A statistical tool to unfold data distributions

The paper advocates the use of a statistical tool dedicated to the exploration of data samples populated by several sources of events. This new technique, called P lot s , is able to unfold the contributions of the different sources to the distribution of a data sample in a given variable. The P lot s tool applies in the context of a likelihood fit which is performed on the data sample to determine the yields of the various sources.