One flow to correct them all: improving simulations in high-energy
  physics with a single normalising flow and a switch
Caio Cesar Daumann Mauro Donega Johannes Erdmann Massimiliano Galli Jan Lukas Späh Davide Valsecchi
Simulated events are key ingredients in almost all high-energy physics
analyses. However, imperfections in the simulation can lead to sizeable
differences between the observed data and simulated events. The effects of such
mismodelling on relevant observables must be corrected either effectively via
scale factors, with weights or by modifying the distributions of the
observables and their correlations. We introduce a correction method that
transforms one multidimensional distribution (simulation) into another one
(data) using a simple architecture based on a single normalising flow with a
boolean condition. We demonstrate the effectiveness of the method on a
physics-inspired toy dataset with non-trivial mismodelling of several
observables and their correlations.