function to isolate clusters that are "good" based on MC things (reco angle matches MC angle, etc). goal is to look at reconstructed quantities of "good" clusters to pass those to the merging algorithms first
driver script to run my study alongside of a single cluster viewer for visual comparisons
Merge branch 'trunk' of github.com:/larlight/LArLight into trunk
Merge branch 'trunk' of github.com:/larlight/LArLight into trunk
Merge branch 'trunk' of github.com:/larlight/LArLight into trunk
Adding more stuff to try to figure out an initial cluster cut. Including looking at polygon objects, and importing code borrowed from ClusterMergeAlg to look at "cone" shape of showers (coneness)
minor commit to get git pull working
Merge branch 'trunk' of github.com:/larlight/LArLight into trunk