Invertible networks or partons to detector and back again

Invertible networks or partons to detector and back again

Blog Article

For simulations where the forward and the inverse directions BERGAMOT have a physics meaning, invertible neural networks are especially useful.A conditional INN can invert a detector simulation in terms of high-level observables, specifically for ZW production at the Accessories LHC.It allows for a per-event statistical interpretation.Next, we allow for a variable number of QCD jets.We unfold detector effects and QCD radiation to a pre-defined hard process, again with a per-event probabilistic interpretation over parton-level phase space.