NN training idea...

Possible to add result figure of merit (i.e. opposite of Punzi, significance) to the loss function when training neural networks?  Since we know the approximate ratio of signal to background reactions, it is possible to predict S and B for a specific cut.

After more thought, this will be hard to do, as S and B will not update with every event processed (or batch of events), and thus will not contribute to back propagation.