Mu2e: neutrinoless mu->e conversion.
ANNs training for track quality determination and particle ID (differentiate electrons from muons), identify hit in tracker is likely to be from background or signal.
Vincenzo: RDataFrame should work out of the box with nested vectors, but what is your EDM?
Stephan: are they same length? For the momenta for example, momenta of segments, always 3 segments now?
Jonas Rembser: The RooUtil looks clean and usable, do you have a similar example with PyUtils? We can also understand what kind of interfaces are expected also for RDataFrame.
Jonas Rembser: do you know what users prefer?
Vincenzo: you mention SOFIE. Is this run per event on CPU?
Vincenzo: if you're also interested in re-training, there is a recent development in ROOT of a tool to generate batches of events from ROOT data so they can be read directly by ML models (e.g. TensorFlow, PyTorch).
Vincenzo: ROOT trainings?
Danilo: Any feedback on REve?
Danilo: Any suggestion regarding ROOT in general?