Stochastic resolution of the LHC inverse problem.

We quantify the LHC inverse problem in the stochastic context by introducing a robust statistical discriminator mapping from the experimental signature space to the theory parameter space. Using this discriminator, after complementing LHC data by existing astrophysical, collider, and low energy measurements, we are able to significantly reduce the inverse problem. Our approach offers an essentially prior independent way to differentiate regions of the theory parameter space and uses LHC and other data on the same footing. [ABSTRACT FROM AUTHOR]