Hi! I am trying to setup an inference model with several signal templates which originate from the same dataset (process) and are produced using alternative weights. I guess one could implement it in a similar manner to hist-hooks, or define it as a shift in config, but both of this approaches are somewhat ugly I think. Is there a proper way to implement this?
Hi! I am trying to setup an inference model with several signal templates which originate from the same dataset (process) and are produced using alternative weights. I guess one could implement it in a similar manner to hist-hooks, or define it as a shift in config, but both of this approaches are somewhat ugly I think. Is there a proper way to implement this?