Speaker
Mikael Mieskolainen
(Helsinki Institute of Physics, University of Helsinki)
Description
We discuss the mathematical ill-posedness of measuring diffractive cross sections at the LHC. As a solution, a Bayesian algorithmic framework is proposed to regularize the ill-posedness.
Primary author
Mikael Mieskolainen
(Helsinki Institute of Physics, University of Helsinki)
